diff --git a/build/NeuralNetwork.d.ts.map b/build/NeuralNetwork.d.ts.map
deleted file mode 100644
index 8d88bd8..0000000
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diff --git a/build/NeuralNetwork.js.map b/build/NeuralNetwork.js.map
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diff --git a/build/ageGenderNet/AgeGenderNet.d.ts.map b/build/ageGenderNet/AgeGenderNet.d.ts.map
deleted file mode 100644
index 88b08fc..0000000
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diff --git a/build/ageGenderNet/AgeGenderNet.js.map b/build/ageGenderNet/AgeGenderNet.js.map
deleted file mode 100644
index bceaba5..0000000
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diff --git a/build/ageGenderNet/extractParams.d.ts.map b/build/ageGenderNet/extractParams.d.ts.map
deleted file mode 100644
index 30a66b0..0000000
--- a/build/ageGenderNet/extractParams.d.ts.map
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diff --git a/build/ageGenderNet/extractParams.js.map b/build/ageGenderNet/extractParams.js.map
deleted file mode 100644
index 12160f9..0000000
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diff --git a/build/ageGenderNet/extractParamsFromWeigthMap.d.ts.map b/build/ageGenderNet/extractParamsFromWeigthMap.d.ts.map
deleted file mode 100644
index 5242977..0000000
--- a/build/ageGenderNet/extractParamsFromWeigthMap.d.ts.map
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diff --git a/build/ageGenderNet/extractParamsFromWeigthMap.js.map b/build/ageGenderNet/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index df329f4..0000000
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deleted file mode 100644
index 119ec1f..0000000
--- a/build/ageGenderNet/index.d.ts.map
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diff --git a/build/ageGenderNet/index.js.map b/build/ageGenderNet/index.js.map
deleted file mode 100644
index ede9f34..0000000
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deleted file mode 100644
index c572ce1..0000000
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diff --git a/build/ageGenderNet/types.js.map b/build/ageGenderNet/types.js.map
deleted file mode 100644
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deleted file mode 100644
index a562d35..0000000
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diff --git a/build/classes/BoundingBox.js.map b/build/classes/BoundingBox.js.map
deleted file mode 100644
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diff --git a/build/classes/Dimensions.d.ts.map b/build/classes/Dimensions.d.ts.map
deleted file mode 100644
index eef5fe2..0000000
--- a/build/classes/Dimensions.d.ts.map
+++ /dev/null
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diff --git a/build/classes/Dimensions.js.map b/build/classes/Dimensions.js.map
deleted file mode 100644
index bfe6d12..0000000
--- a/build/classes/Dimensions.js.map
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diff --git a/build/classes/FaceDetection.d.ts.map b/build/classes/FaceDetection.d.ts.map
deleted file mode 100644
index 82ba184..0000000
--- a/build/classes/FaceDetection.d.ts.map
+++ /dev/null
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diff --git a/build/classes/FaceDetection.js.map b/build/classes/FaceDetection.js.map
deleted file mode 100644
index 9d44742..0000000
--- a/build/classes/FaceDetection.js.map
+++ /dev/null
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diff --git a/build/classes/FaceLandmarks.d.ts.map b/build/classes/FaceLandmarks.d.ts.map
deleted file mode 100644
index 6d5b398..0000000
--- a/build/classes/FaceLandmarks.d.ts.map
+++ /dev/null
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diff --git a/build/classes/FaceLandmarks.js.map b/build/classes/FaceLandmarks.js.map
deleted file mode 100644
index c9efbf1..0000000
--- a/build/classes/FaceLandmarks.js.map
+++ /dev/null
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diff --git a/build/classes/FaceLandmarks5.d.ts.map b/build/classes/FaceLandmarks5.d.ts.map
deleted file mode 100644
index bddef32..0000000
--- a/build/classes/FaceLandmarks5.d.ts.map
+++ /dev/null
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diff --git a/build/classes/FaceLandmarks5.js.map b/build/classes/FaceLandmarks5.js.map
deleted file mode 100644
index 45742b8..0000000
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diff --git a/build/classes/FaceLandmarks68.d.ts.map b/build/classes/FaceLandmarks68.d.ts.map
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index a0918c6..0000000
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+++ /dev/null
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diff --git a/build/classes/FaceLandmarks68.js.map b/build/classes/FaceLandmarks68.js.map
deleted file mode 100644
index 81207b8..0000000
--- a/build/classes/FaceLandmarks68.js.map
+++ /dev/null
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diff --git a/build/classes/FaceMatch.d.ts.map b/build/classes/FaceMatch.d.ts.map
deleted file mode 100644
index 6eb8c49..0000000
--- a/build/classes/FaceMatch.d.ts.map
+++ /dev/null
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diff --git a/build/classes/FaceMatch.js.map b/build/classes/FaceMatch.js.map
deleted file mode 100644
index 5db9542..0000000
--- a/build/classes/FaceMatch.js.map
+++ /dev/null
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diff --git a/build/classes/LabeledBox.d.ts.map b/build/classes/LabeledBox.d.ts.map
deleted file mode 100644
index a7d3856..0000000
--- a/build/classes/LabeledBox.d.ts.map
+++ /dev/null
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diff --git a/build/classes/LabeledBox.js.map b/build/classes/LabeledBox.js.map
deleted file mode 100644
index 8b65e62..0000000
--- a/build/classes/LabeledBox.js.map
+++ /dev/null
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diff --git a/build/classes/LabeledFaceDescriptors.d.ts.map b/build/classes/LabeledFaceDescriptors.d.ts.map
deleted file mode 100644
index 75f469b..0000000
--- a/build/classes/LabeledFaceDescriptors.d.ts.map
+++ /dev/null
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diff --git a/build/classes/LabeledFaceDescriptors.js.map b/build/classes/LabeledFaceDescriptors.js.map
deleted file mode 100644
index 1fe1609..0000000
--- a/build/classes/LabeledFaceDescriptors.js.map
+++ /dev/null
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diff --git a/build/classes/ObjectDetection.d.ts.map b/build/classes/ObjectDetection.d.ts.map
deleted file mode 100644
index a949c32..0000000
--- a/build/classes/ObjectDetection.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/classes/ObjectDetection.js.map b/build/classes/ObjectDetection.js.map
deleted file mode 100644
index 8e8f888..0000000
--- a/build/classes/ObjectDetection.js.map
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deleted file mode 100644
index 7206d1a..0000000
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diff --git a/build/classes/Point.js.map b/build/classes/Point.js.map
deleted file mode 100644
index 9e94353..0000000
--- a/build/classes/Point.js.map
+++ /dev/null
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diff --git a/build/classes/PredictedBox.d.ts.map b/build/classes/PredictedBox.d.ts.map
deleted file mode 100644
index 287999a..0000000
--- a/build/classes/PredictedBox.d.ts.map
+++ /dev/null
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diff --git a/build/classes/PredictedBox.js.map b/build/classes/PredictedBox.js.map
deleted file mode 100644
index d08214a..0000000
--- a/build/classes/PredictedBox.js.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/classes/Rect.d.ts.map b/build/classes/Rect.d.ts.map
deleted file mode 100644
index 238fdbf..0000000
--- a/build/classes/Rect.d.ts.map
+++ /dev/null
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diff --git a/build/classes/Rect.js.map b/build/classes/Rect.js.map
deleted file mode 100644
index d7e1adf..0000000
--- a/build/classes/Rect.js.map
+++ /dev/null
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diff --git a/build/classes/index.d.ts.map b/build/classes/index.d.ts.map
deleted file mode 100644
index 527b511..0000000
--- a/build/classes/index.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/classes/index.js.map b/build/classes/index.js.map
deleted file mode 100644
index cb05ee0..0000000
--- a/build/classes/index.js.map
+++ /dev/null
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diff --git a/build/common/convLayer.d.ts.map b/build/common/convLayer.d.ts.map
deleted file mode 100644
index 691738d..0000000
--- a/build/common/convLayer.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/common/convLayer.js.map b/build/common/convLayer.js.map
deleted file mode 100644
index c148fa0..0000000
--- a/build/common/convLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/common/depthwiseSeparableConv.d.ts.map b/build/common/depthwiseSeparableConv.d.ts.map
deleted file mode 100644
index c4174b2..0000000
--- a/build/common/depthwiseSeparableConv.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/common/depthwiseSeparableConv.js.map b/build/common/depthwiseSeparableConv.js.map
deleted file mode 100644
index de28b10..0000000
--- a/build/common/depthwiseSeparableConv.js.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/common/disposeUnusedWeightTensors.d.ts.map b/build/common/disposeUnusedWeightTensors.d.ts.map
deleted file mode 100644
index f18fad4..0000000
--- a/build/common/disposeUnusedWeightTensors.d.ts.map
+++ /dev/null
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diff --git a/build/common/disposeUnusedWeightTensors.js.map b/build/common/disposeUnusedWeightTensors.js.map
deleted file mode 100644
index b917cd1..0000000
--- a/build/common/disposeUnusedWeightTensors.js.map
+++ /dev/null
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diff --git a/build/common/extractConvParamsFactory.d.ts.map b/build/common/extractConvParamsFactory.d.ts.map
deleted file mode 100644
index 12e45b9..0000000
--- a/build/common/extractConvParamsFactory.d.ts.map
+++ /dev/null
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\ No newline at end of file
diff --git a/build/common/extractConvParamsFactory.js.map b/build/common/extractConvParamsFactory.js.map
deleted file mode 100644
index 1668983..0000000
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+++ /dev/null
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diff --git a/build/common/extractFCParamsFactory.d.ts.map b/build/common/extractFCParamsFactory.d.ts.map
deleted file mode 100644
index 28f8b5c..0000000
--- a/build/common/extractFCParamsFactory.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/common/extractFCParamsFactory.js.map b/build/common/extractFCParamsFactory.js.map
deleted file mode 100644
index ab9eed4..0000000
--- a/build/common/extractFCParamsFactory.js.map
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index 2f6213d..0000000
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diff --git a/build/common/extractSeparableConvParamsFactory.js.map b/build/common/extractSeparableConvParamsFactory.js.map
deleted file mode 100644
index b173824..0000000
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diff --git a/build/common/extractWeightEntryFactory.d.ts.map b/build/common/extractWeightEntryFactory.d.ts.map
deleted file mode 100644
index ec473ac..0000000
--- a/build/common/extractWeightEntryFactory.d.ts.map
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diff --git a/build/common/extractWeightEntryFactory.js.map b/build/common/extractWeightEntryFactory.js.map
deleted file mode 100644
index f335393..0000000
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diff --git a/build/common/extractWeightsFactory.d.ts.map b/build/common/extractWeightsFactory.d.ts.map
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index 475213b..0000000
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diff --git a/build/common/extractWeightsFactory.js.map b/build/common/extractWeightsFactory.js.map
deleted file mode 100644
index 18852fd..0000000
--- a/build/common/extractWeightsFactory.js.map
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diff --git a/build/common/fullyConnectedLayer.d.ts.map b/build/common/fullyConnectedLayer.d.ts.map
deleted file mode 100644
index 4462131..0000000
--- a/build/common/fullyConnectedLayer.d.ts.map
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diff --git a/build/common/fullyConnectedLayer.js.map b/build/common/fullyConnectedLayer.js.map
deleted file mode 100644
index 450db69..0000000
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diff --git a/build/common/getModelUris.d.ts.map b/build/common/getModelUris.d.ts.map
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index 2809004..0000000
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diff --git a/build/common/getModelUris.js.map b/build/common/getModelUris.js.map
deleted file mode 100644
index c126833..0000000
--- a/build/common/getModelUris.js.map
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diff --git a/build/common/index.d.ts.map b/build/common/index.d.ts.map
deleted file mode 100644
index ef8bf55..0000000
--- a/build/common/index.d.ts.map
+++ /dev/null
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diff --git a/build/common/index.js.map b/build/common/index.js.map
deleted file mode 100644
index 88dbe26..0000000
--- a/build/common/index.js.map
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diff --git a/build/common/loadConvParamsFactory.d.ts.map b/build/common/loadConvParamsFactory.d.ts.map
deleted file mode 100644
index 2e6d80a..0000000
--- a/build/common/loadConvParamsFactory.d.ts.map
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@@ -1 +0,0 @@
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diff --git a/build/common/loadConvParamsFactory.js.map b/build/common/loadConvParamsFactory.js.map
deleted file mode 100644
index 2207c63..0000000
--- a/build/common/loadConvParamsFactory.js.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/common/types.d.ts.map b/build/common/types.d.ts.map
deleted file mode 100644
index c66714e..0000000
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+++ /dev/null
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diff --git a/build/common/types.js.map b/build/common/types.js.map
deleted file mode 100644
index 72e0e1f..0000000
--- a/build/common/types.js.map
+++ /dev/null
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diff --git a/build/dom/NetInput.d.ts.map b/build/dom/NetInput.d.ts.map
deleted file mode 100644
index c810e72..0000000
--- a/build/dom/NetInput.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/dom/NetInput.js.map b/build/dom/NetInput.js.map
deleted file mode 100644
index 82d2a5b..0000000
--- a/build/dom/NetInput.js.map
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diff --git a/build/dom/awaitMediaLoaded.d.ts.map b/build/dom/awaitMediaLoaded.d.ts.map
deleted file mode 100644
index d313474..0000000
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diff --git a/build/dom/awaitMediaLoaded.js.map b/build/dom/awaitMediaLoaded.js.map
deleted file mode 100644
index f2f9db6..0000000
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diff --git a/build/dom/bufferToImage.d.ts.map b/build/dom/bufferToImage.d.ts.map
deleted file mode 100644
index b0b1a64..0000000
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diff --git a/build/dom/bufferToImage.js.map b/build/dom/bufferToImage.js.map
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diff --git a/build/dom/createCanvas.d.ts.map b/build/dom/createCanvas.d.ts.map
deleted file mode 100644
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diff --git a/build/dom/createCanvas.js.map b/build/dom/createCanvas.js.map
deleted file mode 100644
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diff --git a/build/dom/extractFaceTensors.d.ts.map b/build/dom/extractFaceTensors.d.ts.map
deleted file mode 100644
index 2062035..0000000
--- a/build/dom/extractFaceTensors.d.ts.map
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diff --git a/build/dom/extractFaceTensors.js.map b/build/dom/extractFaceTensors.js.map
deleted file mode 100644
index df8d54d..0000000
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diff --git a/build/dom/extractFaces.d.ts.map b/build/dom/extractFaces.d.ts.map
deleted file mode 100644
index 649d101..0000000
--- a/build/dom/extractFaces.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/dom/extractFaces.js.map b/build/dom/extractFaces.js.map
deleted file mode 100644
index a32ace6..0000000
--- a/build/dom/extractFaces.js.map
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diff --git a/build/dom/fetchImage.d.ts.map b/build/dom/fetchImage.d.ts.map
deleted file mode 100644
index 1ce45eb..0000000
--- a/build/dom/fetchImage.d.ts.map
+++ /dev/null
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diff --git a/build/dom/fetchImage.js.map b/build/dom/fetchImage.js.map
deleted file mode 100644
index d0cc64f..0000000
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diff --git a/build/dom/fetchJson.d.ts.map b/build/dom/fetchJson.d.ts.map
deleted file mode 100644
index 5617f7d..0000000
--- a/build/dom/fetchJson.d.ts.map
+++ /dev/null
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diff --git a/build/dom/fetchJson.js.map b/build/dom/fetchJson.js.map
deleted file mode 100644
index 6bf9837..0000000
--- a/build/dom/fetchJson.js.map
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diff --git a/build/dom/fetchNetWeights.d.ts.map b/build/dom/fetchNetWeights.d.ts.map
deleted file mode 100644
index 4e30092..0000000
--- a/build/dom/fetchNetWeights.d.ts.map
+++ /dev/null
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diff --git a/build/dom/fetchNetWeights.js.map b/build/dom/fetchNetWeights.js.map
deleted file mode 100644
index 54c9b42..0000000
--- a/build/dom/fetchNetWeights.js.map
+++ /dev/null
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diff --git a/build/dom/fetchOrThrow.d.ts.map b/build/dom/fetchOrThrow.d.ts.map
deleted file mode 100644
index e7ee2bb..0000000
--- a/build/dom/fetchOrThrow.d.ts.map
+++ /dev/null
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diff --git a/build/dom/fetchOrThrow.js.map b/build/dom/fetchOrThrow.js.map
deleted file mode 100644
index 555f1d1..0000000
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diff --git a/build/dom/getContext2dOrThrow.d.ts.map b/build/dom/getContext2dOrThrow.d.ts.map
deleted file mode 100644
index 4ad3099..0000000
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diff --git a/build/dom/getContext2dOrThrow.js.map b/build/dom/getContext2dOrThrow.js.map
deleted file mode 100644
index b05eaab..0000000
--- a/build/dom/getContext2dOrThrow.js.map
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diff --git a/build/dom/getMediaDimensions.d.ts.map b/build/dom/getMediaDimensions.d.ts.map
deleted file mode 100644
index a2b1a83..0000000
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diff --git a/build/dom/getMediaDimensions.js.map b/build/dom/getMediaDimensions.js.map
deleted file mode 100644
index 6b87098..0000000
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diff --git a/build/dom/imageTensorToCanvas.d.ts.map b/build/dom/imageTensorToCanvas.d.ts.map
deleted file mode 100644
index 57a0388..0000000
--- a/build/dom/imageTensorToCanvas.d.ts.map
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diff --git a/build/dom/imageTensorToCanvas.js.map b/build/dom/imageTensorToCanvas.js.map
deleted file mode 100644
index 4628ee2..0000000
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diff --git a/build/dom/imageToSquare.d.ts.map b/build/dom/imageToSquare.d.ts.map
deleted file mode 100644
index 3019469..0000000
--- a/build/dom/imageToSquare.d.ts.map
+++ /dev/null
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diff --git a/build/dom/imageToSquare.js.map b/build/dom/imageToSquare.js.map
deleted file mode 100644
index 3fe3b95..0000000
--- a/build/dom/imageToSquare.js.map
+++ /dev/null
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diff --git a/build/dom/index.d.ts.map b/build/dom/index.d.ts.map
deleted file mode 100644
index cf719f1..0000000
--- a/build/dom/index.d.ts.map
+++ /dev/null
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diff --git a/build/dom/index.js.map b/build/dom/index.js.map
deleted file mode 100644
index 8e7927e..0000000
--- a/build/dom/index.js.map
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diff --git a/build/dom/isMediaElement.d.ts.map b/build/dom/isMediaElement.d.ts.map
deleted file mode 100644
index 483b7b0..0000000
--- a/build/dom/isMediaElement.d.ts.map
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diff --git a/build/dom/isMediaElement.js.map b/build/dom/isMediaElement.js.map
deleted file mode 100644
index 47c5138..0000000
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diff --git a/build/dom/isMediaLoaded.d.ts.map b/build/dom/isMediaLoaded.d.ts.map
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index 607153f..0000000
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diff --git a/build/dom/isMediaLoaded.js.map b/build/dom/isMediaLoaded.js.map
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index 1efee53..0000000
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deleted file mode 100644
index 1df48d9..0000000
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diff --git a/build/dom/loadWeightMap.js.map b/build/dom/loadWeightMap.js.map
deleted file mode 100644
index 01f9677..0000000
--- a/build/dom/loadWeightMap.js.map
+++ /dev/null
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diff --git a/build/dom/matchDimensions.d.ts.map b/build/dom/matchDimensions.d.ts.map
deleted file mode 100644
index 6a8b8db..0000000
--- a/build/dom/matchDimensions.d.ts.map
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diff --git a/build/dom/matchDimensions.js.map b/build/dom/matchDimensions.js.map
deleted file mode 100644
index 5ffc284..0000000
--- a/build/dom/matchDimensions.js.map
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diff --git a/build/dom/resolveInput.d.ts.map b/build/dom/resolveInput.d.ts.map
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index b3cc3e7..0000000
--- a/build/dom/resolveInput.d.ts.map
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diff --git a/build/dom/resolveInput.js.map b/build/dom/resolveInput.js.map
deleted file mode 100644
index 2638891..0000000
--- a/build/dom/resolveInput.js.map
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diff --git a/build/dom/toNetInput.d.ts.map b/build/dom/toNetInput.d.ts.map
deleted file mode 100644
index 363ee4f..0000000
--- a/build/dom/toNetInput.d.ts.map
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diff --git a/build/dom/toNetInput.js.map b/build/dom/toNetInput.js.map
deleted file mode 100644
index 9de0b21..0000000
--- a/build/dom/toNetInput.js.map
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diff --git a/build/dom/types.d.ts.map b/build/dom/types.d.ts.map
deleted file mode 100644
index 7bb2d56..0000000
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diff --git a/build/draw/DrawBox.d.ts.map b/build/draw/DrawBox.d.ts.map
deleted file mode 100644
index 0b2c476..0000000
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diff --git a/build/draw/DrawBox.js.map b/build/draw/DrawBox.js.map
deleted file mode 100644
index 5156f6b..0000000
--- a/build/draw/DrawBox.js.map
+++ /dev/null
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\ No newline at end of file
diff --git a/build/draw/DrawFaceLandmarks.d.ts.map b/build/draw/DrawFaceLandmarks.d.ts.map
deleted file mode 100644
index 7f4817b..0000000
--- a/build/draw/DrawFaceLandmarks.d.ts.map
+++ /dev/null
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diff --git a/build/draw/DrawFaceLandmarks.js.map b/build/draw/DrawFaceLandmarks.js.map
deleted file mode 100644
index 50f2ac5..0000000
--- a/build/draw/DrawFaceLandmarks.js.map
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diff --git a/build/draw/DrawTextField.d.ts.map b/build/draw/DrawTextField.d.ts.map
deleted file mode 100644
index 7231b9c..0000000
--- a/build/draw/DrawTextField.d.ts.map
+++ /dev/null
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diff --git a/build/draw/DrawTextField.js.map b/build/draw/DrawTextField.js.map
deleted file mode 100644
index d76c823..0000000
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diff --git a/build/draw/drawContour.d.ts.map b/build/draw/drawContour.d.ts.map
deleted file mode 100644
index 0d40b23..0000000
--- a/build/draw/drawContour.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/draw/drawContour.js.map b/build/draw/drawContour.js.map
deleted file mode 100644
index 8013d7c..0000000
--- a/build/draw/drawContour.js.map
+++ /dev/null
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diff --git a/build/draw/drawDetections.d.ts.map b/build/draw/drawDetections.d.ts.map
deleted file mode 100644
index 6aee208..0000000
--- a/build/draw/drawDetections.d.ts.map
+++ /dev/null
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diff --git a/build/draw/drawDetections.js.map b/build/draw/drawDetections.js.map
deleted file mode 100644
index b8ad19a..0000000
--- a/build/draw/drawDetections.js.map
+++ /dev/null
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diff --git a/build/draw/drawFaceExpressions.d.ts.map b/build/draw/drawFaceExpressions.d.ts.map
deleted file mode 100644
index 7f6e74d..0000000
--- a/build/draw/drawFaceExpressions.d.ts.map
+++ /dev/null
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diff --git a/build/draw/drawFaceExpressions.js.map b/build/draw/drawFaceExpressions.js.map
deleted file mode 100644
index 2e6d902..0000000
--- a/build/draw/drawFaceExpressions.js.map
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diff --git a/build/draw/index.d.ts.map b/build/draw/index.d.ts.map
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index 155481b..0000000
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diff --git a/build/draw/index.js.map b/build/draw/index.js.map
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index 3798149..0000000
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diff --git a/build/env/createBrowserEnv.d.ts.map b/build/env/createBrowserEnv.d.ts.map
deleted file mode 100644
index 7fd9c24..0000000
--- a/build/env/createBrowserEnv.d.ts.map
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diff --git a/build/env/createBrowserEnv.js.map b/build/env/createBrowserEnv.js.map
deleted file mode 100644
index 84a5722..0000000
--- a/build/env/createBrowserEnv.js.map
+++ /dev/null
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diff --git a/build/env/createFileSystem.d.ts.map b/build/env/createFileSystem.d.ts.map
deleted file mode 100644
index 602b7c1..0000000
--- a/build/env/createFileSystem.d.ts.map
+++ /dev/null
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diff --git a/build/env/createFileSystem.js.map b/build/env/createFileSystem.js.map
deleted file mode 100644
index 7afcb9c..0000000
--- a/build/env/createFileSystem.js.map
+++ /dev/null
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diff --git a/build/env/createNodejsEnv.d.ts.map b/build/env/createNodejsEnv.d.ts.map
deleted file mode 100644
index 0207973..0000000
--- a/build/env/createNodejsEnv.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/env/createNodejsEnv.js.map b/build/env/createNodejsEnv.js.map
deleted file mode 100644
index 5cd998b..0000000
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+++ /dev/null
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diff --git a/build/env/index.d.ts.map b/build/env/index.d.ts.map
deleted file mode 100644
index f882103..0000000
--- a/build/env/index.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/env/index.js.map b/build/env/index.js.map
deleted file mode 100644
index 3d80f8b..0000000
--- a/build/env/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/env/isBrowser.d.ts.map b/build/env/isBrowser.d.ts.map
deleted file mode 100644
index 14a3b6d..0000000
--- a/build/env/isBrowser.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/env/isBrowser.js.map b/build/env/isBrowser.js.map
deleted file mode 100644
index 8482cea..0000000
--- a/build/env/isBrowser.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/env/isNodejs.d.ts.map b/build/env/isNodejs.d.ts.map
deleted file mode 100644
index 637acc1..0000000
--- a/build/env/isNodejs.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/env/isNodejs.js.map b/build/env/isNodejs.js.map
deleted file mode 100644
index 7da5c2d..0000000
--- a/build/env/isNodejs.js.map
+++ /dev/null
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\ No newline at end of file
diff --git a/build/env/types.d.ts.map b/build/env/types.d.ts.map
deleted file mode 100644
index 8c9f9dc..0000000
--- a/build/env/types.d.ts.map
+++ /dev/null
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diff --git a/build/euclideanDistance.d.ts.map b/build/euclideanDistance.d.ts.map
deleted file mode 100644
index a1c4064..0000000
--- a/build/euclideanDistance.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/euclideanDistance.js.map b/build/euclideanDistance.js.map
deleted file mode 100644
index 0f5a0d0..0000000
--- a/build/euclideanDistance.js.map
+++ /dev/null
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\ No newline at end of file
diff --git a/build/faceExpressionNet/FaceExpressionNet.d.ts.map b/build/faceExpressionNet/FaceExpressionNet.d.ts.map
deleted file mode 100644
index f9b5e96..0000000
--- a/build/faceExpressionNet/FaceExpressionNet.d.ts.map
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diff --git a/build/faceExpressionNet/FaceExpressionNet.js.map b/build/faceExpressionNet/FaceExpressionNet.js.map
deleted file mode 100644
index 57f81ad..0000000
--- a/build/faceExpressionNet/FaceExpressionNet.js.map
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diff --git a/build/faceExpressionNet/FaceExpressions.d.ts.map b/build/faceExpressionNet/FaceExpressions.d.ts.map
deleted file mode 100644
index 389f056..0000000
--- a/build/faceExpressionNet/FaceExpressions.d.ts.map
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diff --git a/build/faceExpressionNet/FaceExpressions.js.map b/build/faceExpressionNet/FaceExpressions.js.map
deleted file mode 100644
index 4982892..0000000
--- a/build/faceExpressionNet/FaceExpressions.js.map
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diff --git a/build/faceExpressionNet/index.d.ts.map b/build/faceExpressionNet/index.d.ts.map
deleted file mode 100644
index a1db295..0000000
--- a/build/faceExpressionNet/index.d.ts.map
+++ /dev/null
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diff --git a/build/faceExpressionNet/index.js.map b/build/faceExpressionNet/index.js.map
deleted file mode 100644
index 2d00583..0000000
--- a/build/faceExpressionNet/index.js.map
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diff --git a/build/faceFeatureExtractor/FaceFeatureExtractor.d.ts.map b/build/faceFeatureExtractor/FaceFeatureExtractor.d.ts.map
deleted file mode 100644
index e20752c..0000000
--- a/build/faceFeatureExtractor/FaceFeatureExtractor.d.ts.map
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diff --git a/build/faceFeatureExtractor/FaceFeatureExtractor.js.map b/build/faceFeatureExtractor/FaceFeatureExtractor.js.map
deleted file mode 100644
index 1f16b85..0000000
--- a/build/faceFeatureExtractor/FaceFeatureExtractor.js.map
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diff --git a/build/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts.map b/build/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts.map
deleted file mode 100644
index 1fa2dd9..0000000
--- a/build/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map b/build/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map
deleted file mode 100644
index a4133b7..0000000
--- a/build/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/denseBlock.d.ts.map b/build/faceFeatureExtractor/denseBlock.d.ts.map
deleted file mode 100644
index 4fa3dd2..0000000
--- a/build/faceFeatureExtractor/denseBlock.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/denseBlock.js.map b/build/faceFeatureExtractor/denseBlock.js.map
deleted file mode 100644
index dd1c115..0000000
--- a/build/faceFeatureExtractor/denseBlock.js.map
+++ /dev/null
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diff --git a/build/faceFeatureExtractor/extractParams.d.ts.map b/build/faceFeatureExtractor/extractParams.d.ts.map
deleted file mode 100644
index c811954..0000000
--- a/build/faceFeatureExtractor/extractParams.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/faceFeatureExtractor/extractParams.js.map b/build/faceFeatureExtractor/extractParams.js.map
deleted file mode 100644
index bf2faab..0000000
--- a/build/faceFeatureExtractor/extractParams.js.map
+++ /dev/null
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diff --git a/build/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts.map b/build/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts.map
deleted file mode 100644
index ea8c6cb..0000000
--- a/build/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/faceFeatureExtractor/extractParamsFromWeigthMap.js.map b/build/faceFeatureExtractor/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index 24f7db7..0000000
--- a/build/faceFeatureExtractor/extractParamsFromWeigthMap.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts.map b/build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts.map
deleted file mode 100644
index 622e6a7..0000000
--- a/build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map b/build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map
deleted file mode 100644
index 6649114..0000000
--- a/build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParamsTiny.d.ts.map b/build/faceFeatureExtractor/extractParamsTiny.d.ts.map
deleted file mode 100644
index 3b33a42..0000000
--- a/build/faceFeatureExtractor/extractParamsTiny.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParamsTiny.js.map b/build/faceFeatureExtractor/extractParamsTiny.js.map
deleted file mode 100644
index 782843e..0000000
--- a/build/faceFeatureExtractor/extractParamsTiny.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractorsFactory.d.ts.map b/build/faceFeatureExtractor/extractorsFactory.d.ts.map
deleted file mode 100644
index ee805c3..0000000
--- a/build/faceFeatureExtractor/extractorsFactory.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractorsFactory.js.map b/build/faceFeatureExtractor/extractorsFactory.js.map
deleted file mode 100644
index 639df6b..0000000
--- a/build/faceFeatureExtractor/extractorsFactory.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/index.d.ts.map b/build/faceFeatureExtractor/index.d.ts.map
deleted file mode 100644
index 111cb76..0000000
--- a/build/faceFeatureExtractor/index.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/index.js.map b/build/faceFeatureExtractor/index.js.map
deleted file mode 100644
index 3f6f866..0000000
--- a/build/faceFeatureExtractor/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/loadParamsFactory.d.ts.map b/build/faceFeatureExtractor/loadParamsFactory.d.ts.map
deleted file mode 100644
index 1ea06e2..0000000
--- a/build/faceFeatureExtractor/loadParamsFactory.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/loadParamsFactory.js.map b/build/faceFeatureExtractor/loadParamsFactory.js.map
deleted file mode 100644
index 1959176..0000000
--- a/build/faceFeatureExtractor/loadParamsFactory.js.map
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diff --git a/build/faceLandmarkNet/FaceLandmark68Net.d.ts.map b/build/faceLandmarkNet/FaceLandmark68Net.d.ts.map
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diff --git a/build/faceLandmarkNet/FaceLandmark68Net.js.map b/build/faceLandmarkNet/FaceLandmark68Net.js.map
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diff --git a/build/faceLandmarkNet/FaceLandmark68NetBase.d.ts.map b/build/faceLandmarkNet/FaceLandmark68NetBase.d.ts.map
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diff --git a/build/faceLandmarkNet/FaceLandmark68NetBase.js.map b/build/faceLandmarkNet/FaceLandmark68NetBase.js.map
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diff --git a/build/faceLandmarkNet/FaceLandmark68TinyNet.d.ts.map b/build/faceLandmarkNet/FaceLandmark68TinyNet.d.ts.map
deleted file mode 100644
index f783020..0000000
--- a/build/faceLandmarkNet/FaceLandmark68TinyNet.d.ts.map
+++ /dev/null
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diff --git a/build/faceLandmarkNet/FaceLandmark68TinyNet.js.map b/build/faceLandmarkNet/FaceLandmark68TinyNet.js.map
deleted file mode 100644
index a2fcdcb..0000000
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diff --git a/build/faceLandmarkNet/index.d.ts.map b/build/faceLandmarkNet/index.d.ts.map
deleted file mode 100644
index e4e3c97..0000000
--- a/build/faceLandmarkNet/index.d.ts.map
+++ /dev/null
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diff --git a/build/faceLandmarkNet/index.js.map b/build/faceLandmarkNet/index.js.map
deleted file mode 100644
index d957c37..0000000
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+++ /dev/null
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diff --git a/build/faceProcessor/FaceProcessor.d.ts.map b/build/faceProcessor/FaceProcessor.d.ts.map
deleted file mode 100644
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diff --git a/build/faceProcessor/FaceProcessor.js.map b/build/faceProcessor/FaceProcessor.js.map
deleted file mode 100644
index f4bb7f6..0000000
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diff --git a/build/faceProcessor/extractParams.d.ts.map b/build/faceProcessor/extractParams.d.ts.map
deleted file mode 100644
index d6fad91..0000000
--- a/build/faceProcessor/extractParams.d.ts.map
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diff --git a/build/faceProcessor/extractParams.js.map b/build/faceProcessor/extractParams.js.map
deleted file mode 100644
index 6807039..0000000
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diff --git a/build/faceProcessor/extractParamsFromWeigthMap.d.ts.map b/build/faceProcessor/extractParamsFromWeigthMap.d.ts.map
deleted file mode 100644
index a691247..0000000
--- a/build/faceProcessor/extractParamsFromWeigthMap.d.ts.map
+++ /dev/null
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diff --git a/build/faceProcessor/extractParamsFromWeigthMap.js.map b/build/faceProcessor/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index c04cc81..0000000
--- a/build/faceProcessor/extractParamsFromWeigthMap.js.map
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diff --git a/build/faceProcessor/index.d.ts.map b/build/faceProcessor/index.d.ts.map
deleted file mode 100644
index 1f256e1..0000000
--- a/build/faceProcessor/index.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/faceProcessor/index.js.map b/build/faceProcessor/index.js.map
deleted file mode 100644
index 0ea0f85..0000000
--- a/build/faceProcessor/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/faceProcessor/types.d.ts.map b/build/faceProcessor/types.d.ts.map
deleted file mode 100644
index d4baf93..0000000
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diff --git a/build/faceProcessor/util.d.ts.map b/build/faceProcessor/util.d.ts.map
deleted file mode 100644
index 059a296..0000000
--- a/build/faceProcessor/util.d.ts.map
+++ /dev/null
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diff --git a/build/faceProcessor/util.js.map b/build/faceProcessor/util.js.map
deleted file mode 100644
index 282c9d7..0000000
--- a/build/faceProcessor/util.js.map
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diff --git a/build/faceRecognitionNet/FaceRecognitionNet.d.ts.map b/build/faceRecognitionNet/FaceRecognitionNet.d.ts.map
deleted file mode 100644
index 61c3c67..0000000
--- a/build/faceRecognitionNet/FaceRecognitionNet.d.ts.map
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diff --git a/build/faceRecognitionNet/FaceRecognitionNet.js.map b/build/faceRecognitionNet/FaceRecognitionNet.js.map
deleted file mode 100644
index c6af66a..0000000
--- a/build/faceRecognitionNet/FaceRecognitionNet.js.map
+++ /dev/null
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\ No newline at end of file
diff --git a/build/faceRecognitionNet/convLayer.d.ts.map b/build/faceRecognitionNet/convLayer.d.ts.map
deleted file mode 100644
index d5239c2..0000000
--- a/build/faceRecognitionNet/convLayer.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/faceRecognitionNet/convLayer.js.map b/build/faceRecognitionNet/convLayer.js.map
deleted file mode 100644
index 676f31e..0000000
--- a/build/faceRecognitionNet/convLayer.js.map
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diff --git a/build/faceRecognitionNet/extractParams.js.map b/build/faceRecognitionNet/extractParams.js.map
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diff --git a/build/faceRecognitionNet/extractParamsFromWeigthMap.d.ts.map b/build/faceRecognitionNet/extractParamsFromWeigthMap.d.ts.map
deleted file mode 100644
index 545ee4d..0000000
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diff --git a/build/faceRecognitionNet/extractParamsFromWeigthMap.js.map b/build/faceRecognitionNet/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index 9c5829b..0000000
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diff --git a/build/faceRecognitionNet/index.d.ts.map b/build/faceRecognitionNet/index.d.ts.map
deleted file mode 100644
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diff --git a/build/faceRecognitionNet/index.js.map b/build/faceRecognitionNet/index.js.map
deleted file mode 100644
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diff --git a/build/faceRecognitionNet/residualLayer.d.ts.map b/build/faceRecognitionNet/residualLayer.d.ts.map
deleted file mode 100644
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diff --git a/build/faceRecognitionNet/residualLayer.js.map b/build/faceRecognitionNet/residualLayer.js.map
deleted file mode 100644
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diff --git a/build/faceRecognitionNet/types.js.map b/build/faceRecognitionNet/types.js.map
deleted file mode 100644
index 08c5615..0000000
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+++ /dev/null
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deleted file mode 100644
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diff --git a/build/factories/WithAge.js.map b/build/factories/WithAge.js.map
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deleted file mode 100644
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diff --git a/build/factories/WithFaceDetection.js.map b/build/factories/WithFaceDetection.js.map
deleted file mode 100644
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diff --git a/build/factories/WithFaceExpressions.d.ts.map b/build/factories/WithFaceExpressions.d.ts.map
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diff --git a/build/factories/WithFaceExpressions.js.map b/build/factories/WithFaceExpressions.js.map
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diff --git a/build/factories/WithFaceLandmarks.js.map b/build/factories/WithFaceLandmarks.js.map
deleted file mode 100644
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deleted file mode 100644
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diff --git a/build/factories/WithGender.js.map b/build/factories/WithGender.js.map
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diff --git a/build/globalApi/ComposableTask.js.map b/build/globalApi/ComposableTask.js.map
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diff --git a/build/globalApi/ComputeFaceDescriptorsTasks.d.ts.map b/build/globalApi/ComputeFaceDescriptorsTasks.d.ts.map
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index 9b78f17..0000000
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diff --git a/build/globalApi/ComputeFaceDescriptorsTasks.js.map b/build/globalApi/ComputeFaceDescriptorsTasks.js.map
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diff --git a/build/globalApi/DetectFaceLandmarksTasks.d.ts.map b/build/globalApi/DetectFaceLandmarksTasks.d.ts.map
deleted file mode 100644
index c9ede3e..0000000
--- a/build/globalApi/DetectFaceLandmarksTasks.d.ts.map
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diff --git a/build/globalApi/DetectFaceLandmarksTasks.js.map b/build/globalApi/DetectFaceLandmarksTasks.js.map
deleted file mode 100644
index a749f82..0000000
--- a/build/globalApi/DetectFaceLandmarksTasks.js.map
+++ /dev/null
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diff --git a/build/globalApi/DetectFacesTasks.d.ts.map b/build/globalApi/DetectFacesTasks.d.ts.map
deleted file mode 100644
index 10a3650..0000000
--- a/build/globalApi/DetectFacesTasks.d.ts.map
+++ /dev/null
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diff --git a/build/globalApi/DetectFacesTasks.js.map b/build/globalApi/DetectFacesTasks.js.map
deleted file mode 100644
index 73f1afe..0000000
--- a/build/globalApi/DetectFacesTasks.js.map
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diff --git a/build/globalApi/FaceMatcher.d.ts.map b/build/globalApi/FaceMatcher.d.ts.map
deleted file mode 100644
index 2b5016e..0000000
--- a/build/globalApi/FaceMatcher.d.ts.map
+++ /dev/null
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diff --git a/build/globalApi/FaceMatcher.js.map b/build/globalApi/FaceMatcher.js.map
deleted file mode 100644
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diff --git a/build/globalApi/PredictAgeAndGenderTask.d.ts.map b/build/globalApi/PredictAgeAndGenderTask.d.ts.map
deleted file mode 100644
index 31f0c53..0000000
--- a/build/globalApi/PredictAgeAndGenderTask.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/globalApi/PredictAgeAndGenderTask.js.map b/build/globalApi/PredictAgeAndGenderTask.js.map
deleted file mode 100644
index e18d85f..0000000
--- a/build/globalApi/PredictAgeAndGenderTask.js.map
+++ /dev/null
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diff --git a/build/globalApi/PredictFaceExpressionsTask.d.ts.map b/build/globalApi/PredictFaceExpressionsTask.d.ts.map
deleted file mode 100644
index b6535ee..0000000
--- a/build/globalApi/PredictFaceExpressionsTask.d.ts.map
+++ /dev/null
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diff --git a/build/globalApi/PredictFaceExpressionsTask.js.map b/build/globalApi/PredictFaceExpressionsTask.js.map
deleted file mode 100644
index eb91708..0000000
--- a/build/globalApi/PredictFaceExpressionsTask.js.map
+++ /dev/null
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diff --git a/build/globalApi/allFaces.d.ts.map b/build/globalApi/allFaces.d.ts.map
deleted file mode 100644
index 537c791..0000000
--- a/build/globalApi/allFaces.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/globalApi/allFaces.js.map b/build/globalApi/allFaces.js.map
deleted file mode 100644
index 9b4b3fc..0000000
--- a/build/globalApi/allFaces.js.map
+++ /dev/null
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diff --git a/build/globalApi/detectFaces.d.ts.map b/build/globalApi/detectFaces.d.ts.map
deleted file mode 100644
index 0e3ef1e..0000000
--- a/build/globalApi/detectFaces.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/globalApi/detectFaces.js.map b/build/globalApi/detectFaces.js.map
deleted file mode 100644
index ebee87d..0000000
--- a/build/globalApi/detectFaces.js.map
+++ /dev/null
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\ No newline at end of file
diff --git a/build/globalApi/extractFacesAndComputeResults.d.ts.map b/build/globalApi/extractFacesAndComputeResults.d.ts.map
deleted file mode 100644
index 2a3a51b..0000000
--- a/build/globalApi/extractFacesAndComputeResults.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/globalApi/extractFacesAndComputeResults.js.map b/build/globalApi/extractFacesAndComputeResults.js.map
deleted file mode 100644
index 533fa02..0000000
--- a/build/globalApi/extractFacesAndComputeResults.js.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/globalApi/index.d.ts.map b/build/globalApi/index.d.ts.map
deleted file mode 100644
index 1afcf07..0000000
--- a/build/globalApi/index.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/globalApi/index.js.map b/build/globalApi/index.js.map
deleted file mode 100644
index 0de97b9..0000000
--- a/build/globalApi/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/globalApi/nets.d.ts.map b/build/globalApi/nets.d.ts.map
deleted file mode 100644
index c3147a4..0000000
--- a/build/globalApi/nets.d.ts.map
+++ /dev/null
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diff --git a/build/globalApi/nets.js.map b/build/globalApi/nets.js.map
deleted file mode 100644
index 30134fb..0000000
--- a/build/globalApi/nets.js.map
+++ /dev/null
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diff --git a/build/globalApi/types.d.ts.map b/build/globalApi/types.d.ts.map
deleted file mode 100644
index 1b8c6a8..0000000
--- a/build/globalApi/types.d.ts.map
+++ /dev/null
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diff --git a/build/index.d.ts.map b/build/index.d.ts.map
deleted file mode 100644
index 2e912b8..0000000
--- a/build/index.d.ts.map
+++ /dev/null
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\ No newline at end of file
diff --git a/build/index.js.map b/build/index.js.map
deleted file mode 100644
index 8a324e2..0000000
--- a/build/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/ops/index.d.ts.map b/build/ops/index.d.ts.map
deleted file mode 100644
index ce19b0e..0000000
--- a/build/ops/index.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/ops/index.js.map b/build/ops/index.js.map
deleted file mode 100644
index e84f6cf..0000000
--- a/build/ops/index.js.map
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diff --git a/build/ops/iou.d.ts.map b/build/ops/iou.d.ts.map
deleted file mode 100644
index 8d513ea..0000000
--- a/build/ops/iou.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/ops/iou.js.map b/build/ops/iou.js.map
deleted file mode 100644
index 216a7dd..0000000
--- a/build/ops/iou.js.map
+++ /dev/null
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\ No newline at end of file
diff --git a/build/ops/minBbox.d.ts.map b/build/ops/minBbox.d.ts.map
deleted file mode 100644
index 0bc2648..0000000
--- a/build/ops/minBbox.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/ops/minBbox.js.map b/build/ops/minBbox.js.map
deleted file mode 100644
index 5ae1a06..0000000
--- a/build/ops/minBbox.js.map
+++ /dev/null
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diff --git a/build/ops/nonMaxSuppression.d.ts.map b/build/ops/nonMaxSuppression.d.ts.map
deleted file mode 100644
index e460001..0000000
--- a/build/ops/nonMaxSuppression.d.ts.map
+++ /dev/null
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diff --git a/build/ops/nonMaxSuppression.js.map b/build/ops/nonMaxSuppression.js.map
deleted file mode 100644
index 24abc7c..0000000
--- a/build/ops/nonMaxSuppression.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"nonMaxSuppression.js","sourceRoot":"","sources":["../../src/ops/nonMaxSuppression.ts"],"names":[],"mappings":"AACA,OAAO,EAAE,GAAG,EAAE,MAAM,OAAO,CAAC;AAE5B,MAAM,UAAU,iBAAiB,CAC/B,KAAY,EACZ,MAAgB,EAChB,YAAoB,EACpB,QAAiB,IAAI;IAGrB,IAAI,oBAAoB,GAAG,MAAM;SAC9B,GAAG,CAAC,CAAC,KAAK,EAAE,QAAQ,EAAE,EAAE,CAAC,CAAC,EAAE,KAAK,EAAE,QAAQ,EAAE,CAAC,CAAC;SAC/C,IAAI,CAAC,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,KAAK,GAAG,EAAE,CAAC,KAAK,CAAC;SACrC,GAAG,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,QAAQ,CAAC,CAAA;IAEvB,MAAM,IAAI,GAAa,EAAE,CAAA;IAEzB,OAAM,oBAAoB,CAAC,MAAM,GAAG,CAAC,EAAE;QACrC,MAAM,IAAI,GAAG,oBAAoB,CAAC,GAAG,EAAY,CAAA;QACjD,IAAI,CAAC,IAAI,CAAC,IAAI,CAAC,CAAA;QAEf,MAAM,OAAO,GAAG,oBAAoB,CAAA;QAEpC,MAAM,OAAO,GAAa,EAAE,CAAA;QAC5B,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,MAAM,EAAE,CAAC,EAAE,EAAE;YACvC,MAAM,GAAG,GAAG,OAAO,CAAC,CAAC,CAAC,CAAA;YAEtB,MAAM,OAAO,GAAG,KAAK,CAAC,IAAI,CAAC,CAAA;YAC3B,MAAM,MAAM,GAAG,KAAK,CAAC,GAAG,CAAC,CAAA;YAEzB,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,OAAO,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,CAAA;SAC1C;QAED,oBAAoB,GAAG,oBAAoB,CAAC,MAAM,CAChD,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,OAAO,CAAC,CAAC,CAAC,IAAI,YAAY,CACrC,CAAA;KACF;IAED,OAAO,IAAI,CAAA;AAEb,CAAC"}
\ No newline at end of file
diff --git a/build/ops/normalize.d.ts.map b/build/ops/normalize.d.ts.map
deleted file mode 100644
index 7da4a40..0000000
--- a/build/ops/normalize.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"normalize.d.ts","sourceRoot":"","sources":["../../src/ops/normalize.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,wBAAgB,SAAS,CAAC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,OAAO,EAAE,MAAM,EAAE,GAAG,EAAE,CAAC,QAAQ,CAUxE"}
\ No newline at end of file
diff --git a/build/ops/normalize.js.map b/build/ops/normalize.js.map
deleted file mode 100644
index a0c8650..0000000
--- a/build/ops/normalize.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"normalize.js","sourceRoot":"","sources":["../../src/ops/normalize.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,MAAM,UAAU,SAAS,CAAC,CAAc,EAAE,OAAiB;IACzD,OAAO,EAAE,CAAC,IAAI,CAAC,GAAG,EAAE;QAClB,MAAM,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,GAAG,OAAO,CAAA;QACzB,MAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,GAAG,CAAC,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QACrD,MAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,GAAG,CAAC,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QACrD,MAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,GAAG,CAAC,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QACrD,MAAM,OAAO,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,KAAK,EAAE,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAA;QAEnD,OAAO,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,OAAO,CAAC,CAAA;IAC3B,CAAC,CAAC,CAAA;AACJ,CAAC"}
\ No newline at end of file
diff --git a/build/ops/padToSquare.d.ts.map b/build/ops/padToSquare.d.ts.map
deleted file mode 100644
index 299a8d0..0000000
--- a/build/ops/padToSquare.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"padToSquare.d.ts","sourceRoot":"","sources":["../../src/ops/padToSquare.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C;;;;;;;GAOG;AACH,wBAAgB,WAAW,CACzB,SAAS,EAAE,EAAE,CAAC,QAAQ,EACtB,aAAa,GAAE,OAAe,GAC7B,EAAE,CAAC,QAAQ,CAkCb"}
\ No newline at end of file
diff --git a/build/ops/padToSquare.js.map b/build/ops/padToSquare.js.map
deleted file mode 100644
index 32b423e..0000000
--- a/build/ops/padToSquare.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"padToSquare.js","sourceRoot":"","sources":["../../src/ops/padToSquare.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C;;;;;;;GAOG;AACH,MAAM,UAAU,WAAW,CACzB,SAAsB,EACtB,gBAAyB,KAAK;IAE9B,OAAO,EAAE,CAAC,IAAI,CAAC,GAAG,EAAE;QAElB,MAAM,CAAC,MAAM,EAAE,KAAK,CAAC,GAAG,SAAS,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;QAChD,IAAI,MAAM,KAAK,KAAK,EAAE;YACpB,OAAO,SAAS,CAAA;SACjB;QAED,MAAM,OAAO,GAAG,IAAI,CAAC,GAAG,CAAC,MAAM,GAAG,KAAK,CAAC,CAAA;QACxC,MAAM,aAAa,GAAG,IAAI,CAAC,KAAK,CAAC,OAAO,GAAG,CAAC,aAAa,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;QACrE,MAAM,WAAW,GAAG,MAAM,GAAG,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;QAE1C,MAAM,mBAAmB,GAAG,CAAC,aAAqB,EAAa,EAAE;YAC/D,MAAM,kBAAkB,GAAG,SAAS,CAAC,KAAK,CAAC,KAAK,EAAE,CAAA;YAClD,kBAAkB,CAAC,WAAW,CAAC,GAAG,aAAa,CAAA;YAC/C,OAAO,EAAE,CAAC,IAAI,CAAC,kBAAkB,EAAE,CAAC,CAAC,CAAA;QACvC,CAAC,CAAA;QAED,MAAM,mBAAmB,GAAG,mBAAmB,CAAC,aAAa,CAAC,CAAA;QAC9D,MAAM,sBAAsB,GAAG,OAAO,GAAI,mBAAmB,CAAC,KAAK,CAAC,WAAW,CAAY,CAAA;QAE3F,MAAM,oBAAoB,GAAG,aAAa,IAAI,sBAAsB;YAClE,CAAC,CAAC,mBAAmB,CAAC,sBAAsB,CAAC;YAC7C,CAAC,CAAC,IAAI,CAAA;QAER,MAAM,cAAc,GAAG;YACrB,oBAAoB;YACpB,SAAS;YACT,mBAAmB;SACpB;aACE,MAAM,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC;aAChB,GAAG,CAAC,CAAC,CAAY,EAAE,EAAE,CAAC,CAAC,CAAC,OAAO,EAAE,CAAkB,CAAA;QACtD,OAAO,EAAE,CAAC,MAAM,CAAC,cAAc,EAAE,WAAW,CAAC,CAAA;IAC/C,CAAC,CAAC,CAAA;AACJ,CAAC"}
\ No newline at end of file
diff --git a/build/ops/shuffleArray.d.ts.map b/build/ops/shuffleArray.d.ts.map
deleted file mode 100644
index 8ca3a83..0000000
--- a/build/ops/shuffleArray.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"shuffleArray.d.ts","sourceRoot":"","sources":["../../src/ops/shuffleArray.ts"],"names":[],"mappings":"AAAA,wBAAgB,YAAY,CAAC,UAAU,EAAE,GAAG,EAAE,SAS7C"}
\ No newline at end of file
diff --git a/build/ops/shuffleArray.js.map b/build/ops/shuffleArray.js.map
deleted file mode 100644
index 5a50a75..0000000
--- a/build/ops/shuffleArray.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"shuffleArray.js","sourceRoot":"","sources":["../../src/ops/shuffleArray.ts"],"names":[],"mappings":"AAAA,MAAM,UAAU,YAAY,CAAC,UAAiB;IAC5C,MAAM,KAAK,GAAG,UAAU,CAAC,KAAK,EAAE,CAAA;IAChC,KAAK,IAAI,CAAC,GAAG,KAAK,CAAC,MAAM,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,EAAE,EAAE;QACvC,MAAM,CAAC,GAAG,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,MAAM,EAAE,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAA;QAC7C,MAAM,CAAC,GAAG,KAAK,CAAC,CAAC,CAAC,CAAA;QAClB,KAAK,CAAC,CAAC,CAAC,GAAG,KAAK,CAAC,CAAC,CAAC,CAAA;QACnB,KAAK,CAAC,CAAC,CAAC,GAAG,CAAC,CAAA;KACf;IACD,OAAO,KAAK,CAAA;AACd,CAAC"}
\ No newline at end of file
diff --git a/build/package.json b/build/package.json
new file mode 100644
index 0000000..8cccdc2
--- /dev/null
+++ b/build/package.json
@@ -0,0 +1,55 @@
+{
+    "name": "@vladmandic/face-api",
+    "version": "0.4.5",
+    "description": "JavaScript module for Face Detection and Face Recognition Using Tensorflow/JS",
+    "main": "dist/face-api.cjs",
+    "module": "dist/face-api.ejs",
+    "browser": "dist/face-api.js",
+    "jsdelivr": "dist/face-api.js",
+    "unpkg": "dist/face-api.js",
+    "typings": "./build/src/index.d.ts",
+    "engines": {
+        "node": ">=12.0.0"
+    },
+    "type": "module",
+    "scripts": {
+        "compile": "tsc",
+        "cjs": "esbuild --bundle --outfile=./dist/face-api.cjs --target=es2017 --platform=node --format=cjs --sourcemap --log-level=error --tsconfig=./tsconfig.json build/src/index.js",
+        "esm": "esbuild --bundle --outfile=./dist/face-api.ejs --target=es2017 --platform=browser --format=esm --sourcemap --log-level=error --tsconfig=./tsconfig.json build/src/index.js",
+        "iife": "esbuild --bundle --outfile=./dist/face-api.js --target=es2017 --platform=browser --format=iife --global-name=faceapi --sourcemap --log-level=error --tsconfig=./tsconfig.json build/src/index.js",
+        "minify": "esbuild --bundle --outfile=./dist/face-api.min.js --target=es2017 --platform=browser --format=iife --sourcemap --global-name=faceapi --log-level=error --minify --tsconfig=./tsconfig.json build/src/index.js",
+        "build": "npm run compile && npm run cjs && npm run esm && npm run iife && npm run minify"
+    },
+    "keywords": [
+        "tensorflow",
+        "tf",
+        "tfjs",
+        "face",
+        "face-api",
+        "face-detection",
+        "age-gender"
+    ],
+    "repository": {
+        "type": "git",
+        "url": "git+https://github.com/vladmandic/face-api.git"
+    },
+    "publishConfig": {
+        "registry": "https://registry.npmjs.org/"
+    },
+    "author": "Vladimir Mandic <mandic00@live.com>",
+    "license": "MIT",
+    "bugs": {
+        "url": "https://github.com/vladmandic/face-api/issues"
+    },
+    "homepage": "https://github.com/vladmandic/face-api#readme",
+    "dependencies": {
+        "@tensorflow/tfjs": "^2.3.0"
+    },
+    "devDependencies": {
+        "@types/node": "^14.6.0",
+        "esbuild": "^0.6.27",
+        "ts-node": "^9.0.0",
+        "tslib": "^2.0.1",
+        "typescript": "^4.1.0-dev.20200822"
+    }
+}
diff --git a/build/resizeResults.d.ts.map b/build/resizeResults.d.ts.map
deleted file mode 100644
index 64ef8be..0000000
--- a/build/resizeResults.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"resizeResults.d.ts","sourceRoot":"","sources":["../src/resizeResults.ts"],"names":[],"mappings":"AAAA,OAAO,EAAc,WAAW,EAAE,MAAM,WAAW,CAAC;AAMpD,wBAAgB,aAAa,CAAC,CAAC,EAAE,OAAO,EAAE,CAAC,EAAE,UAAU,EAAE,WAAW,GAAG,CAAC,CA4BvE"}
\ No newline at end of file
diff --git a/build/resizeResults.js.map b/build/resizeResults.js.map
deleted file mode 100644
index 4278f2d..0000000
--- a/build/resizeResults.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"resizeResults.js","sourceRoot":"","sources":["../src/resizeResults.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,UAAU,EAAe,MAAM,WAAW,CAAC;AACpD,OAAO,EAAE,aAAa,EAAE,MAAM,yBAAyB,CAAC;AACxD,OAAO,EAAE,aAAa,EAAE,MAAM,yBAAyB,CAAC;AACxD,OAAO,EAAE,uBAAuB,EAAE,mBAAmB,EAAE,MAAM,+BAA+B,CAAC;AAC7F,OAAO,EAAE,uBAAuB,EAAE,mBAAmB,EAAE,MAAM,+BAA+B,CAAC;AAE7F,MAAM,UAAU,aAAa,CAAI,OAAU,EAAE,UAAuB;IAElE,MAAM,EAAE,KAAK,EAAE,MAAM,EAAE,GAAG,IAAI,UAAU,CAAC,UAAU,CAAC,KAAK,EAAE,UAAU,CAAC,MAAM,CAAC,CAAA;IAE7E,IAAI,KAAK,IAAI,CAAC,IAAI,MAAM,IAAI,CAAC,EAAE;QAC7B,MAAM,IAAI,KAAK,CAAC,uCAAuC,IAAI,CAAC,SAAS,CAAC,EAAE,KAAK,EAAE,MAAM,EAAE,CAAC,EAAE,CAAC,CAAA;KAC5F;IAED,IAAI,KAAK,CAAC,OAAO,CAAC,OAAO,CAAC,EAAE;QAC1B,OAAO,OAAO,CAAC,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,aAAa,CAAC,GAAG,EAAE,EAAE,KAAK,EAAE,MAAM,EAAE,CAAC,CAAa,CAAA;KAC7E;IAED,IAAI,mBAAmB,CAAC,OAAO,CAAC,EAAE;QAChC,MAAM,gBAAgB,GAAG,OAAO,CAAC,SAAS,CAAC,OAAO,CAAC,KAAK,EAAE,MAAM,CAAC,CAAA;QACjE,MAAM,gBAAgB,GAAG,OAAO,CAAC,kBAAkB,CAAC,OAAO,CAAC,gBAAgB,CAAC,GAAG,CAAC,KAAK,EAAE,gBAAgB,CAAC,GAAG,CAAC,MAAM,CAAC,CAAA;QAEpH,OAAO,uBAAuB,CAAC,uBAAuB,CAAC,OAAO,EAAE,gBAAgB,CAAC,EAAE,gBAAgB,CAAC,CAAA;KACrG;IAED,IAAI,mBAAmB,CAAC,OAAO,CAAC,EAAE;QAChC,OAAO,uBAAuB,CAAC,OAAO,EAAE,OAAO,CAAC,SAAS,CAAC,OAAO,CAAC,KAAK,EAAE,MAAM,CAAC,CAAC,CAAA;KAClF;IAED,IAAI,OAAO,YAAY,aAAa,IAAI,OAAO,YAAY,aAAa,EAAE;QACxE,OAAQ,OAAe,CAAC,OAAO,CAAC,KAAK,EAAE,MAAM,CAAC,CAAA;KAC/C;IAED,OAAO,OAAO,CAAA;AAChB,CAAC"}
\ No newline at end of file
diff --git a/build/NeuralNetwork.d.ts b/build/src/NeuralNetwork.d.ts
similarity index 100%
rename from build/NeuralNetwork.d.ts
rename to build/src/NeuralNetwork.d.ts
diff --git a/build/src/NeuralNetwork.d.ts.map b/build/src/NeuralNetwork.d.ts.map
new file mode 100644
index 0000000..da8372a
--- /dev/null
+++ b/build/src/NeuralNetwork.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"NeuralNetwork.d.ts","sourceRoot":"","sources":["../../src/NeuralNetwork.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,YAAY,EAAE,MAAM,UAAU,CAAC;AAKxC,8BAAsB,aAAa,CAAC,UAAU;IAKhC,SAAS,CAAC,KAAK,EAAE,MAAM;IAHnC,SAAS,CAAC,OAAO,EAAE,UAAU,GAAG,SAAS,CAAY;IACrD,SAAS,CAAC,cAAc,EAAE,YAAY,EAAE,CAAK;gBAEvB,KAAK,EAAE,MAAM;IASnC,IAAW,MAAM,IAAI,UAAU,GAAG,SAAS,CAAwB;IACnE,IAAW,aAAa,IAAI,YAAY,EAAE,CAA+B;IACzE,IAAW,QAAQ,IAAI,OAAO,CAAyB;IAEhD,gBAAgB,CAAC,SAAS,EAAE,MAAM,GAAG,EAAE,CAAC,MAAM;IAK9C,qBAAqB,CAAC,SAAS,EAAE,MAAM,EAAE,MAAM,EAAE,EAAE,CAAC,MAAM;IAM1D,YAAY;;;;IAOZ,kBAAkB;;;;IAIlB,eAAe;;;;IAIf,QAAQ;IAMR,MAAM;IAQN,OAAO,CAAC,gBAAgB,GAAE,OAAc;IAUxC,eAAe,IAAI,YAAY;IAQzB,IAAI,CAAC,YAAY,EAAE,YAAY,GAAG,MAAM,GAAG,SAAS,GAAG,OAAO,CAAC,IAAI,CAAC;IASpE,WAAW,CAAC,GAAG,EAAE,MAAM,GAAG,SAAS;IASnC,YAAY,CAAC,QAAQ,EAAE,MAAM,GAAG,SAAS;IAoB/C,iBAAiB,CAAC,SAAS,EAAE,EAAE,CAAC,cAAc;IAU9C,cAAc,CAAC,OAAO,EAAE,YAAY;IAU3C,OAAO,CAAC,oBAAoB;IAqB5B,SAAS,CAAC,QAAQ,CAAC,mBAAmB,IAAI,MAAM;IAChD,SAAS,CAAC,QAAQ,CAAC,0BAA0B,CAAC,SAAS,EAAE,EAAE,CAAC,cAAc,GAAG;QAAE,MAAM,EAAE,UAAU,CAAC;QAAC,aAAa,EAAE,YAAY,EAAE,CAAA;KAAE;IAClI,SAAS,CAAC,QAAQ,CAAC,aAAa,CAAC,OAAO,EAAE,YAAY,GAAG;QAAE,MAAM,EAAE,UAAU,CAAC;QAAC,aAAa,EAAE,YAAY,EAAE,CAAA;KAAE;CAC/G"}
\ No newline at end of file
diff --git a/build/NeuralNetwork.js b/build/src/NeuralNetwork.js
similarity index 93%
rename from build/NeuralNetwork.js
rename to build/src/NeuralNetwork.js
index 9fe968e..740cd39 100644
--- a/build/NeuralNetwork.js
+++ b/build/src/NeuralNetwork.js
@@ -7,6 +7,13 @@ export class NeuralNetwork {
         this._name = _name;
         this._params = undefined;
         this._paramMappings = [];
+        try {
+            const testTensor = tf.tensor([0]);
+            testTensor.toFloat();
+        }
+        catch (err) {
+            throw new Error(`module not loaded: load '@tensorflow/tfjs' or '@tensorflow/tfjs-core' with appropriate backend explicitly: ${err}`);
+        }
     }
     get params() { return this._params; }
     get paramMappings() { return this._paramMappings; }
diff --git a/build/src/NeuralNetwork.js.map b/build/src/NeuralNetwork.js.map
new file mode 100644
index 0000000..3b26462
--- /dev/null
+++ b/build/src/NeuralNetwork.js.map
@@ -0,0 +1 @@
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diff --git a/build/ageGenderNet/AgeGenderNet.d.ts b/build/src/ageGenderNet/AgeGenderNet.d.ts
similarity index 100%
rename from build/ageGenderNet/AgeGenderNet.d.ts
rename to build/src/ageGenderNet/AgeGenderNet.d.ts
diff --git a/build/src/ageGenderNet/AgeGenderNet.d.ts.map b/build/src/ageGenderNet/AgeGenderNet.d.ts.map
new file mode 100644
index 0000000..6a4e697
--- /dev/null
+++ b/build/src/ageGenderNet/AgeGenderNet.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/ageGenderNet/AgeGenderNet.js b/build/src/ageGenderNet/AgeGenderNet.js
similarity index 100%
rename from build/ageGenderNet/AgeGenderNet.js
rename to build/src/ageGenderNet/AgeGenderNet.js
diff --git a/build/src/ageGenderNet/AgeGenderNet.js.map b/build/src/ageGenderNet/AgeGenderNet.js.map
new file mode 100644
index 0000000..83c3ef7
--- /dev/null
+++ b/build/src/ageGenderNet/AgeGenderNet.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ageGenderNet/extractParams.d.ts b/build/src/ageGenderNet/extractParams.d.ts
similarity index 100%
rename from build/ageGenderNet/extractParams.d.ts
rename to build/src/ageGenderNet/extractParams.d.ts
diff --git a/build/src/ageGenderNet/extractParams.d.ts.map b/build/src/ageGenderNet/extractParams.d.ts.map
new file mode 100644
index 0000000..7fcb398
--- /dev/null
+++ b/build/src/ageGenderNet/extractParams.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ageGenderNet/extractParams.js b/build/src/ageGenderNet/extractParams.js
similarity index 100%
rename from build/ageGenderNet/extractParams.js
rename to build/src/ageGenderNet/extractParams.js
diff --git a/build/src/ageGenderNet/extractParams.js.map b/build/src/ageGenderNet/extractParams.js.map
new file mode 100644
index 0000000..17c6c1e
--- /dev/null
+++ b/build/src/ageGenderNet/extractParams.js.map
@@ -0,0 +1 @@
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diff --git a/build/ageGenderNet/extractParamsFromWeigthMap.d.ts b/build/src/ageGenderNet/extractParamsFromWeigthMap.d.ts
similarity index 100%
rename from build/ageGenderNet/extractParamsFromWeigthMap.d.ts
rename to build/src/ageGenderNet/extractParamsFromWeigthMap.d.ts
diff --git a/build/src/ageGenderNet/extractParamsFromWeigthMap.d.ts.map b/build/src/ageGenderNet/extractParamsFromWeigthMap.d.ts.map
new file mode 100644
index 0000000..522e13b
--- /dev/null
+++ b/build/src/ageGenderNet/extractParamsFromWeigthMap.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/ageGenderNet/extractParamsFromWeigthMap.js b/build/src/ageGenderNet/extractParamsFromWeigthMap.js
similarity index 100%
rename from build/ageGenderNet/extractParamsFromWeigthMap.js
rename to build/src/ageGenderNet/extractParamsFromWeigthMap.js
diff --git a/build/src/ageGenderNet/extractParamsFromWeigthMap.js.map b/build/src/ageGenderNet/extractParamsFromWeigthMap.js.map
new file mode 100644
index 0000000..226ad4a
--- /dev/null
+++ b/build/src/ageGenderNet/extractParamsFromWeigthMap.js.map
@@ -0,0 +1 @@
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diff --git a/build/ageGenderNet/index.d.ts b/build/src/ageGenderNet/index.d.ts
similarity index 100%
rename from build/ageGenderNet/index.d.ts
rename to build/src/ageGenderNet/index.d.ts
diff --git a/build/src/ageGenderNet/index.d.ts.map b/build/src/ageGenderNet/index.d.ts.map
new file mode 100644
index 0000000..3c5d3d7
--- /dev/null
+++ b/build/src/ageGenderNet/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ageGenderNet/index.js b/build/src/ageGenderNet/index.js
similarity index 100%
rename from build/ageGenderNet/index.js
rename to build/src/ageGenderNet/index.js
diff --git a/build/src/ageGenderNet/index.js.map b/build/src/ageGenderNet/index.js.map
new file mode 100644
index 0000000..89040d9
--- /dev/null
+++ b/build/src/ageGenderNet/index.js.map
@@ -0,0 +1 @@
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diff --git a/build/ageGenderNet/types.d.ts b/build/src/ageGenderNet/types.d.ts
similarity index 100%
rename from build/ageGenderNet/types.d.ts
rename to build/src/ageGenderNet/types.d.ts
diff --git a/build/src/ageGenderNet/types.d.ts.map b/build/src/ageGenderNet/types.d.ts.map
new file mode 100644
index 0000000..10bcec8
--- /dev/null
+++ b/build/src/ageGenderNet/types.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/ageGenderNet/types.js b/build/src/ageGenderNet/types.js
similarity index 100%
rename from build/ageGenderNet/types.js
rename to build/src/ageGenderNet/types.js
diff --git a/build/src/ageGenderNet/types.js.map b/build/src/ageGenderNet/types.js.map
new file mode 100644
index 0000000..28b1c32
--- /dev/null
+++ b/build/src/ageGenderNet/types.js.map
@@ -0,0 +1 @@
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diff --git a/build/classes/BoundingBox.d.ts b/build/src/classes/BoundingBox.d.ts
similarity index 100%
rename from build/classes/BoundingBox.d.ts
rename to build/src/classes/BoundingBox.d.ts
diff --git a/build/src/classes/BoundingBox.d.ts.map b/build/src/classes/BoundingBox.d.ts.map
new file mode 100644
index 0000000..31ce29c
--- /dev/null
+++ b/build/src/classes/BoundingBox.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/classes/BoundingBox.js b/build/src/classes/BoundingBox.js
similarity index 100%
rename from build/classes/BoundingBox.js
rename to build/src/classes/BoundingBox.js
diff --git a/build/src/classes/BoundingBox.js.map b/build/src/classes/BoundingBox.js.map
new file mode 100644
index 0000000..b975386
--- /dev/null
+++ b/build/src/classes/BoundingBox.js.map
@@ -0,0 +1 @@
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diff --git a/build/classes/Box.d.ts b/build/src/classes/Box.d.ts
similarity index 100%
rename from build/classes/Box.d.ts
rename to build/src/classes/Box.d.ts
diff --git a/build/src/classes/Box.d.ts.map b/build/src/classes/Box.d.ts.map
new file mode 100644
index 0000000..781f518
--- /dev/null
+++ b/build/src/classes/Box.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/Box.js b/build/src/classes/Box.js
similarity index 100%
rename from build/classes/Box.js
rename to build/src/classes/Box.js
diff --git a/build/src/classes/Box.js.map b/build/src/classes/Box.js.map
new file mode 100644
index 0000000..e8357b0
--- /dev/null
+++ b/build/src/classes/Box.js.map
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\ No newline at end of file
diff --git a/build/classes/Dimensions.d.ts b/build/src/classes/Dimensions.d.ts
similarity index 100%
rename from build/classes/Dimensions.d.ts
rename to build/src/classes/Dimensions.d.ts
diff --git a/build/src/classes/Dimensions.d.ts.map b/build/src/classes/Dimensions.d.ts.map
new file mode 100644
index 0000000..fdf25c1
--- /dev/null
+++ b/build/src/classes/Dimensions.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/Dimensions.js b/build/src/classes/Dimensions.js
similarity index 100%
rename from build/classes/Dimensions.js
rename to build/src/classes/Dimensions.js
diff --git a/build/src/classes/Dimensions.js.map b/build/src/classes/Dimensions.js.map
new file mode 100644
index 0000000..4391a32
--- /dev/null
+++ b/build/src/classes/Dimensions.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/FaceDetection.d.ts b/build/src/classes/FaceDetection.d.ts
similarity index 100%
rename from build/classes/FaceDetection.d.ts
rename to build/src/classes/FaceDetection.d.ts
diff --git a/build/src/classes/FaceDetection.d.ts.map b/build/src/classes/FaceDetection.d.ts.map
new file mode 100644
index 0000000..6fb2aa7
--- /dev/null
+++ b/build/src/classes/FaceDetection.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/FaceDetection.js b/build/src/classes/FaceDetection.js
similarity index 100%
rename from build/classes/FaceDetection.js
rename to build/src/classes/FaceDetection.js
diff --git a/build/src/classes/FaceDetection.js.map b/build/src/classes/FaceDetection.js.map
new file mode 100644
index 0000000..efc40c9
--- /dev/null
+++ b/build/src/classes/FaceDetection.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/FaceLandmarks.d.ts b/build/src/classes/FaceLandmarks.d.ts
similarity index 100%
rename from build/classes/FaceLandmarks.d.ts
rename to build/src/classes/FaceLandmarks.d.ts
diff --git a/build/src/classes/FaceLandmarks.d.ts.map b/build/src/classes/FaceLandmarks.d.ts.map
new file mode 100644
index 0000000..19f9d89
--- /dev/null
+++ b/build/src/classes/FaceLandmarks.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/FaceLandmarks.js b/build/src/classes/FaceLandmarks.js
similarity index 100%
rename from build/classes/FaceLandmarks.js
rename to build/src/classes/FaceLandmarks.js
diff --git a/build/src/classes/FaceLandmarks.js.map b/build/src/classes/FaceLandmarks.js.map
new file mode 100644
index 0000000..5433350
--- /dev/null
+++ b/build/src/classes/FaceLandmarks.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/FaceLandmarks5.d.ts b/build/src/classes/FaceLandmarks5.d.ts
similarity index 100%
rename from build/classes/FaceLandmarks5.d.ts
rename to build/src/classes/FaceLandmarks5.d.ts
diff --git a/build/src/classes/FaceLandmarks5.d.ts.map b/build/src/classes/FaceLandmarks5.d.ts.map
new file mode 100644
index 0000000..9b39e24
--- /dev/null
+++ b/build/src/classes/FaceLandmarks5.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/FaceLandmarks5.js b/build/src/classes/FaceLandmarks5.js
similarity index 100%
rename from build/classes/FaceLandmarks5.js
rename to build/src/classes/FaceLandmarks5.js
diff --git a/build/src/classes/FaceLandmarks5.js.map b/build/src/classes/FaceLandmarks5.js.map
new file mode 100644
index 0000000..8975d93
--- /dev/null
+++ b/build/src/classes/FaceLandmarks5.js.map
@@ -0,0 +1 @@
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diff --git a/build/classes/FaceLandmarks68.d.ts b/build/src/classes/FaceLandmarks68.d.ts
similarity index 100%
rename from build/classes/FaceLandmarks68.d.ts
rename to build/src/classes/FaceLandmarks68.d.ts
diff --git a/build/src/classes/FaceLandmarks68.d.ts.map b/build/src/classes/FaceLandmarks68.d.ts.map
new file mode 100644
index 0000000..f8147ec
--- /dev/null
+++ b/build/src/classes/FaceLandmarks68.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/FaceLandmarks68.js b/build/src/classes/FaceLandmarks68.js
similarity index 100%
rename from build/classes/FaceLandmarks68.js
rename to build/src/classes/FaceLandmarks68.js
diff --git a/build/src/classes/FaceLandmarks68.js.map b/build/src/classes/FaceLandmarks68.js.map
new file mode 100644
index 0000000..f2bc3dc
--- /dev/null
+++ b/build/src/classes/FaceLandmarks68.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/FaceMatch.d.ts b/build/src/classes/FaceMatch.d.ts
similarity index 100%
rename from build/classes/FaceMatch.d.ts
rename to build/src/classes/FaceMatch.d.ts
diff --git a/build/src/classes/FaceMatch.d.ts.map b/build/src/classes/FaceMatch.d.ts.map
new file mode 100644
index 0000000..4e0dcda
--- /dev/null
+++ b/build/src/classes/FaceMatch.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/FaceMatch.js b/build/src/classes/FaceMatch.js
similarity index 100%
rename from build/classes/FaceMatch.js
rename to build/src/classes/FaceMatch.js
diff --git a/build/src/classes/FaceMatch.js.map b/build/src/classes/FaceMatch.js.map
new file mode 100644
index 0000000..1b4ec66
--- /dev/null
+++ b/build/src/classes/FaceMatch.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/LabeledBox.d.ts b/build/src/classes/LabeledBox.d.ts
similarity index 100%
rename from build/classes/LabeledBox.d.ts
rename to build/src/classes/LabeledBox.d.ts
diff --git a/build/src/classes/LabeledBox.d.ts.map b/build/src/classes/LabeledBox.d.ts.map
new file mode 100644
index 0000000..311ca6c
--- /dev/null
+++ b/build/src/classes/LabeledBox.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/LabeledBox.js b/build/src/classes/LabeledBox.js
similarity index 100%
rename from build/classes/LabeledBox.js
rename to build/src/classes/LabeledBox.js
diff --git a/build/src/classes/LabeledBox.js.map b/build/src/classes/LabeledBox.js.map
new file mode 100644
index 0000000..1471dba
--- /dev/null
+++ b/build/src/classes/LabeledBox.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/LabeledFaceDescriptors.d.ts b/build/src/classes/LabeledFaceDescriptors.d.ts
similarity index 100%
rename from build/classes/LabeledFaceDescriptors.d.ts
rename to build/src/classes/LabeledFaceDescriptors.d.ts
diff --git a/build/src/classes/LabeledFaceDescriptors.d.ts.map b/build/src/classes/LabeledFaceDescriptors.d.ts.map
new file mode 100644
index 0000000..e3857f0
--- /dev/null
+++ b/build/src/classes/LabeledFaceDescriptors.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"LabeledFaceDescriptors.d.ts","sourceRoot":"","sources":["../../../src/classes/LabeledFaceDescriptors.ts"],"names":[],"mappings":"AAAA,qBAAa,sBAAsB;IACjC,OAAO,CAAC,MAAM,CAAQ;IACtB,OAAO,CAAC,YAAY,CAAgB;gBAExB,KAAK,EAAE,MAAM,EAAE,WAAW,EAAE,YAAY,EAAE;IAatD,IAAW,KAAK,IAAI,MAAM,CAAuB;IACjD,IAAW,WAAW,IAAI,YAAY,EAAE,CAA6B;IAE9D,MAAM,IAAI,GAAG;WAON,QAAQ,CAAC,IAAI,EAAE,GAAG,GAAG,sBAAsB;CAO1D"}
\ No newline at end of file
diff --git a/build/classes/LabeledFaceDescriptors.js b/build/src/classes/LabeledFaceDescriptors.js
similarity index 100%
rename from build/classes/LabeledFaceDescriptors.js
rename to build/src/classes/LabeledFaceDescriptors.js
diff --git a/build/src/classes/LabeledFaceDescriptors.js.map b/build/src/classes/LabeledFaceDescriptors.js.map
new file mode 100644
index 0000000..a0a6cb0
--- /dev/null
+++ b/build/src/classes/LabeledFaceDescriptors.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"LabeledFaceDescriptors.js","sourceRoot":"","sources":["../../../src/classes/LabeledFaceDescriptors.ts"],"names":[],"mappings":"AAAA,MAAM,OAAO,sBAAsB;IAIjC,YAAY,KAAa,EAAE,WAA2B;QACpD,IAAI,CAAC,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,EAAE;YAChC,MAAM,IAAI,KAAK,CAAC,oEAAoE,CAAC,CAAA;SACtF;QAED,IAAI,CAAC,KAAK,CAAC,OAAO,CAAC,WAAW,CAAC,IAAI,WAAW,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAC,IAAI,YAAY,YAAY,CAAC,CAAC,EAAE;YAC5F,MAAM,IAAI,KAAK,CAAC,0FAA0F,CAAC,CAAA;SAC5G;QAED,IAAI,CAAC,MAAM,GAAG,KAAK,CAAA;QACnB,IAAI,CAAC,YAAY,GAAG,WAAW,CAAA;IACjC,CAAC;IAED,IAAW,KAAK,KAAa,OAAO,IAAI,CAAC,MAAM,CAAA,CAAC,CAAC;IACjD,IAAW,WAAW,KAAqB,OAAO,IAAI,CAAC,YAAY,CAAA,CAAC,CAAC;IAE9D,MAAM;QACX,OAAO;YACL,KAAK,EAAE,IAAI,CAAC,KAAK;YACjB,WAAW,EAAE,IAAI,CAAC,WAAW,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC;SACxD,CAAC;IACJ,CAAC;IAEM,MAAM,CAAC,QAAQ,CAAC,IAAS;QAC9B,MAAM,WAAW,GAAG,IAAI,CAAC,WAAW,CAAC,GAAG,CAAC,CAAC,CAAM,EAAE,EAAE;YAClD,OAAO,IAAI,YAAY,CAAC,CAAC,CAAC,CAAC;QAC7B,CAAC,CAAC,CAAC;QACH,OAAO,IAAI,sBAAsB,CAAC,IAAI,CAAC,KAAK,EAAE,WAAW,CAAC,CAAC;IAC7D,CAAC;CAEF"}
\ No newline at end of file
diff --git a/build/classes/ObjectDetection.d.ts b/build/src/classes/ObjectDetection.d.ts
similarity index 100%
rename from build/classes/ObjectDetection.d.ts
rename to build/src/classes/ObjectDetection.d.ts
diff --git a/build/src/classes/ObjectDetection.d.ts.map b/build/src/classes/ObjectDetection.d.ts.map
new file mode 100644
index 0000000..583eafd
--- /dev/null
+++ b/build/src/classes/ObjectDetection.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/classes/ObjectDetection.js b/build/src/classes/ObjectDetection.js
similarity index 100%
rename from build/classes/ObjectDetection.js
rename to build/src/classes/ObjectDetection.js
diff --git a/build/src/classes/ObjectDetection.js.map b/build/src/classes/ObjectDetection.js.map
new file mode 100644
index 0000000..e0b95a9
--- /dev/null
+++ b/build/src/classes/ObjectDetection.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/Point.d.ts b/build/src/classes/Point.d.ts
similarity index 100%
rename from build/classes/Point.d.ts
rename to build/src/classes/Point.d.ts
diff --git a/build/src/classes/Point.d.ts.map b/build/src/classes/Point.d.ts.map
new file mode 100644
index 0000000..c617763
--- /dev/null
+++ b/build/src/classes/Point.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/Point.js b/build/src/classes/Point.js
similarity index 100%
rename from build/classes/Point.js
rename to build/src/classes/Point.js
diff --git a/build/src/classes/Point.js.map b/build/src/classes/Point.js.map
new file mode 100644
index 0000000..a8e3925
--- /dev/null
+++ b/build/src/classes/Point.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/PredictedBox.d.ts b/build/src/classes/PredictedBox.d.ts
similarity index 100%
rename from build/classes/PredictedBox.d.ts
rename to build/src/classes/PredictedBox.d.ts
diff --git a/build/src/classes/PredictedBox.d.ts.map b/build/src/classes/PredictedBox.d.ts.map
new file mode 100644
index 0000000..f937d26
--- /dev/null
+++ b/build/src/classes/PredictedBox.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/PredictedBox.js b/build/src/classes/PredictedBox.js
similarity index 100%
rename from build/classes/PredictedBox.js
rename to build/src/classes/PredictedBox.js
diff --git a/build/src/classes/PredictedBox.js.map b/build/src/classes/PredictedBox.js.map
new file mode 100644
index 0000000..eaa4f40
--- /dev/null
+++ b/build/src/classes/PredictedBox.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/Rect.d.ts b/build/src/classes/Rect.d.ts
similarity index 100%
rename from build/classes/Rect.d.ts
rename to build/src/classes/Rect.d.ts
diff --git a/build/src/classes/Rect.d.ts.map b/build/src/classes/Rect.d.ts.map
new file mode 100644
index 0000000..5a7c202
--- /dev/null
+++ b/build/src/classes/Rect.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/Rect.js b/build/src/classes/Rect.js
similarity index 100%
rename from build/classes/Rect.js
rename to build/src/classes/Rect.js
diff --git a/build/src/classes/Rect.js.map b/build/src/classes/Rect.js.map
new file mode 100644
index 0000000..517bc0c
--- /dev/null
+++ b/build/src/classes/Rect.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/index.d.ts b/build/src/classes/index.d.ts
similarity index 100%
rename from build/classes/index.d.ts
rename to build/src/classes/index.d.ts
diff --git a/build/src/classes/index.d.ts.map b/build/src/classes/index.d.ts.map
new file mode 100644
index 0000000..ffff070
--- /dev/null
+++ b/build/src/classes/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/classes/index.js b/build/src/classes/index.js
similarity index 100%
rename from build/classes/index.js
rename to build/src/classes/index.js
diff --git a/build/src/classes/index.js.map b/build/src/classes/index.js.map
new file mode 100644
index 0000000..e9b2c23
--- /dev/null
+++ b/build/src/classes/index.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/common/convLayer.d.ts b/build/src/common/convLayer.d.ts
similarity index 100%
rename from build/common/convLayer.d.ts
rename to build/src/common/convLayer.d.ts
diff --git a/build/src/common/convLayer.d.ts.map b/build/src/common/convLayer.d.ts.map
new file mode 100644
index 0000000..f91411f
--- /dev/null
+++ b/build/src/common/convLayer.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/common/convLayer.js b/build/src/common/convLayer.js
similarity index 100%
rename from build/common/convLayer.js
rename to build/src/common/convLayer.js
diff --git a/build/src/common/convLayer.js.map b/build/src/common/convLayer.js.map
new file mode 100644
index 0000000..81cc539
--- /dev/null
+++ b/build/src/common/convLayer.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"convLayer.js","sourceRoot":"","sources":["../../../src/common/convLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAI5C,MAAM,UAAU,SAAS,CACvB,CAAc,EACd,MAAkB,EAClB,UAA4B,MAAM,EAClC,WAAoB,KAAK;IAEzB,OAAO,EAAE,CAAC,IAAI,CAAC,GAAG,EAAE;QAClB,MAAM,GAAG,GAAG,EAAE,CAAC,GAAG,CAChB,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,EAC7C,MAAM,CAAC,IAAI,CACG,CAAA;QAEhB,OAAO,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,GAAG,CAAA;IACtC,CAAC,CAAC,CAAA;AACJ,CAAC"}
\ No newline at end of file
diff --git a/build/common/depthwiseSeparableConv.d.ts b/build/src/common/depthwiseSeparableConv.d.ts
similarity index 100%
rename from build/common/depthwiseSeparableConv.d.ts
rename to build/src/common/depthwiseSeparableConv.d.ts
diff --git a/build/src/common/depthwiseSeparableConv.d.ts.map b/build/src/common/depthwiseSeparableConv.d.ts.map
new file mode 100644
index 0000000..754cd9d
--- /dev/null
+++ b/build/src/common/depthwiseSeparableConv.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"depthwiseSeparableConv.d.ts","sourceRoot":"","sources":["../../../src/common/depthwiseSeparableConv.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,mBAAmB,EAAE,MAAM,SAAS,CAAC;AAE9C,wBAAgB,sBAAsB,CACpC,CAAC,EAAE,EAAE,CAAC,QAAQ,EACd,MAAM,EAAE,mBAAmB,EAC3B,MAAM,EAAE,CAAC,MAAM,EAAE,MAAM,CAAC,GACvB,EAAE,CAAC,QAAQ,CAMb"}
\ No newline at end of file
diff --git a/build/common/depthwiseSeparableConv.js b/build/src/common/depthwiseSeparableConv.js
similarity index 100%
rename from build/common/depthwiseSeparableConv.js
rename to build/src/common/depthwiseSeparableConv.js
diff --git a/build/src/common/depthwiseSeparableConv.js.map b/build/src/common/depthwiseSeparableConv.js.map
new file mode 100644
index 0000000..9390288
--- /dev/null
+++ b/build/src/common/depthwiseSeparableConv.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/common/disposeUnusedWeightTensors.d.ts b/build/src/common/disposeUnusedWeightTensors.d.ts
similarity index 100%
rename from build/common/disposeUnusedWeightTensors.d.ts
rename to build/src/common/disposeUnusedWeightTensors.d.ts
diff --git a/build/src/common/disposeUnusedWeightTensors.d.ts.map b/build/src/common/disposeUnusedWeightTensors.d.ts.map
new file mode 100644
index 0000000..382a525
--- /dev/null
+++ b/build/src/common/disposeUnusedWeightTensors.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/common/disposeUnusedWeightTensors.js b/build/src/common/disposeUnusedWeightTensors.js
similarity index 100%
rename from build/common/disposeUnusedWeightTensors.js
rename to build/src/common/disposeUnusedWeightTensors.js
diff --git a/build/src/common/disposeUnusedWeightTensors.js.map b/build/src/common/disposeUnusedWeightTensors.js.map
new file mode 100644
index 0000000..c0e87e6
--- /dev/null
+++ b/build/src/common/disposeUnusedWeightTensors.js.map
@@ -0,0 +1 @@
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diff --git a/build/common/extractConvParamsFactory.d.ts b/build/src/common/extractConvParamsFactory.d.ts
similarity index 100%
rename from build/common/extractConvParamsFactory.d.ts
rename to build/src/common/extractConvParamsFactory.d.ts
diff --git a/build/src/common/extractConvParamsFactory.d.ts.map b/build/src/common/extractConvParamsFactory.d.ts.map
new file mode 100644
index 0000000..93d0772
--- /dev/null
+++ b/build/src/common/extractConvParamsFactory.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/common/extractConvParamsFactory.js b/build/src/common/extractConvParamsFactory.js
similarity index 100%
rename from build/common/extractConvParamsFactory.js
rename to build/src/common/extractConvParamsFactory.js
diff --git a/build/src/common/extractConvParamsFactory.js.map b/build/src/common/extractConvParamsFactory.js.map
new file mode 100644
index 0000000..a74a76c
--- /dev/null
+++ b/build/src/common/extractConvParamsFactory.js.map
@@ -0,0 +1 @@
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diff --git a/build/common/extractFCParamsFactory.d.ts b/build/src/common/extractFCParamsFactory.d.ts
similarity index 100%
rename from build/common/extractFCParamsFactory.d.ts
rename to build/src/common/extractFCParamsFactory.d.ts
diff --git a/build/src/common/extractFCParamsFactory.d.ts.map b/build/src/common/extractFCParamsFactory.d.ts.map
new file mode 100644
index 0000000..81cb8cf
--- /dev/null
+++ b/build/src/common/extractFCParamsFactory.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/common/extractFCParamsFactory.js b/build/src/common/extractFCParamsFactory.js
similarity index 100%
rename from build/common/extractFCParamsFactory.js
rename to build/src/common/extractFCParamsFactory.js
diff --git a/build/src/common/extractFCParamsFactory.js.map b/build/src/common/extractFCParamsFactory.js.map
new file mode 100644
index 0000000..da079d4
--- /dev/null
+++ b/build/src/common/extractFCParamsFactory.js.map
@@ -0,0 +1 @@
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diff --git a/build/common/extractSeparableConvParamsFactory.d.ts b/build/src/common/extractSeparableConvParamsFactory.d.ts
similarity index 100%
rename from build/common/extractSeparableConvParamsFactory.d.ts
rename to build/src/common/extractSeparableConvParamsFactory.d.ts
diff --git a/build/src/common/extractSeparableConvParamsFactory.d.ts.map b/build/src/common/extractSeparableConvParamsFactory.d.ts.map
new file mode 100644
index 0000000..7837254
--- /dev/null
+++ b/build/src/common/extractSeparableConvParamsFactory.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/common/extractSeparableConvParamsFactory.js b/build/src/common/extractSeparableConvParamsFactory.js
similarity index 100%
rename from build/common/extractSeparableConvParamsFactory.js
rename to build/src/common/extractSeparableConvParamsFactory.js
diff --git a/build/src/common/extractSeparableConvParamsFactory.js.map b/build/src/common/extractSeparableConvParamsFactory.js.map
new file mode 100644
index 0000000..fb2fcd5
--- /dev/null
+++ b/build/src/common/extractSeparableConvParamsFactory.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/common/extractWeightEntryFactory.d.ts b/build/src/common/extractWeightEntryFactory.d.ts
similarity index 100%
rename from build/common/extractWeightEntryFactory.d.ts
rename to build/src/common/extractWeightEntryFactory.d.ts
diff --git a/build/src/common/extractWeightEntryFactory.d.ts.map b/build/src/common/extractWeightEntryFactory.d.ts.map
new file mode 100644
index 0000000..8bbb05d
--- /dev/null
+++ b/build/src/common/extractWeightEntryFactory.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/common/extractWeightEntryFactory.js b/build/src/common/extractWeightEntryFactory.js
similarity index 100%
rename from build/common/extractWeightEntryFactory.js
rename to build/src/common/extractWeightEntryFactory.js
diff --git a/build/src/common/extractWeightEntryFactory.js.map b/build/src/common/extractWeightEntryFactory.js.map
new file mode 100644
index 0000000..85d6f5e
--- /dev/null
+++ b/build/src/common/extractWeightEntryFactory.js.map
@@ -0,0 +1 @@
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diff --git a/build/common/extractWeightsFactory.d.ts b/build/src/common/extractWeightsFactory.d.ts
similarity index 100%
rename from build/common/extractWeightsFactory.d.ts
rename to build/src/common/extractWeightsFactory.d.ts
diff --git a/build/src/common/extractWeightsFactory.d.ts.map b/build/src/common/extractWeightsFactory.d.ts.map
new file mode 100644
index 0000000..52a35c9
--- /dev/null
+++ b/build/src/common/extractWeightsFactory.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/common/extractWeightsFactory.js b/build/src/common/extractWeightsFactory.js
similarity index 100%
rename from build/common/extractWeightsFactory.js
rename to build/src/common/extractWeightsFactory.js
diff --git a/build/src/common/extractWeightsFactory.js.map b/build/src/common/extractWeightsFactory.js.map
new file mode 100644
index 0000000..b599a03
--- /dev/null
+++ b/build/src/common/extractWeightsFactory.js.map
@@ -0,0 +1 @@
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diff --git a/build/common/fullyConnectedLayer.d.ts b/build/src/common/fullyConnectedLayer.d.ts
similarity index 100%
rename from build/common/fullyConnectedLayer.d.ts
rename to build/src/common/fullyConnectedLayer.d.ts
diff --git a/build/src/common/fullyConnectedLayer.d.ts.map b/build/src/common/fullyConnectedLayer.d.ts.map
new file mode 100644
index 0000000..77b3a09
--- /dev/null
+++ b/build/src/common/fullyConnectedLayer.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/common/fullyConnectedLayer.js b/build/src/common/fullyConnectedLayer.js
similarity index 100%
rename from build/common/fullyConnectedLayer.js
rename to build/src/common/fullyConnectedLayer.js
diff --git a/build/src/common/fullyConnectedLayer.js.map b/build/src/common/fullyConnectedLayer.js.map
new file mode 100644
index 0000000..ca4cd54
--- /dev/null
+++ b/build/src/common/fullyConnectedLayer.js.map
@@ -0,0 +1 @@
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diff --git a/build/common/getModelUris.d.ts b/build/src/common/getModelUris.d.ts
similarity index 100%
rename from build/common/getModelUris.d.ts
rename to build/src/common/getModelUris.d.ts
diff --git a/build/src/common/getModelUris.d.ts.map b/build/src/common/getModelUris.d.ts.map
new file mode 100644
index 0000000..a2ab383
--- /dev/null
+++ b/build/src/common/getModelUris.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/common/getModelUris.js b/build/src/common/getModelUris.js
similarity index 100%
rename from build/common/getModelUris.js
rename to build/src/common/getModelUris.js
diff --git a/build/src/common/getModelUris.js.map b/build/src/common/getModelUris.js.map
new file mode 100644
index 0000000..5d84ce5
--- /dev/null
+++ b/build/src/common/getModelUris.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/common/index.d.ts b/build/src/common/index.d.ts
similarity index 100%
rename from build/common/index.d.ts
rename to build/src/common/index.d.ts
diff --git a/build/src/common/index.d.ts.map b/build/src/common/index.d.ts.map
new file mode 100644
index 0000000..3ebaeae
--- /dev/null
+++ b/build/src/common/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/common/index.js b/build/src/common/index.js
similarity index 100%
rename from build/common/index.js
rename to build/src/common/index.js
diff --git a/build/src/common/index.js.map b/build/src/common/index.js.map
new file mode 100644
index 0000000..caf2411
--- /dev/null
+++ b/build/src/common/index.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/common/index.ts"],"names":[],"mappings":"AAAA,cAAc,aAAa,CAAA;AAC3B,cAAc,0BAA0B,CAAA;AACxC,cAAc,8BAA8B,CAAA;AAC5C,cAAc,4BAA4B,CAAA;AAC1C,cAAc,0BAA0B,CAAA;AACxC,cAAc,qCAAqC,CAAA;AACnD,cAAc,6BAA6B,CAAA;AAC3C,cAAc,yBAAyB,CAAA;AACvC,cAAc,gBAAgB,CAAA;AAC9B,cAAc,SAAS,CAAA"}
\ No newline at end of file
diff --git a/build/common/loadConvParamsFactory.d.ts b/build/src/common/loadConvParamsFactory.d.ts
similarity index 100%
rename from build/common/loadConvParamsFactory.d.ts
rename to build/src/common/loadConvParamsFactory.d.ts
diff --git a/build/src/common/loadConvParamsFactory.d.ts.map b/build/src/common/loadConvParamsFactory.d.ts.map
new file mode 100644
index 0000000..9f51df3
--- /dev/null
+++ b/build/src/common/loadConvParamsFactory.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"loadConvParamsFactory.d.ts","sourceRoot":"","sources":["../../../src/common/loadConvParamsFactory.ts"],"names":[],"mappings":"AAEA,OAAO,EAAE,UAAU,EAAE,MAAM,SAAS,CAAC;AAErC,wBAAgB,qBAAqB,CAAC,kBAAkB,EAAE,CAAC,CAAC,EAAE,YAAY,EAAE,MAAM,EAAE,SAAS,EAAE,MAAM,KAAK,CAAC,YACjF,MAAM,KAAG,UAAU,CAM5C"}
\ No newline at end of file
diff --git a/build/common/loadConvParamsFactory.js b/build/src/common/loadConvParamsFactory.js
similarity index 100%
rename from build/common/loadConvParamsFactory.js
rename to build/src/common/loadConvParamsFactory.js
diff --git a/build/src/common/loadConvParamsFactory.js.map b/build/src/common/loadConvParamsFactory.js.map
new file mode 100644
index 0000000..b941bf7
--- /dev/null
+++ b/build/src/common/loadConvParamsFactory.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"loadConvParamsFactory.js","sourceRoot":"","sources":["../../../src/common/loadConvParamsFactory.ts"],"names":[],"mappings":"AAIA,MAAM,UAAU,qBAAqB,CAAC,kBAAqE;IACzG,OAAO,UAAS,MAAc;QAC5B,MAAM,OAAO,GAAG,kBAAkB,CAAc,GAAG,MAAM,UAAU,EAAE,CAAC,CAAC,CAAA;QACvE,MAAM,IAAI,GAAG,kBAAkB,CAAc,GAAG,MAAM,OAAO,EAAE,CAAC,CAAC,CAAA;QAEjE,OAAO,EAAE,OAAO,EAAE,IAAI,EAAE,CAAA;IAC1B,CAAC,CAAA;AACH,CAAC"}
\ No newline at end of file
diff --git a/build/common/types.d.ts b/build/src/common/types.d.ts
similarity index 100%
rename from build/common/types.d.ts
rename to build/src/common/types.d.ts
diff --git a/build/src/common/types.d.ts.map b/build/src/common/types.d.ts.map
new file mode 100644
index 0000000..4da6364
--- /dev/null
+++ b/build/src/common/types.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"types.d.ts","sourceRoot":"","sources":["../../../src/common/types.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,oBAAY,sBAAsB,GAAG,CAAC,UAAU,EAAE,MAAM,KAAK,YAAY,CAAA;AAEzE,oBAAY,YAAY,GAAG;IACzB,YAAY,CAAC,EAAE,MAAM,CAAA;IACrB,SAAS,EAAE,MAAM,CAAA;CAClB,CAAA;AAED,oBAAY,UAAU,GAAG;IACvB,OAAO,EAAE,EAAE,CAAC,QAAQ,CAAA;IACpB,IAAI,EAAE,EAAE,CAAC,QAAQ,CAAA;CAClB,CAAA;AAED,oBAAY,QAAQ,GAAG;IACrB,OAAO,EAAE,EAAE,CAAC,QAAQ,CAAA;IACpB,IAAI,EAAE,EAAE,CAAC,QAAQ,CAAA;CAClB,CAAA;AAED,qBAAa,mBAAmB;IAErB,gBAAgB,EAAE,EAAE,CAAC,QAAQ;IAC7B,gBAAgB,EAAE,EAAE,CAAC,QAAQ;IAC7B,IAAI,EAAE,EAAE,CAAC,QAAQ;gBAFjB,gBAAgB,EAAE,EAAE,CAAC,QAAQ,EAC7B,gBAAgB,EAAE,EAAE,CAAC,QAAQ,EAC7B,IAAI,EAAE,EAAE,CAAC,QAAQ;CAE3B"}
\ No newline at end of file
diff --git a/build/common/types.js b/build/src/common/types.js
similarity index 100%
rename from build/common/types.js
rename to build/src/common/types.js
diff --git a/build/src/common/types.js.map b/build/src/common/types.js.map
new file mode 100644
index 0000000..b7a01a5
--- /dev/null
+++ b/build/src/common/types.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/common/types.ts"],"names":[],"mappings":"AAmBA,MAAM,OAAO,mBAAmB;IAC9B,YACS,gBAA6B,EAC7B,gBAA6B,EAC7B,IAAiB;QAFjB,qBAAgB,GAAhB,gBAAgB,CAAa;QAC7B,qBAAgB,GAAhB,gBAAgB,CAAa;QAC7B,SAAI,GAAJ,IAAI,CAAa;IACvB,CAAC;CACL"}
\ No newline at end of file
diff --git a/build/dom/NetInput.d.ts b/build/src/dom/NetInput.d.ts
similarity index 100%
rename from build/dom/NetInput.d.ts
rename to build/src/dom/NetInput.d.ts
diff --git a/build/src/dom/NetInput.d.ts.map b/build/src/dom/NetInput.d.ts.map
new file mode 100644
index 0000000..34be108
--- /dev/null
+++ b/build/src/dom/NetInput.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"NetInput.d.ts","sourceRoot":"","sources":["../../../src/dom/NetInput.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,UAAU,EAAE,MAAM,uBAAuB,CAAC;AAMnD,OAAO,EAAE,iBAAiB,EAAE,MAAM,SAAS,CAAC;AAE5C,qBAAa,QAAQ;IACnB,OAAO,CAAC,aAAa,CAAuC;IAC5D,OAAO,CAAC,SAAS,CAA0B;IAC3C,OAAO,CAAC,UAAU,CAAQ;IAC1B,OAAO,CAAC,kBAAkB,CAAiB;IAE3C,OAAO,CAAC,gBAAgB,CAAiB;IACzC,OAAO,CAAC,UAAU,CAAQ;gBAGxB,MAAM,EAAE,KAAK,CAAC,iBAAiB,CAAC,EAChC,iBAAiB,GAAE,OAAe;IAkCpC,IAAW,YAAY,IAAI,KAAK,CAAC,EAAE,CAAC,QAAQ,GAAG,EAAE,CAAC,QAAQ,CAAC,CAE1D;IAED,IAAW,QAAQ,IAAI,iBAAiB,EAAE,CAEzC;IAED,IAAW,YAAY,IAAI,OAAO,CAEjC;IAED,IAAW,SAAS,IAAI,MAAM,CAE7B;IAED,IAAW,eAAe,IAAI,MAAM,EAAE,EAAE,CAEvC;IAED,IAAW,SAAS,IAAI,MAAM,GAAG,SAAS,CAEzC;IAED,IAAW,uBAAuB,IAAI,UAAU,EAAE,CAIjD;IAEM,QAAQ,CAAC,QAAQ,EAAE,MAAM,GAAG,EAAE,CAAC,QAAQ,GAAI,EAAE,CAAC,QAAQ,GAAG,iBAAiB;IAI1E,kBAAkB,CAAC,QAAQ,EAAE,MAAM,GAAG,MAAM,EAAE;IAI9C,cAAc,CAAC,QAAQ,EAAE,MAAM,GAAG,MAAM;IAIxC,aAAa,CAAC,QAAQ,EAAE,MAAM,GAAG,MAAM;IAIvC,0BAA0B,CAAC,QAAQ,EAAE,MAAM,GAAG,UAAU;IAU/D;;;;;;;;OAQG;IACI,aAAa,CAAC,SAAS,EAAE,MAAM,EAAE,cAAc,GAAE,OAAc,GAAG,EAAE,CAAC,QAAQ;CAmCrF"}
\ No newline at end of file
diff --git a/build/dom/NetInput.js b/build/src/dom/NetInput.js
similarity index 95%
rename from build/dom/NetInput.js
rename to build/src/dom/NetInput.js
index a154818..1f913b0 100644
--- a/build/dom/NetInput.js
+++ b/build/src/dom/NetInput.js
@@ -105,7 +105,8 @@ export class NetInput {
                 }
                 throw new Error(`toBatchTensor - at batchIdx ${batchIdx}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${input}`);
             });
-            const batchTensor = tf.stack(inputTensors.map(t => t.toFloat())).as4D(this.batchSize, inputSize, inputSize, 3);
+            // const batchTensor = tf.stack(inputTensors.map(t => t.toFloat())).as4D(this.batchSize, inputSize, inputSize, 3)
+            const batchTensor = tf.stack(inputTensors.map(t => tf.cast(t, 'float32'))).as4D(this.batchSize, inputSize, inputSize, 3);
             return batchTensor;
         });
     }
diff --git a/build/src/dom/NetInput.js.map b/build/src/dom/NetInput.js.map
new file mode 100644
index 0000000..289156b
--- /dev/null
+++ b/build/src/dom/NetInput.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"NetInput.js","sourceRoot":"","sources":["../../../src/dom/NetInput.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAG5C,OAAO,EAAE,GAAG,EAAE,MAAM,QAAQ,CAAC;AAC7B,OAAO,EAAE,WAAW,EAAE,MAAM,oBAAoB,CAAC;AACjD,OAAO,EAAE,yBAAyB,EAAE,UAAU,EAAE,UAAU,EAAE,KAAK,EAAE,MAAM,UAAU,CAAC;AACpF,OAAO,EAAE,qBAAqB,EAAE,MAAM,gBAAgB,CAAC;AACvD,OAAO,EAAE,aAAa,EAAE,MAAM,iBAAiB,CAAC;AAGhD,MAAM,OAAO,QAAQ;IASnB,YACE,MAAgC,EAChC,oBAA6B,KAAK;QAV5B,kBAAa,GAAqC,EAAE,CAAA;QACpD,cAAS,GAAwB,EAAE,CAAA;QAEnC,uBAAkB,GAAY,KAAK,CAAA;QAEnC,qBAAgB,GAAe,EAAE,CAAA;QAOvC,IAAI,CAAC,KAAK,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE;YAC1B,MAAM,IAAI,KAAK,CAAC,4HAA4H,MAAM,EAAE,CAAC,CAAA;SACtJ;QAED,IAAI,CAAC,kBAAkB,GAAG,iBAAiB,CAAA;QAC3C,IAAI,CAAC,UAAU,GAAG,MAAM,CAAC,MAAM,CAAA;QAE/B,MAAM,CAAC,OAAO,CAAC,CAAC,KAAK,EAAE,GAAG,EAAE,EAAE;YAE5B,IAAI,UAAU,CAAC,KAAK,CAAC,EAAE;gBACrB,IAAI,CAAC,aAAa,CAAC,GAAG,CAAC,GAAG,KAAK,CAAA;gBAC/B,IAAI,CAAC,gBAAgB,CAAC,GAAG,CAAC,GAAG,KAAK,CAAC,KAAK,CAAA;gBACxC,OAAM;aACP;YAED,IAAI,UAAU,CAAC,KAAK,CAAC,EAAE;gBACrB,MAAM,SAAS,GAAG,KAAK,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;gBAChC,IAAI,SAAS,KAAK,CAAC,EAAE;oBACnB,MAAM,IAAI,KAAK,CAAC,yCAAyC,SAAS,2CAA2C,CAAC,CAAA;iBAC/G;gBAED,IAAI,CAAC,aAAa,CAAC,GAAG,CAAC,GAAG,KAAK,CAAA;gBAC/B,IAAI,CAAC,gBAAgB,CAAC,GAAG,CAAC,GAAG,KAAK,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;gBACjD,OAAM;aACP;YAED,MAAM,MAAM,GAAG,KAAK,YAAY,GAAG,CAAC,MAAM,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,qBAAqB,CAAC,KAAK,CAAC,CAAA;YAC1F,IAAI,CAAC,SAAS,CAAC,GAAG,CAAC,GAAG,MAAM,CAAA;YAC5B,IAAI,CAAC,gBAAgB,CAAC,GAAG,CAAC,GAAG,CAAC,MAAM,CAAC,MAAM,EAAE,MAAM,CAAC,KAAK,EAAE,CAAC,CAAC,CAAA;QAC/D,CAAC,CAAC,CAAA;IACJ,CAAC;IAED,IAAW,YAAY;QACrB,OAAO,IAAI,CAAC,aAAa,CAAA;IAC3B,CAAC;IAED,IAAW,QAAQ;QACjB,OAAO,IAAI,CAAC,SAAS,CAAA;IACvB,CAAC;IAED,IAAW,YAAY;QACrB,OAAO,IAAI,CAAC,SAAS,GAAG,CAAC,IAAI,IAAI,CAAC,kBAAkB,CAAA;IACtD,CAAC;IAED,IAAW,SAAS;QAClB,OAAO,IAAI,CAAC,UAAU,CAAA;IACxB,CAAC;IAED,IAAW,eAAe;QACxB,OAAO,IAAI,CAAC,gBAAgB,CAAA;IAC9B,CAAC;IAED,IAAW,SAAS;QAClB,OAAO,IAAI,CAAC,UAAU,CAAA;IACxB,CAAC;IAED,IAAW,uBAAuB;QAChC,OAAO,KAAK,CAAC,IAAI,CAAC,SAAS,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,GAAG,CACpC,CAAC,CAAC,EAAE,QAAQ,EAAE,EAAE,CAAC,IAAI,CAAC,0BAA0B,CAAC,QAAQ,CAAC,CAC3D,CAAA;IACH,CAAC;IAEM,QAAQ,CAAC,QAAgB;QAC9B,OAAO,IAAI,CAAC,QAAQ,CAAC,QAAQ,CAAC,IAAI,IAAI,CAAC,YAAY,CAAC,QAAQ,CAAC,CAAA;IAC/D,CAAC;IAEM,kBAAkB,CAAC,QAAgB;QACxC,OAAO,IAAI,CAAC,gBAAgB,CAAC,QAAQ,CAAC,CAAA;IACxC,CAAC;IAEM,cAAc,CAAC,QAAgB;QACpC,OAAO,IAAI,CAAC,gBAAgB,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAA;IAC3C,CAAC;IAEM,aAAa,CAAC,QAAgB;QACnC,OAAO,IAAI,CAAC,gBAAgB,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAA;IAC3C,CAAC;IAEM,0BAA0B,CAAC,QAAgB;QAChD,IAAI,OAAO,IAAI,CAAC,SAAS,KAAK,QAAQ,EAAE;YACtC,MAAM,IAAI,KAAK,CAAC,uFAAuF,CAAC,CAAA;SACzG;QAED,MAAM,KAAK,GAAG,IAAI,CAAC,aAAa,CAAC,QAAQ,CAAC,CAAA;QAC1C,MAAM,MAAM,GAAG,IAAI,CAAC,cAAc,CAAC,QAAQ,CAAC,CAAA;QAC5C,OAAO,yBAAyB,CAAC,EAAE,KAAK,EAAE,MAAM,EAAE,EAAE,IAAI,CAAC,SAAS,CAAC,CAAA;IACrE,CAAC;IAED;;;;;;;;OAQG;IACI,aAAa,CAAC,SAAiB,EAAE,iBAA0B,IAAI;QAEpE,IAAI,CAAC,UAAU,GAAG,SAAS,CAAA;QAE3B,OAAO,EAAE,CAAC,IAAI,CAAC,GAAG,EAAE;YAElB,MAAM,YAAY,GAAG,KAAK,CAAC,IAAI,CAAC,SAAS,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,QAAQ,CAAC,EAAE;gBAC9D,MAAM,KAAK,GAAG,IAAI,CAAC,QAAQ,CAAC,QAAQ,CAAC,CAAA;gBAErC,IAAI,KAAK,YAAY,EAAE,CAAC,MAAM,EAAE;oBAC9B,2FAA2F;oBAC3F,IAAI,SAAS,GAAG,UAAU,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,CAAC,UAAU,EAAc,CAAA;oBAC1E,2FAA2F;oBAC3F,SAAS,GAAG,WAAW,CAAC,SAAS,EAAE,cAAc,CAAC,CAAA;oBAElD,IAAI,SAAS,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,SAAS,IAAI,SAAS,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,SAAS,EAAE;wBACxE,SAAS,GAAG,EAAE,CAAC,KAAK,CAAC,cAAc,CAAC,SAAS,EAAE,CAAC,SAAS,EAAE,SAAS,CAAC,CAAC,CAAA;qBACvE;oBAED,OAAO,SAAS,CAAC,IAAI,CAAC,SAAS,EAAE,SAAS,EAAE,CAAC,CAAC,CAAA;iBAC/C;gBAED,IAAI,KAAK,YAAY,GAAG,CAAC,MAAM,EAAE,CAAC,MAAM,EAAE;oBACxC,OAAO,EAAE,CAAC,OAAO,CAAC,UAAU,CAAC,aAAa,CAAC,KAAK,EAAE,SAAS,EAAE,cAAc,CAAC,CAAC,CAAA;iBAC9E;gBAED,MAAM,IAAI,KAAK,CAAC,+BAA+B,QAAQ,6FAA6F,KAAK,EAAE,CAAC,CAAA;YAC9J,CAAC,CAAC,CAAA;YAEF,iHAAiH;YACjH,MAAM,WAAW,GAAG,EAAE,CAAC,KAAK,CAAC,YAAY,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,IAAI,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,IAAI,CAAC,IAAI,CAAC,SAAS,EAAE,SAAS,EAAE,SAAS,EAAE,CAAC,CAAC,CAAA;YAExH,OAAO,WAAW,CAAA;QACpB,CAAC,CAAC,CAAA;IACJ,CAAC;CACF"}
\ No newline at end of file
diff --git a/build/dom/awaitMediaLoaded.d.ts b/build/src/dom/awaitMediaLoaded.d.ts
similarity index 100%
rename from build/dom/awaitMediaLoaded.d.ts
rename to build/src/dom/awaitMediaLoaded.d.ts
diff --git a/build/src/dom/awaitMediaLoaded.d.ts.map b/build/src/dom/awaitMediaLoaded.d.ts.map
new file mode 100644
index 0000000..764efb7
--- /dev/null
+++ b/build/src/dom/awaitMediaLoaded.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"awaitMediaLoaded.d.ts","sourceRoot":"","sources":["../../../src/dom/awaitMediaLoaded.ts"],"names":[],"mappings":"AAGA,wBAAgB,gBAAgB,CAAC,KAAK,EAAE,gBAAgB,GAAG,gBAAgB,GAAG,iBAAiB,oBAwB9F"}
\ No newline at end of file
diff --git a/build/dom/awaitMediaLoaded.js b/build/src/dom/awaitMediaLoaded.js
similarity index 100%
rename from build/dom/awaitMediaLoaded.js
rename to build/src/dom/awaitMediaLoaded.js
diff --git a/build/src/dom/awaitMediaLoaded.js.map b/build/src/dom/awaitMediaLoaded.js.map
new file mode 100644
index 0000000..853576c
--- /dev/null
+++ b/build/src/dom/awaitMediaLoaded.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"awaitMediaLoaded.js","sourceRoot":"","sources":["../../../src/dom/awaitMediaLoaded.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,GAAG,EAAE,MAAM,QAAQ,CAAC;AAC7B,OAAO,EAAE,aAAa,EAAE,MAAM,iBAAiB,CAAC;AAEhD,MAAM,UAAU,gBAAgB,CAAC,KAA8D;IAE7F,OAAO,IAAI,OAAO,CAAC,CAAC,OAAO,EAAE,MAAM,EAAE,EAAE;QACrC,IAAI,KAAK,YAAY,GAAG,CAAC,MAAM,EAAE,CAAC,MAAM,IAAI,aAAa,CAAC,KAAK,CAAC,EAAE;YAChE,OAAO,OAAO,EAAE,CAAA;SACjB;QAED,SAAS,MAAM,CAAC,CAAQ;YACtB,IAAI,CAAC,CAAC,CAAC,aAAa;gBAAE,OAAM;YAC5B,CAAC,CAAC,aAAa,CAAC,mBAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,CAAA;YACnD,CAAC,CAAC,aAAa,CAAC,mBAAmB,CAAC,OAAO,EAAE,OAAO,CAAC,CAAA;YACrD,OAAO,CAAC,CAAC,CAAC,CAAA;QACZ,CAAC;QAED,SAAS,OAAO,CAAC,CAAQ;YACvB,IAAI,CAAC,CAAC,CAAC,aAAa;gBAAE,OAAM;YAC5B,CAAC,CAAC,aAAa,CAAC,mBAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,CAAA;YACnD,CAAC,CAAC,aAAa,CAAC,mBAAmB,CAAC,OAAO,EAAE,OAAO,CAAC,CAAA;YACrD,MAAM,CAAC,CAAC,CAAC,CAAA;QACX,CAAC;QAED,KAAK,CAAC,gBAAgB,CAAC,MAAM,EAAE,MAAM,CAAC,CAAA;QACtC,KAAK,CAAC,gBAAgB,CAAC,OAAO,EAAE,OAAO,CAAC,CAAA;IAC1C,CAAC,CAAC,CAAA;AACJ,CAAC"}
\ No newline at end of file
diff --git a/build/dom/bufferToImage.d.ts b/build/src/dom/bufferToImage.d.ts
similarity index 100%
rename from build/dom/bufferToImage.d.ts
rename to build/src/dom/bufferToImage.d.ts
diff --git a/build/src/dom/bufferToImage.d.ts.map b/build/src/dom/bufferToImage.d.ts.map
new file mode 100644
index 0000000..c4d71ac
--- /dev/null
+++ b/build/src/dom/bufferToImage.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"bufferToImage.d.ts","sourceRoot":"","sources":["../../../src/dom/bufferToImage.ts"],"names":[],"mappings":"AAEA,wBAAgB,aAAa,CAAC,GAAG,EAAE,IAAI,GAAG,OAAO,CAAC,gBAAgB,CAAC,CAoBlE"}
\ No newline at end of file
diff --git a/build/dom/bufferToImage.js b/build/src/dom/bufferToImage.js
similarity index 100%
rename from build/dom/bufferToImage.js
rename to build/src/dom/bufferToImage.js
diff --git a/build/src/dom/bufferToImage.js.map b/build/src/dom/bufferToImage.js.map
new file mode 100644
index 0000000..b8122a1
--- /dev/null
+++ b/build/src/dom/bufferToImage.js.map
@@ -0,0 +1 @@
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diff --git a/build/dom/createCanvas.d.ts b/build/src/dom/createCanvas.d.ts
similarity index 100%
rename from build/dom/createCanvas.d.ts
rename to build/src/dom/createCanvas.d.ts
diff --git a/build/src/dom/createCanvas.d.ts.map b/build/src/dom/createCanvas.d.ts.map
new file mode 100644
index 0000000..4f534e5
--- /dev/null
+++ b/build/src/dom/createCanvas.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/dom/createCanvas.js b/build/src/dom/createCanvas.js
similarity index 100%
rename from build/dom/createCanvas.js
rename to build/src/dom/createCanvas.js
diff --git a/build/src/dom/createCanvas.js.map b/build/src/dom/createCanvas.js.map
new file mode 100644
index 0000000..43fd9df
--- /dev/null
+++ b/build/src/dom/createCanvas.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/extractFaceTensors.d.ts b/build/src/dom/extractFaceTensors.d.ts
similarity index 100%
rename from build/dom/extractFaceTensors.d.ts
rename to build/src/dom/extractFaceTensors.d.ts
diff --git a/build/src/dom/extractFaceTensors.d.ts.map b/build/src/dom/extractFaceTensors.d.ts.map
new file mode 100644
index 0000000..bfca74c
--- /dev/null
+++ b/build/src/dom/extractFaceTensors.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/extractFaceTensors.js b/build/src/dom/extractFaceTensors.js
similarity index 100%
rename from build/dom/extractFaceTensors.js
rename to build/src/dom/extractFaceTensors.js
diff --git a/build/src/dom/extractFaceTensors.js.map b/build/src/dom/extractFaceTensors.js.map
new file mode 100644
index 0000000..0b6e025
--- /dev/null
+++ b/build/src/dom/extractFaceTensors.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/extractFaces.d.ts b/build/src/dom/extractFaces.d.ts
similarity index 100%
rename from build/dom/extractFaces.d.ts
rename to build/src/dom/extractFaces.d.ts
diff --git a/build/src/dom/extractFaces.d.ts.map b/build/src/dom/extractFaces.d.ts.map
new file mode 100644
index 0000000..f56bbcf
--- /dev/null
+++ b/build/src/dom/extractFaces.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/extractFaces.js b/build/src/dom/extractFaces.js
similarity index 100%
rename from build/dom/extractFaces.js
rename to build/src/dom/extractFaces.js
diff --git a/build/src/dom/extractFaces.js.map b/build/src/dom/extractFaces.js.map
new file mode 100644
index 0000000..0410db1
--- /dev/null
+++ b/build/src/dom/extractFaces.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/fetchImage.d.ts b/build/src/dom/fetchImage.d.ts
similarity index 100%
rename from build/dom/fetchImage.d.ts
rename to build/src/dom/fetchImage.d.ts
diff --git a/build/src/dom/fetchImage.d.ts.map b/build/src/dom/fetchImage.d.ts.map
new file mode 100644
index 0000000..90ca43a
--- /dev/null
+++ b/build/src/dom/fetchImage.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/fetchImage.js b/build/src/dom/fetchImage.js
similarity index 100%
rename from build/dom/fetchImage.js
rename to build/src/dom/fetchImage.js
diff --git a/build/src/dom/fetchImage.js.map b/build/src/dom/fetchImage.js.map
new file mode 100644
index 0000000..3b901e8
--- /dev/null
+++ b/build/src/dom/fetchImage.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/fetchJson.d.ts b/build/src/dom/fetchJson.d.ts
similarity index 100%
rename from build/dom/fetchJson.d.ts
rename to build/src/dom/fetchJson.d.ts
diff --git a/build/src/dom/fetchJson.d.ts.map b/build/src/dom/fetchJson.d.ts.map
new file mode 100644
index 0000000..153301b
--- /dev/null
+++ b/build/src/dom/fetchJson.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/fetchJson.js b/build/src/dom/fetchJson.js
similarity index 100%
rename from build/dom/fetchJson.js
rename to build/src/dom/fetchJson.js
diff --git a/build/src/dom/fetchJson.js.map b/build/src/dom/fetchJson.js.map
new file mode 100644
index 0000000..bc127ff
--- /dev/null
+++ b/build/src/dom/fetchJson.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/fetchNetWeights.d.ts b/build/src/dom/fetchNetWeights.d.ts
similarity index 100%
rename from build/dom/fetchNetWeights.d.ts
rename to build/src/dom/fetchNetWeights.d.ts
diff --git a/build/src/dom/fetchNetWeights.d.ts.map b/build/src/dom/fetchNetWeights.d.ts.map
new file mode 100644
index 0000000..0bde70e
--- /dev/null
+++ b/build/src/dom/fetchNetWeights.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/fetchNetWeights.js b/build/src/dom/fetchNetWeights.js
similarity index 100%
rename from build/dom/fetchNetWeights.js
rename to build/src/dom/fetchNetWeights.js
diff --git a/build/src/dom/fetchNetWeights.js.map b/build/src/dom/fetchNetWeights.js.map
new file mode 100644
index 0000000..3293978
--- /dev/null
+++ b/build/src/dom/fetchNetWeights.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/fetchOrThrow.d.ts b/build/src/dom/fetchOrThrow.d.ts
similarity index 100%
rename from build/dom/fetchOrThrow.d.ts
rename to build/src/dom/fetchOrThrow.d.ts
diff --git a/build/src/dom/fetchOrThrow.d.ts.map b/build/src/dom/fetchOrThrow.d.ts.map
new file mode 100644
index 0000000..493463e
--- /dev/null
+++ b/build/src/dom/fetchOrThrow.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/fetchOrThrow.js b/build/src/dom/fetchOrThrow.js
similarity index 100%
rename from build/dom/fetchOrThrow.js
rename to build/src/dom/fetchOrThrow.js
diff --git a/build/src/dom/fetchOrThrow.js.map b/build/src/dom/fetchOrThrow.js.map
new file mode 100644
index 0000000..8158300
--- /dev/null
+++ b/build/src/dom/fetchOrThrow.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/getContext2dOrThrow.d.ts b/build/src/dom/getContext2dOrThrow.d.ts
similarity index 100%
rename from build/dom/getContext2dOrThrow.d.ts
rename to build/src/dom/getContext2dOrThrow.d.ts
diff --git a/build/src/dom/getContext2dOrThrow.d.ts.map b/build/src/dom/getContext2dOrThrow.d.ts.map
new file mode 100644
index 0000000..0da2af2
--- /dev/null
+++ b/build/src/dom/getContext2dOrThrow.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"getContext2dOrThrow.d.ts","sourceRoot":"","sources":["../../../src/dom/getContext2dOrThrow.ts"],"names":[],"mappings":"AAGA,wBAAgB,mBAAmB,CAAC,SAAS,EAAE,MAAM,GAAG,iBAAiB,GAAG,wBAAwB,GAAG,wBAAwB,CAoB9H"}
\ No newline at end of file
diff --git a/build/dom/getContext2dOrThrow.js b/build/src/dom/getContext2dOrThrow.js
similarity index 100%
rename from build/dom/getContext2dOrThrow.js
rename to build/src/dom/getContext2dOrThrow.js
diff --git a/build/src/dom/getContext2dOrThrow.js.map b/build/src/dom/getContext2dOrThrow.js.map
new file mode 100644
index 0000000..56ac26c
--- /dev/null
+++ b/build/src/dom/getContext2dOrThrow.js.map
@@ -0,0 +1 @@
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diff --git a/build/dom/getMediaDimensions.d.ts b/build/src/dom/getMediaDimensions.d.ts
similarity index 100%
rename from build/dom/getMediaDimensions.d.ts
rename to build/src/dom/getMediaDimensions.d.ts
diff --git a/build/src/dom/getMediaDimensions.d.ts.map b/build/src/dom/getMediaDimensions.d.ts.map
new file mode 100644
index 0000000..5ffdf92
--- /dev/null
+++ b/build/src/dom/getMediaDimensions.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/dom/getMediaDimensions.js b/build/src/dom/getMediaDimensions.js
similarity index 100%
rename from build/dom/getMediaDimensions.js
rename to build/src/dom/getMediaDimensions.js
diff --git a/build/src/dom/getMediaDimensions.js.map b/build/src/dom/getMediaDimensions.js.map
new file mode 100644
index 0000000..aad1880
--- /dev/null
+++ b/build/src/dom/getMediaDimensions.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/imageTensorToCanvas.d.ts b/build/src/dom/imageTensorToCanvas.d.ts
similarity index 100%
rename from build/dom/imageTensorToCanvas.d.ts
rename to build/src/dom/imageTensorToCanvas.d.ts
diff --git a/build/src/dom/imageTensorToCanvas.d.ts.map b/build/src/dom/imageTensorToCanvas.d.ts.map
new file mode 100644
index 0000000..2d31d3f
--- /dev/null
+++ b/build/src/dom/imageTensorToCanvas.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/imageTensorToCanvas.js b/build/src/dom/imageTensorToCanvas.js
similarity index 100%
rename from build/dom/imageTensorToCanvas.js
rename to build/src/dom/imageTensorToCanvas.js
diff --git a/build/src/dom/imageTensorToCanvas.js.map b/build/src/dom/imageTensorToCanvas.js.map
new file mode 100644
index 0000000..d054882
--- /dev/null
+++ b/build/src/dom/imageTensorToCanvas.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"imageTensorToCanvas.js","sourceRoot":"","sources":["../../../src/dom/imageTensorToCanvas.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,GAAG,EAAE,MAAM,QAAQ,CAAC;AAC7B,OAAO,EAAE,UAAU,EAAE,MAAM,UAAU,CAAC;AAEtC,MAAM,CAAC,KAAK,UAAU,mBAAmB,CACvC,SAAoB,EACpB,MAA0B;IAG1B,MAAM,YAAY,GAAG,MAAM,IAAI,GAAG,CAAC,MAAM,EAAE,CAAC,mBAAmB,EAAE,CAAA;IAEjE,MAAM,CAAC,MAAM,EAAE,KAAK,EAAE,WAAW,CAAC,GAAG,SAAS,CAAC,KAAK,CAAC,KAAK,CAAC,UAAU,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;IACzF,MAAM,WAAW,GAAG,EAAE,CAAC,IAAI,CAAC,GAAG,EAAE,CAAC,SAAS,CAAC,IAAI,CAAC,MAAM,EAAE,KAAK,EAAE,WAAW,CAAC,CAAC,KAAK,EAAE,CAAC,CAAA;IACrF,MAAM,EAAE,CAAC,OAAO,CAAC,QAAQ,CAAC,WAAW,EAAE,YAAY,CAAC,CAAA;IAEpD,WAAW,CAAC,OAAO,EAAE,CAAA;IAErB,OAAO,YAAY,CAAA;AACrB,CAAC"}
\ No newline at end of file
diff --git a/build/dom/imageToSquare.d.ts b/build/src/dom/imageToSquare.d.ts
similarity index 100%
rename from build/dom/imageToSquare.d.ts
rename to build/src/dom/imageToSquare.d.ts
diff --git a/build/src/dom/imageToSquare.d.ts.map b/build/src/dom/imageToSquare.d.ts.map
new file mode 100644
index 0000000..70fa1fa
--- /dev/null
+++ b/build/src/dom/imageToSquare.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/imageToSquare.js b/build/src/dom/imageToSquare.js
similarity index 100%
rename from build/dom/imageToSquare.js
rename to build/src/dom/imageToSquare.js
diff --git a/build/src/dom/imageToSquare.js.map b/build/src/dom/imageToSquare.js.map
new file mode 100644
index 0000000..fff0b45
--- /dev/null
+++ b/build/src/dom/imageToSquare.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/index.d.ts b/build/src/dom/index.d.ts
similarity index 100%
rename from build/dom/index.d.ts
rename to build/src/dom/index.d.ts
diff --git a/build/src/dom/index.d.ts.map b/build/src/dom/index.d.ts.map
new file mode 100644
index 0000000..de11bb6
--- /dev/null
+++ b/build/src/dom/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/index.js b/build/src/dom/index.js
similarity index 100%
rename from build/dom/index.js
rename to build/src/dom/index.js
diff --git a/build/src/dom/index.js.map b/build/src/dom/index.js.map
new file mode 100644
index 0000000..fcd6398
--- /dev/null
+++ b/build/src/dom/index.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/isMediaElement.d.ts b/build/src/dom/isMediaElement.d.ts
similarity index 100%
rename from build/dom/isMediaElement.d.ts
rename to build/src/dom/isMediaElement.d.ts
diff --git a/build/src/dom/isMediaElement.d.ts.map b/build/src/dom/isMediaElement.d.ts.map
new file mode 100644
index 0000000..890424b
--- /dev/null
+++ b/build/src/dom/isMediaElement.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/isMediaElement.js b/build/src/dom/isMediaElement.js
similarity index 100%
rename from build/dom/isMediaElement.js
rename to build/src/dom/isMediaElement.js
diff --git a/build/src/dom/isMediaElement.js.map b/build/src/dom/isMediaElement.js.map
new file mode 100644
index 0000000..68a2bc6
--- /dev/null
+++ b/build/src/dom/isMediaElement.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/isMediaLoaded.d.ts b/build/src/dom/isMediaLoaded.d.ts
similarity index 100%
rename from build/dom/isMediaLoaded.d.ts
rename to build/src/dom/isMediaLoaded.d.ts
diff --git a/build/src/dom/isMediaLoaded.d.ts.map b/build/src/dom/isMediaLoaded.d.ts.map
new file mode 100644
index 0000000..0387f9d
--- /dev/null
+++ b/build/src/dom/isMediaLoaded.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/isMediaLoaded.js b/build/src/dom/isMediaLoaded.js
similarity index 100%
rename from build/dom/isMediaLoaded.js
rename to build/src/dom/isMediaLoaded.js
diff --git a/build/src/dom/isMediaLoaded.js.map b/build/src/dom/isMediaLoaded.js.map
new file mode 100644
index 0000000..3479c6e
--- /dev/null
+++ b/build/src/dom/isMediaLoaded.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/loadWeightMap.d.ts b/build/src/dom/loadWeightMap.d.ts
similarity index 100%
rename from build/dom/loadWeightMap.d.ts
rename to build/src/dom/loadWeightMap.d.ts
diff --git a/build/src/dom/loadWeightMap.d.ts.map b/build/src/dom/loadWeightMap.d.ts.map
new file mode 100644
index 0000000..6889e35
--- /dev/null
+++ b/build/src/dom/loadWeightMap.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"loadWeightMap.d.ts","sourceRoot":"","sources":["../../../src/dom/loadWeightMap.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAK5C,wBAAsB,aAAa,CACjC,GAAG,EAAE,MAAM,GAAG,SAAS,EACvB,gBAAgB,EAAE,MAAM,GACvB,OAAO,CAAC,EAAE,CAAC,cAAc,CAAC,CAK5B"}
\ No newline at end of file
diff --git a/build/dom/loadWeightMap.js b/build/src/dom/loadWeightMap.js
similarity index 100%
rename from build/dom/loadWeightMap.js
rename to build/src/dom/loadWeightMap.js
diff --git a/build/src/dom/loadWeightMap.js.map b/build/src/dom/loadWeightMap.js.map
new file mode 100644
index 0000000..509f9a1
--- /dev/null
+++ b/build/src/dom/loadWeightMap.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"loadWeightMap.js","sourceRoot":"","sources":["../../../src/dom/loadWeightMap.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,YAAY,EAAE,MAAM,wBAAwB,CAAC;AACtD,OAAO,EAAE,SAAS,EAAE,MAAM,aAAa,CAAC;AAExC,MAAM,CAAC,KAAK,UAAU,aAAa,CACjC,GAAuB,EACvB,gBAAwB;IAExB,MAAM,EAAE,WAAW,EAAE,YAAY,EAAE,GAAG,YAAY,CAAC,GAAG,EAAE,gBAAgB,CAAC,CAAA;IACzE,IAAI,QAAQ,GAAG,MAAM,SAAS,CAA8B,WAAW,CAAC,CAAA;IACxE,2EAA2E;IAC3E,OAAO,EAAE,CAAC,EAAE,CAAC,WAAW,CAAC,QAAQ,EAAE,YAAY,CAAC,CAAA;AAClD,CAAC"}
\ No newline at end of file
diff --git a/build/dom/matchDimensions.d.ts b/build/src/dom/matchDimensions.d.ts
similarity index 100%
rename from build/dom/matchDimensions.d.ts
rename to build/src/dom/matchDimensions.d.ts
diff --git a/build/src/dom/matchDimensions.d.ts.map b/build/src/dom/matchDimensions.d.ts.map
new file mode 100644
index 0000000..e97cffa
--- /dev/null
+++ b/build/src/dom/matchDimensions.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/matchDimensions.js b/build/src/dom/matchDimensions.js
similarity index 100%
rename from build/dom/matchDimensions.js
rename to build/src/dom/matchDimensions.js
diff --git a/build/src/dom/matchDimensions.js.map b/build/src/dom/matchDimensions.js.map
new file mode 100644
index 0000000..223c45d
--- /dev/null
+++ b/build/src/dom/matchDimensions.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"matchDimensions.js","sourceRoot":"","sources":["../../../src/dom/matchDimensions.ts"],"names":[],"mappings":"AACA,OAAO,EAAE,kBAAkB,EAAE,MAAM,sBAAsB,CAAC;AAE1D,MAAM,UAAU,eAAe,CAAC,KAAkB,EAAE,SAAsB,EAAE,qBAA8B,KAAK;IAC7G,MAAM,EAAE,KAAK,EAAE,MAAM,EAAE,GAAG,kBAAkB;QAC1C,CAAC,CAAC,kBAAkB,CAAC,SAAS,CAAC;QAC/B,CAAC,CAAC,SAAS,CAAA;IACb,KAAK,CAAC,KAAK,GAAG,KAAK,CAAA;IACnB,KAAK,CAAC,MAAM,GAAG,MAAM,CAAA;IACrB,OAAO,EAAE,KAAK,EAAE,MAAM,EAAE,CAAA;AAC1B,CAAC"}
\ No newline at end of file
diff --git a/build/dom/resolveInput.d.ts b/build/src/dom/resolveInput.d.ts
similarity index 100%
rename from build/dom/resolveInput.d.ts
rename to build/src/dom/resolveInput.d.ts
diff --git a/build/src/dom/resolveInput.d.ts.map b/build/src/dom/resolveInput.d.ts.map
new file mode 100644
index 0000000..5559c84
--- /dev/null
+++ b/build/src/dom/resolveInput.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"resolveInput.d.ts","sourceRoot":"","sources":["../../../src/dom/resolveInput.ts"],"names":[],"mappings":"AAEA,wBAAgB,YAAY,CAAC,GAAG,EAAE,MAAM,GAAG,GAAG,OAK7C"}
\ No newline at end of file
diff --git a/build/dom/resolveInput.js b/build/src/dom/resolveInput.js
similarity index 100%
rename from build/dom/resolveInput.js
rename to build/src/dom/resolveInput.js
diff --git a/build/src/dom/resolveInput.js.map b/build/src/dom/resolveInput.js.map
new file mode 100644
index 0000000..67e6bb2
--- /dev/null
+++ b/build/src/dom/resolveInput.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/toNetInput.d.ts b/build/src/dom/toNetInput.d.ts
similarity index 100%
rename from build/dom/toNetInput.d.ts
rename to build/src/dom/toNetInput.d.ts
diff --git a/build/src/dom/toNetInput.d.ts.map b/build/src/dom/toNetInput.d.ts.map
new file mode 100644
index 0000000..75fe8eb
--- /dev/null
+++ b/build/src/dom/toNetInput.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/toNetInput.js b/build/src/dom/toNetInput.js
similarity index 100%
rename from build/dom/toNetInput.js
rename to build/src/dom/toNetInput.js
diff --git a/build/src/dom/toNetInput.js.map b/build/src/dom/toNetInput.js.map
new file mode 100644
index 0000000..f5ab6d9
--- /dev/null
+++ b/build/src/dom/toNetInput.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/dom/types.d.ts b/build/src/dom/types.d.ts
similarity index 100%
rename from build/dom/types.d.ts
rename to build/src/dom/types.d.ts
diff --git a/build/src/dom/types.d.ts.map b/build/src/dom/types.d.ts.map
new file mode 100644
index 0000000..fcc20dc
--- /dev/null
+++ b/build/src/dom/types.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"types.d.ts","sourceRoot":"","sources":["../../../src/dom/types.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,QAAQ,EAAE,MAAM,YAAY,CAAC;AAEtC,oBAAY,aAAa,GAAG,gBAAgB,GAAG,gBAAgB,GAAG,iBAAiB,CAAA;AAEnF,oBAAY,iBAAiB,GAAG,aAAa,GAAG,EAAE,CAAC,QAAQ,GAAG,EAAE,CAAC,QAAQ,CAAA;AAEzE,oBAAY,YAAY,GAAG,MAAM,GAAG,iBAAiB,CAAA;AAErD,oBAAY,SAAS,GAAG,YAAY,GAAG,KAAK,CAAC,YAAY,CAAC,GAAG,QAAQ,GAAG,EAAE,CAAC,QAAQ,CAAA"}
\ No newline at end of file
diff --git a/build/dom/types.js b/build/src/dom/types.js
similarity index 100%
rename from build/dom/types.js
rename to build/src/dom/types.js
diff --git a/build/dom/types.js.map b/build/src/dom/types.js.map
similarity index 57%
rename from build/dom/types.js.map
rename to build/src/dom/types.js.map
index 3c42080..81849c0 100644
--- a/build/dom/types.js.map
+++ b/build/src/dom/types.js.map
@@ -1 +1 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../src/dom/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
+{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/dom/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/draw/DrawBox.d.ts b/build/src/draw/DrawBox.d.ts
similarity index 100%
rename from build/draw/DrawBox.d.ts
rename to build/src/draw/DrawBox.d.ts
diff --git a/build/src/draw/DrawBox.d.ts.map b/build/src/draw/DrawBox.d.ts.map
new file mode 100644
index 0000000..46a9754
--- /dev/null
+++ b/build/src/draw/DrawBox.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/DrawBox.js b/build/src/draw/DrawBox.js
similarity index 100%
rename from build/draw/DrawBox.js
rename to build/src/draw/DrawBox.js
diff --git a/build/src/draw/DrawBox.js.map b/build/src/draw/DrawBox.js.map
new file mode 100644
index 0000000..75b0cef
--- /dev/null
+++ b/build/src/draw/DrawBox.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/DrawFaceLandmarks.d.ts b/build/src/draw/DrawFaceLandmarks.d.ts
similarity index 100%
rename from build/draw/DrawFaceLandmarks.d.ts
rename to build/src/draw/DrawFaceLandmarks.d.ts
diff --git a/build/src/draw/DrawFaceLandmarks.d.ts.map b/build/src/draw/DrawFaceLandmarks.d.ts.map
new file mode 100644
index 0000000..1198b05
--- /dev/null
+++ b/build/src/draw/DrawFaceLandmarks.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/DrawFaceLandmarks.js b/build/src/draw/DrawFaceLandmarks.js
similarity index 100%
rename from build/draw/DrawFaceLandmarks.js
rename to build/src/draw/DrawFaceLandmarks.js
diff --git a/build/src/draw/DrawFaceLandmarks.js.map b/build/src/draw/DrawFaceLandmarks.js.map
new file mode 100644
index 0000000..229c80d
--- /dev/null
+++ b/build/src/draw/DrawFaceLandmarks.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/DrawTextField.d.ts b/build/src/draw/DrawTextField.d.ts
similarity index 100%
rename from build/draw/DrawTextField.d.ts
rename to build/src/draw/DrawTextField.d.ts
diff --git a/build/src/draw/DrawTextField.d.ts.map b/build/src/draw/DrawTextField.d.ts.map
new file mode 100644
index 0000000..17fb5bc
--- /dev/null
+++ b/build/src/draw/DrawTextField.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/draw/DrawTextField.js b/build/src/draw/DrawTextField.js
similarity index 100%
rename from build/draw/DrawTextField.js
rename to build/src/draw/DrawTextField.js
diff --git a/build/src/draw/DrawTextField.js.map b/build/src/draw/DrawTextField.js.map
new file mode 100644
index 0000000..df53cad
--- /dev/null
+++ b/build/src/draw/DrawTextField.js.map
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\ No newline at end of file
diff --git a/build/draw/drawContour.d.ts b/build/src/draw/drawContour.d.ts
similarity index 100%
rename from build/draw/drawContour.d.ts
rename to build/src/draw/drawContour.d.ts
diff --git a/build/src/draw/drawContour.d.ts.map b/build/src/draw/drawContour.d.ts.map
new file mode 100644
index 0000000..aaddf84
--- /dev/null
+++ b/build/src/draw/drawContour.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/drawContour.js b/build/src/draw/drawContour.js
similarity index 100%
rename from build/draw/drawContour.js
rename to build/src/draw/drawContour.js
diff --git a/build/src/draw/drawContour.js.map b/build/src/draw/drawContour.js.map
new file mode 100644
index 0000000..9a97700
--- /dev/null
+++ b/build/src/draw/drawContour.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/drawDetections.d.ts b/build/src/draw/drawDetections.d.ts
similarity index 100%
rename from build/draw/drawDetections.d.ts
rename to build/src/draw/drawDetections.d.ts
diff --git a/build/src/draw/drawDetections.d.ts.map b/build/src/draw/drawDetections.d.ts.map
new file mode 100644
index 0000000..eb750ab
--- /dev/null
+++ b/build/src/draw/drawDetections.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/drawDetections.js b/build/src/draw/drawDetections.js
similarity index 100%
rename from build/draw/drawDetections.js
rename to build/src/draw/drawDetections.js
diff --git a/build/src/draw/drawDetections.js.map b/build/src/draw/drawDetections.js.map
new file mode 100644
index 0000000..43b14fe
--- /dev/null
+++ b/build/src/draw/drawDetections.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/drawFaceExpressions.d.ts b/build/src/draw/drawFaceExpressions.d.ts
similarity index 100%
rename from build/draw/drawFaceExpressions.d.ts
rename to build/src/draw/drawFaceExpressions.d.ts
diff --git a/build/src/draw/drawFaceExpressions.d.ts.map b/build/src/draw/drawFaceExpressions.d.ts.map
new file mode 100644
index 0000000..64d7c29
--- /dev/null
+++ b/build/src/draw/drawFaceExpressions.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/drawFaceExpressions.js b/build/src/draw/drawFaceExpressions.js
similarity index 100%
rename from build/draw/drawFaceExpressions.js
rename to build/src/draw/drawFaceExpressions.js
diff --git a/build/src/draw/drawFaceExpressions.js.map b/build/src/draw/drawFaceExpressions.js.map
new file mode 100644
index 0000000..dd4dd39
--- /dev/null
+++ b/build/src/draw/drawFaceExpressions.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/index.d.ts b/build/src/draw/index.d.ts
similarity index 100%
rename from build/draw/index.d.ts
rename to build/src/draw/index.d.ts
diff --git a/build/src/draw/index.d.ts.map b/build/src/draw/index.d.ts.map
new file mode 100644
index 0000000..e1a2d90
--- /dev/null
+++ b/build/src/draw/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/draw/index.js b/build/src/draw/index.js
similarity index 100%
rename from build/draw/index.js
rename to build/src/draw/index.js
diff --git a/build/src/draw/index.js.map b/build/src/draw/index.js.map
new file mode 100644
index 0000000..696792a
--- /dev/null
+++ b/build/src/draw/index.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/env/createBrowserEnv.d.ts b/build/src/env/createBrowserEnv.d.ts
similarity index 100%
rename from build/env/createBrowserEnv.d.ts
rename to build/src/env/createBrowserEnv.d.ts
diff --git a/build/src/env/createBrowserEnv.d.ts.map b/build/src/env/createBrowserEnv.d.ts.map
new file mode 100644
index 0000000..8a0cfb3
--- /dev/null
+++ b/build/src/env/createBrowserEnv.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/env/createBrowserEnv.js b/build/src/env/createBrowserEnv.js
similarity index 100%
rename from build/env/createBrowserEnv.js
rename to build/src/env/createBrowserEnv.js
diff --git a/build/src/env/createBrowserEnv.js.map b/build/src/env/createBrowserEnv.js.map
new file mode 100644
index 0000000..f0d1171
--- /dev/null
+++ b/build/src/env/createBrowserEnv.js.map
@@ -0,0 +1 @@
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diff --git a/build/env/createFileSystem.d.ts b/build/src/env/createFileSystem.d.ts
similarity index 100%
rename from build/env/createFileSystem.d.ts
rename to build/src/env/createFileSystem.d.ts
diff --git a/build/src/env/createFileSystem.d.ts.map b/build/src/env/createFileSystem.d.ts.map
new file mode 100644
index 0000000..0b2f2a0
--- /dev/null
+++ b/build/src/env/createFileSystem.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/env/createFileSystem.js b/build/src/env/createFileSystem.js
similarity index 100%
rename from build/env/createFileSystem.js
rename to build/src/env/createFileSystem.js
diff --git a/build/src/env/createFileSystem.js.map b/build/src/env/createFileSystem.js.map
new file mode 100644
index 0000000..94a8102
--- /dev/null
+++ b/build/src/env/createFileSystem.js.map
@@ -0,0 +1 @@
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diff --git a/build/env/createNodejsEnv.d.ts b/build/src/env/createNodejsEnv.d.ts
similarity index 100%
rename from build/env/createNodejsEnv.d.ts
rename to build/src/env/createNodejsEnv.d.ts
diff --git a/build/src/env/createNodejsEnv.d.ts.map b/build/src/env/createNodejsEnv.d.ts.map
new file mode 100644
index 0000000..daff6c0
--- /dev/null
+++ b/build/src/env/createNodejsEnv.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/env/createNodejsEnv.js b/build/src/env/createNodejsEnv.js
similarity index 100%
rename from build/env/createNodejsEnv.js
rename to build/src/env/createNodejsEnv.js
diff --git a/build/src/env/createNodejsEnv.js.map b/build/src/env/createNodejsEnv.js.map
new file mode 100644
index 0000000..9f0719b
--- /dev/null
+++ b/build/src/env/createNodejsEnv.js.map
@@ -0,0 +1 @@
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diff --git a/build/env/index.d.ts b/build/src/env/index.d.ts
similarity index 100%
rename from build/env/index.d.ts
rename to build/src/env/index.d.ts
diff --git a/build/src/env/index.d.ts.map b/build/src/env/index.d.ts.map
new file mode 100644
index 0000000..10fb8a8
--- /dev/null
+++ b/build/src/env/index.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/env/index.js b/build/src/env/index.js
similarity index 100%
rename from build/env/index.js
rename to build/src/env/index.js
diff --git a/build/src/env/index.js.map b/build/src/env/index.js.map
new file mode 100644
index 0000000..76619a5
--- /dev/null
+++ b/build/src/env/index.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/env/isBrowser.d.ts b/build/src/env/isBrowser.d.ts
similarity index 100%
rename from build/env/isBrowser.d.ts
rename to build/src/env/isBrowser.d.ts
diff --git a/build/src/env/isBrowser.d.ts.map b/build/src/env/isBrowser.d.ts.map
new file mode 100644
index 0000000..d21209a
--- /dev/null
+++ b/build/src/env/isBrowser.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/env/isBrowser.js b/build/src/env/isBrowser.js
similarity index 100%
rename from build/env/isBrowser.js
rename to build/src/env/isBrowser.js
diff --git a/build/src/env/isBrowser.js.map b/build/src/env/isBrowser.js.map
new file mode 100644
index 0000000..731714e
--- /dev/null
+++ b/build/src/env/isBrowser.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/env/isNodejs.d.ts b/build/src/env/isNodejs.d.ts
similarity index 100%
rename from build/env/isNodejs.d.ts
rename to build/src/env/isNodejs.d.ts
diff --git a/build/src/env/isNodejs.d.ts.map b/build/src/env/isNodejs.d.ts.map
new file mode 100644
index 0000000..d748e2e
--- /dev/null
+++ b/build/src/env/isNodejs.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/env/isNodejs.js b/build/src/env/isNodejs.js
similarity index 100%
rename from build/env/isNodejs.js
rename to build/src/env/isNodejs.js
diff --git a/build/src/env/isNodejs.js.map b/build/src/env/isNodejs.js.map
new file mode 100644
index 0000000..4fe9a1d
--- /dev/null
+++ b/build/src/env/isNodejs.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/env/types.d.ts b/build/src/env/types.d.ts
similarity index 100%
rename from build/env/types.d.ts
rename to build/src/env/types.d.ts
diff --git a/build/src/env/types.d.ts.map b/build/src/env/types.d.ts.map
new file mode 100644
index 0000000..3499c3b
--- /dev/null
+++ b/build/src/env/types.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/env/types.js b/build/src/env/types.js
similarity index 100%
rename from build/env/types.js
rename to build/src/env/types.js
diff --git a/build/env/types.js.map b/build/src/env/types.js.map
similarity index 57%
rename from build/env/types.js.map
rename to build/src/env/types.js.map
index 88cd32c..7d4d788 100644
--- a/build/env/types.js.map
+++ b/build/src/env/types.js.map
@@ -1 +1 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../src/env/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
+{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/env/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/euclideanDistance.d.ts b/build/src/euclideanDistance.d.ts
similarity index 100%
rename from build/euclideanDistance.d.ts
rename to build/src/euclideanDistance.d.ts
diff --git a/build/src/euclideanDistance.d.ts.map b/build/src/euclideanDistance.d.ts.map
new file mode 100644
index 0000000..bd29f6f
--- /dev/null
+++ b/build/src/euclideanDistance.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"euclideanDistance.d.ts","sourceRoot":"","sources":["../../src/euclideanDistance.ts"],"names":[],"mappings":"AAAA,wBAAgB,iBAAiB,CAAC,IAAI,EAAE,MAAM,EAAE,GAAG,YAAY,EAAE,IAAI,EAAE,MAAM,EAAE,GAAG,YAAY,UAY7F"}
\ No newline at end of file
diff --git a/build/euclideanDistance.js b/build/src/euclideanDistance.js
similarity index 100%
rename from build/euclideanDistance.js
rename to build/src/euclideanDistance.js
diff --git a/build/src/euclideanDistance.js.map b/build/src/euclideanDistance.js.map
new file mode 100644
index 0000000..6d7dac8
--- /dev/null
+++ b/build/src/euclideanDistance.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceExpressionNet/FaceExpressionNet.d.ts b/build/src/faceExpressionNet/FaceExpressionNet.d.ts
similarity index 100%
rename from build/faceExpressionNet/FaceExpressionNet.d.ts
rename to build/src/faceExpressionNet/FaceExpressionNet.d.ts
diff --git a/build/src/faceExpressionNet/FaceExpressionNet.d.ts.map b/build/src/faceExpressionNet/FaceExpressionNet.d.ts.map
new file mode 100644
index 0000000..d8db61c
--- /dev/null
+++ b/build/src/faceExpressionNet/FaceExpressionNet.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/faceExpressionNet/FaceExpressionNet.js b/build/src/faceExpressionNet/FaceExpressionNet.js
similarity index 100%
rename from build/faceExpressionNet/FaceExpressionNet.js
rename to build/src/faceExpressionNet/FaceExpressionNet.js
diff --git a/build/src/faceExpressionNet/FaceExpressionNet.js.map b/build/src/faceExpressionNet/FaceExpressionNet.js.map
new file mode 100644
index 0000000..346f830
--- /dev/null
+++ b/build/src/faceExpressionNet/FaceExpressionNet.js.map
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diff --git a/build/faceExpressionNet/FaceExpressions.d.ts b/build/src/faceExpressionNet/FaceExpressions.d.ts
similarity index 100%
rename from build/faceExpressionNet/FaceExpressions.d.ts
rename to build/src/faceExpressionNet/FaceExpressions.d.ts
diff --git a/build/src/faceExpressionNet/FaceExpressions.d.ts.map b/build/src/faceExpressionNet/FaceExpressions.d.ts.map
new file mode 100644
index 0000000..9503531
--- /dev/null
+++ b/build/src/faceExpressionNet/FaceExpressions.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/faceExpressionNet/FaceExpressions.js b/build/src/faceExpressionNet/FaceExpressions.js
similarity index 100%
rename from build/faceExpressionNet/FaceExpressions.js
rename to build/src/faceExpressionNet/FaceExpressions.js
diff --git a/build/src/faceExpressionNet/FaceExpressions.js.map b/build/src/faceExpressionNet/FaceExpressions.js.map
new file mode 100644
index 0000000..a27df59
--- /dev/null
+++ b/build/src/faceExpressionNet/FaceExpressions.js.map
@@ -0,0 +1 @@
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diff --git a/build/faceExpressionNet/index.d.ts b/build/src/faceExpressionNet/index.d.ts
similarity index 100%
rename from build/faceExpressionNet/index.d.ts
rename to build/src/faceExpressionNet/index.d.ts
diff --git a/build/src/faceExpressionNet/index.d.ts.map b/build/src/faceExpressionNet/index.d.ts.map
new file mode 100644
index 0000000..cd84016
--- /dev/null
+++ b/build/src/faceExpressionNet/index.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/faceExpressionNet/index.js b/build/src/faceExpressionNet/index.js
similarity index 100%
rename from build/faceExpressionNet/index.js
rename to build/src/faceExpressionNet/index.js
diff --git a/build/src/faceExpressionNet/index.js.map b/build/src/faceExpressionNet/index.js.map
new file mode 100644
index 0000000..4ac1bfc
--- /dev/null
+++ b/build/src/faceExpressionNet/index.js.map
@@ -0,0 +1 @@
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diff --git a/build/faceFeatureExtractor/FaceFeatureExtractor.d.ts b/build/src/faceFeatureExtractor/FaceFeatureExtractor.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/FaceFeatureExtractor.d.ts
rename to build/src/faceFeatureExtractor/FaceFeatureExtractor.d.ts
diff --git a/build/src/faceFeatureExtractor/FaceFeatureExtractor.d.ts.map b/build/src/faceFeatureExtractor/FaceFeatureExtractor.d.ts.map
new file mode 100644
index 0000000..210ea45
--- /dev/null
+++ b/build/src/faceFeatureExtractor/FaceFeatureExtractor.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/faceFeatureExtractor/FaceFeatureExtractor.js b/build/src/faceFeatureExtractor/FaceFeatureExtractor.js
similarity index 100%
rename from build/faceFeatureExtractor/FaceFeatureExtractor.js
rename to build/src/faceFeatureExtractor/FaceFeatureExtractor.js
diff --git a/build/src/faceFeatureExtractor/FaceFeatureExtractor.js.map b/build/src/faceFeatureExtractor/FaceFeatureExtractor.js.map
new file mode 100644
index 0000000..3bad405
--- /dev/null
+++ b/build/src/faceFeatureExtractor/FaceFeatureExtractor.js.map
@@ -0,0 +1 @@
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diff --git a/build/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts b/build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts
rename to build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts
diff --git a/build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts.map b/build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts.map
new file mode 100644
index 0000000..dee3985
--- /dev/null
+++ b/build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/TinyFaceFeatureExtractor.js b/build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.js
similarity index 100%
rename from build/faceFeatureExtractor/TinyFaceFeatureExtractor.js
rename to build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.js
diff --git a/build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map b/build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map
new file mode 100644
index 0000000..1790610
--- /dev/null
+++ b/build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/denseBlock.d.ts b/build/src/faceFeatureExtractor/denseBlock.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/denseBlock.d.ts
rename to build/src/faceFeatureExtractor/denseBlock.d.ts
diff --git a/build/src/faceFeatureExtractor/denseBlock.d.ts.map b/build/src/faceFeatureExtractor/denseBlock.d.ts.map
new file mode 100644
index 0000000..f46c2c5
--- /dev/null
+++ b/build/src/faceFeatureExtractor/denseBlock.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/denseBlock.js b/build/src/faceFeatureExtractor/denseBlock.js
similarity index 100%
rename from build/faceFeatureExtractor/denseBlock.js
rename to build/src/faceFeatureExtractor/denseBlock.js
diff --git a/build/src/faceFeatureExtractor/denseBlock.js.map b/build/src/faceFeatureExtractor/denseBlock.js.map
new file mode 100644
index 0000000..69ef1ac
--- /dev/null
+++ b/build/src/faceFeatureExtractor/denseBlock.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParams.d.ts b/build/src/faceFeatureExtractor/extractParams.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/extractParams.d.ts
rename to build/src/faceFeatureExtractor/extractParams.d.ts
diff --git a/build/src/faceFeatureExtractor/extractParams.d.ts.map b/build/src/faceFeatureExtractor/extractParams.d.ts.map
new file mode 100644
index 0000000..1ee08a8
--- /dev/null
+++ b/build/src/faceFeatureExtractor/extractParams.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParams.js b/build/src/faceFeatureExtractor/extractParams.js
similarity index 100%
rename from build/faceFeatureExtractor/extractParams.js
rename to build/src/faceFeatureExtractor/extractParams.js
diff --git a/build/src/faceFeatureExtractor/extractParams.js.map b/build/src/faceFeatureExtractor/extractParams.js.map
new file mode 100644
index 0000000..ea12d4d
--- /dev/null
+++ b/build/src/faceFeatureExtractor/extractParams.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts b/build/src/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts
rename to build/src/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts
diff --git a/build/src/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts.map b/build/src/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts.map
new file mode 100644
index 0000000..18c084c
--- /dev/null
+++ b/build/src/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParamsFromWeigthMap.js b/build/src/faceFeatureExtractor/extractParamsFromWeigthMap.js
similarity index 100%
rename from build/faceFeatureExtractor/extractParamsFromWeigthMap.js
rename to build/src/faceFeatureExtractor/extractParamsFromWeigthMap.js
diff --git a/build/src/faceFeatureExtractor/extractParamsFromWeigthMap.js.map b/build/src/faceFeatureExtractor/extractParamsFromWeigthMap.js.map
new file mode 100644
index 0000000..0da0744
--- /dev/null
+++ b/build/src/faceFeatureExtractor/extractParamsFromWeigthMap.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts b/build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts
rename to build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts
diff --git a/build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts.map b/build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts.map
new file mode 100644
index 0000000..81d5ff8
--- /dev/null
+++ b/build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js b/build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
similarity index 100%
rename from build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
rename to build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
diff --git a/build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map b/build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map
new file mode 100644
index 0000000..599c2e8
--- /dev/null
+++ b/build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParamsTiny.d.ts b/build/src/faceFeatureExtractor/extractParamsTiny.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/extractParamsTiny.d.ts
rename to build/src/faceFeatureExtractor/extractParamsTiny.d.ts
diff --git a/build/src/faceFeatureExtractor/extractParamsTiny.d.ts.map b/build/src/faceFeatureExtractor/extractParamsTiny.d.ts.map
new file mode 100644
index 0000000..077a543
--- /dev/null
+++ b/build/src/faceFeatureExtractor/extractParamsTiny.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractParamsTiny.js b/build/src/faceFeatureExtractor/extractParamsTiny.js
similarity index 100%
rename from build/faceFeatureExtractor/extractParamsTiny.js
rename to build/src/faceFeatureExtractor/extractParamsTiny.js
diff --git a/build/src/faceFeatureExtractor/extractParamsTiny.js.map b/build/src/faceFeatureExtractor/extractParamsTiny.js.map
new file mode 100644
index 0000000..f2f16f9
--- /dev/null
+++ b/build/src/faceFeatureExtractor/extractParamsTiny.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractorsFactory.d.ts b/build/src/faceFeatureExtractor/extractorsFactory.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/extractorsFactory.d.ts
rename to build/src/faceFeatureExtractor/extractorsFactory.d.ts
diff --git a/build/src/faceFeatureExtractor/extractorsFactory.d.ts.map b/build/src/faceFeatureExtractor/extractorsFactory.d.ts.map
new file mode 100644
index 0000000..2e2b54a
--- /dev/null
+++ b/build/src/faceFeatureExtractor/extractorsFactory.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/extractorsFactory.js b/build/src/faceFeatureExtractor/extractorsFactory.js
similarity index 100%
rename from build/faceFeatureExtractor/extractorsFactory.js
rename to build/src/faceFeatureExtractor/extractorsFactory.js
diff --git a/build/src/faceFeatureExtractor/extractorsFactory.js.map b/build/src/faceFeatureExtractor/extractorsFactory.js.map
new file mode 100644
index 0000000..f6940db
--- /dev/null
+++ b/build/src/faceFeatureExtractor/extractorsFactory.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/index.d.ts b/build/src/faceFeatureExtractor/index.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/index.d.ts
rename to build/src/faceFeatureExtractor/index.d.ts
diff --git a/build/src/faceFeatureExtractor/index.d.ts.map b/build/src/faceFeatureExtractor/index.d.ts.map
new file mode 100644
index 0000000..39c2d8e
--- /dev/null
+++ b/build/src/faceFeatureExtractor/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceFeatureExtractor/index.js b/build/src/faceFeatureExtractor/index.js
similarity index 100%
rename from build/faceFeatureExtractor/index.js
rename to build/src/faceFeatureExtractor/index.js
diff --git a/build/src/faceFeatureExtractor/index.js.map b/build/src/faceFeatureExtractor/index.js.map
new file mode 100644
index 0000000..431d20b
--- /dev/null
+++ b/build/src/faceFeatureExtractor/index.js.map
@@ -0,0 +1 @@
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diff --git a/build/faceFeatureExtractor/loadParamsFactory.d.ts b/build/src/faceFeatureExtractor/loadParamsFactory.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/loadParamsFactory.d.ts
rename to build/src/faceFeatureExtractor/loadParamsFactory.d.ts
diff --git a/build/src/faceFeatureExtractor/loadParamsFactory.d.ts.map b/build/src/faceFeatureExtractor/loadParamsFactory.d.ts.map
new file mode 100644
index 0000000..01e282c
--- /dev/null
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diff --git a/build/faceFeatureExtractor/loadParamsFactory.js b/build/src/faceFeatureExtractor/loadParamsFactory.js
similarity index 100%
rename from build/faceFeatureExtractor/loadParamsFactory.js
rename to build/src/faceFeatureExtractor/loadParamsFactory.js
diff --git a/build/src/faceFeatureExtractor/loadParamsFactory.js.map b/build/src/faceFeatureExtractor/loadParamsFactory.js.map
new file mode 100644
index 0000000..b46c078
--- /dev/null
+++ b/build/src/faceFeatureExtractor/loadParamsFactory.js.map
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diff --git a/build/faceFeatureExtractor/types.d.ts b/build/src/faceFeatureExtractor/types.d.ts
similarity index 100%
rename from build/faceFeatureExtractor/types.d.ts
rename to build/src/faceFeatureExtractor/types.d.ts
diff --git a/build/src/faceFeatureExtractor/types.d.ts.map b/build/src/faceFeatureExtractor/types.d.ts.map
new file mode 100644
index 0000000..c7c1bf8
--- /dev/null
+++ b/build/src/faceFeatureExtractor/types.d.ts.map
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diff --git a/build/faceFeatureExtractor/types.js b/build/src/faceFeatureExtractor/types.js
similarity index 100%
rename from build/faceFeatureExtractor/types.js
rename to build/src/faceFeatureExtractor/types.js
diff --git a/build/src/faceFeatureExtractor/types.js.map b/build/src/faceFeatureExtractor/types.js.map
new file mode 100644
index 0000000..d4dd37d
--- /dev/null
+++ b/build/src/faceFeatureExtractor/types.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceLandmarkNet/FaceLandmark68Net.d.ts b/build/src/faceLandmarkNet/FaceLandmark68Net.d.ts
similarity index 100%
rename from build/faceLandmarkNet/FaceLandmark68Net.d.ts
rename to build/src/faceLandmarkNet/FaceLandmark68Net.d.ts
diff --git a/build/src/faceLandmarkNet/FaceLandmark68Net.d.ts.map b/build/src/faceLandmarkNet/FaceLandmark68Net.d.ts.map
new file mode 100644
index 0000000..7d430bf
--- /dev/null
+++ b/build/src/faceLandmarkNet/FaceLandmark68Net.d.ts.map
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diff --git a/build/faceLandmarkNet/FaceLandmark68Net.js b/build/src/faceLandmarkNet/FaceLandmark68Net.js
similarity index 100%
rename from build/faceLandmarkNet/FaceLandmark68Net.js
rename to build/src/faceLandmarkNet/FaceLandmark68Net.js
diff --git a/build/src/faceLandmarkNet/FaceLandmark68Net.js.map b/build/src/faceLandmarkNet/FaceLandmark68Net.js.map
new file mode 100644
index 0000000..d084878
--- /dev/null
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diff --git a/build/faceLandmarkNet/FaceLandmark68NetBase.d.ts b/build/src/faceLandmarkNet/FaceLandmark68NetBase.d.ts
similarity index 100%
rename from build/faceLandmarkNet/FaceLandmark68NetBase.d.ts
rename to build/src/faceLandmarkNet/FaceLandmark68NetBase.d.ts
diff --git a/build/src/faceLandmarkNet/FaceLandmark68NetBase.d.ts.map b/build/src/faceLandmarkNet/FaceLandmark68NetBase.d.ts.map
new file mode 100644
index 0000000..b55e949
--- /dev/null
+++ b/build/src/faceLandmarkNet/FaceLandmark68NetBase.d.ts.map
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diff --git a/build/faceLandmarkNet/FaceLandmark68NetBase.js b/build/src/faceLandmarkNet/FaceLandmark68NetBase.js
similarity index 100%
rename from build/faceLandmarkNet/FaceLandmark68NetBase.js
rename to build/src/faceLandmarkNet/FaceLandmark68NetBase.js
diff --git a/build/src/faceLandmarkNet/FaceLandmark68NetBase.js.map b/build/src/faceLandmarkNet/FaceLandmark68NetBase.js.map
new file mode 100644
index 0000000..74fe78a
--- /dev/null
+++ b/build/src/faceLandmarkNet/FaceLandmark68NetBase.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceLandmarkNet/FaceLandmark68TinyNet.d.ts b/build/src/faceLandmarkNet/FaceLandmark68TinyNet.d.ts
similarity index 100%
rename from build/faceLandmarkNet/FaceLandmark68TinyNet.d.ts
rename to build/src/faceLandmarkNet/FaceLandmark68TinyNet.d.ts
diff --git a/build/src/faceLandmarkNet/FaceLandmark68TinyNet.d.ts.map b/build/src/faceLandmarkNet/FaceLandmark68TinyNet.d.ts.map
new file mode 100644
index 0000000..fcdb8e5
--- /dev/null
+++ b/build/src/faceLandmarkNet/FaceLandmark68TinyNet.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/faceLandmarkNet/FaceLandmark68TinyNet.js b/build/src/faceLandmarkNet/FaceLandmark68TinyNet.js
similarity index 100%
rename from build/faceLandmarkNet/FaceLandmark68TinyNet.js
rename to build/src/faceLandmarkNet/FaceLandmark68TinyNet.js
diff --git a/build/src/faceLandmarkNet/FaceLandmark68TinyNet.js.map b/build/src/faceLandmarkNet/FaceLandmark68TinyNet.js.map
new file mode 100644
index 0000000..b759a1c
--- /dev/null
+++ b/build/src/faceLandmarkNet/FaceLandmark68TinyNet.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"FaceLandmark68TinyNet.js","sourceRoot":"","sources":["../../../src/faceLandmarkNet/FaceLandmark68TinyNet.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,wBAAwB,EAAE,MAAM,kDAAkD,CAAC;AAE5F,OAAO,EAAE,qBAAqB,EAAE,MAAM,yBAAyB,CAAC;AAEhE,MAAM,OAAO,qBAAsB,SAAQ,qBAAqD;IAE9F,YAAY,uBAAiD,IAAI,wBAAwB,EAAE;QACzF,KAAK,CAAC,uBAAuB,EAAE,oBAAoB,CAAC,CAAA;IACtD,CAAC;IAES,mBAAmB;QAC3B,OAAO,6BAA6B,CAAA;IACtC,CAAC;IAES,uBAAuB;QAC/B,OAAO,GAAG,CAAA;IACZ,CAAC;CACF"}
\ No newline at end of file
diff --git a/build/faceLandmarkNet/index.d.ts b/build/src/faceLandmarkNet/index.d.ts
similarity index 100%
rename from build/faceLandmarkNet/index.d.ts
rename to build/src/faceLandmarkNet/index.d.ts
diff --git a/build/src/faceLandmarkNet/index.d.ts.map b/build/src/faceLandmarkNet/index.d.ts.map
new file mode 100644
index 0000000..1bbe0f3
--- /dev/null
+++ b/build/src/faceLandmarkNet/index.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../../../src/faceLandmarkNet/index.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,iBAAiB,EAAE,MAAM,qBAAqB,CAAC;AAExD,cAAc,qBAAqB,CAAC;AACpC,cAAc,yBAAyB,CAAC;AAExC,qBAAa,eAAgB,SAAQ,iBAAiB;CAAG"}
\ No newline at end of file
diff --git a/build/faceLandmarkNet/index.js b/build/src/faceLandmarkNet/index.js
similarity index 100%
rename from build/faceLandmarkNet/index.js
rename to build/src/faceLandmarkNet/index.js
diff --git a/build/src/faceLandmarkNet/index.js.map b/build/src/faceLandmarkNet/index.js.map
new file mode 100644
index 0000000..20a6599
--- /dev/null
+++ b/build/src/faceLandmarkNet/index.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceLandmarkNet/index.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,iBAAiB,EAAE,MAAM,qBAAqB,CAAC;AAExD,cAAc,qBAAqB,CAAC;AACpC,cAAc,yBAAyB,CAAC;AAExC,MAAM,OAAO,eAAgB,SAAQ,iBAAiB;CAAG"}
\ No newline at end of file
diff --git a/build/faceProcessor/FaceProcessor.d.ts b/build/src/faceProcessor/FaceProcessor.d.ts
similarity index 100%
rename from build/faceProcessor/FaceProcessor.d.ts
rename to build/src/faceProcessor/FaceProcessor.d.ts
diff --git a/build/src/faceProcessor/FaceProcessor.d.ts.map b/build/src/faceProcessor/FaceProcessor.d.ts.map
new file mode 100644
index 0000000..06600de
--- /dev/null
+++ b/build/src/faceProcessor/FaceProcessor.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"FaceProcessor.d.ts","sourceRoot":"","sources":["../../../src/faceProcessor/FaceProcessor.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAG5C,OAAO,EAAE,QAAQ,EAAE,MAAM,QAAQ,CAAC;AAClC,OAAO,EACL,0BAA0B,EAC1B,qBAAqB,EACrB,8BAA8B,EAC/B,MAAM,+BAA+B,CAAC;AACvC,OAAO,EAAE,aAAa,EAAE,MAAM,kBAAkB,CAAC;AAGjD,OAAO,EAAE,SAAS,EAAE,MAAM,SAAS,CAAC;AAGpC,8BAAsB,aAAa,CACjC,gBAAgB,SAAS,0BAA0B,GAAG,8BAA8B,CAEpF,SAAQ,aAAa,CAAC,SAAS,CAAC;IAEhC,SAAS,CAAC,qBAAqB,EAAE,qBAAqB,CAAC,gBAAgB,CAAC,CAAA;gBAE5D,KAAK,EAAE,MAAM,EAAE,oBAAoB,EAAE,qBAAqB,CAAC,gBAAgB,CAAC;IAKxF,IAAW,oBAAoB,IAAI,qBAAqB,CAAC,gBAAgB,CAAC,CAEzE;IAED,SAAS,CAAC,QAAQ,CAAC,mBAAmB,IAAI,MAAM;IAChD,SAAS,CAAC,QAAQ,CAAC,uBAAuB,IAAI,MAAM;IACpD,SAAS,CAAC,QAAQ,CAAC,wBAAwB,IAAI,MAAM;IAE9C,MAAM,CAAC,KAAK,EAAE,QAAQ,GAAG,EAAE,CAAC,QAAQ,GAAG,EAAE,CAAC,QAAQ;IAgBlD,OAAO,CAAC,gBAAgB,GAAE,OAAc;IAKxC,oBAAoB,CAAC,OAAO,EAAE,YAAY;IAM1C,uBAAuB,CAAC,OAAO,EAAE,YAAY;;;;IAIpD,SAAS,CAAC,0BAA0B,CAAC,SAAS,EAAE,EAAE,CAAC,cAAc;;;;IASjE,SAAS,CAAC,aAAa,CAAC,OAAO,EAAE,YAAY;;;;CAY9C"}
\ No newline at end of file
diff --git a/build/faceProcessor/FaceProcessor.js b/build/src/faceProcessor/FaceProcessor.js
similarity index 100%
rename from build/faceProcessor/FaceProcessor.js
rename to build/src/faceProcessor/FaceProcessor.js
diff --git a/build/src/faceProcessor/FaceProcessor.js.map b/build/src/faceProcessor/FaceProcessor.js.map
new file mode 100644
index 0000000..c73cb8f
--- /dev/null
+++ b/build/src/faceProcessor/FaceProcessor.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"FaceProcessor.js","sourceRoot":"","sources":["../../../src/faceProcessor/FaceProcessor.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,mBAAmB,EAAE,MAAM,+BAA+B,CAAC;AACpE,OAAO,EAAE,QAAQ,EAAE,MAAM,QAAQ,CAAC;AAMlC,OAAO,EAAE,aAAa,EAAE,MAAM,kBAAkB,CAAC;AACjD,OAAO,EAAE,aAAa,EAAE,MAAM,iBAAiB,CAAC;AAChD,OAAO,EAAE,0BAA0B,EAAE,MAAM,8BAA8B,CAAC;AAE1E,OAAO,EAAE,kBAAkB,EAAE,MAAM,QAAQ,CAAC;AAE5C,MAAM,OAAgB,aAGpB,SAAQ,aAAwB;IAIhC,YAAY,KAAa,EAAE,oBAA6D;QACtF,KAAK,CAAC,KAAK,CAAC,CAAA;QACZ,IAAI,CAAC,qBAAqB,GAAG,oBAAoB,CAAA;IACnD,CAAC;IAED,IAAW,oBAAoB;QAC7B,OAAO,IAAI,CAAC,qBAAqB,CAAA;IACnC,CAAC;IAMM,MAAM,CAAC,KAA6B;QAEzC,MAAM,EAAE,MAAM,EAAE,GAAG,IAAI,CAAA;QAEvB,IAAI,CAAC,MAAM,EAAE;YACX,MAAM,IAAI,KAAK,CAAC,GAAG,IAAI,CAAC,KAAK,gCAAgC,CAAC,CAAA;SAC/D;QAED,OAAO,EAAE,CAAC,IAAI,CAAC,GAAG,EAAE;YAClB,MAAM,kBAAkB,GAAG,KAAK,YAAY,QAAQ;gBAClD,CAAC,CAAC,IAAI,CAAC,oBAAoB,CAAC,YAAY,CAAC,KAAK,CAAC;gBAC/C,CAAC,CAAC,KAAK,CAAA;YACT,OAAO,mBAAmB,CAAC,kBAAkB,CAAC,IAAI,CAAC,kBAAkB,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,CAAC,CAAA;QACjG,CAAC,CAAC,CAAA;IACJ,CAAC;IAEM,OAAO,CAAC,mBAA4B,IAAI;QAC7C,IAAI,CAAC,oBAAoB,CAAC,OAAO,CAAC,gBAAgB,CAAC,CAAA;QACnD,KAAK,CAAC,OAAO,CAAC,gBAAgB,CAAC,CAAA;IACjC,CAAC;IAEM,oBAAoB,CAAC,OAAqB;QAC/C,MAAM,EAAE,MAAM,EAAE,aAAa,EAAE,GAAG,IAAI,CAAC,uBAAuB,CAAC,OAAO,CAAC,CAAA;QACvE,IAAI,CAAC,OAAO,GAAG,MAAM,CAAA;QACrB,IAAI,CAAC,cAAc,GAAG,aAAa,CAAA;IACrC,CAAC;IAEM,uBAAuB,CAAC,OAAqB;QAClD,OAAO,aAAa,CAAC,OAAO,EAAE,IAAI,CAAC,uBAAuB,EAAE,EAAE,IAAI,CAAC,wBAAwB,EAAE,CAAC,CAAA;IAChG,CAAC;IAES,0BAA0B,CAAC,SAA4B;QAE/D,MAAM,EAAE,mBAAmB,EAAE,aAAa,EAAE,GAAG,kBAAkB,CAAC,SAAS,CAAC,CAAA;QAE5E,IAAI,CAAC,oBAAoB,CAAC,iBAAiB,CAAC,mBAAmB,CAAC,CAAA;QAEhE,OAAO,0BAA0B,CAAC,aAAa,CAAC,CAAA;IAClD,CAAC;IAES,aAAa,CAAC,OAAqB;QAE3C,MAAM,GAAG,GAAG,IAAI,CAAC,uBAAuB,EAAE,CAAA;QAC1C,MAAM,IAAI,GAAG,IAAI,CAAC,wBAAwB,EAAE,CAAA;QAC5C,MAAM,oBAAoB,GAAG,CAAC,IAAI,GAAG,GAAG,CAAE,GAAG,IAAI,CAAA;QAEjD,MAAM,uBAAuB,GAAG,OAAO,CAAC,KAAK,CAAC,CAAC,EAAE,OAAO,CAAC,MAAM,GAAG,oBAAoB,CAAC,CAAA;QACvF,MAAM,iBAAiB,GAAG,OAAO,CAAC,KAAK,CAAC,OAAO,CAAC,MAAM,GAAG,oBAAoB,CAAC,CAAA;QAE9E,IAAI,CAAC,oBAAoB,CAAC,cAAc,CAAC,uBAAuB,CAAC,CAAA;QACjE,OAAO,IAAI,CAAC,uBAAuB,CAAC,iBAAiB,CAAC,CAAA;IACxD,CAAC;CACF"}
\ No newline at end of file
diff --git a/build/faceProcessor/extractParams.d.ts b/build/src/faceProcessor/extractParams.d.ts
similarity index 100%
rename from build/faceProcessor/extractParams.d.ts
rename to build/src/faceProcessor/extractParams.d.ts
diff --git a/build/src/faceProcessor/extractParams.d.ts.map b/build/src/faceProcessor/extractParams.d.ts.map
new file mode 100644
index 0000000..c2fecb8
--- /dev/null
+++ b/build/src/faceProcessor/extractParams.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"extractParams.d.ts","sourceRoot":"","sources":["../../../src/faceProcessor/extractParams.ts"],"names":[],"mappings":"AAAA,OAAO,EAAiD,YAAY,EAAE,MAAM,WAAW,CAAC;AACxF,OAAO,EAAE,SAAS,EAAE,MAAM,SAAS,CAAC;AAEpC,wBAAgB,aAAa,CAAC,OAAO,EAAE,YAAY,EAAE,UAAU,EAAE,MAAM,EAAE,WAAW,EAAE,MAAM,GAAG;IAAE,MAAM,EAAE,SAAS,CAAC;IAAC,aAAa,EAAE,YAAY,EAAE,CAAA;CAAE,CAqBlJ"}
\ No newline at end of file
diff --git a/build/faceProcessor/extractParams.js b/build/src/faceProcessor/extractParams.js
similarity index 100%
rename from build/faceProcessor/extractParams.js
rename to build/src/faceProcessor/extractParams.js
diff --git a/build/src/faceProcessor/extractParams.js.map b/build/src/faceProcessor/extractParams.js.map
new file mode 100644
index 0000000..078140f
--- /dev/null
+++ b/build/src/faceProcessor/extractParams.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceProcessor/extractParams.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,sBAAsB,EAAE,qBAAqB,EAAgB,MAAM,WAAW,CAAC;AAGxF,MAAM,UAAU,aAAa,CAAC,OAAqB,EAAE,UAAkB,EAAE,WAAmB;IAE1F,MAAM,aAAa,GAAmB,EAAE,CAAA;IAExC,MAAM,EACJ,cAAc,EACd,mBAAmB,EACpB,GAAG,qBAAqB,CAAC,OAAO,CAAC,CAAA;IAElC,MAAM,eAAe,GAAG,sBAAsB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAE7E,MAAM,EAAE,GAAG,eAAe,CAAC,UAAU,EAAE,WAAW,EAAE,IAAI,CAAC,CAAA;IAEzD,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,kCAAkC,mBAAmB,EAAE,CAAC,MAAM,EAAE,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa;QACb,MAAM,EAAE,EAAE,EAAE,EAAE;KACf,CAAA;AACH,CAAC"}
\ No newline at end of file
diff --git a/build/faceProcessor/extractParamsFromWeigthMap.d.ts b/build/src/faceProcessor/extractParamsFromWeigthMap.d.ts
similarity index 100%
rename from build/faceProcessor/extractParamsFromWeigthMap.d.ts
rename to build/src/faceProcessor/extractParamsFromWeigthMap.d.ts
diff --git a/build/src/faceProcessor/extractParamsFromWeigthMap.d.ts.map b/build/src/faceProcessor/extractParamsFromWeigthMap.d.ts.map
new file mode 100644
index 0000000..b603178
--- /dev/null
+++ b/build/src/faceProcessor/extractParamsFromWeigthMap.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"extractParamsFromWeigthMap.d.ts","sourceRoot":"","sources":["../../../src/faceProcessor/extractParamsFromWeigthMap.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAmE,YAAY,EAAE,MAAM,WAAW,CAAC;AAC1G,OAAO,EAAE,SAAS,EAAE,MAAM,SAAS,CAAC;AAEpC,wBAAgB,0BAA0B,CACxC,SAAS,EAAE,EAAE,CAAC,cAAc,GAC3B;IAAE,MAAM,EAAE,SAAS,CAAC;IAAC,aAAa,EAAE,YAAY,EAAE,CAAA;CAAE,CAmBtD"}
\ No newline at end of file
diff --git a/build/faceProcessor/extractParamsFromWeigthMap.js b/build/src/faceProcessor/extractParamsFromWeigthMap.js
similarity index 100%
rename from build/faceProcessor/extractParamsFromWeigthMap.js
rename to build/src/faceProcessor/extractParamsFromWeigthMap.js
diff --git a/build/src/faceProcessor/extractParamsFromWeigthMap.js.map b/build/src/faceProcessor/extractParamsFromWeigthMap.js.map
new file mode 100644
index 0000000..3383d82
--- /dev/null
+++ b/build/src/faceProcessor/extractParamsFromWeigthMap.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/faceProcessor/extractParamsFromWeigthMap.ts"],"names":[],"mappings":"AAEA,OAAO,EAAE,0BAA0B,EAAE,yBAAyB,EAA0B,MAAM,WAAW,CAAC;AAG1G,MAAM,UAAU,0BAA0B,CACxC,SAA4B;IAG5B,MAAM,aAAa,GAAmB,EAAE,CAAA;IAExC,MAAM,kBAAkB,GAAG,yBAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE9E,SAAS,eAAe,CAAC,MAAc;QACrC,MAAM,OAAO,GAAG,kBAAkB,CAAc,GAAG,MAAM,UAAU,EAAE,CAAC,CAAC,CAAA;QACvE,MAAM,IAAI,GAAG,kBAAkB,CAAc,GAAG,MAAM,OAAO,EAAE,CAAC,CAAC,CAAA;QACjE,OAAO,EAAE,OAAO,EAAE,IAAI,EAAE,CAAA;IAC1B,CAAC;IAED,MAAM,MAAM,GAAG;QACb,EAAE,EAAE,eAAe,CAAC,IAAI,CAAC;KAC1B,CAAA;IAED,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEpD,OAAO,EAAE,MAAM,EAAE,aAAa,EAAE,CAAA;AAClC,CAAC"}
\ No newline at end of file
diff --git a/build/faceProcessor/index.d.ts b/build/src/faceProcessor/index.d.ts
similarity index 100%
rename from build/faceProcessor/index.d.ts
rename to build/src/faceProcessor/index.d.ts
diff --git a/build/src/faceProcessor/index.d.ts.map b/build/src/faceProcessor/index.d.ts.map
new file mode 100644
index 0000000..2128214
--- /dev/null
+++ b/build/src/faceProcessor/index.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../../../src/faceProcessor/index.ts"],"names":[],"mappings":"AAAA,cAAc,iBAAiB,CAAC"}
\ No newline at end of file
diff --git a/build/faceProcessor/index.js b/build/src/faceProcessor/index.js
similarity index 100%
rename from build/faceProcessor/index.js
rename to build/src/faceProcessor/index.js
diff --git a/build/src/faceProcessor/index.js.map b/build/src/faceProcessor/index.js.map
new file mode 100644
index 0000000..41e3704
--- /dev/null
+++ b/build/src/faceProcessor/index.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceProcessor/index.ts"],"names":[],"mappings":"AAAA,cAAc,iBAAiB,CAAC"}
\ No newline at end of file
diff --git a/build/faceProcessor/types.d.ts b/build/src/faceProcessor/types.d.ts
similarity index 100%
rename from build/faceProcessor/types.d.ts
rename to build/src/faceProcessor/types.d.ts
diff --git a/build/src/faceProcessor/types.d.ts.map b/build/src/faceProcessor/types.d.ts.map
new file mode 100644
index 0000000..bac1c7d
--- /dev/null
+++ b/build/src/faceProcessor/types.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"types.d.ts","sourceRoot":"","sources":["../../../src/faceProcessor/types.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,QAAQ,EAAE,MAAM,WAAW,CAAC;AAErC,oBAAY,SAAS,GAAG;IACtB,EAAE,EAAE,QAAQ,CAAA;CACb,CAAA"}
\ No newline at end of file
diff --git a/build/faceProcessor/types.js b/build/src/faceProcessor/types.js
similarity index 100%
rename from build/faceProcessor/types.js
rename to build/src/faceProcessor/types.js
diff --git a/build/src/faceProcessor/types.js.map b/build/src/faceProcessor/types.js.map
new file mode 100644
index 0000000..42a7693
--- /dev/null
+++ b/build/src/faceProcessor/types.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/faceProcessor/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/faceProcessor/util.d.ts b/build/src/faceProcessor/util.d.ts
similarity index 100%
rename from build/faceProcessor/util.d.ts
rename to build/src/faceProcessor/util.d.ts
diff --git a/build/src/faceProcessor/util.d.ts.map b/build/src/faceProcessor/util.d.ts.map
new file mode 100644
index 0000000..bf2d02f
--- /dev/null
+++ b/build/src/faceProcessor/util.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"util.d.ts","sourceRoot":"","sources":["../../../src/faceProcessor/util.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,wBAAgB,kBAAkB,CAAC,SAAS,EAAE,EAAE,CAAC,cAAc;;;EAY9D"}
\ No newline at end of file
diff --git a/build/faceProcessor/util.js b/build/src/faceProcessor/util.js
similarity index 100%
rename from build/faceProcessor/util.js
rename to build/src/faceProcessor/util.js
diff --git a/build/src/faceProcessor/util.js.map b/build/src/faceProcessor/util.js.map
new file mode 100644
index 0000000..3ba9927
--- /dev/null
+++ b/build/src/faceProcessor/util.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"util.js","sourceRoot":"","sources":["../../../src/faceProcessor/util.ts"],"names":[],"mappings":"AAEA,MAAM,UAAU,kBAAkB,CAAC,SAA4B;IAE7D,MAAM,mBAAmB,GAAsB,EAAE,CAAA;IACjD,MAAM,aAAa,GAAsB,EAAE,CAAA;IAE3C,MAAM,CAAC,IAAI,CAAC,SAAS,CAAC,CAAC,OAAO,CAAC,GAAG,CAAC,EAAE;QACnC,MAAM,GAAG,GAAG,GAAG,CAAC,UAAU,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,aAAa,CAAC,CAAC,CAAC,mBAAmB,CAAA;QACtE,GAAG,CAAC,GAAG,CAAC,GAAG,SAAS,CAAC,GAAG,CAAC,CAAA;IAC3B,CAAC,CAAC,CAAA;IAEF,OAAO,EAAE,mBAAmB,EAAE,aAAa,EAAE,CAAA;AAE/C,CAAC"}
\ No newline at end of file
diff --git a/build/faceRecognitionNet/FaceRecognitionNet.d.ts b/build/src/faceRecognitionNet/FaceRecognitionNet.d.ts
similarity index 100%
rename from build/faceRecognitionNet/FaceRecognitionNet.d.ts
rename to build/src/faceRecognitionNet/FaceRecognitionNet.d.ts
diff --git a/build/src/faceRecognitionNet/FaceRecognitionNet.d.ts.map b/build/src/faceRecognitionNet/FaceRecognitionNet.d.ts.map
new file mode 100644
index 0000000..64cbb6e
--- /dev/null
+++ b/build/src/faceRecognitionNet/FaceRecognitionNet.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"FaceRecognitionNet.d.ts","sourceRoot":"","sources":["../../../src/faceRecognitionNet/FaceRecognitionNet.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,QAAQ,EAAE,SAAS,EAAc,MAAM,QAAQ,CAAC;AACzD,OAAO,EAAE,aAAa,EAAE,MAAM,kBAAkB,CAAC;AAMjD,OAAO,EAAE,SAAS,EAAE,MAAM,SAAS,CAAC;AAGpC,qBAAa,kBAAmB,SAAQ,aAAa,CAAC,SAAS,CAAC;;IAMvD,YAAY,CAAC,KAAK,EAAE,QAAQ,GAAG,EAAE,CAAC,QAAQ;IA2CpC,OAAO,CAAC,KAAK,EAAE,SAAS,GAAG,OAAO,CAAC,EAAE,CAAC,QAAQ,CAAC;IAI/C,qBAAqB,CAAC,KAAK,EAAE,SAAS,GAAG,OAAO,CAAC,YAAY,GAAC,YAAY,EAAE,CAAC;IAkB1F,SAAS,CAAC,mBAAmB,IAAI,MAAM;IAIvC,SAAS,CAAC,0BAA0B,CAAC,SAAS,EAAE,EAAE,CAAC,cAAc;;;;IAIjE,SAAS,CAAC,aAAa,CAAC,OAAO,EAAE,YAAY;;;;CAG9C"}
\ No newline at end of file
diff --git a/build/faceRecognitionNet/FaceRecognitionNet.js b/build/src/faceRecognitionNet/FaceRecognitionNet.js
similarity index 92%
rename from build/faceRecognitionNet/FaceRecognitionNet.js
rename to build/src/faceRecognitionNet/FaceRecognitionNet.js
index f283492..02f4dc6 100644
--- a/build/faceRecognitionNet/FaceRecognitionNet.js
+++ b/build/src/faceRecognitionNet/FaceRecognitionNet.js
@@ -16,7 +16,8 @@ export class FaceRecognitionNet extends NeuralNetwork {
             throw new Error('FaceRecognitionNet - load model before inference');
         }
         return tf.tidy(() => {
-            const batchTensor = input.toBatchTensor(150, true).toFloat();
+            // const batchTensor = input.toBatchTensor(150, true).toFloat()
+            const batchTensor = tf.cast(input.toBatchTensor(150, true), 'float32');
             const meanRgb = [122.782, 117.001, 104.298];
             const normalized = normalize(batchTensor, meanRgb).div(tf.scalar(256));
             let out = convDown(normalized, params.conv32_down);
diff --git a/build/src/faceRecognitionNet/FaceRecognitionNet.js.map b/build/src/faceRecognitionNet/FaceRecognitionNet.js.map
new file mode 100644
index 0000000..c48996c
--- /dev/null
+++ b/build/src/faceRecognitionNet/FaceRecognitionNet.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"FaceRecognitionNet.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/FaceRecognitionNet.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAuB,UAAU,EAAE,MAAM,QAAQ,CAAC;AACzD,OAAO,EAAE,aAAa,EAAE,MAAM,kBAAkB,CAAC;AACjD,OAAO,EAAE,SAAS,EAAE,MAAM,QAAQ,CAAC;AACnC,OAAO,EAAE,QAAQ,EAAE,MAAM,aAAa,CAAC;AACvC,OAAO,EAAE,aAAa,EAAE,MAAM,iBAAiB,CAAC;AAChD,OAAO,EAAE,0BAA0B,EAAE,MAAM,8BAA8B,CAAC;AAC1E,OAAO,EAAE,QAAQ,EAAE,YAAY,EAAE,MAAM,iBAAiB,CAAC;AAIzD,MAAM,OAAO,kBAAmB,SAAQ,aAAwB;IAE9D;QACE,KAAK,CAAC,oBAAoB,CAAC,CAAA;IAC7B,CAAC;IAEM,YAAY,CAAC,KAAe;QAEjC,MAAM,EAAE,MAAM,EAAE,GAAG,IAAI,CAAA;QAEvB,IAAI,CAAC,MAAM,EAAE;YACX,MAAM,IAAI,KAAK,CAAC,kDAAkD,CAAC,CAAA;SACpE;QAED,OAAO,EAAE,CAAC,IAAI,CAAC,GAAG,EAAE;YAClB,+DAA+D;YAC/D,MAAM,WAAW,GAAG,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,aAAa,CAAC,GAAG,EAAE,IAAI,CAAC,EAAE,SAAS,CAAC,CAAC;YAEvE,MAAM,OAAO,GAAG,CAAC,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;YAC3C,MAAM,UAAU,GAAG,SAAS,CAAC,WAAW,EAAE,OAAO,CAAC,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,GAAG,CAAC,CAAgB,CAAA;YAErF,IAAI,GAAG,GAAG,QAAQ,CAAC,UAAU,EAAE,MAAM,CAAC,WAAW,CAAC,CAAA;YAClD,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO,CAAC,CAAA;YAEpC,GAAG,GAAG,QAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YACpC,GAAG,GAAG,QAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YACpC,GAAG,GAAG,QAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YAEpC,GAAG,GAAG,YAAY,CAAC,GAAG,EAAE,MAAM,CAAC,WAAW,CAAC,CAAA;YAC3C,GAAG,GAAG,QAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YACpC,GAAG,GAAG,QAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YACpC,GAAG,GAAG,QAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YAEpC,GAAG,GAAG,YAAY,CAAC,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;YAC5C,GAAG,GAAG,QAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,SAAS,CAAC,CAAA;YACrC,GAAG,GAAG,QAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,SAAS,CAAC,CAAA;YAErC,GAAG,GAAG,YAAY,CAAC,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;YAC5C,GAAG,GAAG,QAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,SAAS,CAAC,CAAA;YACrC,GAAG,GAAG,QAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,SAAS,CAAC,CAAA;YACrC,GAAG,GAAG,YAAY,CAAC,GAAG,EAAE,MAAM,CAAC,gBAAgB,CAAC,CAAA;YAEhD,MAAM,SAAS,GAAG,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAgB,CAAA;YACjD,MAAM,cAAc,GAAG,EAAE,CAAC,MAAM,CAAC,SAAS,EAAE,MAAM,CAAC,EAAE,CAAC,CAAA;YAEtD,OAAO,cAAc,CAAA;QACvB,CAAC,CAAC,CAAA;IACJ,CAAC;IAEM,KAAK,CAAC,OAAO,CAAC,KAAgB;QACnC,OAAO,IAAI,CAAC,YAAY,CAAC,MAAM,UAAU,CAAC,KAAK,CAAC,CAAC,CAAA;IACnD,CAAC;IAEM,KAAK,CAAC,qBAAqB,CAAC,KAAgB;QACjD,MAAM,QAAQ,GAAG,MAAM,UAAU,CAAC,KAAK,CAAC,CAAA;QAExC,MAAM,qBAAqB,GAAG,EAAE,CAAC,IAAI,CACnC,GAAG,EAAE,CAAC,EAAE,CAAC,OAAO,CAAC,IAAI,CAAC,YAAY,CAAC,QAAQ,CAAC,CAAC,CAC9C,CAAA;QAED,MAAM,uBAAuB,GAAG,MAAM,OAAO,CAAC,GAAG,CAAC,qBAAqB,CAAC,GAAG,CACzE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,IAAI,EAAE,CACd,CAAmB,CAAA;QAEpB,qBAAqB,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,OAAO,EAAE,CAAC,CAAA;QAE/C,OAAO,QAAQ,CAAC,YAAY;YAC1B,CAAC,CAAC,uBAAuB;YACzB,CAAC,CAAC,uBAAuB,CAAC,CAAC,CAAC,CAAA;IAChC,CAAC;IAES,mBAAmB;QAC3B,OAAO,wBAAwB,CAAA;IACjC,CAAC;IAES,0BAA0B,CAAC,SAA4B;QAC/D,OAAO,0BAA0B,CAAC,SAAS,CAAC,CAAA;IAC9C,CAAC;IAES,aAAa,CAAC,OAAqB;QAC3C,OAAO,aAAa,CAAC,OAAO,CAAC,CAAA;IAC/B,CAAC;CACF"}
\ No newline at end of file
diff --git a/build/faceRecognitionNet/convLayer.d.ts b/build/src/faceRecognitionNet/convLayer.d.ts
similarity index 100%
rename from build/faceRecognitionNet/convLayer.d.ts
rename to build/src/faceRecognitionNet/convLayer.d.ts
diff --git a/build/src/faceRecognitionNet/convLayer.d.ts.map b/build/src/faceRecognitionNet/convLayer.d.ts.map
new file mode 100644
index 0000000..e187f39
--- /dev/null
+++ b/build/src/faceRecognitionNet/convLayer.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"convLayer.d.ts","sourceRoot":"","sources":["../../../src/faceRecognitionNet/convLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAG5C,OAAO,EAAE,eAAe,EAAE,MAAM,SAAS,CAAC;AAkB1C,wBAAgB,IAAI,CAAC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,MAAM,EAAE,eAAe,eAE3D;AAED,wBAAgB,UAAU,CAAC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,MAAM,EAAE,eAAe,eAEjE;AAED,wBAAgB,QAAQ,CAAC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,MAAM,EAAE,eAAe,eAE/D"}
\ No newline at end of file
diff --git a/build/faceRecognitionNet/convLayer.js b/build/src/faceRecognitionNet/convLayer.js
similarity index 100%
rename from build/faceRecognitionNet/convLayer.js
rename to build/src/faceRecognitionNet/convLayer.js
diff --git a/build/src/faceRecognitionNet/convLayer.js.map b/build/src/faceRecognitionNet/convLayer.js.map
new file mode 100644
index 0000000..283a05f
--- /dev/null
+++ b/build/src/faceRecognitionNet/convLayer.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"convLayer.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/convLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,KAAK,EAAE,MAAM,cAAc,CAAC;AAIrC,SAAS,SAAS,CAChB,CAAc,EACd,MAAuB,EACvB,OAAyB,EACzB,QAAiB,EACjB,UAA4B,MAAM;IAElC,MAAM,EAAE,OAAO,EAAE,IAAI,EAAE,GAAG,MAAM,CAAC,IAAI,CAAA;IAErC,IAAI,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;IACjD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,IAAI,CAAC,CAAA;IACvB,GAAG,GAAG,KAAK,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAC9B,OAAO,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,GAAG,CAAA;AACtC,CAAC;AAED,MAAM,UAAU,IAAI,CAAC,CAAc,EAAE,MAAuB;IAC1D,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,CAAC,CAAA;AAC3C,CAAC;AAED,MAAM,UAAU,UAAU,CAAC,CAAc,EAAE,MAAuB;IAChE,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,CAAA;AAC5C,CAAC;AAED,MAAM,UAAU,QAAQ,CAAC,CAAc,EAAE,MAAuB;IAC9D,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,EAAE,OAAO,CAAC,CAAA;AACpD,CAAC"}
\ No newline at end of file
diff --git a/build/faceRecognitionNet/extractParams.d.ts b/build/src/faceRecognitionNet/extractParams.d.ts
similarity index 100%
rename from build/faceRecognitionNet/extractParams.d.ts
rename to build/src/faceRecognitionNet/extractParams.d.ts
diff --git a/build/src/faceRecognitionNet/extractParams.d.ts.map b/build/src/faceRecognitionNet/extractParams.d.ts.map
new file mode 100644
index 0000000..8aa432a
--- /dev/null
+++ b/build/src/faceRecognitionNet/extractParams.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"extractParams.d.ts","sourceRoot":"","sources":["../../../src/faceRecognitionNet/extractParams.ts"],"names":[],"mappings":"AAEA,OAAO,EAA6D,YAAY,EAAE,MAAM,WAAW,CAAC;AAEpG,OAAO,EAAmB,SAAS,EAAyC,MAAM,SAAS,CAAC;AAwF5F,wBAAgB,aAAa,CAAC,OAAO,EAAE,YAAY,GAAG;IAAE,MAAM,EAAE,SAAS,CAAC;IAAC,aAAa,EAAE,YAAY,EAAE,CAAA;CAAE,CA8DzG"}
\ No newline at end of file
diff --git a/build/faceRecognitionNet/extractParams.js b/build/src/faceRecognitionNet/extractParams.js
similarity index 100%
rename from build/faceRecognitionNet/extractParams.js
rename to build/src/faceRecognitionNet/extractParams.js
diff --git a/build/src/faceRecognitionNet/extractParams.js.map b/build/src/faceRecognitionNet/extractParams.js.map
new file mode 100644
index 0000000..6ea26ca
--- /dev/null
+++ b/build/src/faceRecognitionNet/extractParams.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/extractParams.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAc,qBAAqB,EAAwC,MAAM,WAAW,CAAC;AACpG,OAAO,EAAE,OAAO,EAAE,MAAM,UAAU,CAAC;AAGnC,SAAS,iBAAiB,CAAC,cAAsC,EAAE,aAA6B;IAE9F,SAAS,mBAAmB,CAAC,eAAuB,EAAE,UAAkB,EAAE,UAAkB;QAC1F,MAAM,OAAO,GAAG,cAAc,CAAC,eAAe,CAAC,CAAA;QAC/C,MAAM,KAAK,GAAG,OAAO,CAAC,MAAM,GAAG,CAAC,UAAU,GAAG,UAAU,GAAG,UAAU,CAAC,CAAA;QAErE,IAAI,OAAO,CAAC,KAAK,CAAC,EAAE;YAClB,MAAM,IAAI,KAAK,CAAC,+BAA+B,KAAK,qBAAqB,OAAO,CAAC,MAAM,iBAAiB,UAAU,iBAAiB,UAAU,EAAE,CAAC,CAAA;SACjJ;QAED,OAAO,EAAE,CAAC,IAAI,CACZ,GAAG,EAAE,CAAC,EAAE,CAAC,SAAS,CAChB,EAAE,CAAC,QAAQ,CAAC,OAAO,EAAE,CAAC,UAAU,EAAE,KAAK,EAAE,UAAU,EAAE,UAAU,CAAC,CAAC,EACjE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CACb,CACF,CAAA;IACH,CAAC;IAED,SAAS,iBAAiB,CACxB,eAAuB,EACvB,UAAkB,EAClB,UAAkB,EAClB,YAAoB;QAGpB,MAAM,OAAO,GAAG,mBAAmB,CAAC,eAAe,EAAE,UAAU,EAAE,UAAU,CAAC,CAAA;QAC5E,MAAM,IAAI,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,CAAC,CAAC,CAAA;QAEpD,aAAa,CAAC,IAAI,CAChB,EAAE,SAAS,EAAE,GAAG,YAAY,UAAU,EAAE,EACxC,EAAE,SAAS,EAAE,GAAG,YAAY,OAAO,EAAE,CACtC,CAAA;QAED,OAAO,EAAE,OAAO,EAAE,IAAI,EAAE,CAAA;IAC1B,CAAC;IAED,SAAS,uBAAuB,CAAC,UAAkB,EAAE,YAAoB;QAEvE,MAAM,OAAO,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,CAAC,CAAC,CAAA;QACvD,MAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,CAAC,CAAC,CAAA;QAEtD,aAAa,CAAC,IAAI,CAChB,EAAE,SAAS,EAAE,GAAG,YAAY,UAAU,EAAE,EACxC,EAAE,SAAS,EAAE,GAAG,YAAY,SAAS,EAAE,CACxC,CAAA;QAED,OAAO;YACL,OAAO;YACP,MAAM;SACP,CAAA;IACH,CAAC;IAED,SAAS,sBAAsB,CAC7B,eAAuB,EACvB,UAAkB,EAClB,UAAkB,EAClB,YAAoB;QAGpB,MAAM,IAAI,GAAG,iBAAiB,CAAC,eAAe,EAAE,UAAU,EAAE,UAAU,EAAE,GAAG,YAAY,OAAO,CAAC,CAAA;QAC/F,MAAM,KAAK,GAAG,uBAAuB,CAAC,UAAU,EAAE,GAAG,YAAY,QAAQ,CAAC,CAAA;QAE1E,OAAO,EAAE,IAAI,EAAE,KAAK,EAAE,CAAA;IACxB,CAAC;IAED,SAAS,0BAA0B,CACjC,eAAuB,EACvB,UAAkB,EAClB,UAAkB,EAClB,YAAoB,EACpB,SAAkB,KAAK;QAGvB,MAAM,KAAK,GAAG,sBAAsB,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,GAAG,eAAe,EAAE,UAAU,EAAE,UAAU,EAAE,GAAG,YAAY,QAAQ,CAAC,CAAA;QAC3H,MAAM,KAAK,GAAG,sBAAsB,CAAC,eAAe,EAAE,UAAU,EAAE,UAAU,EAAE,GAAG,YAAY,QAAQ,CAAC,CAAA;QAEtG,OAAO,EAAE,KAAK,EAAE,KAAK,EAAE,CAAA;IACzB,CAAC;IAED,OAAO;QACL,sBAAsB;QACtB,0BAA0B;KAC3B,CAAA;AAEH,CAAC;AAED,MAAM,UAAU,aAAa,CAAC,OAAqB;IAEjD,MAAM,EACJ,cAAc,EACd,mBAAmB,EACpB,GAAG,qBAAqB,CAAC,OAAO,CAAC,CAAA;IAElC,MAAM,aAAa,GAAmB,EAAE,CAAA;IAExC,MAAM,EACJ,sBAAsB,EACtB,0BAA0B,EAC3B,GAAG,iBAAiB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAEpD,MAAM,WAAW,GAAG,sBAAsB,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,aAAa,CAAC,CAAA;IACtE,MAAM,QAAQ,GAAG,0BAA0B,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACpE,MAAM,QAAQ,GAAG,0BAA0B,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACpE,MAAM,QAAQ,GAAG,0BAA0B,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IAEpE,MAAM,WAAW,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,aAAa,EAAE,IAAI,CAAC,CAAA;IACjF,MAAM,QAAQ,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACrE,MAAM,QAAQ,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACrE,MAAM,QAAQ,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IAErE,MAAM,YAAY,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,cAAc,EAAE,IAAI,CAAC,CAAA;IACrF,MAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IACzE,MAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IAEzE,MAAM,YAAY,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,cAAc,EAAE,IAAI,CAAC,CAAA;IACrF,MAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IACzE,MAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IACzE,MAAM,gBAAgB,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,kBAAkB,CAAC,CAAA;IAEvF,MAAM,EAAE,GAAG,EAAE,CAAC,IAAI,CAChB,GAAG,EAAE,CAAC,EAAE,CAAC,SAAS,CAAC,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,GAAG,GAAG,GAAG,CAAC,EAAE,CAAC,GAAG,EAAE,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAC/E,CAAA;IACD,aAAa,CAAC,IAAI,CAAC,EAAE,SAAS,EAAE,IAAI,EAAE,CAAC,CAAA;IAEvC,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,kCAAkC,mBAAmB,EAAE,CAAC,MAAM,EAAE,CAAC,CAAA;KAClF;IAED,MAAM,MAAM,GAAG;QACb,WAAW;QACX,QAAQ;QACR,QAAQ;QACR,QAAQ;QACR,WAAW;QACX,QAAQ;QACR,QAAQ;QACR,QAAQ;QACR,YAAY;QACZ,SAAS;QACT,SAAS;QACT,YAAY;QACZ,SAAS;QACT,SAAS;QACT,gBAAgB;QAChB,EAAE;KACH,CAAA;IAED,OAAO,EAAE,MAAM,EAAE,aAAa,EAAE,CAAA;AAClC,CAAC"}
\ No newline at end of file
diff --git a/build/faceRecognitionNet/extractParamsFromWeigthMap.d.ts b/build/src/faceRecognitionNet/extractParamsFromWeigthMap.d.ts
similarity index 100%
rename from build/faceRecognitionNet/extractParamsFromWeigthMap.d.ts
rename to build/src/faceRecognitionNet/extractParamsFromWeigthMap.d.ts
diff --git a/build/src/faceRecognitionNet/extractParamsFromWeigthMap.d.ts.map b/build/src/faceRecognitionNet/extractParamsFromWeigthMap.d.ts.map
new file mode 100644
index 0000000..ef7efff
--- /dev/null
+++ b/build/src/faceRecognitionNet/extractParamsFromWeigthMap.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"extractParamsFromWeigthMap.d.ts","sourceRoot":"","sources":["../../../src/faceRecognitionNet/extractParamsFromWeigthMap.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAyD,YAAY,EAAE,MAAM,WAAW,CAAC;AAEhG,OAAO,EAAmB,SAAS,EAAyC,MAAM,SAAS,CAAC;AAqC5F,wBAAgB,0BAA0B,CACxC,SAAS,EAAE,EAAE,CAAC,cAAc,GAC3B;IAAE,MAAM,EAAE,SAAS,CAAC;IAAC,aAAa,EAAE,YAAY,EAAE,CAAA;CAAE,CAyDtD"}
\ No newline at end of file
diff --git a/build/faceRecognitionNet/extractParamsFromWeigthMap.js b/build/src/faceRecognitionNet/extractParamsFromWeigthMap.js
similarity index 100%
rename from build/faceRecognitionNet/extractParamsFromWeigthMap.js
rename to build/src/faceRecognitionNet/extractParamsFromWeigthMap.js
diff --git a/build/src/faceRecognitionNet/extractParamsFromWeigthMap.js.map b/build/src/faceRecognitionNet/extractParamsFromWeigthMap.js.map
new file mode 100644
index 0000000..ecc9578
--- /dev/null
+++ b/build/src/faceRecognitionNet/extractParamsFromWeigthMap.js.map
@@ -0,0 +1 @@
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diff --git a/build/faceRecognitionNet/index.d.ts b/build/src/faceRecognitionNet/index.d.ts
similarity index 100%
rename from build/faceRecognitionNet/index.d.ts
rename to build/src/faceRecognitionNet/index.d.ts
diff --git a/build/src/faceRecognitionNet/index.d.ts.map b/build/src/faceRecognitionNet/index.d.ts.map
new file mode 100644
index 0000000..108ce27
--- /dev/null
+++ b/build/src/faceRecognitionNet/index.d.ts.map
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diff --git a/build/faceRecognitionNet/index.js b/build/src/faceRecognitionNet/index.js
similarity index 100%
rename from build/faceRecognitionNet/index.js
rename to build/src/faceRecognitionNet/index.js
diff --git a/build/src/faceRecognitionNet/index.js.map b/build/src/faceRecognitionNet/index.js.map
new file mode 100644
index 0000000..6a41920
--- /dev/null
+++ b/build/src/faceRecognitionNet/index.js.map
@@ -0,0 +1 @@
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diff --git a/build/faceRecognitionNet/residualLayer.d.ts b/build/src/faceRecognitionNet/residualLayer.d.ts
similarity index 100%
rename from build/faceRecognitionNet/residualLayer.d.ts
rename to build/src/faceRecognitionNet/residualLayer.d.ts
diff --git a/build/src/faceRecognitionNet/residualLayer.d.ts.map b/build/src/faceRecognitionNet/residualLayer.d.ts.map
new file mode 100644
index 0000000..ac0a6c2
--- /dev/null
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diff --git a/build/faceRecognitionNet/residualLayer.js b/build/src/faceRecognitionNet/residualLayer.js
similarity index 100%
rename from build/faceRecognitionNet/residualLayer.js
rename to build/src/faceRecognitionNet/residualLayer.js
diff --git a/build/src/faceRecognitionNet/residualLayer.js.map b/build/src/faceRecognitionNet/residualLayer.js.map
new file mode 100644
index 0000000..60109e3
--- /dev/null
+++ b/build/src/faceRecognitionNet/residualLayer.js.map
@@ -0,0 +1 @@
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diff --git a/build/faceRecognitionNet/scaleLayer.d.ts b/build/src/faceRecognitionNet/scaleLayer.d.ts
similarity index 100%
rename from build/faceRecognitionNet/scaleLayer.d.ts
rename to build/src/faceRecognitionNet/scaleLayer.d.ts
diff --git a/build/src/faceRecognitionNet/scaleLayer.d.ts.map b/build/src/faceRecognitionNet/scaleLayer.d.ts.map
new file mode 100644
index 0000000..272c63a
--- /dev/null
+++ b/build/src/faceRecognitionNet/scaleLayer.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/faceRecognitionNet/scaleLayer.js b/build/src/faceRecognitionNet/scaleLayer.js
similarity index 100%
rename from build/faceRecognitionNet/scaleLayer.js
rename to build/src/faceRecognitionNet/scaleLayer.js
diff --git a/build/src/faceRecognitionNet/scaleLayer.js.map b/build/src/faceRecognitionNet/scaleLayer.js.map
new file mode 100644
index 0000000..82536d2
--- /dev/null
+++ b/build/src/faceRecognitionNet/scaleLayer.js.map
@@ -0,0 +1 @@
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diff --git a/build/faceRecognitionNet/types.d.ts b/build/src/faceRecognitionNet/types.d.ts
similarity index 100%
rename from build/faceRecognitionNet/types.d.ts
rename to build/src/faceRecognitionNet/types.d.ts
diff --git a/build/src/faceRecognitionNet/types.d.ts.map b/build/src/faceRecognitionNet/types.d.ts.map
new file mode 100644
index 0000000..420503a
--- /dev/null
+++ b/build/src/faceRecognitionNet/types.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/faceRecognitionNet/types.js b/build/src/faceRecognitionNet/types.js
similarity index 100%
rename from build/faceRecognitionNet/types.js
rename to build/src/faceRecognitionNet/types.js
diff --git a/build/faceFeatureExtractor/types.js.map b/build/src/faceRecognitionNet/types.js.map
similarity index 50%
rename from build/faceFeatureExtractor/types.js.map
rename to build/src/faceRecognitionNet/types.js.map
index 94f9edb..3e89976 100644
--- a/build/faceFeatureExtractor/types.js.map
+++ b/build/src/faceRecognitionNet/types.js.map
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/build/factories/WithAge.d.ts b/build/src/factories/WithAge.d.ts
similarity index 100%
rename from build/factories/WithAge.d.ts
rename to build/src/factories/WithAge.d.ts
diff --git a/build/src/factories/WithAge.d.ts.map b/build/src/factories/WithAge.d.ts.map
new file mode 100644
index 0000000..f4dc718
--- /dev/null
+++ b/build/src/factories/WithAge.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/factories/WithAge.js b/build/src/factories/WithAge.js
similarity index 100%
rename from build/factories/WithAge.js
rename to build/src/factories/WithAge.js
diff --git a/build/src/factories/WithAge.js.map b/build/src/factories/WithAge.js.map
new file mode 100644
index 0000000..852484b
--- /dev/null
+++ b/build/src/factories/WithAge.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/factories/WithFaceDescriptor.d.ts b/build/src/factories/WithFaceDescriptor.d.ts
similarity index 100%
rename from build/factories/WithFaceDescriptor.d.ts
rename to build/src/factories/WithFaceDescriptor.d.ts
diff --git a/build/src/factories/WithFaceDescriptor.d.ts.map b/build/src/factories/WithFaceDescriptor.d.ts.map
new file mode 100644
index 0000000..8a82fb8
--- /dev/null
+++ b/build/src/factories/WithFaceDescriptor.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/factories/WithFaceDescriptor.js b/build/src/factories/WithFaceDescriptor.js
similarity index 100%
rename from build/factories/WithFaceDescriptor.js
rename to build/src/factories/WithFaceDescriptor.js
diff --git a/build/src/factories/WithFaceDescriptor.js.map b/build/src/factories/WithFaceDescriptor.js.map
new file mode 100644
index 0000000..ff7e1db
--- /dev/null
+++ b/build/src/factories/WithFaceDescriptor.js.map
@@ -0,0 +1 @@
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diff --git a/build/factories/WithFaceDetection.d.ts b/build/src/factories/WithFaceDetection.d.ts
similarity index 100%
rename from build/factories/WithFaceDetection.d.ts
rename to build/src/factories/WithFaceDetection.d.ts
diff --git a/build/src/factories/WithFaceDetection.d.ts.map b/build/src/factories/WithFaceDetection.d.ts.map
new file mode 100644
index 0000000..b16a562
--- /dev/null
+++ b/build/src/factories/WithFaceDetection.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/factories/WithFaceDetection.js b/build/src/factories/WithFaceDetection.js
similarity index 100%
rename from build/factories/WithFaceDetection.js
rename to build/src/factories/WithFaceDetection.js
diff --git a/build/src/factories/WithFaceDetection.js.map b/build/src/factories/WithFaceDetection.js.map
new file mode 100644
index 0000000..a195cb7
--- /dev/null
+++ b/build/src/factories/WithFaceDetection.js.map
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diff --git a/build/factories/WithFaceExpressions.d.ts b/build/src/factories/WithFaceExpressions.d.ts
similarity index 100%
rename from build/factories/WithFaceExpressions.d.ts
rename to build/src/factories/WithFaceExpressions.d.ts
diff --git a/build/src/factories/WithFaceExpressions.d.ts.map b/build/src/factories/WithFaceExpressions.d.ts.map
new file mode 100644
index 0000000..d8af39c
--- /dev/null
+++ b/build/src/factories/WithFaceExpressions.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/factories/WithFaceExpressions.js b/build/src/factories/WithFaceExpressions.js
similarity index 100%
rename from build/factories/WithFaceExpressions.js
rename to build/src/factories/WithFaceExpressions.js
diff --git a/build/src/factories/WithFaceExpressions.js.map b/build/src/factories/WithFaceExpressions.js.map
new file mode 100644
index 0000000..24288cc
--- /dev/null
+++ b/build/src/factories/WithFaceExpressions.js.map
@@ -0,0 +1 @@
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diff --git a/build/factories/WithFaceLandmarks.d.ts b/build/src/factories/WithFaceLandmarks.d.ts
similarity index 100%
rename from build/factories/WithFaceLandmarks.d.ts
rename to build/src/factories/WithFaceLandmarks.d.ts
diff --git a/build/src/factories/WithFaceLandmarks.d.ts.map b/build/src/factories/WithFaceLandmarks.d.ts.map
new file mode 100644
index 0000000..e714ebe
--- /dev/null
+++ b/build/src/factories/WithFaceLandmarks.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/factories/WithFaceLandmarks.js b/build/src/factories/WithFaceLandmarks.js
similarity index 100%
rename from build/factories/WithFaceLandmarks.js
rename to build/src/factories/WithFaceLandmarks.js
diff --git a/build/src/factories/WithFaceLandmarks.js.map b/build/src/factories/WithFaceLandmarks.js.map
new file mode 100644
index 0000000..e95843b
--- /dev/null
+++ b/build/src/factories/WithFaceLandmarks.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/factories/WithGender.d.ts b/build/src/factories/WithGender.d.ts
similarity index 100%
rename from build/factories/WithGender.d.ts
rename to build/src/factories/WithGender.d.ts
diff --git a/build/src/factories/WithGender.d.ts.map b/build/src/factories/WithGender.d.ts.map
new file mode 100644
index 0000000..f3d788d
--- /dev/null
+++ b/build/src/factories/WithGender.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/factories/WithGender.js b/build/src/factories/WithGender.js
similarity index 100%
rename from build/factories/WithGender.js
rename to build/src/factories/WithGender.js
diff --git a/build/src/factories/WithGender.js.map b/build/src/factories/WithGender.js.map
new file mode 100644
index 0000000..b1e9cb1
--- /dev/null
+++ b/build/src/factories/WithGender.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/factories/index.d.ts b/build/src/factories/index.d.ts
similarity index 100%
rename from build/factories/index.d.ts
rename to build/src/factories/index.d.ts
diff --git a/build/src/factories/index.d.ts.map b/build/src/factories/index.d.ts.map
new file mode 100644
index 0000000..f167119
--- /dev/null
+++ b/build/src/factories/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/factories/index.js b/build/src/factories/index.js
similarity index 100%
rename from build/factories/index.js
rename to build/src/factories/index.js
diff --git a/build/src/factories/index.js.map b/build/src/factories/index.js.map
new file mode 100644
index 0000000..2e055c9
--- /dev/null
+++ b/build/src/factories/index.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/ComposableTask.d.ts b/build/src/globalApi/ComposableTask.d.ts
similarity index 100%
rename from build/globalApi/ComposableTask.d.ts
rename to build/src/globalApi/ComposableTask.d.ts
diff --git a/build/src/globalApi/ComposableTask.d.ts.map b/build/src/globalApi/ComposableTask.d.ts.map
new file mode 100644
index 0000000..e3af310
--- /dev/null
+++ b/build/src/globalApi/ComposableTask.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/ComposableTask.js b/build/src/globalApi/ComposableTask.js
similarity index 100%
rename from build/globalApi/ComposableTask.js
rename to build/src/globalApi/ComposableTask.js
diff --git a/build/src/globalApi/ComposableTask.js.map b/build/src/globalApi/ComposableTask.js.map
new file mode 100644
index 0000000..809a1b9
--- /dev/null
+++ b/build/src/globalApi/ComposableTask.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/ComputeFaceDescriptorsTasks.d.ts b/build/src/globalApi/ComputeFaceDescriptorsTasks.d.ts
similarity index 100%
rename from build/globalApi/ComputeFaceDescriptorsTasks.d.ts
rename to build/src/globalApi/ComputeFaceDescriptorsTasks.d.ts
diff --git a/build/src/globalApi/ComputeFaceDescriptorsTasks.d.ts.map b/build/src/globalApi/ComputeFaceDescriptorsTasks.d.ts.map
new file mode 100644
index 0000000..534e9db
--- /dev/null
+++ b/build/src/globalApi/ComputeFaceDescriptorsTasks.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/ComputeFaceDescriptorsTasks.js b/build/src/globalApi/ComputeFaceDescriptorsTasks.js
similarity index 100%
rename from build/globalApi/ComputeFaceDescriptorsTasks.js
rename to build/src/globalApi/ComputeFaceDescriptorsTasks.js
diff --git a/build/src/globalApi/ComputeFaceDescriptorsTasks.js.map b/build/src/globalApi/ComputeFaceDescriptorsTasks.js.map
new file mode 100644
index 0000000..dec589e
--- /dev/null
+++ b/build/src/globalApi/ComputeFaceDescriptorsTasks.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/DetectFaceLandmarksTasks.d.ts b/build/src/globalApi/DetectFaceLandmarksTasks.d.ts
similarity index 100%
rename from build/globalApi/DetectFaceLandmarksTasks.d.ts
rename to build/src/globalApi/DetectFaceLandmarksTasks.d.ts
diff --git a/build/src/globalApi/DetectFaceLandmarksTasks.d.ts.map b/build/src/globalApi/DetectFaceLandmarksTasks.d.ts.map
new file mode 100644
index 0000000..d5d4964
--- /dev/null
+++ b/build/src/globalApi/DetectFaceLandmarksTasks.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/globalApi/DetectFaceLandmarksTasks.js b/build/src/globalApi/DetectFaceLandmarksTasks.js
similarity index 100%
rename from build/globalApi/DetectFaceLandmarksTasks.js
rename to build/src/globalApi/DetectFaceLandmarksTasks.js
diff --git a/build/src/globalApi/DetectFaceLandmarksTasks.js.map b/build/src/globalApi/DetectFaceLandmarksTasks.js.map
new file mode 100644
index 0000000..f8dbf81
--- /dev/null
+++ b/build/src/globalApi/DetectFaceLandmarksTasks.js.map
@@ -0,0 +1 @@
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diff --git a/build/globalApi/DetectFacesTasks.d.ts b/build/src/globalApi/DetectFacesTasks.d.ts
similarity index 100%
rename from build/globalApi/DetectFacesTasks.d.ts
rename to build/src/globalApi/DetectFacesTasks.d.ts
diff --git a/build/src/globalApi/DetectFacesTasks.d.ts.map b/build/src/globalApi/DetectFacesTasks.d.ts.map
new file mode 100644
index 0000000..07d0511
--- /dev/null
+++ b/build/src/globalApi/DetectFacesTasks.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/globalApi/DetectFacesTasks.js b/build/src/globalApi/DetectFacesTasks.js
similarity index 100%
rename from build/globalApi/DetectFacesTasks.js
rename to build/src/globalApi/DetectFacesTasks.js
diff --git a/build/src/globalApi/DetectFacesTasks.js.map b/build/src/globalApi/DetectFacesTasks.js.map
new file mode 100644
index 0000000..68b7e68
--- /dev/null
+++ b/build/src/globalApi/DetectFacesTasks.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/FaceMatcher.d.ts b/build/src/globalApi/FaceMatcher.d.ts
similarity index 100%
rename from build/globalApi/FaceMatcher.d.ts
rename to build/src/globalApi/FaceMatcher.d.ts
diff --git a/build/src/globalApi/FaceMatcher.d.ts.map b/build/src/globalApi/FaceMatcher.d.ts.map
new file mode 100644
index 0000000..bba0ea4
--- /dev/null
+++ b/build/src/globalApi/FaceMatcher.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/FaceMatcher.js b/build/src/globalApi/FaceMatcher.js
similarity index 100%
rename from build/globalApi/FaceMatcher.js
rename to build/src/globalApi/FaceMatcher.js
diff --git a/build/src/globalApi/FaceMatcher.js.map b/build/src/globalApi/FaceMatcher.js.map
new file mode 100644
index 0000000..44faf8d
--- /dev/null
+++ b/build/src/globalApi/FaceMatcher.js.map
@@ -0,0 +1 @@
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diff --git a/build/globalApi/PredictAgeAndGenderTask.d.ts b/build/src/globalApi/PredictAgeAndGenderTask.d.ts
similarity index 100%
rename from build/globalApi/PredictAgeAndGenderTask.d.ts
rename to build/src/globalApi/PredictAgeAndGenderTask.d.ts
diff --git a/build/src/globalApi/PredictAgeAndGenderTask.d.ts.map b/build/src/globalApi/PredictAgeAndGenderTask.d.ts.map
new file mode 100644
index 0000000..8ee2307
--- /dev/null
+++ b/build/src/globalApi/PredictAgeAndGenderTask.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/globalApi/PredictAgeAndGenderTask.js b/build/src/globalApi/PredictAgeAndGenderTask.js
similarity index 100%
rename from build/globalApi/PredictAgeAndGenderTask.js
rename to build/src/globalApi/PredictAgeAndGenderTask.js
diff --git a/build/src/globalApi/PredictAgeAndGenderTask.js.map b/build/src/globalApi/PredictAgeAndGenderTask.js.map
new file mode 100644
index 0000000..a69d9e3
--- /dev/null
+++ b/build/src/globalApi/PredictAgeAndGenderTask.js.map
@@ -0,0 +1 @@
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diff --git a/build/globalApi/PredictFaceExpressionsTask.d.ts b/build/src/globalApi/PredictFaceExpressionsTask.d.ts
similarity index 100%
rename from build/globalApi/PredictFaceExpressionsTask.d.ts
rename to build/src/globalApi/PredictFaceExpressionsTask.d.ts
diff --git a/build/src/globalApi/PredictFaceExpressionsTask.d.ts.map b/build/src/globalApi/PredictFaceExpressionsTask.d.ts.map
new file mode 100644
index 0000000..d5d522c
--- /dev/null
+++ b/build/src/globalApi/PredictFaceExpressionsTask.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/PredictFaceExpressionsTask.js b/build/src/globalApi/PredictFaceExpressionsTask.js
similarity index 100%
rename from build/globalApi/PredictFaceExpressionsTask.js
rename to build/src/globalApi/PredictFaceExpressionsTask.js
diff --git a/build/src/globalApi/PredictFaceExpressionsTask.js.map b/build/src/globalApi/PredictFaceExpressionsTask.js.map
new file mode 100644
index 0000000..e30b298
--- /dev/null
+++ b/build/src/globalApi/PredictFaceExpressionsTask.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/allFaces.d.ts b/build/src/globalApi/allFaces.d.ts
similarity index 100%
rename from build/globalApi/allFaces.d.ts
rename to build/src/globalApi/allFaces.d.ts
diff --git a/build/src/globalApi/allFaces.d.ts.map b/build/src/globalApi/allFaces.d.ts.map
new file mode 100644
index 0000000..24e0a1a
--- /dev/null
+++ b/build/src/globalApi/allFaces.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/globalApi/allFaces.js b/build/src/globalApi/allFaces.js
similarity index 100%
rename from build/globalApi/allFaces.js
rename to build/src/globalApi/allFaces.js
diff --git a/build/src/globalApi/allFaces.js.map b/build/src/globalApi/allFaces.js.map
new file mode 100644
index 0000000..595bd27
--- /dev/null
+++ b/build/src/globalApi/allFaces.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/detectFaces.d.ts b/build/src/globalApi/detectFaces.d.ts
similarity index 100%
rename from build/globalApi/detectFaces.d.ts
rename to build/src/globalApi/detectFaces.d.ts
diff --git a/build/src/globalApi/detectFaces.d.ts.map b/build/src/globalApi/detectFaces.d.ts.map
new file mode 100644
index 0000000..616b02f
--- /dev/null
+++ b/build/src/globalApi/detectFaces.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/detectFaces.js b/build/src/globalApi/detectFaces.js
similarity index 100%
rename from build/globalApi/detectFaces.js
rename to build/src/globalApi/detectFaces.js
diff --git a/build/src/globalApi/detectFaces.js.map b/build/src/globalApi/detectFaces.js.map
new file mode 100644
index 0000000..8e0d5bf
--- /dev/null
+++ b/build/src/globalApi/detectFaces.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/extractFacesAndComputeResults.d.ts b/build/src/globalApi/extractFacesAndComputeResults.d.ts
similarity index 100%
rename from build/globalApi/extractFacesAndComputeResults.d.ts
rename to build/src/globalApi/extractFacesAndComputeResults.d.ts
diff --git a/build/src/globalApi/extractFacesAndComputeResults.d.ts.map b/build/src/globalApi/extractFacesAndComputeResults.d.ts.map
new file mode 100644
index 0000000..4bb8fd1
--- /dev/null
+++ b/build/src/globalApi/extractFacesAndComputeResults.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/extractFacesAndComputeResults.js b/build/src/globalApi/extractFacesAndComputeResults.js
similarity index 100%
rename from build/globalApi/extractFacesAndComputeResults.js
rename to build/src/globalApi/extractFacesAndComputeResults.js
diff --git a/build/src/globalApi/extractFacesAndComputeResults.js.map b/build/src/globalApi/extractFacesAndComputeResults.js.map
new file mode 100644
index 0000000..35becd1
--- /dev/null
+++ b/build/src/globalApi/extractFacesAndComputeResults.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/index.d.ts b/build/src/globalApi/index.d.ts
similarity index 100%
rename from build/globalApi/index.d.ts
rename to build/src/globalApi/index.d.ts
diff --git a/build/src/globalApi/index.d.ts.map b/build/src/globalApi/index.d.ts.map
new file mode 100644
index 0000000..9d108da
--- /dev/null
+++ b/build/src/globalApi/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/index.js b/build/src/globalApi/index.js
similarity index 100%
rename from build/globalApi/index.js
rename to build/src/globalApi/index.js
diff --git a/build/src/globalApi/index.js.map b/build/src/globalApi/index.js.map
new file mode 100644
index 0000000..0376116
--- /dev/null
+++ b/build/src/globalApi/index.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/nets.d.ts b/build/src/globalApi/nets.d.ts
similarity index 100%
rename from build/globalApi/nets.d.ts
rename to build/src/globalApi/nets.d.ts
diff --git a/build/src/globalApi/nets.d.ts.map b/build/src/globalApi/nets.d.ts.map
new file mode 100644
index 0000000..5805a6b
--- /dev/null
+++ b/build/src/globalApi/nets.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/globalApi/nets.js b/build/src/globalApi/nets.js
similarity index 100%
rename from build/globalApi/nets.js
rename to build/src/globalApi/nets.js
diff --git a/build/src/globalApi/nets.js.map b/build/src/globalApi/nets.js.map
new file mode 100644
index 0000000..850ab45
--- /dev/null
+++ b/build/src/globalApi/nets.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"nets.js","sourceRoot":"","sources":["../../../src/globalApi/nets.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,YAAY,EAAE,MAAM,8BAA8B,CAAC;AAM5D,OAAO,EAAE,iBAAiB,EAAE,MAAM,wCAAwC,CAAC;AAE3E,OAAO,EAAE,iBAAiB,EAAE,MAAM,sCAAsC,CAAC;AACzE,OAAO,EAAE,qBAAqB,EAAE,MAAM,0CAA0C,CAAC;AACjF,OAAO,EAAE,kBAAkB,EAAE,MAAM,0CAA0C,CAAC;AAG9E,OAAO,EAAE,cAAc,EAAE,MAAM,kCAAkC,CAAC;AAElE,OAAO,EAAE,gBAAgB,EAAE,MAAM,sCAAsC,CAAC;AAExE,OAAO,EAAsB,UAAU,EAAE,MAAM,eAAe,CAAC;AAE/D,MAAM,CAAC,MAAM,IAAI,GAAG;IAClB,cAAc,EAAE,IAAI,cAAc,EAAE;IACpC,gBAAgB,EAAE,IAAI,gBAAgB,EAAE;IACxC,UAAU,EAAE,IAAI,UAAU,EAAE;IAC5B,iBAAiB,EAAE,IAAI,iBAAiB,EAAE;IAC1C,qBAAqB,EAAE,IAAI,qBAAqB,EAAE;IAClD,kBAAkB,EAAE,IAAI,kBAAkB,EAAE;IAC5C,iBAAiB,EAAE,IAAI,iBAAiB,EAAE;IAC1C,YAAY,EAAE,IAAI,YAAY,EAAE;CACjC,CAAA;AAED;;;;;;GAMG;AACH,MAAM,CAAC,MAAM,cAAc,GAAG,CAAC,KAAgB,EAAE,OAA8B,EAA4B,EAAE,CAC3G,IAAI,CAAC,cAAc,CAAC,WAAW,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;AAEjD;;;;;;GAMG;AACH,MAAM,CAAC,MAAM,gBAAgB,GAAG,CAAC,KAAgB,EAAE,OAAgC,EAA4B,EAAE,CAC/G,IAAI,CAAC,gBAAgB,CAAC,WAAW,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;AAEnD;;;;;;GAMG;AACH,MAAM,CAAC,MAAM,UAAU,GAAG,CAAC,KAAgB,EAAE,OAA2B,EAA4B,EAAE,CACpG,IAAI,CAAC,UAAU,CAAC,WAAW,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;AAE7C;;;;;;GAMG;AACH,MAAM,CAAC,MAAM,mBAAmB,GAAG,CAAC,KAAgB,EAAgD,EAAE,CACpG,IAAI,CAAC,iBAAiB,CAAC,eAAe,CAAC,KAAK,CAAC,CAAA;AAE/C;;;;;;;;GAQG;AACH,MAAM,CAAC,MAAM,uBAAuB,GAAG,CAAC,KAAgB,EAAiD,EAAE,CACzG,IAAI,CAAC,qBAAqB,CAAC,eAAe,CAAC,KAAK,CAAC,CAAA;AAEnD;;;;;;;;;GASG;AACH,MAAM,CAAC,MAAM,qBAAqB,GAAG,CAAC,KAAgB,EAA2C,EAAE,CACjG,IAAI,CAAC,kBAAkB,CAAC,qBAAqB,CAAC,KAAK,CAAC,CAAA;AAGtD;;;;;;GAMG;AACH,MAAM,CAAC,MAAM,wBAAwB,GAAG,CAAC,KAAgB,EAAgD,EAAE,CACzG,IAAI,CAAC,iBAAiB,CAAC,kBAAkB,CAAC,KAAK,CAAC,CAAA;AAElD;;;;;;GAMG;AACH,MAAM,CAAC,MAAM,mBAAmB,GAAG,CAAC,KAAgB,EAA8D,EAAE,CAClH,IAAI,CAAC,YAAY,CAAC,mBAAmB,CAAC,KAAK,CAAC,CAAA;AAE9C,MAAM,CAAC,MAAM,uBAAuB,GAAG,CAAC,GAAW,EAAE,EAAE,CAAC,IAAI,CAAC,cAAc,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;AACrF,MAAM,CAAC,MAAM,yBAAyB,GAAG,CAAC,GAAW,EAAE,EAAE,CAAC,IAAI,CAAC,gBAAgB,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;AACzF,MAAM,CAAC,MAAM,mBAAmB,GAAG,CAAC,GAAW,EAAE,EAAE,CAAC,IAAI,CAAC,UAAU,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;AAC7E,MAAM,CAAC,MAAM,qBAAqB,GAAG,CAAC,GAAW,EAAE,EAAE,CAAC,IAAI,CAAC,iBAAiB,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;AACtF,MAAM,CAAC,MAAM,yBAAyB,GAAG,CAAC,GAAW,EAAE,EAAE,CAAC,IAAI,CAAC,qBAAqB,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;AAC9F,MAAM,CAAC,MAAM,wBAAwB,GAAG,CAAC,GAAW,EAAE,EAAE,CAAC,IAAI,CAAC,kBAAkB,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;AAC1F,MAAM,CAAC,MAAM,uBAAuB,GAAG,CAAC,GAAW,EAAE,EAAE,CAAC,IAAI,CAAC,iBAAiB,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;AACxF,MAAM,CAAC,MAAM,kBAAkB,GAAG,CAAC,GAAW,EAAE,EAAE,CAAC,IAAI,CAAC,YAAY,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;AAE9E,yBAAyB;AACzB,MAAM,CAAC,MAAM,sBAAsB,GAAG,uBAAuB,CAAA;AAC7D,MAAM,CAAC,MAAM,WAAW,GAAG,cAAc,CAAA;AACzC,MAAM,CAAC,MAAM,eAAe,GAAG,mBAAmB,CAAA"}
\ No newline at end of file
diff --git a/build/globalApi/types.d.ts b/build/src/globalApi/types.d.ts
similarity index 100%
rename from build/globalApi/types.d.ts
rename to build/src/globalApi/types.d.ts
diff --git a/build/src/globalApi/types.d.ts.map b/build/src/globalApi/types.d.ts.map
new file mode 100644
index 0000000..92bad0d
--- /dev/null
+++ b/build/src/globalApi/types.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"types.d.ts","sourceRoot":"","sources":["../../../src/globalApi/types.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,aAAa,EAAE,MAAM,0BAA0B,CAAC;AACzD,OAAO,EAAE,SAAS,EAAE,MAAM,QAAQ,CAAC;AACnC,OAAO,EAAE,qBAAqB,EAAE,MAAM,yCAAyC,CAAC;AAChF,OAAO,EAAE,uBAAuB,EAAE,MAAM,6CAA6C,CAAC;AACtF,OAAO,EAAE,iBAAiB,EAAE,MAAM,eAAe,CAAC;AAElD,oBAAY,oBAAoB,GAAG,uBAAuB,GAAG,qBAAqB,GAAG,iBAAiB,CAAA;AAEtG,oBAAY,qBAAqB,GAAG,CAAC,KAAK,EAAE,SAAS,KAAK,OAAO,CAAC,aAAa,EAAE,CAAC,CAAA"}
\ No newline at end of file
diff --git a/build/globalApi/types.js b/build/src/globalApi/types.js
similarity index 100%
rename from build/globalApi/types.js
rename to build/src/globalApi/types.js
diff --git a/build/globalApi/types.js.map b/build/src/globalApi/types.js.map
similarity index 54%
rename from build/globalApi/types.js.map
rename to build/src/globalApi/types.js.map
index 1473b90..e079214 100644
--- a/build/globalApi/types.js.map
+++ b/build/src/globalApi/types.js.map
@@ -1 +1 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../src/globalApi/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
+{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/globalApi/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/index.d.ts b/build/src/index.d.ts
similarity index 76%
rename from build/index.d.ts
rename to build/src/index.d.ts
index 048fa81..846d4f1 100644
--- a/build/index.d.ts
+++ b/build/src/index.d.ts
@@ -1,8 +1,7 @@
-declare const test = "test";
 import * as tf from '@tensorflow/tfjs-core';
 import * as draw from './draw';
 import * as utils from './utils';
-export { draw, utils, tf, test };
+export { draw, utils, tf };
 export * from './ageGenderNet/index';
 export * from './classes/index';
 export * from './dom/index';
@@ -19,4 +18,9 @@ export * from './tinyYolov2/index';
 export * from './euclideanDistance';
 export * from './NeuralNetwork';
 export * from './resizeResults';
+export declare const version: {
+    faceapi: string;
+    tfjs_core: string;
+    env: import("@tensorflow/tfjs-core/dist/environment").Flags;
+};
 //# sourceMappingURL=index.d.ts.map
\ No newline at end of file
diff --git a/build/src/index.d.ts.map b/build/src/index.d.ts.map
new file mode 100644
index 0000000..1561ea8
--- /dev/null
+++ b/build/src/index.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../../src/index.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAC5C,OAAO,KAAK,IAAI,MAAM,QAAQ,CAAC;AAC/B,OAAO,KAAK,KAAK,MAAM,SAAS,CAAC;AACjC,OAAO,EAAE,IAAI,EAAE,KAAK,EAAE,EAAE,EAAE,CAAC;AAE3B,cAAc,sBAAsB,CAAC;AACrC,cAAc,iBAAiB,CAAC;AAChC,cAAc,aAAa,CAAA;AAC3B,cAAc,aAAa,CAAC;AAC5B,cAAc,2BAA2B,CAAC;AAC1C,cAAc,yBAAyB,CAAC;AACxC,cAAc,4BAA4B,CAAC;AAC3C,cAAc,mBAAmB,CAAC;AAClC,cAAc,mBAAmB,CAAC;AAClC,cAAc,aAAa,CAAC;AAC5B,cAAc,wBAAwB,CAAC;AACvC,cAAc,0BAA0B,CAAC;AACzC,cAAc,oBAAoB,CAAC;AACnC,cAAc,qBAAqB,CAAC;AACpC,cAAc,iBAAiB,CAAC;AAChC,cAAc,iBAAiB,CAAC;AAGhC,eAAO,MAAM,OAAO;;;;CAA+E,CAAC"}
\ No newline at end of file
diff --git a/build/index.js b/build/src/index.js
similarity index 77%
rename from build/index.js
rename to build/src/index.js
index 9ccdc3e..3f35d05 100644
--- a/build/index.js
+++ b/build/src/index.js
@@ -1,8 +1,7 @@
-const test = 'test';
 import * as tf from '@tensorflow/tfjs-core';
 import * as draw from './draw';
 import * as utils from './utils';
-export { draw, utils, tf, test };
+export { draw, utils, tf };
 export * from './ageGenderNet/index';
 export * from './classes/index';
 export * from './dom/index';
@@ -19,4 +18,6 @@ export * from './tinyYolov2/index';
 export * from './euclideanDistance';
 export * from './NeuralNetwork';
 export * from './resizeResults';
+import * as pkg from '../package.json';
+export const version = { faceapi: pkg.version, tfjs_core: tf.version_core, env: tf.ENV.getFlags() };
 //# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/src/index.js.map b/build/src/index.js.map
new file mode 100644
index 0000000..3f5470a
--- /dev/null
+++ b/build/src/index.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../src/index.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAC5C,OAAO,KAAK,IAAI,MAAM,QAAQ,CAAC;AAC/B,OAAO,KAAK,KAAK,MAAM,SAAS,CAAC;AACjC,OAAO,EAAE,IAAI,EAAE,KAAK,EAAE,EAAE,EAAE,CAAC;AAE3B,cAAc,sBAAsB,CAAC;AACrC,cAAc,iBAAiB,CAAC;AAChC,cAAc,aAAa,CAAA;AAC3B,cAAc,aAAa,CAAC;AAC5B,cAAc,2BAA2B,CAAC;AAC1C,cAAc,yBAAyB,CAAC;AACxC,cAAc,4BAA4B,CAAC;AAC3C,cAAc,mBAAmB,CAAC;AAClC,cAAc,mBAAmB,CAAC;AAClC,cAAc,aAAa,CAAC;AAC5B,cAAc,wBAAwB,CAAC;AACvC,cAAc,0BAA0B,CAAC;AACzC,cAAc,oBAAoB,CAAC;AACnC,cAAc,qBAAqB,CAAC;AACpC,cAAc,iBAAiB,CAAC;AAChC,cAAc,iBAAiB,CAAC;AAEhC,OAAO,KAAK,GAAG,MAAM,iBAAiB,CAAC;AACvC,MAAM,CAAC,MAAM,OAAO,GAAG,EAAE,OAAO,EAAE,GAAG,CAAC,OAAO,EAAE,SAAS,EAAE,EAAE,CAAC,YAAY,EAAE,GAAG,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,EAAE,CAAC"}
\ No newline at end of file
diff --git a/build/ops/index.d.ts b/build/src/ops/index.d.ts
similarity index 100%
rename from build/ops/index.d.ts
rename to build/src/ops/index.d.ts
diff --git a/build/src/ops/index.d.ts.map b/build/src/ops/index.d.ts.map
new file mode 100644
index 0000000..f7f07f7
--- /dev/null
+++ b/build/src/ops/index.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../../../src/ops/index.ts"],"names":[],"mappings":"AAAA,cAAc,OAAO,CAAA;AACrB,cAAc,WAAW,CAAA;AACzB,cAAc,qBAAqB,CAAA;AACnC,cAAc,aAAa,CAAA;AAC3B,cAAc,eAAe,CAAA;AAC7B,cAAc,gBAAgB,CAAA;AAE9B,wBAAgB,OAAO,CAAC,CAAC,EAAE,MAAM,UAEhC;AAED,wBAAgB,cAAc,CAAC,CAAC,EAAE,MAAM,UAEvC"}
\ No newline at end of file
diff --git a/build/ops/index.js b/build/src/ops/index.js
similarity index 100%
rename from build/ops/index.js
rename to build/src/ops/index.js
diff --git a/build/src/ops/index.js.map b/build/src/ops/index.js.map
new file mode 100644
index 0000000..0fe23bd
--- /dev/null
+++ b/build/src/ops/index.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/ops/index.ts"],"names":[],"mappings":"AAAA,cAAc,OAAO,CAAA;AACrB,cAAc,WAAW,CAAA;AACzB,cAAc,qBAAqB,CAAA;AACnC,cAAc,aAAa,CAAA;AAC3B,cAAc,eAAe,CAAA;AAC7B,cAAc,gBAAgB,CAAA;AAE9B,MAAM,UAAU,OAAO,CAAC,CAAS;IAC/B,OAAO,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;AAC/B,CAAC;AAED,MAAM,UAAU,cAAc,CAAC,CAAS;IACtC,OAAO,IAAI,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAA;AAC9B,CAAC"}
\ No newline at end of file
diff --git a/build/ops/iou.d.ts b/build/src/ops/iou.d.ts
similarity index 100%
rename from build/ops/iou.d.ts
rename to build/src/ops/iou.d.ts
diff --git a/build/src/ops/iou.d.ts.map b/build/src/ops/iou.d.ts.map
new file mode 100644
index 0000000..3d7b59f
--- /dev/null
+++ b/build/src/ops/iou.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"iou.d.ts","sourceRoot":"","sources":["../../../src/ops/iou.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,GAAG,EAAE,MAAM,gBAAgB,CAAC;AAErC,wBAAgB,GAAG,CAAC,IAAI,EAAE,GAAG,EAAE,IAAI,EAAE,GAAG,EAAE,KAAK,GAAE,OAAc,UAQ9D"}
\ No newline at end of file
diff --git a/build/ops/iou.js b/build/src/ops/iou.js
similarity index 100%
rename from build/ops/iou.js
rename to build/src/ops/iou.js
diff --git a/build/src/ops/iou.js.map b/build/src/ops/iou.js.map
new file mode 100644
index 0000000..c449aa5
--- /dev/null
+++ b/build/src/ops/iou.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"iou.js","sourceRoot":"","sources":["../../../src/ops/iou.ts"],"names":[],"mappings":"AAEA,MAAM,UAAU,GAAG,CAAC,IAAS,EAAE,IAAS,EAAE,QAAiB,IAAI;IAC7D,MAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,KAAK,EAAE,IAAI,CAAC,KAAK,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI,CAAC,CAAC,CAAA;IAC9F,MAAM,MAAM,GAAG,IAAI,CAAC,GAAG,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,MAAM,EAAE,IAAI,CAAC,MAAM,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,CAAC,CAAC,CAAA;IAC/F,MAAM,YAAY,GAAG,KAAK,GAAG,MAAM,CAAA;IAEnC,OAAO,KAAK;QACV,CAAC,CAAC,YAAY,GAAG,CAAC,IAAI,CAAC,IAAI,GAAG,IAAI,CAAC,IAAI,GAAG,YAAY,CAAC;QACvD,CAAC,CAAC,YAAY,GAAG,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI,CAAC,CAAA;AACnD,CAAC"}
\ No newline at end of file
diff --git a/build/ops/minBbox.d.ts b/build/src/ops/minBbox.d.ts
similarity index 100%
rename from build/ops/minBbox.d.ts
rename to build/src/ops/minBbox.d.ts
diff --git a/build/src/ops/minBbox.d.ts.map b/build/src/ops/minBbox.d.ts.map
new file mode 100644
index 0000000..36482bb
--- /dev/null
+++ b/build/src/ops/minBbox.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"minBbox.d.ts","sourceRoot":"","sources":["../../../src/ops/minBbox.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,WAAW,EAAE,MAAM,EAAE,MAAM,YAAY,CAAC;AAEjD,wBAAgB,OAAO,CAAC,GAAG,EAAE,MAAM,EAAE,GAAG,WAAW,CASlD"}
\ No newline at end of file
diff --git a/build/ops/minBbox.js b/build/src/ops/minBbox.js
similarity index 100%
rename from build/ops/minBbox.js
rename to build/src/ops/minBbox.js
diff --git a/build/src/ops/minBbox.js.map b/build/src/ops/minBbox.js.map
new file mode 100644
index 0000000..d923388
--- /dev/null
+++ b/build/src/ops/minBbox.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"minBbox.js","sourceRoot":"","sources":["../../../src/ops/minBbox.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,WAAW,EAAU,MAAM,YAAY,CAAC;AAEjD,MAAM,UAAU,OAAO,CAAC,GAAa;IACnC,MAAM,EAAE,GAAG,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IAC9B,MAAM,EAAE,GAAG,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IAC9B,MAAM,IAAI,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,GAAG,EAAE,QAAQ,CAAC,CAAA;IAC/D,MAAM,IAAI,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,GAAG,EAAE,QAAQ,CAAC,CAAA;IAC/D,MAAM,IAAI,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,CAAC,EAAE,EAAE,CAAC,GAAG,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC,CAAA;IACxD,MAAM,IAAI,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,CAAC,EAAE,EAAE,CAAC,GAAG,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC,CAAA;IAExD,OAAO,IAAI,WAAW,CAAC,IAAI,EAAE,IAAI,EAAE,IAAI,EAAE,IAAI,CAAC,CAAA;AAChD,CAAC"}
\ No newline at end of file
diff --git a/build/ops/nonMaxSuppression.d.ts b/build/src/ops/nonMaxSuppression.d.ts
similarity index 100%
rename from build/ops/nonMaxSuppression.d.ts
rename to build/src/ops/nonMaxSuppression.d.ts
diff --git a/build/src/ops/nonMaxSuppression.d.ts.map b/build/src/ops/nonMaxSuppression.d.ts.map
new file mode 100644
index 0000000..23c7ef3
--- /dev/null
+++ b/build/src/ops/nonMaxSuppression.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"nonMaxSuppression.d.ts","sourceRoot":"","sources":["../../../src/ops/nonMaxSuppression.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,GAAG,EAAE,MAAM,gBAAgB,CAAC;AAGrC,wBAAgB,iBAAiB,CAC/B,KAAK,EAAE,GAAG,EAAE,EACZ,MAAM,EAAE,MAAM,EAAE,EAChB,YAAY,EAAE,MAAM,EACpB,KAAK,GAAE,OAAc,GACpB,MAAM,EAAE,CAgCV"}
\ No newline at end of file
diff --git a/build/ops/nonMaxSuppression.js b/build/src/ops/nonMaxSuppression.js
similarity index 100%
rename from build/ops/nonMaxSuppression.js
rename to build/src/ops/nonMaxSuppression.js
diff --git a/build/src/ops/nonMaxSuppression.js.map b/build/src/ops/nonMaxSuppression.js.map
new file mode 100644
index 0000000..008360c
--- /dev/null
+++ b/build/src/ops/nonMaxSuppression.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"nonMaxSuppression.js","sourceRoot":"","sources":["../../../src/ops/nonMaxSuppression.ts"],"names":[],"mappings":"AACA,OAAO,EAAE,GAAG,EAAE,MAAM,OAAO,CAAC;AAE5B,MAAM,UAAU,iBAAiB,CAC/B,KAAY,EACZ,MAAgB,EAChB,YAAoB,EACpB,QAAiB,IAAI;IAGrB,IAAI,oBAAoB,GAAG,MAAM;SAC9B,GAAG,CAAC,CAAC,KAAK,EAAE,QAAQ,EAAE,EAAE,CAAC,CAAC,EAAE,KAAK,EAAE,QAAQ,EAAE,CAAC,CAAC;SAC/C,IAAI,CAAC,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,KAAK,GAAG,EAAE,CAAC,KAAK,CAAC;SACrC,GAAG,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,QAAQ,CAAC,CAAA;IAEvB,MAAM,IAAI,GAAa,EAAE,CAAA;IAEzB,OAAM,oBAAoB,CAAC,MAAM,GAAG,CAAC,EAAE;QACrC,MAAM,IAAI,GAAG,oBAAoB,CAAC,GAAG,EAAY,CAAA;QACjD,IAAI,CAAC,IAAI,CAAC,IAAI,CAAC,CAAA;QAEf,MAAM,OAAO,GAAG,oBAAoB,CAAA;QAEpC,MAAM,OAAO,GAAa,EAAE,CAAA;QAC5B,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,MAAM,EAAE,CAAC,EAAE,EAAE;YACvC,MAAM,GAAG,GAAG,OAAO,CAAC,CAAC,CAAC,CAAA;YAEtB,MAAM,OAAO,GAAG,KAAK,CAAC,IAAI,CAAC,CAAA;YAC3B,MAAM,MAAM,GAAG,KAAK,CAAC,GAAG,CAAC,CAAA;YAEzB,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,OAAO,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,CAAA;SAC1C;QAED,oBAAoB,GAAG,oBAAoB,CAAC,MAAM,CAChD,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,OAAO,CAAC,CAAC,CAAC,IAAI,YAAY,CACrC,CAAA;KACF;IAED,OAAO,IAAI,CAAA;AAEb,CAAC"}
\ No newline at end of file
diff --git a/build/ops/normalize.d.ts b/build/src/ops/normalize.d.ts
similarity index 100%
rename from build/ops/normalize.d.ts
rename to build/src/ops/normalize.d.ts
diff --git a/build/src/ops/normalize.d.ts.map b/build/src/ops/normalize.d.ts.map
new file mode 100644
index 0000000..c25eaa8
--- /dev/null
+++ b/build/src/ops/normalize.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"normalize.d.ts","sourceRoot":"","sources":["../../../src/ops/normalize.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,wBAAgB,SAAS,CAAC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,OAAO,EAAE,MAAM,EAAE,GAAG,EAAE,CAAC,QAAQ,CAUxE"}
\ No newline at end of file
diff --git a/build/ops/normalize.js b/build/src/ops/normalize.js
similarity index 100%
rename from build/ops/normalize.js
rename to build/src/ops/normalize.js
diff --git a/build/src/ops/normalize.js.map b/build/src/ops/normalize.js.map
new file mode 100644
index 0000000..4e13939
--- /dev/null
+++ b/build/src/ops/normalize.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"normalize.js","sourceRoot":"","sources":["../../../src/ops/normalize.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,MAAM,UAAU,SAAS,CAAC,CAAc,EAAE,OAAiB;IACzD,OAAO,EAAE,CAAC,IAAI,CAAC,GAAG,EAAE;QAClB,MAAM,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,GAAG,OAAO,CAAA;QACzB,MAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,GAAG,CAAC,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QACrD,MAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,GAAG,CAAC,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QACrD,MAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,GAAG,CAAC,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QACrD,MAAM,OAAO,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,KAAK,EAAE,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAA;QAEnD,OAAO,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,OAAO,CAAC,CAAA;IAC3B,CAAC,CAAC,CAAA;AACJ,CAAC"}
\ No newline at end of file
diff --git a/build/ops/padToSquare.d.ts b/build/src/ops/padToSquare.d.ts
similarity index 100%
rename from build/ops/padToSquare.d.ts
rename to build/src/ops/padToSquare.d.ts
diff --git a/build/src/ops/padToSquare.d.ts.map b/build/src/ops/padToSquare.d.ts.map
new file mode 100644
index 0000000..c63a128
--- /dev/null
+++ b/build/src/ops/padToSquare.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"padToSquare.d.ts","sourceRoot":"","sources":["../../../src/ops/padToSquare.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C;;;;;;;GAOG;AACH,wBAAgB,WAAW,CACzB,SAAS,EAAE,EAAE,CAAC,QAAQ,EACtB,aAAa,GAAE,OAAe,GAC7B,EAAE,CAAC,QAAQ,CAoCb"}
\ No newline at end of file
diff --git a/build/ops/padToSquare.js b/build/src/ops/padToSquare.js
similarity index 91%
rename from build/ops/padToSquare.js
rename to build/src/ops/padToSquare.js
index ca4d024..267aa5d 100644
--- a/build/ops/padToSquare.js
+++ b/build/src/ops/padToSquare.js
@@ -32,7 +32,8 @@ export function padToSquare(imgTensor, isCenterImage = false) {
             paddingTensorAppend
         ]
             .filter(t => !!t)
-            .map((t) => t.toFloat());
+            // .map((t: tf.Tensor) => t.toFloat()) as tf.Tensor4D[]
+            .map((t) => tf.cast(t, 'float32'));
         return tf.concat(tensorsToStack, paddingAxis);
     });
 }
diff --git a/build/src/ops/padToSquare.js.map b/build/src/ops/padToSquare.js.map
new file mode 100644
index 0000000..f54cbe6
--- /dev/null
+++ b/build/src/ops/padToSquare.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"padToSquare.js","sourceRoot":"","sources":["../../../src/ops/padToSquare.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C;;;;;;;GAOG;AACH,MAAM,UAAU,WAAW,CACzB,SAAsB,EACtB,gBAAyB,KAAK;IAE9B,OAAO,EAAE,CAAC,IAAI,CAAC,GAAG,EAAE;QAElB,MAAM,CAAC,MAAM,EAAE,KAAK,CAAC,GAAG,SAAS,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;QAChD,IAAI,MAAM,KAAK,KAAK,EAAE;YACpB,OAAO,SAAS,CAAA;SACjB;QAED,MAAM,OAAO,GAAG,IAAI,CAAC,GAAG,CAAC,MAAM,GAAG,KAAK,CAAC,CAAA;QACxC,MAAM,aAAa,GAAG,IAAI,CAAC,KAAK,CAAC,OAAO,GAAG,CAAC,aAAa,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;QACrE,MAAM,WAAW,GAAG,MAAM,GAAG,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;QAE1C,MAAM,mBAAmB,GAAG,CAAC,aAAqB,EAAa,EAAE;YAC/D,MAAM,kBAAkB,GAAG,SAAS,CAAC,KAAK,CAAC,KAAK,EAAE,CAAA;YAClD,kBAAkB,CAAC,WAAW,CAAC,GAAG,aAAa,CAAA;YAC/C,OAAO,EAAE,CAAC,IAAI,CAAC,kBAAkB,EAAE,CAAC,CAAC,CAAA;QACvC,CAAC,CAAA;QAED,MAAM,mBAAmB,GAAG,mBAAmB,CAAC,aAAa,CAAC,CAAA;QAC9D,MAAM,sBAAsB,GAAG,OAAO,GAAI,mBAAmB,CAAC,KAAK,CAAC,WAAW,CAAY,CAAA;QAE3F,MAAM,oBAAoB,GAAG,aAAa,IAAI,sBAAsB;YAClE,CAAC,CAAC,mBAAmB,CAAC,sBAAsB,CAAC;YAC7C,CAAC,CAAC,IAAI,CAAA;QAER,MAAM,cAAc,GAAG;YACrB,oBAAoB;YACpB,SAAS;YACT,mBAAmB;SACpB;aACE,MAAM,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC;YACjB,uDAAuD;aACtD,GAAG,CAAC,CAAC,CAAY,EAAE,EAAE,CAAC,EAAE,CAAC,IAAI,CAAC,CAAC,EAAE,SAAS,CAAC,CAAkB,CAAA;QAChE,OAAO,EAAE,CAAC,MAAM,CAAC,cAAc,EAAE,WAAW,CAAC,CAAA;IAE/C,CAAC,CAAC,CAAA;AACJ,CAAC"}
\ No newline at end of file
diff --git a/build/ops/shuffleArray.d.ts b/build/src/ops/shuffleArray.d.ts
similarity index 100%
rename from build/ops/shuffleArray.d.ts
rename to build/src/ops/shuffleArray.d.ts
diff --git a/build/src/ops/shuffleArray.d.ts.map b/build/src/ops/shuffleArray.d.ts.map
new file mode 100644
index 0000000..667d303
--- /dev/null
+++ b/build/src/ops/shuffleArray.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"shuffleArray.d.ts","sourceRoot":"","sources":["../../../src/ops/shuffleArray.ts"],"names":[],"mappings":"AAAA,wBAAgB,YAAY,CAAC,UAAU,EAAE,GAAG,EAAE,SAS7C"}
\ No newline at end of file
diff --git a/build/ops/shuffleArray.js b/build/src/ops/shuffleArray.js
similarity index 100%
rename from build/ops/shuffleArray.js
rename to build/src/ops/shuffleArray.js
diff --git a/build/src/ops/shuffleArray.js.map b/build/src/ops/shuffleArray.js.map
new file mode 100644
index 0000000..163eedc
--- /dev/null
+++ b/build/src/ops/shuffleArray.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"shuffleArray.js","sourceRoot":"","sources":["../../../src/ops/shuffleArray.ts"],"names":[],"mappings":"AAAA,MAAM,UAAU,YAAY,CAAC,UAAiB;IAC5C,MAAM,KAAK,GAAG,UAAU,CAAC,KAAK,EAAE,CAAA;IAChC,KAAK,IAAI,CAAC,GAAG,KAAK,CAAC,MAAM,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,EAAE,EAAE;QACvC,MAAM,CAAC,GAAG,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,MAAM,EAAE,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAA;QAC7C,MAAM,CAAC,GAAG,KAAK,CAAC,CAAC,CAAC,CAAA;QAClB,KAAK,CAAC,CAAC,CAAC,GAAG,KAAK,CAAC,CAAC,CAAC,CAAA;QACnB,KAAK,CAAC,CAAC,CAAC,GAAG,CAAC,CAAA;KACf;IACD,OAAO,KAAK,CAAA;AACd,CAAC"}
\ No newline at end of file
diff --git a/build/resizeResults.d.ts b/build/src/resizeResults.d.ts
similarity index 100%
rename from build/resizeResults.d.ts
rename to build/src/resizeResults.d.ts
diff --git a/build/src/resizeResults.d.ts.map b/build/src/resizeResults.d.ts.map
new file mode 100644
index 0000000..493bd0e
--- /dev/null
+++ b/build/src/resizeResults.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"resizeResults.d.ts","sourceRoot":"","sources":["../../src/resizeResults.ts"],"names":[],"mappings":"AAAA,OAAO,EAAc,WAAW,EAAE,MAAM,WAAW,CAAC;AAMpD,wBAAgB,aAAa,CAAC,CAAC,EAAE,OAAO,EAAE,CAAC,EAAE,UAAU,EAAE,WAAW,GAAG,CAAC,CA4BvE"}
\ No newline at end of file
diff --git a/build/resizeResults.js b/build/src/resizeResults.js
similarity index 100%
rename from build/resizeResults.js
rename to build/src/resizeResults.js
diff --git a/build/src/resizeResults.js.map b/build/src/resizeResults.js.map
new file mode 100644
index 0000000..a041f3b
--- /dev/null
+++ b/build/src/resizeResults.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"resizeResults.js","sourceRoot":"","sources":["../../src/resizeResults.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,UAAU,EAAe,MAAM,WAAW,CAAC;AACpD,OAAO,EAAE,aAAa,EAAE,MAAM,yBAAyB,CAAC;AACxD,OAAO,EAAE,aAAa,EAAE,MAAM,yBAAyB,CAAC;AACxD,OAAO,EAAE,uBAAuB,EAAE,mBAAmB,EAAE,MAAM,+BAA+B,CAAC;AAC7F,OAAO,EAAE,uBAAuB,EAAE,mBAAmB,EAAE,MAAM,+BAA+B,CAAC;AAE7F,MAAM,UAAU,aAAa,CAAI,OAAU,EAAE,UAAuB;IAElE,MAAM,EAAE,KAAK,EAAE,MAAM,EAAE,GAAG,IAAI,UAAU,CAAC,UAAU,CAAC,KAAK,EAAE,UAAU,CAAC,MAAM,CAAC,CAAA;IAE7E,IAAI,KAAK,IAAI,CAAC,IAAI,MAAM,IAAI,CAAC,EAAE;QAC7B,MAAM,IAAI,KAAK,CAAC,uCAAuC,IAAI,CAAC,SAAS,CAAC,EAAE,KAAK,EAAE,MAAM,EAAE,CAAC,EAAE,CAAC,CAAA;KAC5F;IAED,IAAI,KAAK,CAAC,OAAO,CAAC,OAAO,CAAC,EAAE;QAC1B,OAAO,OAAO,CAAC,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,aAAa,CAAC,GAAG,EAAE,EAAE,KAAK,EAAE,MAAM,EAAE,CAAC,CAAa,CAAA;KAC7E;IAED,IAAI,mBAAmB,CAAC,OAAO,CAAC,EAAE;QAChC,MAAM,gBAAgB,GAAG,OAAO,CAAC,SAAS,CAAC,OAAO,CAAC,KAAK,EAAE,MAAM,CAAC,CAAA;QACjE,MAAM,gBAAgB,GAAG,OAAO,CAAC,kBAAkB,CAAC,OAAO,CAAC,gBAAgB,CAAC,GAAG,CAAC,KAAK,EAAE,gBAAgB,CAAC,GAAG,CAAC,MAAM,CAAC,CAAA;QAEpH,OAAO,uBAAuB,CAAC,uBAAuB,CAAC,OAAO,EAAE,gBAAgB,CAAC,EAAE,gBAAgB,CAAC,CAAA;KACrG;IAED,IAAI,mBAAmB,CAAC,OAAO,CAAC,EAAE;QAChC,OAAO,uBAAuB,CAAC,OAAO,EAAE,OAAO,CAAC,SAAS,CAAC,OAAO,CAAC,KAAK,EAAE,MAAM,CAAC,CAAC,CAAA;KAClF;IAED,IAAI,OAAO,YAAY,aAAa,IAAI,OAAO,YAAY,aAAa,EAAE;QACxE,OAAQ,OAAe,CAAC,OAAO,CAAC,KAAK,EAAE,MAAM,CAAC,CAAA;KAC/C;IAED,OAAO,OAAO,CAAA;AAChB,CAAC"}
\ No newline at end of file
diff --git a/build/ssdMobilenetv1/SsdMobilenetv1.d.ts b/build/src/ssdMobilenetv1/SsdMobilenetv1.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/SsdMobilenetv1.d.ts
rename to build/src/ssdMobilenetv1/SsdMobilenetv1.d.ts
diff --git a/build/src/ssdMobilenetv1/SsdMobilenetv1.d.ts.map b/build/src/ssdMobilenetv1/SsdMobilenetv1.d.ts.map
new file mode 100644
index 0000000..e5e628e
--- /dev/null
+++ b/build/src/ssdMobilenetv1/SsdMobilenetv1.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"SsdMobilenetv1.d.ts","sourceRoot":"","sources":["../../../src/ssdMobilenetv1/SsdMobilenetv1.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAG5C,OAAO,EAAE,aAAa,EAAE,MAAM,0BAA0B,CAAC;AACzD,OAAO,EAAE,QAAQ,EAAE,SAAS,EAAc,MAAM,QAAQ,CAAC;AACzD,OAAO,EAAE,aAAa,EAAE,MAAM,kBAAkB,CAAC;AAOjD,OAAO,EAAE,sBAAsB,EAAyB,MAAM,yBAAyB,CAAC;AACxF,OAAO,EAAE,SAAS,EAAE,MAAM,SAAS,CAAC;AAGpC,qBAAa,cAAe,SAAQ,aAAa,CAAC,SAAS,CAAC;;IAMnD,YAAY,CAAC,KAAK,EAAE,QAAQ;;;;IAwBtB,OAAO,CAAC,KAAK,EAAE,SAAS;;;;IAIxB,WAAW,CACtB,KAAK,EAAE,SAAS,EAChB,OAAO,GAAE,sBAA2B,GACnC,OAAO,CAAC,aAAa,EAAE,CAAC;IAqE3B,SAAS,CAAC,mBAAmB,IAAI,MAAM;IAIvC,SAAS,CAAC,0BAA0B,CAAC,SAAS,EAAE,EAAE,CAAC,cAAc;;;;IAIjE,SAAS,CAAC,aAAa,CAAC,OAAO,EAAE,YAAY;;;;CAG9C"}
\ No newline at end of file
diff --git a/build/ssdMobilenetv1/SsdMobilenetv1.js b/build/src/ssdMobilenetv1/SsdMobilenetv1.js
similarity index 94%
rename from build/ssdMobilenetv1/SsdMobilenetv1.js
rename to build/src/ssdMobilenetv1/SsdMobilenetv1.js
index 982a823..74b27a5 100644
--- a/build/ssdMobilenetv1/SsdMobilenetv1.js
+++ b/build/src/ssdMobilenetv1/SsdMobilenetv1.js
@@ -20,7 +20,8 @@ export class SsdMobilenetv1 extends NeuralNetwork {
             throw new Error('SsdMobilenetv1 - load model before inference');
         }
         return tf.tidy(() => {
-            const batchTensor = input.toBatchTensor(512, false).toFloat();
+            // const batchTensor = input.toBatchTensor(512, false).toFloat()
+            const batchTensor = tf.cast(input.toBatchTensor(512, false), 'float32');
             const x = tf.sub(tf.mul(batchTensor, tf.scalar(0.007843137718737125)), tf.scalar(1));
             const features = mobileNetV1(x, params.mobilenetv1);
             const { boxPredictions, classPredictions } = predictionLayer(features.out, features.conv11, params.prediction_layer);
diff --git a/build/src/ssdMobilenetv1/SsdMobilenetv1.js.map b/build/src/ssdMobilenetv1/SsdMobilenetv1.js.map
new file mode 100644
index 0000000..6f28c85
--- /dev/null
+++ b/build/src/ssdMobilenetv1/SsdMobilenetv1.js.map
@@ -0,0 +1 @@
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diff --git a/build/ssdMobilenetv1/SsdMobilenetv1Options.d.ts b/build/src/ssdMobilenetv1/SsdMobilenetv1Options.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/SsdMobilenetv1Options.d.ts
rename to build/src/ssdMobilenetv1/SsdMobilenetv1Options.d.ts
diff --git a/build/src/ssdMobilenetv1/SsdMobilenetv1Options.d.ts.map b/build/src/ssdMobilenetv1/SsdMobilenetv1Options.d.ts.map
new file mode 100644
index 0000000..dedbd3c
--- /dev/null
+++ b/build/src/ssdMobilenetv1/SsdMobilenetv1Options.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/SsdMobilenetv1Options.js b/build/src/ssdMobilenetv1/SsdMobilenetv1Options.js
similarity index 100%
rename from build/ssdMobilenetv1/SsdMobilenetv1Options.js
rename to build/src/ssdMobilenetv1/SsdMobilenetv1Options.js
diff --git a/build/src/ssdMobilenetv1/SsdMobilenetv1Options.js.map b/build/src/ssdMobilenetv1/SsdMobilenetv1Options.js.map
new file mode 100644
index 0000000..767eddf
--- /dev/null
+++ b/build/src/ssdMobilenetv1/SsdMobilenetv1Options.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/boxPredictionLayer.d.ts b/build/src/ssdMobilenetv1/boxPredictionLayer.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/boxPredictionLayer.d.ts
rename to build/src/ssdMobilenetv1/boxPredictionLayer.d.ts
diff --git a/build/src/ssdMobilenetv1/boxPredictionLayer.d.ts.map b/build/src/ssdMobilenetv1/boxPredictionLayer.d.ts.map
new file mode 100644
index 0000000..bb35ebd
--- /dev/null
+++ b/build/src/ssdMobilenetv1/boxPredictionLayer.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/boxPredictionLayer.js b/build/src/ssdMobilenetv1/boxPredictionLayer.js
similarity index 100%
rename from build/ssdMobilenetv1/boxPredictionLayer.js
rename to build/src/ssdMobilenetv1/boxPredictionLayer.js
diff --git a/build/src/ssdMobilenetv1/boxPredictionLayer.js.map b/build/src/ssdMobilenetv1/boxPredictionLayer.js.map
new file mode 100644
index 0000000..4201e38
--- /dev/null
+++ b/build/src/ssdMobilenetv1/boxPredictionLayer.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/extractParams.d.ts b/build/src/ssdMobilenetv1/extractParams.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/extractParams.d.ts
rename to build/src/ssdMobilenetv1/extractParams.d.ts
diff --git a/build/src/ssdMobilenetv1/extractParams.d.ts.map b/build/src/ssdMobilenetv1/extractParams.d.ts.map
new file mode 100644
index 0000000..3ac3fdd
--- /dev/null
+++ b/build/src/ssdMobilenetv1/extractParams.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/extractParams.js b/build/src/ssdMobilenetv1/extractParams.js
similarity index 100%
rename from build/ssdMobilenetv1/extractParams.js
rename to build/src/ssdMobilenetv1/extractParams.js
diff --git a/build/src/ssdMobilenetv1/extractParams.js.map b/build/src/ssdMobilenetv1/extractParams.js.map
new file mode 100644
index 0000000..3acc043
--- /dev/null
+++ b/build/src/ssdMobilenetv1/extractParams.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts b/build/src/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts
rename to build/src/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts
diff --git a/build/src/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts.map b/build/src/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts.map
new file mode 100644
index 0000000..f8992bb
--- /dev/null
+++ b/build/src/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/extractParamsFromWeigthMap.js b/build/src/ssdMobilenetv1/extractParamsFromWeigthMap.js
similarity index 100%
rename from build/ssdMobilenetv1/extractParamsFromWeigthMap.js
rename to build/src/ssdMobilenetv1/extractParamsFromWeigthMap.js
diff --git a/build/src/ssdMobilenetv1/extractParamsFromWeigthMap.js.map b/build/src/ssdMobilenetv1/extractParamsFromWeigthMap.js.map
new file mode 100644
index 0000000..33fa2a6
--- /dev/null
+++ b/build/src/ssdMobilenetv1/extractParamsFromWeigthMap.js.map
@@ -0,0 +1 @@
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diff --git a/build/ssdMobilenetv1/index.d.ts b/build/src/ssdMobilenetv1/index.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/index.d.ts
rename to build/src/ssdMobilenetv1/index.d.ts
diff --git a/build/src/ssdMobilenetv1/index.d.ts.map b/build/src/ssdMobilenetv1/index.d.ts.map
new file mode 100644
index 0000000..76d77d2
--- /dev/null
+++ b/build/src/ssdMobilenetv1/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/index.js b/build/src/ssdMobilenetv1/index.js
similarity index 100%
rename from build/ssdMobilenetv1/index.js
rename to build/src/ssdMobilenetv1/index.js
diff --git a/build/src/ssdMobilenetv1/index.js.map b/build/src/ssdMobilenetv1/index.js.map
new file mode 100644
index 0000000..3f044f2
--- /dev/null
+++ b/build/src/ssdMobilenetv1/index.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/mobileNetV1.d.ts b/build/src/ssdMobilenetv1/mobileNetV1.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/mobileNetV1.d.ts
rename to build/src/ssdMobilenetv1/mobileNetV1.d.ts
diff --git a/build/src/ssdMobilenetv1/mobileNetV1.d.ts.map b/build/src/ssdMobilenetv1/mobileNetV1.d.ts.map
new file mode 100644
index 0000000..01df15d
--- /dev/null
+++ b/build/src/ssdMobilenetv1/mobileNetV1.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/mobileNetV1.js b/build/src/ssdMobilenetv1/mobileNetV1.js
similarity index 100%
rename from build/ssdMobilenetv1/mobileNetV1.js
rename to build/src/ssdMobilenetv1/mobileNetV1.js
diff --git a/build/src/ssdMobilenetv1/mobileNetV1.js.map b/build/src/ssdMobilenetv1/mobileNetV1.js.map
new file mode 100644
index 0000000..dd7d536
--- /dev/null
+++ b/build/src/ssdMobilenetv1/mobileNetV1.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/nonMaxSuppression.d.ts b/build/src/ssdMobilenetv1/nonMaxSuppression.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/nonMaxSuppression.d.ts
rename to build/src/ssdMobilenetv1/nonMaxSuppression.d.ts
diff --git a/build/src/ssdMobilenetv1/nonMaxSuppression.d.ts.map b/build/src/ssdMobilenetv1/nonMaxSuppression.d.ts.map
new file mode 100644
index 0000000..450e00f
--- /dev/null
+++ b/build/src/ssdMobilenetv1/nonMaxSuppression.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/nonMaxSuppression.js b/build/src/ssdMobilenetv1/nonMaxSuppression.js
similarity index 100%
rename from build/ssdMobilenetv1/nonMaxSuppression.js
rename to build/src/ssdMobilenetv1/nonMaxSuppression.js
diff --git a/build/src/ssdMobilenetv1/nonMaxSuppression.js.map b/build/src/ssdMobilenetv1/nonMaxSuppression.js.map
new file mode 100644
index 0000000..37cf30d
--- /dev/null
+++ b/build/src/ssdMobilenetv1/nonMaxSuppression.js.map
@@ -0,0 +1 @@
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diff --git a/build/ssdMobilenetv1/outputLayer.d.ts b/build/src/ssdMobilenetv1/outputLayer.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/outputLayer.d.ts
rename to build/src/ssdMobilenetv1/outputLayer.d.ts
diff --git a/build/src/ssdMobilenetv1/outputLayer.d.ts.map b/build/src/ssdMobilenetv1/outputLayer.d.ts.map
new file mode 100644
index 0000000..7bfbafc
--- /dev/null
+++ b/build/src/ssdMobilenetv1/outputLayer.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/ssdMobilenetv1/outputLayer.js b/build/src/ssdMobilenetv1/outputLayer.js
similarity index 100%
rename from build/ssdMobilenetv1/outputLayer.js
rename to build/src/ssdMobilenetv1/outputLayer.js
diff --git a/build/src/ssdMobilenetv1/outputLayer.js.map b/build/src/ssdMobilenetv1/outputLayer.js.map
new file mode 100644
index 0000000..d68ec4d
--- /dev/null
+++ b/build/src/ssdMobilenetv1/outputLayer.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/pointwiseConvLayer.d.ts b/build/src/ssdMobilenetv1/pointwiseConvLayer.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/pointwiseConvLayer.d.ts
rename to build/src/ssdMobilenetv1/pointwiseConvLayer.d.ts
diff --git a/build/src/ssdMobilenetv1/pointwiseConvLayer.d.ts.map b/build/src/ssdMobilenetv1/pointwiseConvLayer.d.ts.map
new file mode 100644
index 0000000..80f7f63
--- /dev/null
+++ b/build/src/ssdMobilenetv1/pointwiseConvLayer.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/pointwiseConvLayer.js b/build/src/ssdMobilenetv1/pointwiseConvLayer.js
similarity index 100%
rename from build/ssdMobilenetv1/pointwiseConvLayer.js
rename to build/src/ssdMobilenetv1/pointwiseConvLayer.js
diff --git a/build/src/ssdMobilenetv1/pointwiseConvLayer.js.map b/build/src/ssdMobilenetv1/pointwiseConvLayer.js.map
new file mode 100644
index 0000000..627f706
--- /dev/null
+++ b/build/src/ssdMobilenetv1/pointwiseConvLayer.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/predictionLayer.d.ts b/build/src/ssdMobilenetv1/predictionLayer.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/predictionLayer.d.ts
rename to build/src/ssdMobilenetv1/predictionLayer.d.ts
diff --git a/build/src/ssdMobilenetv1/predictionLayer.d.ts.map b/build/src/ssdMobilenetv1/predictionLayer.d.ts.map
new file mode 100644
index 0000000..46d2ee5
--- /dev/null
+++ b/build/src/ssdMobilenetv1/predictionLayer.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/predictionLayer.js b/build/src/ssdMobilenetv1/predictionLayer.js
similarity index 100%
rename from build/ssdMobilenetv1/predictionLayer.js
rename to build/src/ssdMobilenetv1/predictionLayer.js
diff --git a/build/src/ssdMobilenetv1/predictionLayer.js.map b/build/src/ssdMobilenetv1/predictionLayer.js.map
new file mode 100644
index 0000000..0305394
--- /dev/null
+++ b/build/src/ssdMobilenetv1/predictionLayer.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/types.d.ts b/build/src/ssdMobilenetv1/types.d.ts
similarity index 100%
rename from build/ssdMobilenetv1/types.d.ts
rename to build/src/ssdMobilenetv1/types.d.ts
diff --git a/build/src/ssdMobilenetv1/types.d.ts.map b/build/src/ssdMobilenetv1/types.d.ts.map
new file mode 100644
index 0000000..b84f680
--- /dev/null
+++ b/build/src/ssdMobilenetv1/types.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/ssdMobilenetv1/types.js b/build/src/ssdMobilenetv1/types.js
similarity index 100%
rename from build/ssdMobilenetv1/types.js
rename to build/src/ssdMobilenetv1/types.js
diff --git a/build/src/ssdMobilenetv1/types.js.map b/build/src/ssdMobilenetv1/types.js.map
new file mode 100644
index 0000000..977d82a
--- /dev/null
+++ b/build/src/ssdMobilenetv1/types.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyFaceDetector/TinyFaceDetector.d.ts b/build/src/tinyFaceDetector/TinyFaceDetector.d.ts
similarity index 100%
rename from build/tinyFaceDetector/TinyFaceDetector.d.ts
rename to build/src/tinyFaceDetector/TinyFaceDetector.d.ts
diff --git a/build/src/tinyFaceDetector/TinyFaceDetector.d.ts.map b/build/src/tinyFaceDetector/TinyFaceDetector.d.ts.map
new file mode 100644
index 0000000..3b895db
--- /dev/null
+++ b/build/src/tinyFaceDetector/TinyFaceDetector.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/tinyFaceDetector/TinyFaceDetector.js b/build/src/tinyFaceDetector/TinyFaceDetector.js
similarity index 100%
rename from build/tinyFaceDetector/TinyFaceDetector.js
rename to build/src/tinyFaceDetector/TinyFaceDetector.js
diff --git a/build/src/tinyFaceDetector/TinyFaceDetector.js.map b/build/src/tinyFaceDetector/TinyFaceDetector.js.map
new file mode 100644
index 0000000..ec66b24
--- /dev/null
+++ b/build/src/tinyFaceDetector/TinyFaceDetector.js.map
@@ -0,0 +1 @@
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diff --git a/build/tinyFaceDetector/TinyFaceDetectorOptions.d.ts b/build/src/tinyFaceDetector/TinyFaceDetectorOptions.d.ts
similarity index 100%
rename from build/tinyFaceDetector/TinyFaceDetectorOptions.d.ts
rename to build/src/tinyFaceDetector/TinyFaceDetectorOptions.d.ts
diff --git a/build/src/tinyFaceDetector/TinyFaceDetectorOptions.d.ts.map b/build/src/tinyFaceDetector/TinyFaceDetectorOptions.d.ts.map
new file mode 100644
index 0000000..e86f3c4
--- /dev/null
+++ b/build/src/tinyFaceDetector/TinyFaceDetectorOptions.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyFaceDetector/TinyFaceDetectorOptions.js b/build/src/tinyFaceDetector/TinyFaceDetectorOptions.js
similarity index 100%
rename from build/tinyFaceDetector/TinyFaceDetectorOptions.js
rename to build/src/tinyFaceDetector/TinyFaceDetectorOptions.js
diff --git a/build/src/tinyFaceDetector/TinyFaceDetectorOptions.js.map b/build/src/tinyFaceDetector/TinyFaceDetectorOptions.js.map
new file mode 100644
index 0000000..77d9f63
--- /dev/null
+++ b/build/src/tinyFaceDetector/TinyFaceDetectorOptions.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyFaceDetector/const.d.ts b/build/src/tinyFaceDetector/const.d.ts
similarity index 100%
rename from build/tinyFaceDetector/const.d.ts
rename to build/src/tinyFaceDetector/const.d.ts
diff --git a/build/src/tinyFaceDetector/const.d.ts.map b/build/src/tinyFaceDetector/const.d.ts.map
new file mode 100644
index 0000000..d6c3494
--- /dev/null
+++ b/build/src/tinyFaceDetector/const.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyFaceDetector/const.js b/build/src/tinyFaceDetector/const.js
similarity index 100%
rename from build/tinyFaceDetector/const.js
rename to build/src/tinyFaceDetector/const.js
diff --git a/build/src/tinyFaceDetector/const.js.map b/build/src/tinyFaceDetector/const.js.map
new file mode 100644
index 0000000..369850e
--- /dev/null
+++ b/build/src/tinyFaceDetector/const.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyFaceDetector/index.d.ts b/build/src/tinyFaceDetector/index.d.ts
similarity index 100%
rename from build/tinyFaceDetector/index.d.ts
rename to build/src/tinyFaceDetector/index.d.ts
diff --git a/build/src/tinyFaceDetector/index.d.ts.map b/build/src/tinyFaceDetector/index.d.ts.map
new file mode 100644
index 0000000..e991593
--- /dev/null
+++ b/build/src/tinyFaceDetector/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyFaceDetector/index.js b/build/src/tinyFaceDetector/index.js
similarity index 100%
rename from build/tinyFaceDetector/index.js
rename to build/src/tinyFaceDetector/index.js
diff --git a/build/src/tinyFaceDetector/index.js.map b/build/src/tinyFaceDetector/index.js.map
new file mode 100644
index 0000000..549dfee
--- /dev/null
+++ b/build/src/tinyFaceDetector/index.js.map
@@ -0,0 +1 @@
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diff --git a/build/tinyYolov2/TinyYolov2.d.ts b/build/src/tinyYolov2/TinyYolov2.d.ts
similarity index 100%
rename from build/tinyYolov2/TinyYolov2.d.ts
rename to build/src/tinyYolov2/TinyYolov2.d.ts
diff --git a/build/src/tinyYolov2/TinyYolov2.d.ts.map b/build/src/tinyYolov2/TinyYolov2.d.ts.map
new file mode 100644
index 0000000..3108af1
--- /dev/null
+++ b/build/src/tinyYolov2/TinyYolov2.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/TinyYolov2.js b/build/src/tinyYolov2/TinyYolov2.js
similarity index 100%
rename from build/tinyYolov2/TinyYolov2.js
rename to build/src/tinyYolov2/TinyYolov2.js
diff --git a/build/src/tinyYolov2/TinyYolov2.js.map b/build/src/tinyYolov2/TinyYolov2.js.map
new file mode 100644
index 0000000..4c95c57
--- /dev/null
+++ b/build/src/tinyYolov2/TinyYolov2.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/TinyYolov2Base.d.ts b/build/src/tinyYolov2/TinyYolov2Base.d.ts
similarity index 100%
rename from build/tinyYolov2/TinyYolov2Base.d.ts
rename to build/src/tinyYolov2/TinyYolov2Base.d.ts
diff --git a/build/src/tinyYolov2/TinyYolov2Base.d.ts.map b/build/src/tinyYolov2/TinyYolov2Base.d.ts.map
new file mode 100644
index 0000000..ca79b71
--- /dev/null
+++ b/build/src/tinyYolov2/TinyYolov2Base.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"TinyYolov2Base.d.ts","sourceRoot":"","sources":["../../../src/tinyYolov2/TinyYolov2Base.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,WAAW,EAAE,MAAM,wBAAwB,CAAC;AACrD,OAAO,EAAE,UAAU,EAAE,MAAM,uBAAuB,CAAC;AACnD,OAAO,EAAE,eAAe,EAAE,MAAM,4BAA4B,CAAC;AAI7D,OAAO,EAAE,QAAQ,EAAE,MAAM,iBAAiB,CAAC;AAC3C,OAAO,EAAE,SAAS,EAAE,MAAM,cAAc,CAAC;AACzC,OAAO,EAAE,aAAa,EAAE,MAAM,kBAAkB,CAAC;AAIjD,OAAO,EAAE,gBAAgB,EAAkB,MAAM,UAAU,CAAC;AAM5D,OAAO,EAAE,kBAAkB,EAAqB,MAAM,qBAAqB,CAAC;AAC5E,OAAO,EAAE,0BAA0B,EAAE,eAAe,EAAE,mBAAmB,EAAE,MAAM,SAAS,CAAC;AAE3F,qBAAa,cAAe,SAAQ,aAAa,CAAC,mBAAmB,CAAC;IAEpE,OAAc,oBAAoB,WAEjC;IAED,OAAO,CAAC,OAAO,CAAkB;gBAErB,MAAM,EAAE,gBAAgB;IAMpC,IAAW,MAAM,IAAI,gBAAgB,CAEpC;IAED,IAAW,eAAe,IAAI,OAAO,CAEpC;IAED,IAAW,eAAe,IAAI,MAAM,CAEnC;IAEM,aAAa,CAAC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,MAAM,EAAE,0BAA0B,GAAG,EAAE,CAAC,QAAQ;IAoB9E,YAAY,CAAC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,MAAM,EAAE,eAAe,GAAG,EAAE,CAAC,QAAQ;IAsBlE,YAAY,CAAC,KAAK,EAAE,QAAQ,EAAE,SAAS,EAAE,MAAM,GAAG,EAAE,CAAC,QAAQ;IAuBvD,OAAO,CAAC,KAAK,EAAE,SAAS,EAAE,SAAS,EAAE,MAAM,GAAG,OAAO,CAAC,EAAE,CAAC,QAAQ,CAAC;IAIlE,MAAM,CAAC,KAAK,EAAE,SAAS,EAAE,aAAa,GAAE,kBAAuB,GAAG,OAAO,CAAC,eAAe,EAAE,CAAC;IA0CzG,SAAS,CAAC,mBAAmB,IAAI,MAAM;IAIvC,SAAS,CAAC,0BAA0B,CAAC,SAAS,EAAE,EAAE,CAAC,cAAc;;;;IAIjE,SAAS,CAAC,aAAa,CAAC,OAAO,EAAE,YAAY;;;;cAU7B,YAAY,CAC1B,YAAY,EAAE,EAAE,CAAC,QAAQ,EACzB,mBAAmB,EAAE,UAAU,EAC/B,cAAc,CAAC,EAAE,MAAM;;;;;;;;;YAgEX,qBAAqB;CAWpC"}
\ No newline at end of file
diff --git a/build/tinyYolov2/TinyYolov2Base.js b/build/src/tinyYolov2/TinyYolov2Base.js
similarity index 97%
rename from build/tinyYolov2/TinyYolov2Base.js
rename to build/src/tinyYolov2/TinyYolov2Base.js
index 051ee3f..b7bd23c 100644
--- a/build/tinyYolov2/TinyYolov2Base.js
+++ b/build/src/tinyYolov2/TinyYolov2Base.js
@@ -71,7 +71,8 @@ export class TinyYolov2Base extends NeuralNetwork {
             throw new Error('TinyYolov2 - load model before inference');
         }
         return tf.tidy(() => {
-            let batchTensor = input.toBatchTensor(inputSize, false).toFloat();
+            // let batchTensor = input.toBatchTensor(inputSize, false).toFloat()
+            let batchTensor = tf.cast(input.toBatchTensor(inputSize, false), 'float32');
             batchTensor = this.config.meanRgb
                 ? normalize(batchTensor, this.config.meanRgb)
                 : batchTensor;
diff --git a/build/src/tinyYolov2/TinyYolov2Base.js.map b/build/src/tinyYolov2/TinyYolov2Base.js.map
new file mode 100644
index 0000000..6a61a62
--- /dev/null
+++ b/build/src/tinyYolov2/TinyYolov2Base.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/TinyYolov2Options.d.ts b/build/src/tinyYolov2/TinyYolov2Options.d.ts
similarity index 100%
rename from build/tinyYolov2/TinyYolov2Options.d.ts
rename to build/src/tinyYolov2/TinyYolov2Options.d.ts
diff --git a/build/src/tinyYolov2/TinyYolov2Options.d.ts.map b/build/src/tinyYolov2/TinyYolov2Options.d.ts.map
new file mode 100644
index 0000000..5f132ef
--- /dev/null
+++ b/build/src/tinyYolov2/TinyYolov2Options.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/TinyYolov2Options.js b/build/src/tinyYolov2/TinyYolov2Options.js
similarity index 100%
rename from build/tinyYolov2/TinyYolov2Options.js
rename to build/src/tinyYolov2/TinyYolov2Options.js
diff --git a/build/src/tinyYolov2/TinyYolov2Options.js.map b/build/src/tinyYolov2/TinyYolov2Options.js.map
new file mode 100644
index 0000000..78604bd
--- /dev/null
+++ b/build/src/tinyYolov2/TinyYolov2Options.js.map
@@ -0,0 +1 @@
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diff --git a/build/tinyYolov2/config.d.ts b/build/src/tinyYolov2/config.d.ts
similarity index 100%
rename from build/tinyYolov2/config.d.ts
rename to build/src/tinyYolov2/config.d.ts
diff --git a/build/src/tinyYolov2/config.d.ts.map b/build/src/tinyYolov2/config.d.ts.map
new file mode 100644
index 0000000..46419c4
--- /dev/null
+++ b/build/src/tinyYolov2/config.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/tinyYolov2/config.js b/build/src/tinyYolov2/config.js
similarity index 100%
rename from build/tinyYolov2/config.js
rename to build/src/tinyYolov2/config.js
diff --git a/build/src/tinyYolov2/config.js.map b/build/src/tinyYolov2/config.js.map
new file mode 100644
index 0000000..75dfb0e
--- /dev/null
+++ b/build/src/tinyYolov2/config.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/const.d.ts b/build/src/tinyYolov2/const.d.ts
similarity index 100%
rename from build/tinyYolov2/const.d.ts
rename to build/src/tinyYolov2/const.d.ts
diff --git a/build/src/tinyYolov2/const.d.ts.map b/build/src/tinyYolov2/const.d.ts.map
new file mode 100644
index 0000000..23f7e7b
--- /dev/null
+++ b/build/src/tinyYolov2/const.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/tinyYolov2/const.js b/build/src/tinyYolov2/const.js
similarity index 100%
rename from build/tinyYolov2/const.js
rename to build/src/tinyYolov2/const.js
diff --git a/build/src/tinyYolov2/const.js.map b/build/src/tinyYolov2/const.js.map
new file mode 100644
index 0000000..5e25381
--- /dev/null
+++ b/build/src/tinyYolov2/const.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/convWithBatchNorm.d.ts b/build/src/tinyYolov2/convWithBatchNorm.d.ts
similarity index 100%
rename from build/tinyYolov2/convWithBatchNorm.d.ts
rename to build/src/tinyYolov2/convWithBatchNorm.d.ts
diff --git a/build/src/tinyYolov2/convWithBatchNorm.d.ts.map b/build/src/tinyYolov2/convWithBatchNorm.d.ts.map
new file mode 100644
index 0000000..93c843f
--- /dev/null
+++ b/build/src/tinyYolov2/convWithBatchNorm.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/convWithBatchNorm.js b/build/src/tinyYolov2/convWithBatchNorm.js
similarity index 100%
rename from build/tinyYolov2/convWithBatchNorm.js
rename to build/src/tinyYolov2/convWithBatchNorm.js
diff --git a/build/src/tinyYolov2/convWithBatchNorm.js.map b/build/src/tinyYolov2/convWithBatchNorm.js.map
new file mode 100644
index 0000000..1d12831
--- /dev/null
+++ b/build/src/tinyYolov2/convWithBatchNorm.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/depthwiseSeparableConv.d.ts b/build/src/tinyYolov2/depthwiseSeparableConv.d.ts
similarity index 100%
rename from build/tinyYolov2/depthwiseSeparableConv.d.ts
rename to build/src/tinyYolov2/depthwiseSeparableConv.d.ts
diff --git a/build/src/tinyYolov2/depthwiseSeparableConv.d.ts.map b/build/src/tinyYolov2/depthwiseSeparableConv.d.ts.map
new file mode 100644
index 0000000..d7f67e3
--- /dev/null
+++ b/build/src/tinyYolov2/depthwiseSeparableConv.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/depthwiseSeparableConv.js b/build/src/tinyYolov2/depthwiseSeparableConv.js
similarity index 100%
rename from build/tinyYolov2/depthwiseSeparableConv.js
rename to build/src/tinyYolov2/depthwiseSeparableConv.js
diff --git a/build/src/tinyYolov2/depthwiseSeparableConv.js.map b/build/src/tinyYolov2/depthwiseSeparableConv.js.map
new file mode 100644
index 0000000..f3c53f9
--- /dev/null
+++ b/build/src/tinyYolov2/depthwiseSeparableConv.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/extractParams.d.ts b/build/src/tinyYolov2/extractParams.d.ts
similarity index 100%
rename from build/tinyYolov2/extractParams.d.ts
rename to build/src/tinyYolov2/extractParams.d.ts
diff --git a/build/src/tinyYolov2/extractParams.d.ts.map b/build/src/tinyYolov2/extractParams.d.ts.map
new file mode 100644
index 0000000..5cb01d6
--- /dev/null
+++ b/build/src/tinyYolov2/extractParams.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/extractParams.js b/build/src/tinyYolov2/extractParams.js
similarity index 100%
rename from build/tinyYolov2/extractParams.js
rename to build/src/tinyYolov2/extractParams.js
diff --git a/build/src/tinyYolov2/extractParams.js.map b/build/src/tinyYolov2/extractParams.js.map
new file mode 100644
index 0000000..971e75c
--- /dev/null
+++ b/build/src/tinyYolov2/extractParams.js.map
@@ -0,0 +1 @@
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diff --git a/build/tinyYolov2/extractParamsFromWeigthMap.d.ts b/build/src/tinyYolov2/extractParamsFromWeigthMap.d.ts
similarity index 100%
rename from build/tinyYolov2/extractParamsFromWeigthMap.d.ts
rename to build/src/tinyYolov2/extractParamsFromWeigthMap.d.ts
diff --git a/build/src/tinyYolov2/extractParamsFromWeigthMap.d.ts.map b/build/src/tinyYolov2/extractParamsFromWeigthMap.d.ts.map
new file mode 100644
index 0000000..939461d
--- /dev/null
+++ b/build/src/tinyYolov2/extractParamsFromWeigthMap.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/extractParamsFromWeigthMap.js b/build/src/tinyYolov2/extractParamsFromWeigthMap.js
similarity index 100%
rename from build/tinyYolov2/extractParamsFromWeigthMap.js
rename to build/src/tinyYolov2/extractParamsFromWeigthMap.js
diff --git a/build/src/tinyYolov2/extractParamsFromWeigthMap.js.map b/build/src/tinyYolov2/extractParamsFromWeigthMap.js.map
new file mode 100644
index 0000000..d3a3262
--- /dev/null
+++ b/build/src/tinyYolov2/extractParamsFromWeigthMap.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/index.d.ts b/build/src/tinyYolov2/index.d.ts
similarity index 100%
rename from build/tinyYolov2/index.d.ts
rename to build/src/tinyYolov2/index.d.ts
diff --git a/build/src/tinyYolov2/index.d.ts.map b/build/src/tinyYolov2/index.d.ts.map
new file mode 100644
index 0000000..a036a22
--- /dev/null
+++ b/build/src/tinyYolov2/index.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/tinyYolov2/index.js b/build/src/tinyYolov2/index.js
similarity index 100%
rename from build/tinyYolov2/index.js
rename to build/src/tinyYolov2/index.js
diff --git a/build/src/tinyYolov2/index.js.map b/build/src/tinyYolov2/index.js.map
new file mode 100644
index 0000000..7c42c70
--- /dev/null
+++ b/build/src/tinyYolov2/index.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/tinyYolov2/index.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,UAAU,EAAE,MAAM,cAAc,CAAC;AAE1C,cAAc,qBAAqB,CAAC;AAEpC,cAAc,UAAU,CAAA;AACxB,cAAc,SAAS,CAAA;AAEvB,OAAO,EAAE,UAAU,EAAE,CAAA;AAErB,MAAM,UAAU,gBAAgB,CAAC,OAAqB,EAAE,qBAA8B,IAAI;IACxF,MAAM,GAAG,GAAG,IAAI,UAAU,CAAC,kBAAkB,CAAC,CAAA;IAC9C,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC"}
\ No newline at end of file
diff --git a/build/tinyYolov2/leaky.d.ts b/build/src/tinyYolov2/leaky.d.ts
similarity index 100%
rename from build/tinyYolov2/leaky.d.ts
rename to build/src/tinyYolov2/leaky.d.ts
diff --git a/build/src/tinyYolov2/leaky.d.ts.map b/build/src/tinyYolov2/leaky.d.ts.map
new file mode 100644
index 0000000..246ab2a
--- /dev/null
+++ b/build/src/tinyYolov2/leaky.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"leaky.d.ts","sourceRoot":"","sources":["../../../src/tinyYolov2/leaky.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,wBAAgB,KAAK,CAAC,CAAC,EAAE,EAAE,CAAC,QAAQ,GAAG,EAAE,CAAC,QAAQ,CAMjD"}
\ No newline at end of file
diff --git a/build/tinyYolov2/leaky.js b/build/src/tinyYolov2/leaky.js
similarity index 100%
rename from build/tinyYolov2/leaky.js
rename to build/src/tinyYolov2/leaky.js
diff --git a/build/src/tinyYolov2/leaky.js.map b/build/src/tinyYolov2/leaky.js.map
new file mode 100644
index 0000000..cbaebff
--- /dev/null
+++ b/build/src/tinyYolov2/leaky.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"leaky.js","sourceRoot":"","sources":["../../../src/tinyYolov2/leaky.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,MAAM,UAAU,KAAK,CAAC,CAAc;IAClC,OAAO,EAAE,CAAC,IAAI,CAAC,GAAG,EAAE;QAClB,MAAM,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,mBAAmB,CAAC,CAAC,CAAA;QACrD,OAAO,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,EAAE,GAAG,CAAC,CAAA;QAC3C,2BAA2B;IAC7B,CAAC,CAAC,CAAA;AACJ,CAAC"}
\ No newline at end of file
diff --git a/build/tinyYolov2/types.d.ts b/build/src/tinyYolov2/types.d.ts
similarity index 100%
rename from build/tinyYolov2/types.d.ts
rename to build/src/tinyYolov2/types.d.ts
diff --git a/build/src/tinyYolov2/types.d.ts.map b/build/src/tinyYolov2/types.d.ts.map
new file mode 100644
index 0000000..9587562
--- /dev/null
+++ b/build/src/tinyYolov2/types.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"types.d.ts","sourceRoot":"","sources":["../../../src/tinyYolov2/types.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,UAAU,EAAE,MAAM,WAAW,CAAC;AACvC,OAAO,EAAE,mBAAmB,EAAE,MAAM,iBAAiB,CAAC;AAEtD,oBAAY,SAAS,GAAG;IACtB,GAAG,EAAE,EAAE,CAAC,QAAQ,CAAA;IAChB,OAAO,EAAE,EAAE,CAAC,QAAQ,CAAA;CACrB,CAAA;AAED,oBAAY,iBAAiB,GAAG;IAC9B,IAAI,EAAE,UAAU,CAAA;IAChB,EAAE,EAAE,SAAS,CAAA;CACd,CAAA;AAED,oBAAY,eAAe,GAAG;IAC5B,KAAK,EAAE,mBAAmB,GAAG,UAAU,CAAA;IACvC,KAAK,EAAE,mBAAmB,CAAA;IAC1B,KAAK,EAAE,mBAAmB,CAAA;IAC1B,KAAK,EAAE,mBAAmB,CAAA;IAC1B,KAAK,EAAE,mBAAmB,CAAA;IAC1B,KAAK,EAAE,mBAAmB,CAAA;IAC1B,KAAK,CAAC,EAAE,mBAAmB,CAAA;IAC3B,KAAK,CAAC,EAAE,mBAAmB,CAAA;IAC3B,KAAK,EAAE,UAAU,CAAA;CAClB,CAAA;AAED,oBAAY,0BAA0B,GAAG;IACvC,KAAK,EAAE,iBAAiB,CAAA;IACxB,KAAK,EAAE,iBAAiB,CAAA;IACxB,KAAK,EAAE,iBAAiB,CAAA;IACxB,KAAK,EAAE,iBAAiB,CAAA;IACxB,KAAK,EAAE,iBAAiB,CAAA;IACxB,KAAK,EAAE,iBAAiB,CAAA;IACxB,KAAK,EAAE,iBAAiB,CAAA;IACxB,KAAK,EAAE,iBAAiB,CAAA;IACxB,KAAK,EAAE,UAAU,CAAA;CAClB,CAAA;AAED,oBAAY,mBAAmB,GAAG,0BAA0B,GAAG,eAAe,CAAA"}
\ No newline at end of file
diff --git a/build/tinyYolov2/types.js b/build/src/tinyYolov2/types.js
similarity index 100%
rename from build/tinyYolov2/types.js
rename to build/src/tinyYolov2/types.js
diff --git a/build/faceProcessor/types.js.map b/build/src/tinyYolov2/types.js.map
similarity index 53%
rename from build/faceProcessor/types.js.map
rename to build/src/tinyYolov2/types.js.map
index 86dee21..4b1403d 100644
--- a/build/faceProcessor/types.js.map
+++ b/build/src/tinyYolov2/types.js.map
@@ -1 +1 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../src/faceProcessor/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
+{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/tinyYolov2/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/utils/index.d.ts b/build/src/utils/index.d.ts
similarity index 100%
rename from build/utils/index.d.ts
rename to build/src/utils/index.d.ts
diff --git a/build/src/utils/index.d.ts.map b/build/src/utils/index.d.ts.map
new file mode 100644
index 0000000..f7c3a0f
--- /dev/null
+++ b/build/src/utils/index.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/utils/index.js b/build/src/utils/index.js
similarity index 100%
rename from build/utils/index.js
rename to build/src/utils/index.js
diff --git a/build/src/utils/index.js.map b/build/src/utils/index.js.map
new file mode 100644
index 0000000..3e51308
--- /dev/null
+++ b/build/src/utils/index.js.map
@@ -0,0 +1 @@
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diff --git a/build/xception/TinyXception.d.ts b/build/src/xception/TinyXception.d.ts
similarity index 100%
rename from build/xception/TinyXception.d.ts
rename to build/src/xception/TinyXception.d.ts
diff --git a/build/src/xception/TinyXception.d.ts.map b/build/src/xception/TinyXception.d.ts.map
new file mode 100644
index 0000000..79266e2
--- /dev/null
+++ b/build/src/xception/TinyXception.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/xception/TinyXception.js b/build/src/xception/TinyXception.js
similarity index 100%
rename from build/xception/TinyXception.js
rename to build/src/xception/TinyXception.js
diff --git a/build/src/xception/TinyXception.js.map b/build/src/xception/TinyXception.js.map
new file mode 100644
index 0000000..f9e3f75
--- /dev/null
+++ b/build/src/xception/TinyXception.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/xception/extractParams.d.ts b/build/src/xception/extractParams.d.ts
similarity index 100%
rename from build/xception/extractParams.d.ts
rename to build/src/xception/extractParams.d.ts
diff --git a/build/src/xception/extractParams.d.ts.map b/build/src/xception/extractParams.d.ts.map
new file mode 100644
index 0000000..5e2ab79
--- /dev/null
+++ b/build/src/xception/extractParams.d.ts.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/xception/extractParams.js b/build/src/xception/extractParams.js
similarity index 100%
rename from build/xception/extractParams.js
rename to build/src/xception/extractParams.js
diff --git a/build/src/xception/extractParams.js.map b/build/src/xception/extractParams.js.map
new file mode 100644
index 0000000..b97542f
--- /dev/null
+++ b/build/src/xception/extractParams.js.map
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/build/xception/extractParamsFromWeigthMap.d.ts b/build/src/xception/extractParamsFromWeigthMap.d.ts
similarity index 100%
rename from build/xception/extractParamsFromWeigthMap.d.ts
rename to build/src/xception/extractParamsFromWeigthMap.d.ts
diff --git a/build/src/xception/extractParamsFromWeigthMap.d.ts.map b/build/src/xception/extractParamsFromWeigthMap.d.ts.map
new file mode 100644
index 0000000..0945103
--- /dev/null
+++ b/build/src/xception/extractParamsFromWeigthMap.d.ts.map
@@ -0,0 +1 @@
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diff --git a/build/xception/extractParamsFromWeigthMap.js b/build/src/xception/extractParamsFromWeigthMap.js
similarity index 100%
rename from build/xception/extractParamsFromWeigthMap.js
rename to build/src/xception/extractParamsFromWeigthMap.js
diff --git a/build/src/xception/extractParamsFromWeigthMap.js.map b/build/src/xception/extractParamsFromWeigthMap.js.map
new file mode 100644
index 0000000..4fabe2b
--- /dev/null
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diff --git a/build/xception/index.d.ts b/build/src/xception/index.d.ts
similarity index 100%
rename from build/xception/index.d.ts
rename to build/src/xception/index.d.ts
diff --git a/build/src/xception/index.d.ts.map b/build/src/xception/index.d.ts.map
new file mode 100644
index 0000000..33b34db
--- /dev/null
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diff --git a/build/xception/index.js b/build/src/xception/index.js
similarity index 100%
rename from build/xception/index.js
rename to build/src/xception/index.js
diff --git a/build/src/xception/index.js.map b/build/src/xception/index.js.map
new file mode 100644
index 0000000..b3f3477
--- /dev/null
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diff --git a/build/xception/types.d.ts b/build/src/xception/types.d.ts
similarity index 100%
rename from build/xception/types.d.ts
rename to build/src/xception/types.d.ts
diff --git a/build/src/xception/types.d.ts.map b/build/src/xception/types.d.ts.map
new file mode 100644
index 0000000..a6fba80
--- /dev/null
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diff --git a/build/xception/types.js b/build/src/xception/types.js
similarity index 100%
rename from build/xception/types.js
rename to build/src/xception/types.js
diff --git a/build/tinyYolov2/types.js.map b/build/src/xception/types.js.map
similarity index 54%
rename from build/tinyYolov2/types.js.map
rename to build/src/xception/types.js.map
index 85a0149..e49bdd1 100644
--- a/build/tinyYolov2/types.js.map
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diff --git a/build/ssdMobilenetv1/SsdMobilenetv1.d.ts.map b/build/ssdMobilenetv1/SsdMobilenetv1.d.ts.map
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index 70a16b0..0000000
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diff --git a/build/ssdMobilenetv1/SsdMobilenetv1.js.map b/build/ssdMobilenetv1/SsdMobilenetv1.js.map
deleted file mode 100644
index 448a2f0..0000000
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diff --git a/build/ssdMobilenetv1/SsdMobilenetv1Options.d.ts.map b/build/ssdMobilenetv1/SsdMobilenetv1Options.d.ts.map
deleted file mode 100644
index f159f41..0000000
--- a/build/ssdMobilenetv1/SsdMobilenetv1Options.d.ts.map
+++ /dev/null
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diff --git a/build/ssdMobilenetv1/SsdMobilenetv1Options.js.map b/build/ssdMobilenetv1/SsdMobilenetv1Options.js.map
deleted file mode 100644
index 4de33c6..0000000
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diff --git a/build/ssdMobilenetv1/boxPredictionLayer.d.ts.map b/build/ssdMobilenetv1/boxPredictionLayer.d.ts.map
deleted file mode 100644
index 245a71d..0000000
--- a/build/ssdMobilenetv1/boxPredictionLayer.d.ts.map
+++ /dev/null
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diff --git a/build/ssdMobilenetv1/boxPredictionLayer.js.map b/build/ssdMobilenetv1/boxPredictionLayer.js.map
deleted file mode 100644
index 93497d7..0000000
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diff --git a/build/ssdMobilenetv1/extractParams.d.ts.map b/build/ssdMobilenetv1/extractParams.d.ts.map
deleted file mode 100644
index 0b1ab49..0000000
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diff --git a/build/ssdMobilenetv1/extractParams.js.map b/build/ssdMobilenetv1/extractParams.js.map
deleted file mode 100644
index 7757ed6..0000000
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\ No newline at end of file
diff --git a/build/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts.map b/build/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts.map
deleted file mode 100644
index 7f09d00..0000000
--- a/build/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/ssdMobilenetv1/extractParamsFromWeigthMap.js.map b/build/ssdMobilenetv1/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index b60921e..0000000
--- a/build/ssdMobilenetv1/extractParamsFromWeigthMap.js.map
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diff --git a/build/ssdMobilenetv1/nonMaxSuppression.d.ts.map b/build/ssdMobilenetv1/nonMaxSuppression.d.ts.map
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diff --git a/build/ssdMobilenetv1/outputLayer.d.ts.map b/build/ssdMobilenetv1/outputLayer.d.ts.map
deleted file mode 100644
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diff --git a/build/ssdMobilenetv1/outputLayer.js.map b/build/ssdMobilenetv1/outputLayer.js.map
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index 895fb27..0000000
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diff --git a/build/ssdMobilenetv1/pointwiseConvLayer.d.ts.map b/build/ssdMobilenetv1/pointwiseConvLayer.d.ts.map
deleted file mode 100644
index 2075ede..0000000
--- a/build/ssdMobilenetv1/pointwiseConvLayer.d.ts.map
+++ /dev/null
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diff --git a/build/ssdMobilenetv1/pointwiseConvLayer.js.map b/build/ssdMobilenetv1/pointwiseConvLayer.js.map
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index 7b1686d..0000000
--- a/build/ssdMobilenetv1/pointwiseConvLayer.js.map
+++ /dev/null
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diff --git a/build/ssdMobilenetv1/predictionLayer.d.ts.map b/build/ssdMobilenetv1/predictionLayer.d.ts.map
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index c49a5c9..0000000
--- a/build/ssdMobilenetv1/predictionLayer.d.ts.map
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diff --git a/build/ssdMobilenetv1/predictionLayer.js.map b/build/ssdMobilenetv1/predictionLayer.js.map
deleted file mode 100644
index 0b5ce45..0000000
--- a/build/ssdMobilenetv1/predictionLayer.js.map
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diff --git a/build/ssdMobilenetv1/types.d.ts.map b/build/ssdMobilenetv1/types.d.ts.map
deleted file mode 100644
index b9f2056..0000000
--- a/build/ssdMobilenetv1/types.d.ts.map
+++ /dev/null
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diff --git a/build/ssdMobilenetv1/types.js.map b/build/ssdMobilenetv1/types.js.map
deleted file mode 100644
index c7a2d5f..0000000
--- a/build/ssdMobilenetv1/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/tinyFaceDetector/TinyFaceDetector.d.ts.map b/build/tinyFaceDetector/TinyFaceDetector.d.ts.map
deleted file mode 100644
index bc85819..0000000
--- a/build/tinyFaceDetector/TinyFaceDetector.d.ts.map
+++ /dev/null
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diff --git a/build/tinyFaceDetector/TinyFaceDetector.js.map b/build/tinyFaceDetector/TinyFaceDetector.js.map
deleted file mode 100644
index 0e3f274..0000000
--- a/build/tinyFaceDetector/TinyFaceDetector.js.map
+++ /dev/null
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diff --git a/build/tinyYolov2/TinyYolov2.d.ts.map b/build/tinyYolov2/TinyYolov2.d.ts.map
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diff --git a/build/tinyYolov2/TinyYolov2.js.map b/build/tinyYolov2/TinyYolov2.js.map
deleted file mode 100644
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diff --git a/build/tinyYolov2/TinyYolov2Base.d.ts.map b/build/tinyYolov2/TinyYolov2Base.d.ts.map
deleted file mode 100644
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diff --git a/build/tinyYolov2/TinyYolov2Base.js.map b/build/tinyYolov2/TinyYolov2Base.js.map
deleted file mode 100644
index e507cbd..0000000
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diff --git a/build/tinyYolov2/TinyYolov2Options.d.ts.map b/build/tinyYolov2/TinyYolov2Options.d.ts.map
deleted file mode 100644
index ca4c4a0..0000000
--- a/build/tinyYolov2/TinyYolov2Options.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/build/tinyYolov2/TinyYolov2Options.js.map b/build/tinyYolov2/TinyYolov2Options.js.map
deleted file mode 100644
index b5cdada..0000000
--- a/build/tinyYolov2/TinyYolov2Options.js.map
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diff --git a/build/tinyYolov2/config.d.ts.map b/build/tinyYolov2/config.d.ts.map
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diff --git a/build/tinyYolov2/config.js.map b/build/tinyYolov2/config.js.map
deleted file mode 100644
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diff --git a/build/tinyYolov2/const.d.ts.map b/build/tinyYolov2/const.d.ts.map
deleted file mode 100644
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diff --git a/build/tinyYolov2/const.js.map b/build/tinyYolov2/const.js.map
deleted file mode 100644
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diff --git a/build/tinyYolov2/convWithBatchNorm.d.ts.map b/build/tinyYolov2/convWithBatchNorm.d.ts.map
deleted file mode 100644
index 91be0a8..0000000
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diff --git a/build/tinyYolov2/convWithBatchNorm.js.map b/build/tinyYolov2/convWithBatchNorm.js.map
deleted file mode 100644
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diff --git a/build/tinyYolov2/depthwiseSeparableConv.d.ts.map b/build/tinyYolov2/depthwiseSeparableConv.d.ts.map
deleted file mode 100644
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diff --git a/build/tinyYolov2/depthwiseSeparableConv.js.map b/build/tinyYolov2/depthwiseSeparableConv.js.map
deleted file mode 100644
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diff --git a/build/tinyYolov2/extractParams.d.ts.map b/build/tinyYolov2/extractParams.d.ts.map
deleted file mode 100644
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diff --git a/build/tinyYolov2/extractParams.js.map b/build/tinyYolov2/extractParams.js.map
deleted file mode 100644
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diff --git a/build/tinyYolov2/extractParamsFromWeigthMap.d.ts.map b/build/tinyYolov2/extractParamsFromWeigthMap.d.ts.map
deleted file mode 100644
index 9257df0..0000000
--- a/build/tinyYolov2/extractParamsFromWeigthMap.d.ts.map
+++ /dev/null
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diff --git a/build/tinyYolov2/extractParamsFromWeigthMap.js.map b/build/tinyYolov2/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index 74f73fb..0000000
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diff --git a/build/tinyYolov2/index.d.ts.map b/build/tinyYolov2/index.d.ts.map
deleted file mode 100644
index 5dc96df..0000000
--- a/build/tinyYolov2/index.d.ts.map
+++ /dev/null
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diff --git a/build/tinyYolov2/index.js.map b/build/tinyYolov2/index.js.map
deleted file mode 100644
index ac186e5..0000000
--- a/build/tinyYolov2/index.js.map
+++ /dev/null
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diff --git a/build/tinyYolov2/leaky.d.ts.map b/build/tinyYolov2/leaky.d.ts.map
deleted file mode 100644
index 7492aa9..0000000
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diff --git a/build/tinyYolov2/leaky.js.map b/build/tinyYolov2/leaky.js.map
deleted file mode 100644
index 0ff8205..0000000
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+++ /dev/null
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diff --git a/build/tinyYolov2/types.d.ts.map b/build/tinyYolov2/types.d.ts.map
deleted file mode 100644
index d8609c1..0000000
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diff --git a/build/utils/index.d.ts.map b/build/utils/index.d.ts.map
deleted file mode 100644
index eecef0b..0000000
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diff --git a/build/utils/index.js.map b/build/utils/index.js.map
deleted file mode 100644
index 6bc5339..0000000
--- a/build/utils/index.js.map
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diff --git a/build/xception/TinyXception.d.ts.map b/build/xception/TinyXception.d.ts.map
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index 2027b82..0000000
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diff --git a/build/xception/TinyXception.js.map b/build/xception/TinyXception.js.map
deleted file mode 100644
index 1ad4348..0000000
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diff --git a/build/xception/extractParams.d.ts.map b/build/xception/extractParams.d.ts.map
deleted file mode 100644
index f3c4fc0..0000000
--- a/build/xception/extractParams.d.ts.map
+++ /dev/null
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diff --git a/build/xception/extractParams.js.map b/build/xception/extractParams.js.map
deleted file mode 100644
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diff --git a/build/xception/extractParamsFromWeigthMap.d.ts.map b/build/xception/extractParamsFromWeigthMap.d.ts.map
deleted file mode 100644
index 13e62d7..0000000
--- a/build/xception/extractParamsFromWeigthMap.d.ts.map
+++ /dev/null
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diff --git a/build/xception/extractParamsFromWeigthMap.js.map b/build/xception/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index 571f9c2..0000000
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+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../src/xception/extractParamsFromWeigthMap.ts"],"names":[],"mappings":"AAEA,OAAO,EACL,0BAA0B,EAC1B,yBAAyB,EACzB,8BAA8B,GAE/B,MAAM,WAAW,CAAC;AACnB,OAAO,EAAE,qBAAqB,EAAE,MAAM,iCAAiC,CAAC;AACxE,OAAO,EAAE,KAAK,EAAE,MAAM,UAAU,CAAC;AAGjC,SAAS,iBAAiB,CAAC,SAAc,EAAE,aAA6B;IAEtE,MAAM,kBAAkB,GAAG,yBAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE9E,MAAM,iBAAiB,GAAG,qBAAqB,CAAC,kBAAkB,CAAC,CAAA;IACnE,MAAM,0BAA0B,GAAG,8BAA8B,CAAC,kBAAkB,CAAC,CAAA;IAErF,SAAS,2BAA2B,CAAC,YAAoB;QAEvD,MAAM,eAAe,GAAG,0BAA0B,CAAC,GAAG,YAAY,kBAAkB,CAAC,CAAA;QACrF,MAAM,eAAe,GAAG,0BAA0B,CAAC,GAAG,YAAY,kBAAkB,CAAC,CAAA;QACrF,MAAM,cAAc,GAAG,iBAAiB,CAAC,GAAG,YAAY,iBAAiB,CAAC,CAAA;QAE1E,OAAO,EAAE,eAAe,EAAE,eAAe,EAAE,cAAc,EAAE,CAAA;IAC7D,CAAC;IAED,SAAS,sBAAsB,CAAC,YAAoB;QAElD,MAAM,eAAe,GAAG,0BAA0B,CAAC,GAAG,YAAY,kBAAkB,CAAC,CAAA;QACrF,MAAM,eAAe,GAAG,0BAA0B,CAAC,GAAG,YAAY,kBAAkB,CAAC,CAAA;QACrF,MAAM,eAAe,GAAG,0BAA0B,CAAC,GAAG,YAAY,kBAAkB,CAAC,CAAA;QAErF,OAAO,EAAE,eAAe,EAAE,eAAe,EAAE,eAAe,EAAE,CAAA;IAC9D,CAAC;IAED,OAAO;QACL,iBAAiB;QACjB,0BAA0B;QAC1B,2BAA2B;QAC3B,sBAAsB;KACvB,CAAA;AACH,CAAC;AAED,MAAM,UAAU,0BAA0B,CACxC,SAA4B,EAC5B,aAAqB;IAGrB,MAAM,aAAa,GAAmB,EAAE,CAAA;IAExC,MAAM,EACJ,iBAAiB,EACjB,0BAA0B,EAC1B,2BAA2B,EAC3B,sBAAsB,EACvB,GAAG,iBAAiB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE/C,MAAM,kBAAkB,GAAG,iBAAiB,CAAC,oBAAoB,CAAC,CAAA;IAClE,MAAM,4BAA4B,GAAG,2BAA2B,CAAC,8BAA8B,CAAC,CAAA;IAChG,MAAM,4BAA4B,GAAG,2BAA2B,CAAC,8BAA8B,CAAC,CAAA;IAEhG,MAAM,UAAU,GAAG;QACjB,OAAO,EAAE,kBAAkB;QAC3B,iBAAiB,EAAE,4BAA4B;QAC/C,iBAAiB,EAAE,4BAA4B;KAChD,CAAA;IAED,MAAM,WAAW,GAAG,EAAE,CAAA;IACtB,KAAK,CAAC,aAAa,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,GAAG,EAAE,EAAE;QACzC,WAAW,CAAC,cAAc,GAAG,EAAE,CAAC,GAAG,sBAAsB,CAAC,0BAA0B,GAAG,EAAE,CAAC,CAAA;IAC5F,CAAC,CAAC,CAAA;IAEF,MAAM,yBAAyB,GAAG,2BAA2B,CAAC,2BAA2B,CAAC,CAAA;IAC1F,MAAM,wBAAwB,GAAG,0BAA0B,CAAC,0BAA0B,CAAC,CAAA;IAEvF,MAAM,SAAS,GAAG;QAChB,eAAe,EAAE,yBAAyB;QAC1C,cAAc,EAAE,wBAAwB;KACzC,CAAA;IAED,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEpD,OAAO,EAAE,MAAM,EAAE,EAAE,UAAU,EAAE,WAAW,EAAE,SAAS,EAAE,EAAE,aAAa,EAAE,CAAA;AAC1E,CAAC"}
\ No newline at end of file
diff --git a/build/xception/index.d.ts.map b/build/xception/index.d.ts.map
deleted file mode 100644
index 11365a7..0000000
--- a/build/xception/index.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../../src/xception/index.ts"],"names":[],"mappings":"AAAA,cAAc,gBAAgB,CAAC"}
\ No newline at end of file
diff --git a/build/xception/index.js.map b/build/xception/index.js.map
deleted file mode 100644
index 4f5ca3f..0000000
--- a/build/xception/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../src/xception/index.ts"],"names":[],"mappings":"AAAA,cAAc,gBAAgB,CAAC"}
\ No newline at end of file
diff --git a/build/xception/types.d.ts.map b/build/xception/types.d.ts.map
deleted file mode 100644
index af6a731..0000000
--- a/build/xception/types.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.d.ts","sourceRoot":"","sources":["../../src/xception/types.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,UAAU,EAAE,mBAAmB,EAAE,MAAM,WAAW,CAAC;AAE5D,oBAAY,oBAAoB,GAAG;IACjC,eAAe,EAAE,mBAAmB,CAAA;IACpC,eAAe,EAAE,mBAAmB,CAAA;IACpC,cAAc,EAAE,UAAU,CAAA;CAC3B,CAAA;AAED,oBAAY,eAAe,GAAG;IAC5B,eAAe,EAAE,mBAAmB,CAAA;IACpC,eAAe,EAAE,mBAAmB,CAAA;IACpC,eAAe,EAAE,mBAAmB,CAAA;CACrC,CAAA;AAED,oBAAY,kBAAkB,GAAG;IAC/B,UAAU,EAAE;QACV,OAAO,EAAE,UAAU,CAAA;QACnB,iBAAiB,EAAE,oBAAoB,CAAA;QACvC,iBAAiB,EAAE,oBAAoB,CAAA;KACxC,CAAA;IACD,WAAW,EAAE,GAAG,CAAC;IACjB,SAAS,EAAE;QACT,eAAe,EAAE,oBAAoB,CAAA;QACrC,cAAc,EAAE,mBAAmB,CAAA;KACpC,CAAA;CACF,CAAA"}
\ No newline at end of file
diff --git a/build/xception/types.js.map b/build/xception/types.js.map
deleted file mode 100644
index f62d155..0000000
--- a/build/xception/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../src/xception/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/dist/face-api.cjs b/dist/face-api.cjs
index 79110f7..31d6fb4 100644
--- a/dist/face-api.cjs
+++ b/dist/face-api.cjs
@@ -667,7 +667,7 @@ var require_seedrandom2 = __commonJS((exports2, module2) => {
   module2.exports = sr;
 });
 
-// build/env/isNodejs.js
+// build/src/env/isNodejs.js
 var require_isNodejs = __commonJS((exports2, module2) => {
   __export(exports2, {
     isNodejs: () => isNodejs3
@@ -20119,7 +20119,7 @@ __export(dist_exports, {
  * =============================================================================
  */
 
-// build/draw/drawContour.js
+// build/src/draw/drawContour.js
 function drawContour(ctx, points, isClosed = false) {
   ctx.beginPath();
   points.slice(1).forEach(({x, y}, prevIdx) => {
@@ -20139,7 +20139,7 @@ function drawContour(ctx, points, isClosed = false) {
   ctx.stroke();
 }
 
-// build/classes/Dimensions.js
+// build/src/classes/Dimensions.js
 class Dimensions {
   constructor(width, height) {
     if (!isValidNumber(width) || !isValidNumber(height)) {
@@ -20159,7 +20159,7 @@ class Dimensions {
   }
 }
 
-// build/utils/index.js
+// build/src/utils/index.js
 const utils_exports = {};
 __export(utils_exports, {
   computeReshapedDimensions: () => computeReshapedDimensions,
@@ -20222,7 +20222,7 @@ function isValidProbablitiy(num) {
   return isValidNumber(num) && 0 <= num && num <= 1;
 }
 
-// build/classes/Point.js
+// build/src/classes/Point.js
 class Point {
   constructor(x, y) {
     this._x = x;
@@ -20257,7 +20257,7 @@ class Point {
   }
 }
 
-// build/classes/Box.js
+// build/src/classes/Box.js
 class Box {
   constructor(_box, allowNegativeDimensions = true) {
     const box = _box || {};
@@ -20418,14 +20418,14 @@ class Box {
   }
 }
 
-// build/classes/BoundingBox.js
+// build/src/classes/BoundingBox.js
 class BoundingBox extends Box {
   constructor(left, top, right, bottom, allowNegativeDimensions = false) {
     super({left, top, right, bottom}, allowNegativeDimensions);
   }
 }
 
-// build/classes/ObjectDetection.js
+// build/src/classes/ObjectDetection.js
 class ObjectDetection {
   constructor(score, classScore, className, relativeBox, imageDims) {
     this._imageDims = new Dimensions(imageDims.width, imageDims.height);
@@ -20463,7 +20463,7 @@ class ObjectDetection {
   }
 }
 
-// build/classes/FaceDetection.js
+// build/src/classes/FaceDetection.js
 class FaceDetection extends ObjectDetection {
   constructor(score, relativeBox, imageDims) {
     super(score, score, "", relativeBox, imageDims);
@@ -20474,7 +20474,7 @@ class FaceDetection extends ObjectDetection {
   }
 }
 
-// build/ops/iou.js
+// build/src/ops/iou.js
 function iou(box1, box2, isIOU = true) {
   const width = Math.max(0, Math.min(box1.right, box2.right) - Math.max(box1.left, box2.left));
   const height = Math.max(0, Math.min(box1.bottom, box2.bottom) - Math.max(box1.top, box2.top));
@@ -20482,7 +20482,7 @@ function iou(box1, box2, isIOU = true) {
   return isIOU ? interSection / (box1.area + box2.area - interSection) : interSection / Math.min(box1.area, box2.area);
 }
 
-// build/ops/minBbox.js
+// build/src/ops/minBbox.js
 function minBbox(pts) {
   const xs = pts.map((pt) => pt.x);
   const ys = pts.map((pt) => pt.y);
@@ -20493,7 +20493,7 @@ function minBbox(pts) {
   return new BoundingBox(minX, minY, maxX, maxY);
 }
 
-// build/ops/nonMaxSuppression.js
+// build/src/ops/nonMaxSuppression.js
 function nonMaxSuppression2(boxes, scores, iouThreshold, isIOU = true) {
   let indicesSortedByScore = scores.map((score, boxIndex) => ({score, boxIndex})).sort((c1, c2) => c1.score - c2.score).map((c) => c.boxIndex);
   const pick = [];
@@ -20513,7 +20513,7 @@ function nonMaxSuppression2(boxes, scores, iouThreshold, isIOU = true) {
   return pick;
 }
 
-// build/ops/normalize.js
+// build/src/ops/normalize.js
 function normalize(x, meanRgb) {
   return tidy(() => {
     const [r, g, b] = meanRgb;
@@ -20525,7 +20525,7 @@ function normalize(x, meanRgb) {
   });
 }
 
-// build/ops/padToSquare.js
+// build/src/ops/padToSquare.js
 function padToSquare(imgTensor, isCenterImage = false) {
   return tidy(() => {
     const [height, width] = imgTensor.shape.slice(1);
@@ -20547,12 +20547,12 @@ function padToSquare(imgTensor, isCenterImage = false) {
       paddingTensorPrepend,
       imgTensor,
       paddingTensorAppend
-    ].filter((t) => !!t).map((t) => t.toFloat());
+    ].filter((t) => !!t).map((t) => cast(t, "float32"));
     return concat(tensorsToStack, paddingAxis);
   });
 }
 
-// build/ops/shuffleArray.js
+// build/src/ops/shuffleArray.js
 function shuffleArray(inputArray) {
   const array = inputArray.slice();
   for (let i = array.length - 1; i > 0; i--) {
@@ -20564,7 +20564,7 @@ function shuffleArray(inputArray) {
   return array;
 }
 
-// build/ops/index.js
+// build/src/ops/index.js
 function sigmoid6(x) {
   return 1 / (1 + Math.exp(-x));
 }
@@ -20572,14 +20572,14 @@ function inverseSigmoid(x) {
   return Math.log(x / (1 - x));
 }
 
-// build/classes/Rect.js
+// build/src/classes/Rect.js
 class Rect extends Box {
   constructor(x, y, width, height, allowNegativeDimensions = false) {
     super({x, y, width, height}, allowNegativeDimensions);
   }
 }
 
-// build/classes/FaceLandmarks.js
+// build/src/classes/FaceLandmarks.js
 const relX = 0.5;
 const relY = 0.43;
 const relScale = 0.45;
@@ -20645,7 +20645,7 @@ class FaceLandmarks {
   }
 }
 
-// build/classes/FaceLandmarks5.js
+// build/src/classes/FaceLandmarks5.js
 class FaceLandmarks5 extends FaceLandmarks {
   getRefPointsForAlignment() {
     const pts = this.positions;
@@ -20657,7 +20657,7 @@ class FaceLandmarks5 extends FaceLandmarks {
   }
 }
 
-// build/classes/FaceLandmarks68.js
+// build/src/classes/FaceLandmarks68.js
 class FaceLandmarks68 extends FaceLandmarks {
   getJawOutline() {
     return this.positions.slice(0, 17);
@@ -20689,7 +20689,7 @@ class FaceLandmarks68 extends FaceLandmarks {
   }
 }
 
-// build/classes/FaceMatch.js
+// build/src/classes/FaceMatch.js
 class FaceMatch {
   constructor(label, distance) {
     this._label = label;
@@ -20706,7 +20706,7 @@ class FaceMatch {
   }
 }
 
-// build/classes/LabeledBox.js
+// build/src/classes/LabeledBox.js
 class LabeledBox extends Box {
   constructor(box, label) {
     super(box);
@@ -20723,7 +20723,7 @@ class LabeledBox extends Box {
   }
 }
 
-// build/classes/LabeledFaceDescriptors.js
+// build/src/classes/LabeledFaceDescriptors.js
 class LabeledFaceDescriptors {
   constructor(label, descriptors) {
     if (!(typeof label === "string")) {
@@ -20755,7 +20755,7 @@ class LabeledFaceDescriptors {
   }
 }
 
-// build/classes/PredictedBox.js
+// build/src/classes/PredictedBox.js
 class PredictedBox extends LabeledBox {
   constructor(box, label, score, classScore) {
     super(box, label);
@@ -20776,9 +20776,9 @@ class PredictedBox extends LabeledBox {
   }
 }
 
-// build/classes/index.js
+// build/src/classes/index.js
 
-// build/factories/WithFaceDetection.js
+// build/src/factories/WithFaceDetection.js
 function isWithFaceDetection(obj) {
   return obj["detection"] instanceof FaceDetection;
 }
@@ -20787,7 +20787,7 @@ function extendWithFaceDetection(sourceObj, detection) {
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/env/createBrowserEnv.js
+// build/src/env/createBrowserEnv.js
 function createBrowserEnv() {
   const fetch3 = window["fetch"] || function() {
     throw new Error("fetch - missing fetch implementation for browser environment");
@@ -20808,7 +20808,7 @@ function createBrowserEnv() {
   };
 }
 
-// build/env/createFileSystem.js
+// build/src/env/createFileSystem.js
 function createFileSystem(fs) {
   let requireFsError = "";
   if (!fs) {
@@ -20832,7 +20832,7 @@ function createFileSystem(fs) {
   };
 }
 
-// build/env/createNodejsEnv.js
+// build/src/env/createNodejsEnv.js
 function createNodejsEnv() {
   const Canvas = global["Canvas"] || global["HTMLCanvasElement"];
   const Image = global["Image"] || global["HTMLImageElement"];
@@ -20869,14 +20869,14 @@ function createNodejsEnv() {
   }, fileSystem);
 }
 
-// build/env/isBrowser.js
+// build/src/env/isBrowser.js
 function isBrowser2() {
   return typeof window === "object" && typeof document !== "undefined" && typeof HTMLImageElement !== "undefined" && typeof HTMLCanvasElement !== "undefined" && typeof HTMLVideoElement !== "undefined" && typeof ImageData !== "undefined" && typeof CanvasRenderingContext2D !== "undefined";
 }
 
-// build/env/types.js
+// build/src/env/types.js
 
-// build/env/index.js
+// build/src/env/index.js
 const isNodejs = __toModule(require_isNodejs());
 let environment11;
 function getEnv() {
@@ -20926,7 +20926,7 @@ const env2 = {
 };
 initialize();
 
-// build/dom/resolveInput.js
+// build/src/dom/resolveInput.js
 function resolveInput(arg) {
   if (!env2.isNodejs() && typeof arg === "string") {
     return document.getElementById(arg);
@@ -20934,7 +20934,7 @@ function resolveInput(arg) {
   return arg;
 }
 
-// build/dom/getContext2dOrThrow.js
+// build/src/dom/getContext2dOrThrow.js
 function getContext2dOrThrow(canvasArg) {
   const {Canvas, CanvasRenderingContext2D: CanvasRenderingContext2D2} = env2.getEnv();
   if (canvasArg instanceof CanvasRenderingContext2D2) {
@@ -20951,7 +20951,7 @@ function getContext2dOrThrow(canvasArg) {
   return ctx;
 }
 
-// build/draw/DrawTextField.js
+// build/src/draw/DrawTextField.js
 var AnchorPosition;
 (function(AnchorPosition2) {
   AnchorPosition2["TOP_LEFT"] = "TOP_LEFT";
@@ -21019,7 +21019,7 @@ class DrawTextField {
   }
 }
 
-// build/draw/DrawBox.js
+// build/src/draw/DrawBox.js
 class DrawBoxOptions {
   constructor(options = {}) {
     const {boxColor, lineWidth, label, drawLabelOptions} = options;
@@ -21052,7 +21052,7 @@ class DrawBox {
   }
 }
 
-// build/draw/drawDetections.js
+// build/src/draw/drawDetections.js
 function drawDetections(canvasArg, detections) {
   const detectionsArray = Array.isArray(detections) ? detections : [detections];
   detectionsArray.forEach((det) => {
@@ -21063,13 +21063,13 @@ function drawDetections(canvasArg, detections) {
   });
 }
 
-// build/dom/isMediaLoaded.js
+// build/src/dom/isMediaLoaded.js
 function isMediaLoaded(media) {
   const {Image, Video} = env2.getEnv();
   return media instanceof Image && media.complete || media instanceof Video && media.readyState >= 3;
 }
 
-// build/dom/awaitMediaLoaded.js
+// build/src/dom/awaitMediaLoaded.js
 function awaitMediaLoaded(media) {
   return new Promise((resolve, reject) => {
     if (media instanceof env2.getEnv().Canvas || isMediaLoaded(media)) {
@@ -21094,7 +21094,7 @@ function awaitMediaLoaded(media) {
   });
 }
 
-// build/dom/bufferToImage.js
+// build/src/dom/bufferToImage.js
 function bufferToImage(buf) {
   return new Promise((resolve, reject) => {
     if (!(buf instanceof Blob)) {
@@ -21115,7 +21115,7 @@ function bufferToImage(buf) {
   });
 }
 
-// build/dom/getMediaDimensions.js
+// build/src/dom/getMediaDimensions.js
 function getMediaDimensions(input) {
   const {Image, Video} = env2.getEnv();
   if (input instanceof Image) {
@@ -21127,7 +21127,7 @@ function getMediaDimensions(input) {
   return new Dimensions(input.width, input.height);
 }
 
-// build/dom/createCanvas.js
+// build/src/dom/createCanvas.js
 function createCanvas({width, height}) {
   const {createCanvasElement} = env2.getEnv();
   const canvas = createCanvasElement();
@@ -21150,7 +21150,7 @@ function createCanvasFromMedia(media, dims) {
   return canvas;
 }
 
-// build/dom/imageTensorToCanvas.js
+// build/src/dom/imageTensorToCanvas.js
 async function imageTensorToCanvas(imgTensor, canvas) {
   const targetCanvas = canvas || env2.getEnv().createCanvasElement();
   const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0);
@@ -21160,13 +21160,13 @@ async function imageTensorToCanvas(imgTensor, canvas) {
   return targetCanvas;
 }
 
-// build/dom/isMediaElement.js
+// build/src/dom/isMediaElement.js
 function isMediaElement(input) {
   const {Image, Canvas, Video} = env2.getEnv();
   return input instanceof Image || input instanceof Canvas || input instanceof Video;
 }
 
-// build/dom/imageToSquare.js
+// build/src/dom/imageToSquare.js
 function imageToSquare(input, inputSize, centerImage = false) {
   const {Image, Canvas} = env2.getEnv();
   if (!(input instanceof Image || input instanceof Canvas)) {
@@ -21185,7 +21185,7 @@ function imageToSquare(input, inputSize, centerImage = false) {
   return targetCanvas;
 }
 
-// build/dom/NetInput.js
+// build/src/dom/NetInput.js
 class NetInput {
   constructor(inputs, treatAsBatchInput = false) {
     this._imageTensors = [];
@@ -21276,13 +21276,13 @@ class NetInput {
         }
         throw new Error(`toBatchTensor - at batchIdx ${batchIdx}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${input}`);
       });
-      const batchTensor = stack(inputTensors.map((t) => t.toFloat())).as4D(this.batchSize, inputSize, inputSize, 3);
+      const batchTensor = stack(inputTensors.map((t) => cast(t, "float32"))).as4D(this.batchSize, inputSize, inputSize, 3);
       return batchTensor;
     });
   }
 }
 
-// build/dom/toNetInput.js
+// build/src/dom/toNetInput.js
 async function toNetInput(inputs) {
   if (inputs instanceof NetInput) {
     return inputs;
@@ -21311,7 +21311,7 @@ async function toNetInput(inputs) {
   return new NetInput(inputArray, Array.isArray(inputs));
 }
 
-// build/dom/extractFaces.js
+// build/src/dom/extractFaces.js
 async function extractFaces(input, detections) {
   const {Canvas} = env2.getEnv();
   let canvas = input;
@@ -21332,7 +21332,7 @@ async function extractFaces(input, detections) {
   });
 }
 
-// build/dom/extractFaceTensors.js
+// build/src/dom/extractFaceTensors.js
 async function extractFaceTensors(imageTensor, detections) {
   if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {
     throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");
@@ -21348,7 +21348,7 @@ async function extractFaceTensors(imageTensor, detections) {
   });
 }
 
-// build/dom/fetchOrThrow.js
+// build/src/dom/fetchOrThrow.js
 async function fetchOrThrow(url, init) {
   const fetch3 = env2.getEnv().fetch;
   const res = await fetch3(url, init);
@@ -21358,7 +21358,7 @@ async function fetchOrThrow(url, init) {
   return res;
 }
 
-// build/dom/fetchImage.js
+// build/src/dom/fetchImage.js
 async function fetchImage(uri) {
   const res = await fetchOrThrow(uri);
   const blob = await res.blob();
@@ -21368,17 +21368,17 @@ async function fetchImage(uri) {
   return bufferToImage(blob);
 }
 
-// build/dom/fetchJson.js
+// build/src/dom/fetchJson.js
 async function fetchJson(uri) {
   return (await fetchOrThrow(uri)).json();
 }
 
-// build/dom/fetchNetWeights.js
+// build/src/dom/fetchNetWeights.js
 async function fetchNetWeights(uri) {
   return new Float32Array(await (await fetchOrThrow(uri)).arrayBuffer());
 }
 
-// build/common/getModelUris.js
+// build/src/common/getModelUris.js
 function getModelUris(uri, defaultModelName) {
   const defaultManifestFilename = `${defaultModelName}-weights_manifest.json`;
   if (!uri) {
@@ -21405,14 +21405,14 @@ function getModelUris(uri, defaultModelName) {
   };
 }
 
-// build/dom/loadWeightMap.js
+// build/src/dom/loadWeightMap.js
 async function loadWeightMap(uri, defaultModelName) {
   const {manifestUri, modelBaseUri} = getModelUris(uri, defaultModelName);
   let manifest = await fetchJson(manifestUri);
   return io_exports.loadWeights(manifest, modelBaseUri);
 }
 
-// build/dom/matchDimensions.js
+// build/src/dom/matchDimensions.js
 function matchDimensions(input, reference, useMediaDimensions = false) {
   const {width, height} = useMediaDimensions ? getMediaDimensions(reference) : reference;
   input.width = width;
@@ -21420,16 +21420,22 @@ function matchDimensions(input, reference, useMediaDimensions = false) {
   return {width, height};
 }
 
-// build/dom/types.js
+// build/src/dom/types.js
 
-// build/dom/index.js
+// build/src/dom/index.js
 
-// build/NeuralNetwork.js
+// build/src/NeuralNetwork.js
 class NeuralNetwork {
   constructor(_name) {
     this._name = _name;
     this._params = void 0;
     this._paramMappings = [];
+    try {
+      const testTensor = tensor5([0]);
+      testTensor.toFloat();
+    } catch (err) {
+      throw new Error(`module not loaded: load '@tensorflow/tfjs' or '@tensorflow/tfjs-core' with appropriate backend explicitly: ${err}`);
+    }
   }
   get params() {
     return this._params;
@@ -21539,7 +21545,7 @@ class NeuralNetwork {
   }
 }
 
-// build/common/depthwiseSeparableConv.js
+// build/src/common/depthwiseSeparableConv.js
 function depthwiseSeparableConv(x, params, stride) {
   return tidy(() => {
     let out = separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, "same");
@@ -21548,7 +21554,7 @@ function depthwiseSeparableConv(x, params, stride) {
   });
 }
 
-// build/faceFeatureExtractor/denseBlock.js
+// build/src/faceFeatureExtractor/denseBlock.js
 function denseBlock3(x, denseBlockParams, isFirstLayer = false) {
   return tidy(() => {
     const out1 = relu(isFirstLayer ? add2(conv2d(x, denseBlockParams.conv0.filters, [2, 2], "same"), denseBlockParams.conv0.bias) : depthwiseSeparableConv(x, denseBlockParams.conv0, [2, 2]));
@@ -21570,7 +21576,7 @@ function denseBlock4(x, denseBlockParams, isFirstLayer = false, isScaleDown = tr
   });
 }
 
-// build/common/convLayer.js
+// build/src/common/convLayer.js
 function convLayer(x, params, padding = "same", withRelu = false) {
   return tidy(() => {
     const out = add2(conv2d(x, params.filters, [1, 1], padding), params.bias);
@@ -21578,7 +21584,7 @@ function convLayer(x, params, padding = "same", withRelu = false) {
   });
 }
 
-// build/common/disposeUnusedWeightTensors.js
+// build/src/common/disposeUnusedWeightTensors.js
 function disposeUnusedWeightTensors(weightMap, paramMappings) {
   Object.keys(weightMap).forEach((path) => {
     if (!paramMappings.some((pm) => pm.originalPath === path)) {
@@ -21587,7 +21593,7 @@ function disposeUnusedWeightTensors(weightMap, paramMappings) {
   });
 }
 
-// build/common/extractConvParamsFactory.js
+// build/src/common/extractConvParamsFactory.js
 function extractConvParamsFactory(extractWeights, paramMappings) {
   return function(channelsIn, channelsOut, filterSize, mappedPrefix) {
     const filters = tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
@@ -21597,7 +21603,7 @@ function extractConvParamsFactory(extractWeights, paramMappings) {
   };
 }
 
-// build/common/extractFCParamsFactory.js
+// build/src/common/extractFCParamsFactory.js
 function extractFCParamsFactory(extractWeights, paramMappings) {
   return function(channelsIn, channelsOut, mappedPrefix) {
     const fc_weights = tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);
@@ -21610,7 +21616,7 @@ function extractFCParamsFactory(extractWeights, paramMappings) {
   };
 }
 
-// build/common/types.js
+// build/src/common/types.js
 class SeparableConvParams {
   constructor(depthwise_filter, pointwise_filter, bias) {
     this.depthwise_filter = depthwise_filter;
@@ -21619,7 +21625,7 @@ class SeparableConvParams {
   }
 }
 
-// build/common/extractSeparableConvParamsFactory.js
+// build/src/common/extractSeparableConvParamsFactory.js
 function extractSeparableConvParamsFactory(extractWeights, paramMappings) {
   return function(channelsIn, channelsOut, mappedPrefix) {
     const depthwise_filter = tensor4d(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);
@@ -21638,7 +21644,7 @@ function loadSeparableConvParamsFactory(extractWeightEntry) {
   };
 }
 
-// build/common/extractWeightEntryFactory.js
+// build/src/common/extractWeightEntryFactory.js
 function extractWeightEntryFactory(weightMap, paramMappings) {
   return function(originalPath, paramRank, mappedPath) {
     const tensor17 = weightMap[originalPath];
@@ -21650,7 +21656,7 @@ function extractWeightEntryFactory(weightMap, paramMappings) {
   };
 }
 
-// build/common/extractWeightsFactory.js
+// build/src/common/extractWeightsFactory.js
 function extractWeightsFactory(weights) {
   let remainingWeights = weights;
   function extractWeights(numWeights) {
@@ -21667,9 +21673,9 @@ function extractWeightsFactory(weights) {
   };
 }
 
-// build/common/index.js
+// build/src/common/index.js
 
-// build/faceFeatureExtractor/extractorsFactory.js
+// build/src/faceFeatureExtractor/extractorsFactory.js
 function extractorsFactory(extractWeights, paramMappings) {
   const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
   const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);
@@ -21690,7 +21696,7 @@ function extractorsFactory(extractWeights, paramMappings) {
   };
 }
 
-// build/faceFeatureExtractor/extractParams.js
+// build/src/faceFeatureExtractor/extractParams.js
 function extractParams(weights) {
   const paramMappings = [];
   const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -21708,7 +21714,7 @@ function extractParams(weights) {
   };
 }
 
-// build/common/loadConvParamsFactory.js
+// build/src/common/loadConvParamsFactory.js
 function loadConvParamsFactory(extractWeightEntry) {
   return function(prefix) {
     const filters = extractWeightEntry(`${prefix}/filters`, 4);
@@ -21717,7 +21723,7 @@ function loadConvParamsFactory(extractWeightEntry) {
   };
 }
 
-// build/faceFeatureExtractor/loadParamsFactory.js
+// build/src/faceFeatureExtractor/loadParamsFactory.js
 function loadParamsFactory(weightMap, paramMappings) {
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
   const extractConvParams = loadConvParamsFactory(extractWeightEntry);
@@ -21741,7 +21747,7 @@ function loadParamsFactory(weightMap, paramMappings) {
   };
 }
 
-// build/faceFeatureExtractor/extractParamsFromWeigthMap.js
+// build/src/faceFeatureExtractor/extractParamsFromWeigthMap.js
 function extractParamsFromWeigthMap(weightMap) {
   const paramMappings = [];
   const {extractDenseBlock4Params} = loadParamsFactory(weightMap, paramMappings);
@@ -21755,7 +21761,7 @@ function extractParamsFromWeigthMap(weightMap) {
   return {params, paramMappings};
 }
 
-// build/faceFeatureExtractor/FaceFeatureExtractor.js
+// build/src/faceFeatureExtractor/FaceFeatureExtractor.js
 class FaceFeatureExtractor extends NeuralNetwork {
   constructor() {
     super("FaceFeatureExtractor");
@@ -21791,12 +21797,12 @@ class FaceFeatureExtractor extends NeuralNetwork {
   }
 }
 
-// build/common/fullyConnectedLayer.js
+// build/src/common/fullyConnectedLayer.js
 function fullyConnectedLayer(x, params) {
   return tidy(() => add2(matMul(x, params.weights), params.bias));
 }
 
-// build/faceProcessor/extractParams.js
+// build/src/faceProcessor/extractParams.js
 function extractParams3(weights, channelsIn, channelsOut) {
   const paramMappings = [];
   const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -21811,7 +21817,7 @@ function extractParams3(weights, channelsIn, channelsOut) {
   };
 }
 
-// build/faceProcessor/extractParamsFromWeigthMap.js
+// build/src/faceProcessor/extractParamsFromWeigthMap.js
 function extractParamsFromWeigthMap3(weightMap) {
   const paramMappings = [];
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
@@ -21827,7 +21833,7 @@ function extractParamsFromWeigthMap3(weightMap) {
   return {params, paramMappings};
 }
 
-// build/faceProcessor/util.js
+// build/src/faceProcessor/util.js
 function seperateWeightMaps(weightMap) {
   const featureExtractorMap = {};
   const classifierMap = {};
@@ -21838,7 +21844,7 @@ function seperateWeightMaps(weightMap) {
   return {featureExtractorMap, classifierMap};
 }
 
-// build/faceProcessor/FaceProcessor.js
+// build/src/faceProcessor/FaceProcessor.js
 class FaceProcessor extends NeuralNetwork {
   constructor(_name, faceFeatureExtractor) {
     super(_name);
@@ -21885,7 +21891,7 @@ class FaceProcessor extends NeuralNetwork {
   }
 }
 
-// build/faceExpressionNet/FaceExpressions.js
+// build/src/faceExpressionNet/FaceExpressions.js
 const FACE_EXPRESSION_LABELS = ["neutral", "happy", "sad", "angry", "fearful", "disgusted", "surprised"];
 class FaceExpressions {
   constructor(probabilities) {
@@ -21901,7 +21907,7 @@ class FaceExpressions {
   }
 }
 
-// build/faceExpressionNet/FaceExpressionNet.js
+// build/src/faceExpressionNet/FaceExpressionNet.js
 class FaceExpressionNet extends FaceProcessor {
   constructor(faceFeatureExtractor = new FaceFeatureExtractor()) {
     super("FaceExpressionNet", faceFeatureExtractor);
@@ -21935,9 +21941,9 @@ class FaceExpressionNet extends FaceProcessor {
   }
 }
 
-// build/faceExpressionNet/index.js
+// build/src/faceExpressionNet/index.js
 
-// build/factories/WithFaceExpressions.js
+// build/src/factories/WithFaceExpressions.js
 function isWithFaceExpressions(obj) {
   return obj["expressions"] instanceof FaceExpressions;
 }
@@ -21946,7 +21952,7 @@ function extendWithFaceExpressions(sourceObj, expressions) {
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/draw/drawFaceExpressions.js
+// build/src/draw/drawFaceExpressions.js
 function drawFaceExpressions(canvasArg, faceExpressions, minConfidence = 0.1, textFieldAnchor) {
   const faceExpressionsArray = Array.isArray(faceExpressions) ? faceExpressions : [faceExpressions];
   faceExpressionsArray.forEach((e) => {
@@ -21962,7 +21968,7 @@ function drawFaceExpressions(canvasArg, faceExpressions, minConfidence = 0.1, te
   });
 }
 
-// build/factories/WithFaceLandmarks.js
+// build/src/factories/WithFaceLandmarks.js
 function isWithFaceLandmarks(obj) {
   return isWithFaceDetection(obj) && obj["landmarks"] instanceof FaceLandmarks && obj["unshiftedLandmarks"] instanceof FaceLandmarks && obj["alignedRect"] instanceof FaceDetection;
 }
@@ -21980,7 +21986,7 @@ function extendWithFaceLandmarks(sourceObj, unshiftedLandmarks) {
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/draw/DrawFaceLandmarks.js
+// build/src/draw/DrawFaceLandmarks.js
 class DrawFaceLandmarksOptions {
   constructor(options = {}) {
     const {drawLines = true, drawPoints = true, lineWidth, lineColor, pointSize, pointColor} = options;
@@ -22034,7 +22040,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
   });
 }
 
-// build/draw/index.js
+// build/src/draw/index.js
 const draw_exports = {};
 __export(draw_exports, {
   AnchorPosition: () => AnchorPosition,
@@ -22050,7 +22056,7 @@ __export(draw_exports, {
   drawFaceLandmarks: () => drawFaceLandmarks
 });
 
-// build/xception/extractParams.js
+// build/src/xception/extractParams.js
 function extractorsFactory3(extractWeights, paramMappings) {
   const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
   const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);
@@ -22104,7 +22110,7 @@ function extractParams5(weights, numMainBlocks) {
   };
 }
 
-// build/xception/extractParamsFromWeigthMap.js
+// build/src/xception/extractParamsFromWeigthMap.js
 function loadParamsFactory3(weightMap, paramMappings) {
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
   const extractConvParams = loadConvParamsFactory(extractWeightEntry);
@@ -22153,7 +22159,7 @@ function extractParamsFromWeigthMap5(weightMap, numMainBlocks) {
   return {params: {entry_flow, middle_flow, exit_flow}, paramMappings};
 }
 
-// build/xception/TinyXception.js
+// build/src/xception/TinyXception.js
 function conv(x, params, stride) {
   return add2(conv2d(x, params.filters, stride, "same"), params.bias);
 }
@@ -22211,7 +22217,7 @@ class TinyXception extends NeuralNetwork {
   }
 }
 
-// build/ageGenderNet/extractParams.js
+// build/src/ageGenderNet/extractParams.js
 function extractParams7(weights) {
   const paramMappings = [];
   const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -22227,7 +22233,7 @@ function extractParams7(weights) {
   };
 }
 
-// build/ageGenderNet/extractParamsFromWeigthMap.js
+// build/src/ageGenderNet/extractParamsFromWeigthMap.js
 function extractParamsFromWeigthMap7(weightMap) {
   const paramMappings = [];
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
@@ -22246,14 +22252,14 @@ function extractParamsFromWeigthMap7(weightMap) {
   return {params, paramMappings};
 }
 
-// build/ageGenderNet/types.js
+// build/src/ageGenderNet/types.js
 var Gender;
 (function(Gender2) {
   Gender2["FEMALE"] = "female";
   Gender2["MALE"] = "male";
 })(Gender || (Gender = {}));
 
-// build/ageGenderNet/AgeGenderNet.js
+// build/src/ageGenderNet/AgeGenderNet.js
 class AgeGenderNet extends NeuralNetwork {
   constructor(faceFeatureExtractor = new TinyXception(2)) {
     super("AgeGenderNet");
@@ -22336,9 +22342,9 @@ class AgeGenderNet extends NeuralNetwork {
   }
 }
 
-// build/ageGenderNet/index.js
+// build/src/ageGenderNet/index.js
 
-// build/faceLandmarkNet/FaceLandmark68NetBase.js
+// build/src/faceLandmarkNet/FaceLandmark68NetBase.js
 class FaceLandmark68NetBase extends FaceProcessor {
   postProcess(output, inputSize, originalDimensions) {
     const inputDimensions = originalDimensions.map(({width, height}) => {
@@ -22393,7 +22399,7 @@ class FaceLandmark68NetBase extends FaceProcessor {
   }
 }
 
-// build/faceLandmarkNet/FaceLandmark68Net.js
+// build/src/faceLandmarkNet/FaceLandmark68Net.js
 class FaceLandmark68Net extends FaceLandmark68NetBase {
   constructor(faceFeatureExtractor = new FaceFeatureExtractor()) {
     super("FaceLandmark68Net", faceFeatureExtractor);
@@ -22406,7 +22412,7 @@ class FaceLandmark68Net extends FaceLandmark68NetBase {
   }
 }
 
-// build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
+// build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
 function extractParamsFromWeigthMapTiny(weightMap) {
   const paramMappings = [];
   const {extractDenseBlock3Params} = loadParamsFactory(weightMap, paramMappings);
@@ -22419,7 +22425,7 @@ function extractParamsFromWeigthMapTiny(weightMap) {
   return {params, paramMappings};
 }
 
-// build/faceFeatureExtractor/extractParamsTiny.js
+// build/src/faceFeatureExtractor/extractParamsTiny.js
 function extractParamsTiny(weights) {
   const paramMappings = [];
   const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -22436,7 +22442,7 @@ function extractParamsTiny(weights) {
   };
 }
 
-// build/faceFeatureExtractor/TinyFaceFeatureExtractor.js
+// build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.js
 class TinyFaceFeatureExtractor extends NeuralNetwork {
   constructor() {
     super("TinyFaceFeatureExtractor");
@@ -22471,7 +22477,7 @@ class TinyFaceFeatureExtractor extends NeuralNetwork {
   }
 }
 
-// build/faceLandmarkNet/FaceLandmark68TinyNet.js
+// build/src/faceLandmarkNet/FaceLandmark68TinyNet.js
 class FaceLandmark68TinyNet extends FaceLandmark68NetBase {
   constructor(faceFeatureExtractor = new TinyFaceFeatureExtractor()) {
     super("FaceLandmark68TinyNet", faceFeatureExtractor);
@@ -22484,16 +22490,16 @@ class FaceLandmark68TinyNet extends FaceLandmark68NetBase {
   }
 }
 
-// build/faceLandmarkNet/index.js
+// build/src/faceLandmarkNet/index.js
 class FaceLandmarkNet extends FaceLandmark68Net {
 }
 
-// build/faceRecognitionNet/scaleLayer.js
+// build/src/faceRecognitionNet/scaleLayer.js
 function scale(x, params) {
   return add2(mul(x, params.weights), params.biases);
 }
 
-// build/faceRecognitionNet/convLayer.js
+// build/src/faceRecognitionNet/convLayer.js
 function convLayer2(x, params, strides, withRelu, padding = "same") {
   const {filters, bias} = params.conv;
   let out = conv2d(x, filters, strides, padding);
@@ -22511,7 +22517,7 @@ function convDown(x, params) {
   return convLayer2(x, params, [2, 2], true, "valid");
 }
 
-// build/faceRecognitionNet/extractParams.js
+// build/src/faceRecognitionNet/extractParams.js
 function extractorsFactory5(extractWeights, paramMappings) {
   function extractFilterValues(numFilterValues, numFilters, filterSize) {
     const weights = extractWeights(numFilterValues);
@@ -22596,7 +22602,7 @@ function extractParams9(weights) {
   return {params, paramMappings};
 }
 
-// build/faceRecognitionNet/extractParamsFromWeigthMap.js
+// build/src/faceRecognitionNet/extractParamsFromWeigthMap.js
 function extractorsFactory6(weightMap, paramMappings) {
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
   function extractScaleLayerParams(prefix) {
@@ -22666,7 +22672,7 @@ function extractParamsFromWeigthMap9(weightMap) {
   return {params, paramMappings};
 }
 
-// build/faceRecognitionNet/residualLayer.js
+// build/src/faceRecognitionNet/residualLayer.js
 function residual(x, params) {
   let out = conv2(x, params.conv1);
   out = convNoRelu(out, params.conv2);
@@ -22697,7 +22703,7 @@ function residualDown(x, params) {
   return out;
 }
 
-// build/faceRecognitionNet/FaceRecognitionNet.js
+// build/src/faceRecognitionNet/FaceRecognitionNet.js
 class FaceRecognitionNet extends NeuralNetwork {
   constructor() {
     super("FaceRecognitionNet");
@@ -22708,7 +22714,7 @@ class FaceRecognitionNet extends NeuralNetwork {
       throw new Error("FaceRecognitionNet - load model before inference");
     }
     return tidy(() => {
-      const batchTensor = input.toBatchTensor(150, true).toFloat();
+      const batchTensor = cast(input.toBatchTensor(150, true), "float32");
       const meanRgb = [122.782, 117.001, 104.298];
       const normalized = normalize(batchTensor, meanRgb).div(scalar(256));
       let out = convDown(normalized, params.conv32_down);
@@ -22753,20 +22759,20 @@ class FaceRecognitionNet extends NeuralNetwork {
   }
 }
 
-// build/faceRecognitionNet/index.js
+// build/src/faceRecognitionNet/index.js
 function createFaceRecognitionNet(weights) {
   const net = new FaceRecognitionNet();
   net.extractWeights(weights);
   return net;
 }
 
-// build/factories/WithFaceDescriptor.js
+// build/src/factories/WithFaceDescriptor.js
 function extendWithFaceDescriptor(sourceObj, descriptor) {
   const extension = {descriptor};
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/factories/WithAge.js
+// build/src/factories/WithAge.js
 function isWithAge(obj) {
   return typeof obj["age"] === "number";
 }
@@ -22775,7 +22781,7 @@ function extendWithAge(sourceObj, age) {
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/factories/WithGender.js
+// build/src/factories/WithGender.js
 function isWithGender(obj) {
   return (obj["gender"] === Gender.MALE || obj["gender"] === Gender.FEMALE) && isValidProbablitiy(obj["genderProbability"]);
 }
@@ -22784,9 +22790,9 @@ function extendWithGender(sourceObj, gender, genderProbability) {
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/factories/index.js
+// build/src/factories/index.js
 
-// build/ssdMobilenetv1/extractParams.js
+// build/src/ssdMobilenetv1/extractParams.js
 function extractorsFactory7(extractWeights, paramMappings) {
   function extractDepthwiseConvParams(numChannels, mappedPrefix) {
     const filters = tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);
@@ -22944,7 +22950,7 @@ function extractParams11(weights) {
   };
 }
 
-// build/ssdMobilenetv1/extractParamsFromWeigthMap.js
+// build/src/ssdMobilenetv1/extractParamsFromWeigthMap.js
 function extractorsFactory8(weightMap, paramMappings) {
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
   function extractPointwiseConvParams(prefix, idx, mappedPrefix) {
@@ -23043,7 +23049,7 @@ function extractParamsFromWeigthMap11(weightMap) {
   return {params, paramMappings};
 }
 
-// build/ssdMobilenetv1/pointwiseConvLayer.js
+// build/src/ssdMobilenetv1/pointwiseConvLayer.js
 function pointwiseConvLayer(x, params, strides) {
   return tidy(() => {
     let out = conv2d(x, params.filters, strides, "same");
@@ -23052,7 +23058,7 @@ function pointwiseConvLayer(x, params, strides) {
   });
 }
 
-// build/ssdMobilenetv1/mobileNetV1.js
+// build/src/ssdMobilenetv1/mobileNetV1.js
 const epsilon = 0.0010000000474974513;
 function depthwiseConvLayer(x, params, strides) {
   return tidy(() => {
@@ -23102,7 +23108,7 @@ function mobileNetV1(x, params) {
   });
 }
 
-// build/ssdMobilenetv1/nonMaxSuppression.js
+// build/src/ssdMobilenetv1/nonMaxSuppression.js
 function nonMaxSuppression3(boxes, scores, maxOutputSize, iouThreshold, scoreThreshold) {
   const numBoxes = boxes.shape[0];
   const outputSize = Math.min(maxOutputSize, numBoxes);
@@ -23153,7 +23159,7 @@ function IOU(boxes, i, j) {
   return intersectionArea / (areaI + areaJ - intersectionArea);
 }
 
-// build/ssdMobilenetv1/outputLayer.js
+// build/src/ssdMobilenetv1/outputLayer.js
 function getCenterCoordinatesAndSizesLayer(x) {
   const vec = unstack(transpose(x, [1, 0]));
   const sizes = [
@@ -23200,7 +23206,7 @@ function outputLayer(boxPredictions, classPredictions, params) {
   });
 }
 
-// build/ssdMobilenetv1/boxPredictionLayer.js
+// build/src/ssdMobilenetv1/boxPredictionLayer.js
 function boxPredictionLayer(x, params) {
   return tidy(() => {
     const batchSize = x.shape[0];
@@ -23213,7 +23219,7 @@ function boxPredictionLayer(x, params) {
   });
 }
 
-// build/ssdMobilenetv1/predictionLayer.js
+// build/src/ssdMobilenetv1/predictionLayer.js
 function predictionLayer(x, conv11, params) {
   return tidy(() => {
     const conv0 = pointwiseConvLayer(x, params.conv_0, [1, 1]);
@@ -23253,7 +23259,7 @@ function predictionLayer(x, conv11, params) {
   });
 }
 
-// build/ssdMobilenetv1/SsdMobilenetv1Options.js
+// build/src/ssdMobilenetv1/SsdMobilenetv1Options.js
 class SsdMobilenetv1Options {
   constructor({minConfidence, maxResults} = {}) {
     this._name = "SsdMobilenetv1Options";
@@ -23274,7 +23280,7 @@ class SsdMobilenetv1Options {
   }
 }
 
-// build/ssdMobilenetv1/SsdMobilenetv1.js
+// build/src/ssdMobilenetv1/SsdMobilenetv1.js
 class SsdMobilenetv1 extends NeuralNetwork {
   constructor() {
     super("SsdMobilenetv1");
@@ -23285,7 +23291,7 @@ class SsdMobilenetv1 extends NeuralNetwork {
       throw new Error("SsdMobilenetv1 - load model before inference");
     }
     return tidy(() => {
-      const batchTensor = input.toBatchTensor(512, false).toFloat();
+      const batchTensor = cast(input.toBatchTensor(512, false), "float32");
       const x = sub(mul(batchTensor, scalar(0.007843137718737125)), scalar(1));
       const features = mobileNetV1(x, params.mobilenetv1);
       const {boxPredictions, classPredictions} = predictionLayer(features.out, features.conv11, params.prediction_layer);
@@ -23342,7 +23348,7 @@ class SsdMobilenetv1 extends NeuralNetwork {
   }
 }
 
-// build/ssdMobilenetv1/index.js
+// build/src/ssdMobilenetv1/index.js
 function createSsdMobilenetv1(weights) {
   const net = new SsdMobilenetv1();
   net.extractWeights(weights);
@@ -23354,7 +23360,7 @@ function createFaceDetectionNet(weights) {
 class FaceDetectionNet extends SsdMobilenetv1 {
 }
 
-// build/tinyYolov2/const.js
+// build/src/tinyYolov2/const.js
 const IOU_THRESHOLD = 0.4;
 const BOX_ANCHORS = [
   new Point(0.738768, 0.874946),
@@ -23374,7 +23380,7 @@ const MEAN_RGB_SEPARABLE = [117.001, 114.697, 97.404];
 const DEFAULT_MODEL_NAME = "tiny_yolov2_model";
 const DEFAULT_MODEL_NAME_SEPARABLE_CONV = "tiny_yolov2_separable_conv_model";
 
-// build/tinyYolov2/config.js
+// build/src/tinyYolov2/config.js
 const isNumber2 = (arg) => typeof arg === "number";
 function validateConfig(config2) {
   if (!config2) {
@@ -23397,7 +23403,7 @@ function validateConfig(config2) {
   }
 }
 
-// build/tinyYolov2/leaky.js
+// build/src/tinyYolov2/leaky.js
 function leaky(x) {
   return tidy(() => {
     const min5 = mul(x, scalar(0.10000000149011612));
@@ -23405,7 +23411,7 @@ function leaky(x) {
   });
 }
 
-// build/tinyYolov2/convWithBatchNorm.js
+// build/src/tinyYolov2/convWithBatchNorm.js
 function convWithBatchNorm(x, params) {
   return tidy(() => {
     let out = pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
@@ -23417,7 +23423,7 @@ function convWithBatchNorm(x, params) {
   });
 }
 
-// build/tinyYolov2/depthwiseSeparableConv.js
+// build/src/tinyYolov2/depthwiseSeparableConv.js
 function depthwiseSeparableConv3(x, params) {
   return tidy(() => {
     let out = pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
@@ -23427,7 +23433,7 @@ function depthwiseSeparableConv3(x, params) {
   });
 }
 
-// build/tinyYolov2/extractParams.js
+// build/src/tinyYolov2/extractParams.js
 function extractorsFactory9(extractWeights, paramMappings) {
   const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
   function extractBatchNormParams(size, mappedPrefix) {
@@ -23484,7 +23490,7 @@ function extractParams13(weights, config2, boxEncodingSize, filterSizes) {
   return {params, paramMappings};
 }
 
-// build/tinyYolov2/extractParamsFromWeigthMap.js
+// build/src/tinyYolov2/extractParamsFromWeigthMap.js
 function extractorsFactory10(weightMap, paramMappings) {
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
   function extractBatchNormParams(prefix) {
@@ -23543,7 +23549,7 @@ function extractParamsFromWeigthMap13(weightMap, config2) {
   return {params, paramMappings};
 }
 
-// build/tinyYolov2/TinyYolov2Options.js
+// build/src/tinyYolov2/TinyYolov2Options.js
 var TinyYolov2SizeType;
 (function(TinyYolov2SizeType2) {
   TinyYolov2SizeType2[TinyYolov2SizeType2["XS"] = 224] = "XS";
@@ -23571,7 +23577,7 @@ class TinyYolov2Options {
   }
 }
 
-// build/tinyYolov2/TinyYolov2Base.js
+// build/src/tinyYolov2/TinyYolov2Base.js
 class TinyYolov2Base extends NeuralNetwork {
   constructor(config2) {
     super("TinyYolov2");
@@ -23627,7 +23633,7 @@ class TinyYolov2Base extends NeuralNetwork {
       throw new Error("TinyYolov2 - load model before inference");
     }
     return tidy(() => {
-      let batchTensor = input.toBatchTensor(inputSize, false).toFloat();
+      let batchTensor = cast(input.toBatchTensor(inputSize, false), "float32");
       batchTensor = this.config.meanRgb ? normalize(batchTensor, this.config.meanRgb) : batchTensor;
       batchTensor = batchTensor.div(scalar(256));
       return this.config.withSeparableConvs ? this.runMobilenet(batchTensor, params) : this.runTinyYolov2(batchTensor, params);
@@ -23736,7 +23742,7 @@ TinyYolov2Base.DEFAULT_FILTER_SIZES = [
   1024
 ];
 
-// build/tinyYolov2/TinyYolov2.js
+// build/src/tinyYolov2/TinyYolov2.js
 class TinyYolov2 extends TinyYolov2Base {
   constructor(withSeparableConvs = true) {
     const config2 = Object.assign({}, {
@@ -23770,16 +23776,16 @@ class TinyYolov2 extends TinyYolov2Base {
   }
 }
 
-// build/tinyYolov2/types.js
+// build/src/tinyYolov2/types.js
 
-// build/tinyYolov2/index.js
+// build/src/tinyYolov2/index.js
 function createTinyYolov2(weights, withSeparableConvs = true) {
   const net = new TinyYolov2(withSeparableConvs);
   net.extractWeights(weights);
   return net;
 }
 
-// build/tinyFaceDetector/TinyFaceDetectorOptions.js
+// build/src/tinyFaceDetector/TinyFaceDetectorOptions.js
 class TinyFaceDetectorOptions extends TinyYolov2Options {
   constructor() {
     super(...arguments);
@@ -23787,7 +23793,7 @@ class TinyFaceDetectorOptions extends TinyYolov2Options {
   }
 }
 
-// build/globalApi/ComposableTask.js
+// build/src/globalApi/ComposableTask.js
 class ComposableTask {
   async then(onfulfilled) {
     return onfulfilled(await this.run());
@@ -23797,7 +23803,7 @@ class ComposableTask {
   }
 }
 
-// build/globalApi/extractFacesAndComputeResults.js
+// build/src/globalApi/extractFacesAndComputeResults.js
 async function extractAllFacesAndComputeResults(parentResults, input, computeResults, extractedFaces, getRectForAlignment = ({alignedRect}) => alignedRect) {
   const faceBoxes = parentResults.map((parentResult) => isWithFaceLandmarks(parentResult) ? getRectForAlignment(parentResult) : parentResult.detection);
   const faces = extractedFaces || (input instanceof Tensor ? await extractFaceTensors(input, faceBoxes) : await extractFaces(input, faceBoxes));
@@ -23809,7 +23815,7 @@ async function extractSingleFaceAndComputeResult(parentResult, input, computeRes
   return extractAllFacesAndComputeResults([parentResult], input, async (faces) => computeResult(faces[0]), extractedFaces, getRectForAlignment);
 }
 
-// build/tinyFaceDetector/const.js
+// build/src/tinyFaceDetector/const.js
 const IOU_THRESHOLD2 = 0.4;
 const BOX_ANCHORS2 = [
   new Point(1.603231, 2.094468),
@@ -23820,7 +23826,7 @@ const BOX_ANCHORS2 = [
 ];
 const MEAN_RGB = [117.001, 114.697, 97.404];
 
-// build/tinyFaceDetector/TinyFaceDetector.js
+// build/src/tinyFaceDetector/TinyFaceDetector.js
 class TinyFaceDetector extends TinyYolov2Base {
   constructor() {
     const config2 = {
@@ -23849,7 +23855,7 @@ class TinyFaceDetector extends TinyYolov2Base {
   }
 }
 
-// build/globalApi/nets.js
+// build/src/globalApi/nets.js
 const nets = {
   ssdMobilenetv1: new SsdMobilenetv1(),
   tinyFaceDetector: new TinyFaceDetector(),
@@ -23880,7 +23886,7 @@ const loadFaceDetectionModel = loadSsdMobilenetv1Model;
 const locateFaces = ssdMobilenetv1;
 const detectLandmarks = detectFaceLandmarks;
 
-// build/globalApi/PredictFaceExpressionsTask.js
+// build/src/globalApi/PredictFaceExpressionsTask.js
 class PredictFaceExpressionsTaskBase extends ComposableTask {
   constructor(parentTask, input, extractedFaces) {
     super();
@@ -23929,7 +23935,7 @@ class PredictSingleFaceExpressionsWithFaceAlignmentTask extends PredictSingleFac
   }
 }
 
-// build/globalApi/PredictAgeAndGenderTask.js
+// build/src/globalApi/PredictAgeAndGenderTask.js
 class PredictAgeAndGenderTaskBase extends ComposableTask {
   constructor(parentTask, input, extractedFaces) {
     super();
@@ -23981,7 +23987,7 @@ class PredictSingleAgeAndGenderWithFaceAlignmentTask extends PredictSingleAgeAnd
   }
 }
 
-// build/globalApi/ComputeFaceDescriptorsTasks.js
+// build/src/globalApi/ComputeFaceDescriptorsTasks.js
 class ComputeFaceDescriptorsTaskBase extends ComposableTask {
   constructor(parentTask, input) {
     super();
@@ -24019,7 +24025,7 @@ class ComputeSingleFaceDescriptorTask extends ComputeFaceDescriptorsTaskBase {
   }
 }
 
-// build/globalApi/DetectFaceLandmarksTasks.js
+// build/src/globalApi/DetectFaceLandmarksTasks.js
 class DetectFaceLandmarksTaskBase extends ComposableTask {
   constructor(parentTask, input, useTinyLandmarkNet) {
     super();
@@ -24073,7 +24079,7 @@ class DetectSingleFaceLandmarksTask extends DetectFaceLandmarksTaskBase {
   }
 }
 
-// build/globalApi/DetectFacesTasks.js
+// build/src/globalApi/DetectFacesTasks.js
 class DetectFacesTaskBase extends ComposableTask {
   constructor(input, options = new SsdMobilenetv1Options()) {
     super();
@@ -24134,7 +24140,7 @@ class DetectSingleFaceTask extends DetectFacesTaskBase {
   }
 }
 
-// build/globalApi/detectFaces.js
+// build/src/globalApi/detectFaces.js
 function detectSingleFace(input, options = new SsdMobilenetv1Options()) {
   return new DetectSingleFaceTask(input, options);
 }
@@ -24142,7 +24148,7 @@ function detectAllFaces(input, options = new SsdMobilenetv1Options()) {
   return new DetectAllFacesTask(input, options);
 }
 
-// build/globalApi/allFaces.js
+// build/src/globalApi/allFaces.js
 async function allFacesSsdMobilenetv1(input, minConfidence) {
   console.warn("allFacesSsdMobilenetv1 is deprecated and will be removed soon, use the high level api instead");
   return await detectAllFaces(input, new SsdMobilenetv1Options(minConfidence ? {minConfidence} : {})).withFaceLandmarks().withFaceDescriptors();
@@ -24153,7 +24159,7 @@ async function allFacesTinyYolov2(input, forwardParams = {}) {
 }
 const allFaces = allFacesSsdMobilenetv1;
 
-// build/euclideanDistance.js
+// build/src/euclideanDistance.js
 function euclideanDistance(arr1, arr2) {
   if (arr1.length !== arr2.length)
     throw new Error("euclideanDistance: arr1.length !== arr2.length");
@@ -24162,7 +24168,7 @@ function euclideanDistance(arr1, arr2) {
   return Math.sqrt(desc1.map((val, i) => val - desc2[i]).reduce((res, diff) => res + Math.pow(diff, 2), 0));
 }
 
-// build/globalApi/FaceMatcher.js
+// build/src/globalApi/FaceMatcher.js
 class FaceMatcher {
   constructor(inputs, distanceThreshold = 0.6) {
     this._distanceThreshold = distanceThreshold;
@@ -24213,18 +24219,18 @@ class FaceMatcher {
   }
 }
 
-// build/globalApi/types.js
+// build/src/globalApi/types.js
 
-// build/globalApi/index.js
+// build/src/globalApi/index.js
 
-// build/tinyFaceDetector/index.js
+// build/src/tinyFaceDetector/index.js
 function createTinyFaceDetector(weights) {
   const net = new TinyFaceDetector();
   net.extractWeights(weights);
   return net;
 }
 
-// build/resizeResults.js
+// build/src/resizeResults.js
 function resizeResults(results, dimensions) {
   const {width, height} = new Dimensions(dimensions.width, dimensions.height);
   if (width <= 0 || height <= 0) {
@@ -24247,7 +24253,10 @@ function resizeResults(results, dimensions) {
   return results;
 }
 
-// build/index.js
+// build/package.json
+var version2 = "0.4.5";
+
+// build/src/index.js
 __export(exports, {
   AgeGenderNet: () => AgeGenderNet,
   BoundingBox: () => BoundingBox,
@@ -24363,13 +24372,13 @@ __export(exports, {
   shuffleArray: () => shuffleArray,
   sigmoid: () => sigmoid6,
   ssdMobilenetv1: () => ssdMobilenetv1,
-  test: () => test,
   tf: () => dist_exports,
   tinyFaceDetector: () => tinyFaceDetector,
   tinyYolov2: () => tinyYolov23,
   toNetInput: () => toNetInput,
   utils: () => utils_exports,
-  validateConfig: () => validateConfig
+  validateConfig: () => validateConfig,
+  version: () => version3
 });
-const test = "test";
+const version3 = {faceapi: version2, tfjs_core: version, env: ENV.getFlags()};
 //# sourceMappingURL=face-api.cjs.map
diff --git a/dist/face-api.cjs.map b/dist/face-api.cjs.map
index 1a8fa78..bff8558 100644
--- a/dist/face-api.cjs.map
+++ b/dist/face-api.cjs.map
@@ -1,7 +1,7 @@
 {
   "version": 3,
-  "sources": ["node_modules/seedrandom/lib/alea.js", "node_modules/seedrandom/lib/xor128.js", "node_modules/seedrandom/lib/xorwow.js", "node_modules/seedrandom/lib/xorshift7.js", "node_modules/seedrandom/lib/xor4096.js", "node_modules/seedrandom/lib/tychei.js", "node_modules/seedrandom/seedrandom.js", "node_modules/seedrandom/index.js", "build/env/../../src/env/isNodejs.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/environment.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/global_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/kernel_names.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/kernel_registry.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/profiler.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tape.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_format.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/types.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/engine.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/device_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/flags.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_util_env.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/operation.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/abs.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/acos.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/acosh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/add.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/add_n.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/axis_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reshape.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/transpose.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/all.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/any.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/arg_max.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/arg_min.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/asin.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/asinh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/atan.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/atan2.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/atanh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cast.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/avg_pool.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/globals.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/avg_pool_3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor_ops_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/mat_mul.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/mul.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sigmoid.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/slice_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/slice.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tanh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/basic_lstm_cell.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batch_to_space_nd.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/clone.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/broadcast_to.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/buffer.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/ceil.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/clip_by_value.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/complex.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv2d_backprop_input.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv2d_transpose.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv3d_backprop_input.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv3d_transpose.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cos.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cosh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cumsum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/depth_to_space.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/depthwise_conv2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/diag.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/dilation2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/floorDiv.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/div.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/broadcast_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/where.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/zeros_like.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/div_no_nan.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/dot.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/elu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/erf.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/exp.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/expand_dims.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/expm1.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tile.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/eye.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/fft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/fill.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/floor.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reduce_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/segment_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/gather.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/greater.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/greater_equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/ifft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/imag.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/real.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/scalar.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/irfft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/is_finite.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/is_inf.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/is_nan.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/maximum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/leaky_relu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/less.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/less_equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/linspace.ts", 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   "sourcesContent": ["// A port of an algorithm by Johannes Baag\u00F8e <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  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Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null],
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   "names": []
 }
diff --git a/dist/face-api.ejs b/dist/face-api.ejs
index db47682..b284e2a 100644
--- a/dist/face-api.ejs
+++ b/dist/face-api.ejs
@@ -671,7 +671,7 @@ var require_seedrandom2 = __commonJS((exports, module) => {
   module.exports = sr;
 });
 
-// build/env/isNodejs.js
+// build/src/env/isNodejs.js
 var require_isNodejs = __commonJS((exports, module) => {
   __export(exports, {
     isNodejs: () => isNodejs3
@@ -20123,7 +20123,7 @@ __export(dist_exports, {
  * =============================================================================
  */
 
-// build/draw/drawContour.js
+// build/src/draw/drawContour.js
 function drawContour(ctx, points, isClosed = false) {
   ctx.beginPath();
   points.slice(1).forEach(({x, y}, prevIdx) => {
@@ -20143,7 +20143,7 @@ function drawContour(ctx, points, isClosed = false) {
   ctx.stroke();
 }
 
-// build/classes/Dimensions.js
+// build/src/classes/Dimensions.js
 class Dimensions {
   constructor(width, height) {
     if (!isValidNumber(width) || !isValidNumber(height)) {
@@ -20163,7 +20163,7 @@ class Dimensions {
   }
 }
 
-// build/utils/index.js
+// build/src/utils/index.js
 const utils_exports = {};
 __export(utils_exports, {
   computeReshapedDimensions: () => computeReshapedDimensions,
@@ -20226,7 +20226,7 @@ function isValidProbablitiy(num) {
   return isValidNumber(num) && 0 <= num && num <= 1;
 }
 
-// build/classes/Point.js
+// build/src/classes/Point.js
 class Point {
   constructor(x, y) {
     this._x = x;
@@ -20261,7 +20261,7 @@ class Point {
   }
 }
 
-// build/classes/Box.js
+// build/src/classes/Box.js
 class Box {
   constructor(_box, allowNegativeDimensions = true) {
     const box = _box || {};
@@ -20422,14 +20422,14 @@ class Box {
   }
 }
 
-// build/classes/BoundingBox.js
+// build/src/classes/BoundingBox.js
 class BoundingBox extends Box {
   constructor(left, top, right, bottom, allowNegativeDimensions = false) {
     super({left, top, right, bottom}, allowNegativeDimensions);
   }
 }
 
-// build/classes/ObjectDetection.js
+// build/src/classes/ObjectDetection.js
 class ObjectDetection {
   constructor(score, classScore, className, relativeBox, imageDims) {
     this._imageDims = new Dimensions(imageDims.width, imageDims.height);
@@ -20467,7 +20467,7 @@ class ObjectDetection {
   }
 }
 
-// build/classes/FaceDetection.js
+// build/src/classes/FaceDetection.js
 class FaceDetection extends ObjectDetection {
   constructor(score, relativeBox, imageDims) {
     super(score, score, "", relativeBox, imageDims);
@@ -20478,7 +20478,7 @@ class FaceDetection extends ObjectDetection {
   }
 }
 
-// build/ops/iou.js
+// build/src/ops/iou.js
 function iou(box1, box2, isIOU = true) {
   const width = Math.max(0, Math.min(box1.right, box2.right) - Math.max(box1.left, box2.left));
   const height = Math.max(0, Math.min(box1.bottom, box2.bottom) - Math.max(box1.top, box2.top));
@@ -20486,7 +20486,7 @@ function iou(box1, box2, isIOU = true) {
   return isIOU ? interSection / (box1.area + box2.area - interSection) : interSection / Math.min(box1.area, box2.area);
 }
 
-// build/ops/minBbox.js
+// build/src/ops/minBbox.js
 function minBbox(pts) {
   const xs = pts.map((pt) => pt.x);
   const ys = pts.map((pt) => pt.y);
@@ -20497,7 +20497,7 @@ function minBbox(pts) {
   return new BoundingBox(minX, minY, maxX, maxY);
 }
 
-// build/ops/nonMaxSuppression.js
+// build/src/ops/nonMaxSuppression.js
 function nonMaxSuppression2(boxes, scores, iouThreshold, isIOU = true) {
   let indicesSortedByScore = scores.map((score, boxIndex) => ({score, boxIndex})).sort((c1, c2) => c1.score - c2.score).map((c) => c.boxIndex);
   const pick = [];
@@ -20517,7 +20517,7 @@ function nonMaxSuppression2(boxes, scores, iouThreshold, isIOU = true) {
   return pick;
 }
 
-// build/ops/normalize.js
+// build/src/ops/normalize.js
 function normalize(x, meanRgb) {
   return tidy(() => {
     const [r, g, b] = meanRgb;
@@ -20529,7 +20529,7 @@ function normalize(x, meanRgb) {
   });
 }
 
-// build/ops/padToSquare.js
+// build/src/ops/padToSquare.js
 function padToSquare(imgTensor, isCenterImage = false) {
   return tidy(() => {
     const [height, width] = imgTensor.shape.slice(1);
@@ -20551,12 +20551,12 @@ function padToSquare(imgTensor, isCenterImage = false) {
       paddingTensorPrepend,
       imgTensor,
       paddingTensorAppend
-    ].filter((t) => !!t).map((t) => t.toFloat());
+    ].filter((t) => !!t).map((t) => cast(t, "float32"));
     return concat(tensorsToStack, paddingAxis);
   });
 }
 
-// build/ops/shuffleArray.js
+// build/src/ops/shuffleArray.js
 function shuffleArray(inputArray) {
   const array = inputArray.slice();
   for (let i = array.length - 1; i > 0; i--) {
@@ -20568,7 +20568,7 @@ function shuffleArray(inputArray) {
   return array;
 }
 
-// build/ops/index.js
+// build/src/ops/index.js
 function sigmoid6(x) {
   return 1 / (1 + Math.exp(-x));
 }
@@ -20576,14 +20576,14 @@ function inverseSigmoid(x) {
   return Math.log(x / (1 - x));
 }
 
-// build/classes/Rect.js
+// build/src/classes/Rect.js
 class Rect extends Box {
   constructor(x, y, width, height, allowNegativeDimensions = false) {
     super({x, y, width, height}, allowNegativeDimensions);
   }
 }
 
-// build/classes/FaceLandmarks.js
+// build/src/classes/FaceLandmarks.js
 const relX = 0.5;
 const relY = 0.43;
 const relScale = 0.45;
@@ -20649,7 +20649,7 @@ class FaceLandmarks {
   }
 }
 
-// build/classes/FaceLandmarks5.js
+// build/src/classes/FaceLandmarks5.js
 class FaceLandmarks5 extends FaceLandmarks {
   getRefPointsForAlignment() {
     const pts = this.positions;
@@ -20661,7 +20661,7 @@ class FaceLandmarks5 extends FaceLandmarks {
   }
 }
 
-// build/classes/FaceLandmarks68.js
+// build/src/classes/FaceLandmarks68.js
 class FaceLandmarks68 extends FaceLandmarks {
   getJawOutline() {
     return this.positions.slice(0, 17);
@@ -20693,7 +20693,7 @@ class FaceLandmarks68 extends FaceLandmarks {
   }
 }
 
-// build/classes/FaceMatch.js
+// build/src/classes/FaceMatch.js
 class FaceMatch {
   constructor(label, distance) {
     this._label = label;
@@ -20710,7 +20710,7 @@ class FaceMatch {
   }
 }
 
-// build/classes/LabeledBox.js
+// build/src/classes/LabeledBox.js
 class LabeledBox extends Box {
   constructor(box, label) {
     super(box);
@@ -20727,7 +20727,7 @@ class LabeledBox extends Box {
   }
 }
 
-// build/classes/LabeledFaceDescriptors.js
+// build/src/classes/LabeledFaceDescriptors.js
 class LabeledFaceDescriptors {
   constructor(label, descriptors) {
     if (!(typeof label === "string")) {
@@ -20759,7 +20759,7 @@ class LabeledFaceDescriptors {
   }
 }
 
-// build/classes/PredictedBox.js
+// build/src/classes/PredictedBox.js
 class PredictedBox extends LabeledBox {
   constructor(box, label, score, classScore) {
     super(box, label);
@@ -20780,9 +20780,9 @@ class PredictedBox extends LabeledBox {
   }
 }
 
-// build/classes/index.js
+// build/src/classes/index.js
 
-// build/factories/WithFaceDetection.js
+// build/src/factories/WithFaceDetection.js
 function isWithFaceDetection(obj) {
   return obj["detection"] instanceof FaceDetection;
 }
@@ -20791,7 +20791,7 @@ function extendWithFaceDetection(sourceObj, detection) {
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/env/createBrowserEnv.js
+// build/src/env/createBrowserEnv.js
 function createBrowserEnv() {
   const fetch3 = window["fetch"] || function() {
     throw new Error("fetch - missing fetch implementation for browser environment");
@@ -20812,7 +20812,7 @@ function createBrowserEnv() {
   };
 }
 
-// build/env/createFileSystem.js
+// build/src/env/createFileSystem.js
 function createFileSystem(fs) {
   let requireFsError = "";
   if (!fs) {
@@ -20836,7 +20836,7 @@ function createFileSystem(fs) {
   };
 }
 
-// build/env/createNodejsEnv.js
+// build/src/env/createNodejsEnv.js
 function createNodejsEnv() {
   const Canvas = global["Canvas"] || global["HTMLCanvasElement"];
   const Image = global["Image"] || global["HTMLImageElement"];
@@ -20873,14 +20873,14 @@ function createNodejsEnv() {
   }, fileSystem);
 }
 
-// build/env/isBrowser.js
+// build/src/env/isBrowser.js
 function isBrowser2() {
   return typeof window === "object" && typeof document !== "undefined" && typeof HTMLImageElement !== "undefined" && typeof HTMLCanvasElement !== "undefined" && typeof HTMLVideoElement !== "undefined" && typeof ImageData !== "undefined" && typeof CanvasRenderingContext2D !== "undefined";
 }
 
-// build/env/types.js
+// build/src/env/types.js
 
-// build/env/index.js
+// build/src/env/index.js
 const isNodejs = __toModule(require_isNodejs());
 let environment11;
 function getEnv() {
@@ -20930,7 +20930,7 @@ const env2 = {
 };
 initialize();
 
-// build/dom/resolveInput.js
+// build/src/dom/resolveInput.js
 function resolveInput(arg) {
   if (!env2.isNodejs() && typeof arg === "string") {
     return document.getElementById(arg);
@@ -20938,7 +20938,7 @@ function resolveInput(arg) {
   return arg;
 }
 
-// build/dom/getContext2dOrThrow.js
+// build/src/dom/getContext2dOrThrow.js
 function getContext2dOrThrow(canvasArg) {
   const {Canvas, CanvasRenderingContext2D: CanvasRenderingContext2D2} = env2.getEnv();
   if (canvasArg instanceof CanvasRenderingContext2D2) {
@@ -20955,7 +20955,7 @@ function getContext2dOrThrow(canvasArg) {
   return ctx;
 }
 
-// build/draw/DrawTextField.js
+// build/src/draw/DrawTextField.js
 var AnchorPosition;
 (function(AnchorPosition2) {
   AnchorPosition2["TOP_LEFT"] = "TOP_LEFT";
@@ -21023,7 +21023,7 @@ class DrawTextField {
   }
 }
 
-// build/draw/DrawBox.js
+// build/src/draw/DrawBox.js
 class DrawBoxOptions {
   constructor(options = {}) {
     const {boxColor, lineWidth, label, drawLabelOptions} = options;
@@ -21056,7 +21056,7 @@ class DrawBox {
   }
 }
 
-// build/draw/drawDetections.js
+// build/src/draw/drawDetections.js
 function drawDetections(canvasArg, detections) {
   const detectionsArray = Array.isArray(detections) ? detections : [detections];
   detectionsArray.forEach((det) => {
@@ -21067,13 +21067,13 @@ function drawDetections(canvasArg, detections) {
   });
 }
 
-// build/dom/isMediaLoaded.js
+// build/src/dom/isMediaLoaded.js
 function isMediaLoaded(media) {
   const {Image, Video} = env2.getEnv();
   return media instanceof Image && media.complete || media instanceof Video && media.readyState >= 3;
 }
 
-// build/dom/awaitMediaLoaded.js
+// build/src/dom/awaitMediaLoaded.js
 function awaitMediaLoaded(media) {
   return new Promise((resolve, reject) => {
     if (media instanceof env2.getEnv().Canvas || isMediaLoaded(media)) {
@@ -21098,7 +21098,7 @@ function awaitMediaLoaded(media) {
   });
 }
 
-// build/dom/bufferToImage.js
+// build/src/dom/bufferToImage.js
 function bufferToImage(buf) {
   return new Promise((resolve, reject) => {
     if (!(buf instanceof Blob)) {
@@ -21119,7 +21119,7 @@ function bufferToImage(buf) {
   });
 }
 
-// build/dom/getMediaDimensions.js
+// build/src/dom/getMediaDimensions.js
 function getMediaDimensions(input) {
   const {Image, Video} = env2.getEnv();
   if (input instanceof Image) {
@@ -21131,7 +21131,7 @@ function getMediaDimensions(input) {
   return new Dimensions(input.width, input.height);
 }
 
-// build/dom/createCanvas.js
+// build/src/dom/createCanvas.js
 function createCanvas({width, height}) {
   const {createCanvasElement} = env2.getEnv();
   const canvas = createCanvasElement();
@@ -21154,7 +21154,7 @@ function createCanvasFromMedia(media, dims) {
   return canvas;
 }
 
-// build/dom/imageTensorToCanvas.js
+// build/src/dom/imageTensorToCanvas.js
 async function imageTensorToCanvas(imgTensor, canvas) {
   const targetCanvas = canvas || env2.getEnv().createCanvasElement();
   const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0);
@@ -21164,13 +21164,13 @@ async function imageTensorToCanvas(imgTensor, canvas) {
   return targetCanvas;
 }
 
-// build/dom/isMediaElement.js
+// build/src/dom/isMediaElement.js
 function isMediaElement(input) {
   const {Image, Canvas, Video} = env2.getEnv();
   return input instanceof Image || input instanceof Canvas || input instanceof Video;
 }
 
-// build/dom/imageToSquare.js
+// build/src/dom/imageToSquare.js
 function imageToSquare(input, inputSize, centerImage = false) {
   const {Image, Canvas} = env2.getEnv();
   if (!(input instanceof Image || input instanceof Canvas)) {
@@ -21189,7 +21189,7 @@ function imageToSquare(input, inputSize, centerImage = false) {
   return targetCanvas;
 }
 
-// build/dom/NetInput.js
+// build/src/dom/NetInput.js
 class NetInput {
   constructor(inputs, treatAsBatchInput = false) {
     this._imageTensors = [];
@@ -21280,13 +21280,13 @@ class NetInput {
         }
         throw new Error(`toBatchTensor - at batchIdx ${batchIdx}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${input}`);
       });
-      const batchTensor = stack(inputTensors.map((t) => t.toFloat())).as4D(this.batchSize, inputSize, inputSize, 3);
+      const batchTensor = stack(inputTensors.map((t) => cast(t, "float32"))).as4D(this.batchSize, inputSize, inputSize, 3);
       return batchTensor;
     });
   }
 }
 
-// build/dom/toNetInput.js
+// build/src/dom/toNetInput.js
 async function toNetInput(inputs) {
   if (inputs instanceof NetInput) {
     return inputs;
@@ -21315,7 +21315,7 @@ async function toNetInput(inputs) {
   return new NetInput(inputArray, Array.isArray(inputs));
 }
 
-// build/dom/extractFaces.js
+// build/src/dom/extractFaces.js
 async function extractFaces(input, detections) {
   const {Canvas} = env2.getEnv();
   let canvas = input;
@@ -21336,7 +21336,7 @@ async function extractFaces(input, detections) {
   });
 }
 
-// build/dom/extractFaceTensors.js
+// build/src/dom/extractFaceTensors.js
 async function extractFaceTensors(imageTensor, detections) {
   if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {
     throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");
@@ -21352,7 +21352,7 @@ async function extractFaceTensors(imageTensor, detections) {
   });
 }
 
-// build/dom/fetchOrThrow.js
+// build/src/dom/fetchOrThrow.js
 async function fetchOrThrow(url, init) {
   const fetch3 = env2.getEnv().fetch;
   const res = await fetch3(url, init);
@@ -21362,7 +21362,7 @@ async function fetchOrThrow(url, init) {
   return res;
 }
 
-// build/dom/fetchImage.js
+// build/src/dom/fetchImage.js
 async function fetchImage(uri) {
   const res = await fetchOrThrow(uri);
   const blob = await res.blob();
@@ -21372,17 +21372,17 @@ async function fetchImage(uri) {
   return bufferToImage(blob);
 }
 
-// build/dom/fetchJson.js
+// build/src/dom/fetchJson.js
 async function fetchJson(uri) {
   return (await fetchOrThrow(uri)).json();
 }
 
-// build/dom/fetchNetWeights.js
+// build/src/dom/fetchNetWeights.js
 async function fetchNetWeights(uri) {
   return new Float32Array(await (await fetchOrThrow(uri)).arrayBuffer());
 }
 
-// build/common/getModelUris.js
+// build/src/common/getModelUris.js
 function getModelUris(uri, defaultModelName) {
   const defaultManifestFilename = `${defaultModelName}-weights_manifest.json`;
   if (!uri) {
@@ -21409,14 +21409,14 @@ function getModelUris(uri, defaultModelName) {
   };
 }
 
-// build/dom/loadWeightMap.js
+// build/src/dom/loadWeightMap.js
 async function loadWeightMap(uri, defaultModelName) {
   const {manifestUri, modelBaseUri} = getModelUris(uri, defaultModelName);
   let manifest = await fetchJson(manifestUri);
   return io_exports.loadWeights(manifest, modelBaseUri);
 }
 
-// build/dom/matchDimensions.js
+// build/src/dom/matchDimensions.js
 function matchDimensions(input, reference, useMediaDimensions = false) {
   const {width, height} = useMediaDimensions ? getMediaDimensions(reference) : reference;
   input.width = width;
@@ -21424,16 +21424,22 @@ function matchDimensions(input, reference, useMediaDimensions = false) {
   return {width, height};
 }
 
-// build/dom/types.js
+// build/src/dom/types.js
 
-// build/dom/index.js
+// build/src/dom/index.js
 
-// build/NeuralNetwork.js
+// build/src/NeuralNetwork.js
 class NeuralNetwork {
   constructor(_name) {
     this._name = _name;
     this._params = void 0;
     this._paramMappings = [];
+    try {
+      const testTensor = tensor5([0]);
+      testTensor.toFloat();
+    } catch (err) {
+      throw new Error(`module not loaded: load '@tensorflow/tfjs' or '@tensorflow/tfjs-core' with appropriate backend explicitly: ${err}`);
+    }
   }
   get params() {
     return this._params;
@@ -21543,7 +21549,7 @@ class NeuralNetwork {
   }
 }
 
-// build/common/depthwiseSeparableConv.js
+// build/src/common/depthwiseSeparableConv.js
 function depthwiseSeparableConv(x, params, stride) {
   return tidy(() => {
     let out = separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, "same");
@@ -21552,7 +21558,7 @@ function depthwiseSeparableConv(x, params, stride) {
   });
 }
 
-// build/faceFeatureExtractor/denseBlock.js
+// build/src/faceFeatureExtractor/denseBlock.js
 function denseBlock3(x, denseBlockParams, isFirstLayer = false) {
   return tidy(() => {
     const out1 = relu(isFirstLayer ? add2(conv2d(x, denseBlockParams.conv0.filters, [2, 2], "same"), denseBlockParams.conv0.bias) : depthwiseSeparableConv(x, denseBlockParams.conv0, [2, 2]));
@@ -21574,7 +21580,7 @@ function denseBlock4(x, denseBlockParams, isFirstLayer = false, isScaleDown = tr
   });
 }
 
-// build/common/convLayer.js
+// build/src/common/convLayer.js
 function convLayer(x, params, padding = "same", withRelu = false) {
   return tidy(() => {
     const out = add2(conv2d(x, params.filters, [1, 1], padding), params.bias);
@@ -21582,7 +21588,7 @@ function convLayer(x, params, padding = "same", withRelu = false) {
   });
 }
 
-// build/common/disposeUnusedWeightTensors.js
+// build/src/common/disposeUnusedWeightTensors.js
 function disposeUnusedWeightTensors(weightMap, paramMappings) {
   Object.keys(weightMap).forEach((path) => {
     if (!paramMappings.some((pm) => pm.originalPath === path)) {
@@ -21591,7 +21597,7 @@ function disposeUnusedWeightTensors(weightMap, paramMappings) {
   });
 }
 
-// build/common/extractConvParamsFactory.js
+// build/src/common/extractConvParamsFactory.js
 function extractConvParamsFactory(extractWeights, paramMappings) {
   return function(channelsIn, channelsOut, filterSize, mappedPrefix) {
     const filters = tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
@@ -21601,7 +21607,7 @@ function extractConvParamsFactory(extractWeights, paramMappings) {
   };
 }
 
-// build/common/extractFCParamsFactory.js
+// build/src/common/extractFCParamsFactory.js
 function extractFCParamsFactory(extractWeights, paramMappings) {
   return function(channelsIn, channelsOut, mappedPrefix) {
     const fc_weights = tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);
@@ -21614,7 +21620,7 @@ function extractFCParamsFactory(extractWeights, paramMappings) {
   };
 }
 
-// build/common/types.js
+// build/src/common/types.js
 class SeparableConvParams {
   constructor(depthwise_filter, pointwise_filter, bias) {
     this.depthwise_filter = depthwise_filter;
@@ -21623,7 +21629,7 @@ class SeparableConvParams {
   }
 }
 
-// build/common/extractSeparableConvParamsFactory.js
+// build/src/common/extractSeparableConvParamsFactory.js
 function extractSeparableConvParamsFactory(extractWeights, paramMappings) {
   return function(channelsIn, channelsOut, mappedPrefix) {
     const depthwise_filter = tensor4d(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);
@@ -21642,7 +21648,7 @@ function loadSeparableConvParamsFactory(extractWeightEntry) {
   };
 }
 
-// build/common/extractWeightEntryFactory.js
+// build/src/common/extractWeightEntryFactory.js
 function extractWeightEntryFactory(weightMap, paramMappings) {
   return function(originalPath, paramRank, mappedPath) {
     const tensor17 = weightMap[originalPath];
@@ -21654,7 +21660,7 @@ function extractWeightEntryFactory(weightMap, paramMappings) {
   };
 }
 
-// build/common/extractWeightsFactory.js
+// build/src/common/extractWeightsFactory.js
 function extractWeightsFactory(weights) {
   let remainingWeights = weights;
   function extractWeights(numWeights) {
@@ -21671,9 +21677,9 @@ function extractWeightsFactory(weights) {
   };
 }
 
-// build/common/index.js
+// build/src/common/index.js
 
-// build/faceFeatureExtractor/extractorsFactory.js
+// build/src/faceFeatureExtractor/extractorsFactory.js
 function extractorsFactory(extractWeights, paramMappings) {
   const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
   const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);
@@ -21694,7 +21700,7 @@ function extractorsFactory(extractWeights, paramMappings) {
   };
 }
 
-// build/faceFeatureExtractor/extractParams.js
+// build/src/faceFeatureExtractor/extractParams.js
 function extractParams(weights) {
   const paramMappings = [];
   const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -21712,7 +21718,7 @@ function extractParams(weights) {
   };
 }
 
-// build/common/loadConvParamsFactory.js
+// build/src/common/loadConvParamsFactory.js
 function loadConvParamsFactory(extractWeightEntry) {
   return function(prefix) {
     const filters = extractWeightEntry(`${prefix}/filters`, 4);
@@ -21721,7 +21727,7 @@ function loadConvParamsFactory(extractWeightEntry) {
   };
 }
 
-// build/faceFeatureExtractor/loadParamsFactory.js
+// build/src/faceFeatureExtractor/loadParamsFactory.js
 function loadParamsFactory(weightMap, paramMappings) {
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
   const extractConvParams = loadConvParamsFactory(extractWeightEntry);
@@ -21745,7 +21751,7 @@ function loadParamsFactory(weightMap, paramMappings) {
   };
 }
 
-// build/faceFeatureExtractor/extractParamsFromWeigthMap.js
+// build/src/faceFeatureExtractor/extractParamsFromWeigthMap.js
 function extractParamsFromWeigthMap(weightMap) {
   const paramMappings = [];
   const {extractDenseBlock4Params} = loadParamsFactory(weightMap, paramMappings);
@@ -21759,7 +21765,7 @@ function extractParamsFromWeigthMap(weightMap) {
   return {params, paramMappings};
 }
 
-// build/faceFeatureExtractor/FaceFeatureExtractor.js
+// build/src/faceFeatureExtractor/FaceFeatureExtractor.js
 class FaceFeatureExtractor extends NeuralNetwork {
   constructor() {
     super("FaceFeatureExtractor");
@@ -21795,12 +21801,12 @@ class FaceFeatureExtractor extends NeuralNetwork {
   }
 }
 
-// build/common/fullyConnectedLayer.js
+// build/src/common/fullyConnectedLayer.js
 function fullyConnectedLayer(x, params) {
   return tidy(() => add2(matMul(x, params.weights), params.bias));
 }
 
-// build/faceProcessor/extractParams.js
+// build/src/faceProcessor/extractParams.js
 function extractParams3(weights, channelsIn, channelsOut) {
   const paramMappings = [];
   const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -21815,7 +21821,7 @@ function extractParams3(weights, channelsIn, channelsOut) {
   };
 }
 
-// build/faceProcessor/extractParamsFromWeigthMap.js
+// build/src/faceProcessor/extractParamsFromWeigthMap.js
 function extractParamsFromWeigthMap3(weightMap) {
   const paramMappings = [];
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
@@ -21831,7 +21837,7 @@ function extractParamsFromWeigthMap3(weightMap) {
   return {params, paramMappings};
 }
 
-// build/faceProcessor/util.js
+// build/src/faceProcessor/util.js
 function seperateWeightMaps(weightMap) {
   const featureExtractorMap = {};
   const classifierMap = {};
@@ -21842,7 +21848,7 @@ function seperateWeightMaps(weightMap) {
   return {featureExtractorMap, classifierMap};
 }
 
-// build/faceProcessor/FaceProcessor.js
+// build/src/faceProcessor/FaceProcessor.js
 class FaceProcessor extends NeuralNetwork {
   constructor(_name, faceFeatureExtractor) {
     super(_name);
@@ -21889,7 +21895,7 @@ class FaceProcessor extends NeuralNetwork {
   }
 }
 
-// build/faceExpressionNet/FaceExpressions.js
+// build/src/faceExpressionNet/FaceExpressions.js
 const FACE_EXPRESSION_LABELS = ["neutral", "happy", "sad", "angry", "fearful", "disgusted", "surprised"];
 class FaceExpressions {
   constructor(probabilities) {
@@ -21905,7 +21911,7 @@ class FaceExpressions {
   }
 }
 
-// build/faceExpressionNet/FaceExpressionNet.js
+// build/src/faceExpressionNet/FaceExpressionNet.js
 class FaceExpressionNet extends FaceProcessor {
   constructor(faceFeatureExtractor = new FaceFeatureExtractor()) {
     super("FaceExpressionNet", faceFeatureExtractor);
@@ -21939,9 +21945,9 @@ class FaceExpressionNet extends FaceProcessor {
   }
 }
 
-// build/faceExpressionNet/index.js
+// build/src/faceExpressionNet/index.js
 
-// build/factories/WithFaceExpressions.js
+// build/src/factories/WithFaceExpressions.js
 function isWithFaceExpressions(obj) {
   return obj["expressions"] instanceof FaceExpressions;
 }
@@ -21950,7 +21956,7 @@ function extendWithFaceExpressions(sourceObj, expressions) {
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/draw/drawFaceExpressions.js
+// build/src/draw/drawFaceExpressions.js
 function drawFaceExpressions(canvasArg, faceExpressions, minConfidence = 0.1, textFieldAnchor) {
   const faceExpressionsArray = Array.isArray(faceExpressions) ? faceExpressions : [faceExpressions];
   faceExpressionsArray.forEach((e) => {
@@ -21966,7 +21972,7 @@ function drawFaceExpressions(canvasArg, faceExpressions, minConfidence = 0.1, te
   });
 }
 
-// build/factories/WithFaceLandmarks.js
+// build/src/factories/WithFaceLandmarks.js
 function isWithFaceLandmarks(obj) {
   return isWithFaceDetection(obj) && obj["landmarks"] instanceof FaceLandmarks && obj["unshiftedLandmarks"] instanceof FaceLandmarks && obj["alignedRect"] instanceof FaceDetection;
 }
@@ -21984,7 +21990,7 @@ function extendWithFaceLandmarks(sourceObj, unshiftedLandmarks) {
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/draw/DrawFaceLandmarks.js
+// build/src/draw/DrawFaceLandmarks.js
 class DrawFaceLandmarksOptions {
   constructor(options = {}) {
     const {drawLines = true, drawPoints = true, lineWidth, lineColor, pointSize, pointColor} = options;
@@ -22038,7 +22044,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
   });
 }
 
-// build/draw/index.js
+// build/src/draw/index.js
 const draw_exports = {};
 __export(draw_exports, {
   AnchorPosition: () => AnchorPosition,
@@ -22054,7 +22060,7 @@ __export(draw_exports, {
   drawFaceLandmarks: () => drawFaceLandmarks
 });
 
-// build/xception/extractParams.js
+// build/src/xception/extractParams.js
 function extractorsFactory3(extractWeights, paramMappings) {
   const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
   const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);
@@ -22108,7 +22114,7 @@ function extractParams5(weights, numMainBlocks) {
   };
 }
 
-// build/xception/extractParamsFromWeigthMap.js
+// build/src/xception/extractParamsFromWeigthMap.js
 function loadParamsFactory3(weightMap, paramMappings) {
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
   const extractConvParams = loadConvParamsFactory(extractWeightEntry);
@@ -22157,7 +22163,7 @@ function extractParamsFromWeigthMap5(weightMap, numMainBlocks) {
   return {params: {entry_flow, middle_flow, exit_flow}, paramMappings};
 }
 
-// build/xception/TinyXception.js
+// build/src/xception/TinyXception.js
 function conv(x, params, stride) {
   return add2(conv2d(x, params.filters, stride, "same"), params.bias);
 }
@@ -22215,7 +22221,7 @@ class TinyXception extends NeuralNetwork {
   }
 }
 
-// build/ageGenderNet/extractParams.js
+// build/src/ageGenderNet/extractParams.js
 function extractParams7(weights) {
   const paramMappings = [];
   const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -22231,7 +22237,7 @@ function extractParams7(weights) {
   };
 }
 
-// build/ageGenderNet/extractParamsFromWeigthMap.js
+// build/src/ageGenderNet/extractParamsFromWeigthMap.js
 function extractParamsFromWeigthMap7(weightMap) {
   const paramMappings = [];
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
@@ -22250,14 +22256,14 @@ function extractParamsFromWeigthMap7(weightMap) {
   return {params, paramMappings};
 }
 
-// build/ageGenderNet/types.js
+// build/src/ageGenderNet/types.js
 var Gender;
 (function(Gender2) {
   Gender2["FEMALE"] = "female";
   Gender2["MALE"] = "male";
 })(Gender || (Gender = {}));
 
-// build/ageGenderNet/AgeGenderNet.js
+// build/src/ageGenderNet/AgeGenderNet.js
 class AgeGenderNet extends NeuralNetwork {
   constructor(faceFeatureExtractor = new TinyXception(2)) {
     super("AgeGenderNet");
@@ -22340,9 +22346,9 @@ class AgeGenderNet extends NeuralNetwork {
   }
 }
 
-// build/ageGenderNet/index.js
+// build/src/ageGenderNet/index.js
 
-// build/faceLandmarkNet/FaceLandmark68NetBase.js
+// build/src/faceLandmarkNet/FaceLandmark68NetBase.js
 class FaceLandmark68NetBase extends FaceProcessor {
   postProcess(output, inputSize, originalDimensions) {
     const inputDimensions = originalDimensions.map(({width, height}) => {
@@ -22397,7 +22403,7 @@ class FaceLandmark68NetBase extends FaceProcessor {
   }
 }
 
-// build/faceLandmarkNet/FaceLandmark68Net.js
+// build/src/faceLandmarkNet/FaceLandmark68Net.js
 class FaceLandmark68Net extends FaceLandmark68NetBase {
   constructor(faceFeatureExtractor = new FaceFeatureExtractor()) {
     super("FaceLandmark68Net", faceFeatureExtractor);
@@ -22410,7 +22416,7 @@ class FaceLandmark68Net extends FaceLandmark68NetBase {
   }
 }
 
-// build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
+// build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
 function extractParamsFromWeigthMapTiny(weightMap) {
   const paramMappings = [];
   const {extractDenseBlock3Params} = loadParamsFactory(weightMap, paramMappings);
@@ -22423,7 +22429,7 @@ function extractParamsFromWeigthMapTiny(weightMap) {
   return {params, paramMappings};
 }
 
-// build/faceFeatureExtractor/extractParamsTiny.js
+// build/src/faceFeatureExtractor/extractParamsTiny.js
 function extractParamsTiny(weights) {
   const paramMappings = [];
   const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -22440,7 +22446,7 @@ function extractParamsTiny(weights) {
   };
 }
 
-// build/faceFeatureExtractor/TinyFaceFeatureExtractor.js
+// build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.js
 class TinyFaceFeatureExtractor extends NeuralNetwork {
   constructor() {
     super("TinyFaceFeatureExtractor");
@@ -22475,7 +22481,7 @@ class TinyFaceFeatureExtractor extends NeuralNetwork {
   }
 }
 
-// build/faceLandmarkNet/FaceLandmark68TinyNet.js
+// build/src/faceLandmarkNet/FaceLandmark68TinyNet.js
 class FaceLandmark68TinyNet extends FaceLandmark68NetBase {
   constructor(faceFeatureExtractor = new TinyFaceFeatureExtractor()) {
     super("FaceLandmark68TinyNet", faceFeatureExtractor);
@@ -22488,16 +22494,16 @@ class FaceLandmark68TinyNet extends FaceLandmark68NetBase {
   }
 }
 
-// build/faceLandmarkNet/index.js
+// build/src/faceLandmarkNet/index.js
 class FaceLandmarkNet extends FaceLandmark68Net {
 }
 
-// build/faceRecognitionNet/scaleLayer.js
+// build/src/faceRecognitionNet/scaleLayer.js
 function scale(x, params) {
   return add2(mul(x, params.weights), params.biases);
 }
 
-// build/faceRecognitionNet/convLayer.js
+// build/src/faceRecognitionNet/convLayer.js
 function convLayer2(x, params, strides, withRelu, padding = "same") {
   const {filters, bias} = params.conv;
   let out = conv2d(x, filters, strides, padding);
@@ -22515,7 +22521,7 @@ function convDown(x, params) {
   return convLayer2(x, params, [2, 2], true, "valid");
 }
 
-// build/faceRecognitionNet/extractParams.js
+// build/src/faceRecognitionNet/extractParams.js
 function extractorsFactory5(extractWeights, paramMappings) {
   function extractFilterValues(numFilterValues, numFilters, filterSize) {
     const weights = extractWeights(numFilterValues);
@@ -22600,7 +22606,7 @@ function extractParams9(weights) {
   return {params, paramMappings};
 }
 
-// build/faceRecognitionNet/extractParamsFromWeigthMap.js
+// build/src/faceRecognitionNet/extractParamsFromWeigthMap.js
 function extractorsFactory6(weightMap, paramMappings) {
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
   function extractScaleLayerParams(prefix) {
@@ -22670,7 +22676,7 @@ function extractParamsFromWeigthMap9(weightMap) {
   return {params, paramMappings};
 }
 
-// build/faceRecognitionNet/residualLayer.js
+// build/src/faceRecognitionNet/residualLayer.js
 function residual(x, params) {
   let out = conv2(x, params.conv1);
   out = convNoRelu(out, params.conv2);
@@ -22701,7 +22707,7 @@ function residualDown(x, params) {
   return out;
 }
 
-// build/faceRecognitionNet/FaceRecognitionNet.js
+// build/src/faceRecognitionNet/FaceRecognitionNet.js
 class FaceRecognitionNet extends NeuralNetwork {
   constructor() {
     super("FaceRecognitionNet");
@@ -22712,7 +22718,7 @@ class FaceRecognitionNet extends NeuralNetwork {
       throw new Error("FaceRecognitionNet - load model before inference");
     }
     return tidy(() => {
-      const batchTensor = input.toBatchTensor(150, true).toFloat();
+      const batchTensor = cast(input.toBatchTensor(150, true), "float32");
       const meanRgb = [122.782, 117.001, 104.298];
       const normalized = normalize(batchTensor, meanRgb).div(scalar(256));
       let out = convDown(normalized, params.conv32_down);
@@ -22757,20 +22763,20 @@ class FaceRecognitionNet extends NeuralNetwork {
   }
 }
 
-// build/faceRecognitionNet/index.js
+// build/src/faceRecognitionNet/index.js
 function createFaceRecognitionNet(weights) {
   const net = new FaceRecognitionNet();
   net.extractWeights(weights);
   return net;
 }
 
-// build/factories/WithFaceDescriptor.js
+// build/src/factories/WithFaceDescriptor.js
 function extendWithFaceDescriptor(sourceObj, descriptor) {
   const extension = {descriptor};
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/factories/WithAge.js
+// build/src/factories/WithAge.js
 function isWithAge(obj) {
   return typeof obj["age"] === "number";
 }
@@ -22779,7 +22785,7 @@ function extendWithAge(sourceObj, age) {
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/factories/WithGender.js
+// build/src/factories/WithGender.js
 function isWithGender(obj) {
   return (obj["gender"] === Gender.MALE || obj["gender"] === Gender.FEMALE) && isValidProbablitiy(obj["genderProbability"]);
 }
@@ -22788,9 +22794,9 @@ function extendWithGender(sourceObj, gender, genderProbability) {
   return Object.assign({}, sourceObj, extension);
 }
 
-// build/factories/index.js
+// build/src/factories/index.js
 
-// build/ssdMobilenetv1/extractParams.js
+// build/src/ssdMobilenetv1/extractParams.js
 function extractorsFactory7(extractWeights, paramMappings) {
   function extractDepthwiseConvParams(numChannels, mappedPrefix) {
     const filters = tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);
@@ -22948,7 +22954,7 @@ function extractParams11(weights) {
   };
 }
 
-// build/ssdMobilenetv1/extractParamsFromWeigthMap.js
+// build/src/ssdMobilenetv1/extractParamsFromWeigthMap.js
 function extractorsFactory8(weightMap, paramMappings) {
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
   function extractPointwiseConvParams(prefix, idx, mappedPrefix) {
@@ -23047,7 +23053,7 @@ function extractParamsFromWeigthMap11(weightMap) {
   return {params, paramMappings};
 }
 
-// build/ssdMobilenetv1/pointwiseConvLayer.js
+// build/src/ssdMobilenetv1/pointwiseConvLayer.js
 function pointwiseConvLayer(x, params, strides) {
   return tidy(() => {
     let out = conv2d(x, params.filters, strides, "same");
@@ -23056,7 +23062,7 @@ function pointwiseConvLayer(x, params, strides) {
   });
 }
 
-// build/ssdMobilenetv1/mobileNetV1.js
+// build/src/ssdMobilenetv1/mobileNetV1.js
 const epsilon = 0.0010000000474974513;
 function depthwiseConvLayer(x, params, strides) {
   return tidy(() => {
@@ -23106,7 +23112,7 @@ function mobileNetV1(x, params) {
   });
 }
 
-// build/ssdMobilenetv1/nonMaxSuppression.js
+// build/src/ssdMobilenetv1/nonMaxSuppression.js
 function nonMaxSuppression3(boxes, scores, maxOutputSize, iouThreshold, scoreThreshold) {
   const numBoxes = boxes.shape[0];
   const outputSize = Math.min(maxOutputSize, numBoxes);
@@ -23157,7 +23163,7 @@ function IOU(boxes, i, j) {
   return intersectionArea / (areaI + areaJ - intersectionArea);
 }
 
-// build/ssdMobilenetv1/outputLayer.js
+// build/src/ssdMobilenetv1/outputLayer.js
 function getCenterCoordinatesAndSizesLayer(x) {
   const vec = unstack(transpose(x, [1, 0]));
   const sizes = [
@@ -23204,7 +23210,7 @@ function outputLayer(boxPredictions, classPredictions, params) {
   });
 }
 
-// build/ssdMobilenetv1/boxPredictionLayer.js
+// build/src/ssdMobilenetv1/boxPredictionLayer.js
 function boxPredictionLayer(x, params) {
   return tidy(() => {
     const batchSize = x.shape[0];
@@ -23217,7 +23223,7 @@ function boxPredictionLayer(x, params) {
   });
 }
 
-// build/ssdMobilenetv1/predictionLayer.js
+// build/src/ssdMobilenetv1/predictionLayer.js
 function predictionLayer(x, conv11, params) {
   return tidy(() => {
     const conv0 = pointwiseConvLayer(x, params.conv_0, [1, 1]);
@@ -23257,7 +23263,7 @@ function predictionLayer(x, conv11, params) {
   });
 }
 
-// build/ssdMobilenetv1/SsdMobilenetv1Options.js
+// build/src/ssdMobilenetv1/SsdMobilenetv1Options.js
 class SsdMobilenetv1Options {
   constructor({minConfidence, maxResults} = {}) {
     this._name = "SsdMobilenetv1Options";
@@ -23278,7 +23284,7 @@ class SsdMobilenetv1Options {
   }
 }
 
-// build/ssdMobilenetv1/SsdMobilenetv1.js
+// build/src/ssdMobilenetv1/SsdMobilenetv1.js
 class SsdMobilenetv1 extends NeuralNetwork {
   constructor() {
     super("SsdMobilenetv1");
@@ -23289,7 +23295,7 @@ class SsdMobilenetv1 extends NeuralNetwork {
       throw new Error("SsdMobilenetv1 - load model before inference");
     }
     return tidy(() => {
-      const batchTensor = input.toBatchTensor(512, false).toFloat();
+      const batchTensor = cast(input.toBatchTensor(512, false), "float32");
       const x = sub(mul(batchTensor, scalar(0.007843137718737125)), scalar(1));
       const features = mobileNetV1(x, params.mobilenetv1);
       const {boxPredictions, classPredictions} = predictionLayer(features.out, features.conv11, params.prediction_layer);
@@ -23346,7 +23352,7 @@ class SsdMobilenetv1 extends NeuralNetwork {
   }
 }
 
-// build/ssdMobilenetv1/index.js
+// build/src/ssdMobilenetv1/index.js
 function createSsdMobilenetv1(weights) {
   const net = new SsdMobilenetv1();
   net.extractWeights(weights);
@@ -23358,7 +23364,7 @@ function createFaceDetectionNet(weights) {
 class FaceDetectionNet extends SsdMobilenetv1 {
 }
 
-// build/tinyYolov2/const.js
+// build/src/tinyYolov2/const.js
 const IOU_THRESHOLD = 0.4;
 const BOX_ANCHORS = [
   new Point(0.738768, 0.874946),
@@ -23378,7 +23384,7 @@ const MEAN_RGB_SEPARABLE = [117.001, 114.697, 97.404];
 const DEFAULT_MODEL_NAME = "tiny_yolov2_model";
 const DEFAULT_MODEL_NAME_SEPARABLE_CONV = "tiny_yolov2_separable_conv_model";
 
-// build/tinyYolov2/config.js
+// build/src/tinyYolov2/config.js
 const isNumber2 = (arg) => typeof arg === "number";
 function validateConfig(config2) {
   if (!config2) {
@@ -23401,7 +23407,7 @@ function validateConfig(config2) {
   }
 }
 
-// build/tinyYolov2/leaky.js
+// build/src/tinyYolov2/leaky.js
 function leaky(x) {
   return tidy(() => {
     const min5 = mul(x, scalar(0.10000000149011612));
@@ -23409,7 +23415,7 @@ function leaky(x) {
   });
 }
 
-// build/tinyYolov2/convWithBatchNorm.js
+// build/src/tinyYolov2/convWithBatchNorm.js
 function convWithBatchNorm(x, params) {
   return tidy(() => {
     let out = pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
@@ -23421,7 +23427,7 @@ function convWithBatchNorm(x, params) {
   });
 }
 
-// build/tinyYolov2/depthwiseSeparableConv.js
+// build/src/tinyYolov2/depthwiseSeparableConv.js
 function depthwiseSeparableConv3(x, params) {
   return tidy(() => {
     let out = pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
@@ -23431,7 +23437,7 @@ function depthwiseSeparableConv3(x, params) {
   });
 }
 
-// build/tinyYolov2/extractParams.js
+// build/src/tinyYolov2/extractParams.js
 function extractorsFactory9(extractWeights, paramMappings) {
   const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
   function extractBatchNormParams(size, mappedPrefix) {
@@ -23488,7 +23494,7 @@ function extractParams13(weights, config2, boxEncodingSize, filterSizes) {
   return {params, paramMappings};
 }
 
-// build/tinyYolov2/extractParamsFromWeigthMap.js
+// build/src/tinyYolov2/extractParamsFromWeigthMap.js
 function extractorsFactory10(weightMap, paramMappings) {
   const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
   function extractBatchNormParams(prefix) {
@@ -23547,7 +23553,7 @@ function extractParamsFromWeigthMap13(weightMap, config2) {
   return {params, paramMappings};
 }
 
-// build/tinyYolov2/TinyYolov2Options.js
+// build/src/tinyYolov2/TinyYolov2Options.js
 var TinyYolov2SizeType;
 (function(TinyYolov2SizeType2) {
   TinyYolov2SizeType2[TinyYolov2SizeType2["XS"] = 224] = "XS";
@@ -23575,7 +23581,7 @@ class TinyYolov2Options {
   }
 }
 
-// build/tinyYolov2/TinyYolov2Base.js
+// build/src/tinyYolov2/TinyYolov2Base.js
 class TinyYolov2Base extends NeuralNetwork {
   constructor(config2) {
     super("TinyYolov2");
@@ -23631,7 +23637,7 @@ class TinyYolov2Base extends NeuralNetwork {
       throw new Error("TinyYolov2 - load model before inference");
     }
     return tidy(() => {
-      let batchTensor = input.toBatchTensor(inputSize, false).toFloat();
+      let batchTensor = cast(input.toBatchTensor(inputSize, false), "float32");
       batchTensor = this.config.meanRgb ? normalize(batchTensor, this.config.meanRgb) : batchTensor;
       batchTensor = batchTensor.div(scalar(256));
       return this.config.withSeparableConvs ? this.runMobilenet(batchTensor, params) : this.runTinyYolov2(batchTensor, params);
@@ -23740,7 +23746,7 @@ TinyYolov2Base.DEFAULT_FILTER_SIZES = [
   1024
 ];
 
-// build/tinyYolov2/TinyYolov2.js
+// build/src/tinyYolov2/TinyYolov2.js
 class TinyYolov2 extends TinyYolov2Base {
   constructor(withSeparableConvs = true) {
     const config2 = Object.assign({}, {
@@ -23774,16 +23780,16 @@ class TinyYolov2 extends TinyYolov2Base {
   }
 }
 
-// build/tinyYolov2/types.js
+// build/src/tinyYolov2/types.js
 
-// build/tinyYolov2/index.js
+// build/src/tinyYolov2/index.js
 function createTinyYolov2(weights, withSeparableConvs = true) {
   const net = new TinyYolov2(withSeparableConvs);
   net.extractWeights(weights);
   return net;
 }
 
-// build/tinyFaceDetector/TinyFaceDetectorOptions.js
+// build/src/tinyFaceDetector/TinyFaceDetectorOptions.js
 class TinyFaceDetectorOptions extends TinyYolov2Options {
   constructor() {
     super(...arguments);
@@ -23791,7 +23797,7 @@ class TinyFaceDetectorOptions extends TinyYolov2Options {
   }
 }
 
-// build/globalApi/ComposableTask.js
+// build/src/globalApi/ComposableTask.js
 class ComposableTask {
   async then(onfulfilled) {
     return onfulfilled(await this.run());
@@ -23801,7 +23807,7 @@ class ComposableTask {
   }
 }
 
-// build/globalApi/extractFacesAndComputeResults.js
+// build/src/globalApi/extractFacesAndComputeResults.js
 async function extractAllFacesAndComputeResults(parentResults, input, computeResults, extractedFaces, getRectForAlignment = ({alignedRect}) => alignedRect) {
   const faceBoxes = parentResults.map((parentResult) => isWithFaceLandmarks(parentResult) ? getRectForAlignment(parentResult) : parentResult.detection);
   const faces = extractedFaces || (input instanceof Tensor ? await extractFaceTensors(input, faceBoxes) : await extractFaces(input, faceBoxes));
@@ -23813,7 +23819,7 @@ async function extractSingleFaceAndComputeResult(parentResult, input, computeRes
   return extractAllFacesAndComputeResults([parentResult], input, async (faces) => computeResult(faces[0]), extractedFaces, getRectForAlignment);
 }
 
-// build/tinyFaceDetector/const.js
+// build/src/tinyFaceDetector/const.js
 const IOU_THRESHOLD2 = 0.4;
 const BOX_ANCHORS2 = [
   new Point(1.603231, 2.094468),
@@ -23824,7 +23830,7 @@ const BOX_ANCHORS2 = [
 ];
 const MEAN_RGB = [117.001, 114.697, 97.404];
 
-// build/tinyFaceDetector/TinyFaceDetector.js
+// build/src/tinyFaceDetector/TinyFaceDetector.js
 class TinyFaceDetector extends TinyYolov2Base {
   constructor() {
     const config2 = {
@@ -23853,7 +23859,7 @@ class TinyFaceDetector extends TinyYolov2Base {
   }
 }
 
-// build/globalApi/nets.js
+// build/src/globalApi/nets.js
 const nets = {
   ssdMobilenetv1: new SsdMobilenetv1(),
   tinyFaceDetector: new TinyFaceDetector(),
@@ -23884,7 +23890,7 @@ const loadFaceDetectionModel = loadSsdMobilenetv1Model;
 const locateFaces = ssdMobilenetv1;
 const detectLandmarks = detectFaceLandmarks;
 
-// build/globalApi/PredictFaceExpressionsTask.js
+// build/src/globalApi/PredictFaceExpressionsTask.js
 class PredictFaceExpressionsTaskBase extends ComposableTask {
   constructor(parentTask, input, extractedFaces) {
     super();
@@ -23933,7 +23939,7 @@ class PredictSingleFaceExpressionsWithFaceAlignmentTask extends PredictSingleFac
   }
 }
 
-// build/globalApi/PredictAgeAndGenderTask.js
+// build/src/globalApi/PredictAgeAndGenderTask.js
 class PredictAgeAndGenderTaskBase extends ComposableTask {
   constructor(parentTask, input, extractedFaces) {
     super();
@@ -23985,7 +23991,7 @@ class PredictSingleAgeAndGenderWithFaceAlignmentTask extends PredictSingleAgeAnd
   }
 }
 
-// build/globalApi/ComputeFaceDescriptorsTasks.js
+// build/src/globalApi/ComputeFaceDescriptorsTasks.js
 class ComputeFaceDescriptorsTaskBase extends ComposableTask {
   constructor(parentTask, input) {
     super();
@@ -24023,7 +24029,7 @@ class ComputeSingleFaceDescriptorTask extends ComputeFaceDescriptorsTaskBase {
   }
 }
 
-// build/globalApi/DetectFaceLandmarksTasks.js
+// build/src/globalApi/DetectFaceLandmarksTasks.js
 class DetectFaceLandmarksTaskBase extends ComposableTask {
   constructor(parentTask, input, useTinyLandmarkNet) {
     super();
@@ -24077,7 +24083,7 @@ class DetectSingleFaceLandmarksTask extends DetectFaceLandmarksTaskBase {
   }
 }
 
-// build/globalApi/DetectFacesTasks.js
+// build/src/globalApi/DetectFacesTasks.js
 class DetectFacesTaskBase extends ComposableTask {
   constructor(input, options = new SsdMobilenetv1Options()) {
     super();
@@ -24138,7 +24144,7 @@ class DetectSingleFaceTask extends DetectFacesTaskBase {
   }
 }
 
-// build/globalApi/detectFaces.js
+// build/src/globalApi/detectFaces.js
 function detectSingleFace(input, options = new SsdMobilenetv1Options()) {
   return new DetectSingleFaceTask(input, options);
 }
@@ -24146,7 +24152,7 @@ function detectAllFaces(input, options = new SsdMobilenetv1Options()) {
   return new DetectAllFacesTask(input, options);
 }
 
-// build/globalApi/allFaces.js
+// build/src/globalApi/allFaces.js
 async function allFacesSsdMobilenetv1(input, minConfidence) {
   console.warn("allFacesSsdMobilenetv1 is deprecated and will be removed soon, use the high level api instead");
   return await detectAllFaces(input, new SsdMobilenetv1Options(minConfidence ? {minConfidence} : {})).withFaceLandmarks().withFaceDescriptors();
@@ -24157,7 +24163,7 @@ async function allFacesTinyYolov2(input, forwardParams = {}) {
 }
 const allFaces = allFacesSsdMobilenetv1;
 
-// build/euclideanDistance.js
+// build/src/euclideanDistance.js
 function euclideanDistance(arr1, arr2) {
   if (arr1.length !== arr2.length)
     throw new Error("euclideanDistance: arr1.length !== arr2.length");
@@ -24166,7 +24172,7 @@ function euclideanDistance(arr1, arr2) {
   return Math.sqrt(desc1.map((val, i) => val - desc2[i]).reduce((res, diff) => res + Math.pow(diff, 2), 0));
 }
 
-// build/globalApi/FaceMatcher.js
+// build/src/globalApi/FaceMatcher.js
 class FaceMatcher {
   constructor(inputs, distanceThreshold = 0.6) {
     this._distanceThreshold = distanceThreshold;
@@ -24217,18 +24223,18 @@ class FaceMatcher {
   }
 }
 
-// build/globalApi/types.js
+// build/src/globalApi/types.js
 
-// build/globalApi/index.js
+// build/src/globalApi/index.js
 
-// build/tinyFaceDetector/index.js
+// build/src/tinyFaceDetector/index.js
 function createTinyFaceDetector(weights) {
   const net = new TinyFaceDetector();
   net.extractWeights(weights);
   return net;
 }
 
-// build/resizeResults.js
+// build/src/resizeResults.js
 function resizeResults(results, dimensions) {
   const {width, height} = new Dimensions(dimensions.width, dimensions.height);
   if (width <= 0 || height <= 0) {
@@ -24251,8 +24257,11 @@ function resizeResults(results, dimensions) {
   return results;
 }
 
-// build/index.js
-const test = "test";
+// build/package.json
+var version2 = "0.4.5";
+
+// build/src/index.js
+const version3 = {faceapi: version2, tfjs_core: version, env: ENV.getFlags()};
 export {
   AgeGenderNet,
   BoundingBox,
@@ -24368,12 +24377,12 @@ export {
   shuffleArray,
   sigmoid6 as sigmoid,
   ssdMobilenetv1,
-  test,
   dist_exports as tf,
   tinyFaceDetector,
   tinyYolov23 as tinyYolov2,
   toNetInput,
   utils_exports as utils,
-  validateConfig
+  validateConfig,
+  version3 as version
 };
 //# sourceMappingURL=face-api.ejs.map
diff --git a/dist/face-api.ejs.map b/dist/face-api.ejs.map
index 846f6a0..997df97 100644
--- a/dist/face-api.ejs.map
+++ b/dist/face-api.ejs.map
@@ -1,7 +1,7 @@
 {
   "version": 3,
-  "sources": ["node_modules/seedrandom/lib/alea.js", "node_modules/seedrandom/lib/xor128.js", "node_modules/seedrandom/lib/xorwow.js", "node_modules/seedrandom/lib/xorshift7.js", "node_modules/seedrandom/lib/xor4096.js", "node_modules/seedrandom/lib/tychei.js", "disabled:crypto", "node_modules/seedrandom/seedrandom.js", "node_modules/seedrandom/index.js", "build/env/../../src/env/isNodejs.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/environment.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/global_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/kernel_names.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/kernel_registry.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/profiler.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tape.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_format.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/types.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/engine.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/device_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/flags.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_util_env.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/operation.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/abs.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/acos.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/acosh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/add.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/add_n.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/axis_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reshape.ts", 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"build/src/globalApi/../../../src/globalApi/ComposableTask.ts", "build/src/globalApi/../../../src/globalApi/extractFacesAndComputeResults.ts", "build/src/tinyFaceDetector/../../../src/tinyFaceDetector/const.ts", "build/src/tinyFaceDetector/../../../src/tinyFaceDetector/TinyFaceDetector.ts", "build/src/globalApi/../../../src/globalApi/nets.ts", "build/src/globalApi/../../../src/globalApi/PredictFaceExpressionsTask.ts", "build/src/globalApi/../../../src/globalApi/PredictAgeAndGenderTask.ts", "build/src/globalApi/../../../src/globalApi/ComputeFaceDescriptorsTasks.ts", "build/src/globalApi/../../../src/globalApi/DetectFaceLandmarksTasks.ts", "build/src/globalApi/../../../src/globalApi/DetectFacesTasks.ts", "build/src/globalApi/../../../src/globalApi/detectFaces.ts", "build/src/globalApi/../../../src/globalApi/allFaces.ts", "build/src/../../src/euclideanDistance.ts", "build/src/globalApi/../../../src/globalApi/FaceMatcher.ts", "build/src/tinyFaceDetector/../../../src/tinyFaceDetector/index.ts", "build/src/../../src/resizeResults.ts", "build/src/../../src/index.ts"],
   "sourcesContent": ["// A port of an algorithm by Johannes Baag\u00F8e <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null],
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   "names": []
 }
diff --git a/dist/face-api.js b/dist/face-api.js
index 88add44..12818bf 100644
--- a/dist/face-api.js
+++ b/dist/face-api.js
@@ -672,7 +672,7 @@ var faceapi = (() => {
     module.exports = sr;
   });
 
-  // build/env/isNodejs.js
+  // build/src/env/isNodejs.js
   var require_isNodejs = __commonJS((exports, module) => {
     __export(exports, {
       isNodejs: () => isNodejs3
@@ -682,8 +682,8 @@ var faceapi = (() => {
     }
   });
 
-  // build/index.js
-  var require_build = __commonJS((exports) => {
+  // build/src/index.js
+  var require_src = __commonJS((exports) => {
     __export(exports, {
       AgeGenderNet: () => AgeGenderNet,
       BoundingBox: () => BoundingBox,
@@ -799,15 +799,15 @@ var faceapi = (() => {
       shuffleArray: () => shuffleArray,
       sigmoid: () => sigmoid6,
       ssdMobilenetv1: () => ssdMobilenetv1,
-      test: () => test,
       tf: () => dist_exports,
       tinyFaceDetector: () => tinyFaceDetector,
       tinyYolov2: () => tinyYolov23,
       toNetInput: () => toNetInput,
       utils: () => utils_exports,
-      validateConfig: () => validateConfig
+      validateConfig: () => validateConfig,
+      version: () => version3
     });
-    const test = "test";
+    const version3 = {faceapi: version2, tfjs_core: version, env: ENV.getFlags()};
   });
 
   // node_modules/@tensorflow/tfjs-core/dist/environment.js
@@ -20252,7 +20252,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
    * =============================================================================
    */
 
-  // build/draw/drawContour.js
+  // build/src/draw/drawContour.js
   function drawContour(ctx, points, isClosed = false) {
     ctx.beginPath();
     points.slice(1).forEach(({x, y}, prevIdx) => {
@@ -20272,7 +20272,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     ctx.stroke();
   }
 
-  // build/classes/Dimensions.js
+  // build/src/classes/Dimensions.js
   class Dimensions {
     constructor(width, height) {
       if (!isValidNumber(width) || !isValidNumber(height)) {
@@ -20292,7 +20292,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/utils/index.js
+  // build/src/utils/index.js
   const utils_exports = {};
   __export(utils_exports, {
     computeReshapedDimensions: () => computeReshapedDimensions,
@@ -20355,7 +20355,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return isValidNumber(num) && 0 <= num && num <= 1;
   }
 
-  // build/classes/Point.js
+  // build/src/classes/Point.js
   class Point {
     constructor(x, y) {
       this._x = x;
@@ -20390,7 +20390,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/classes/Box.js
+  // build/src/classes/Box.js
   class Box {
     constructor(_box, allowNegativeDimensions = true) {
       const box = _box || {};
@@ -20551,14 +20551,14 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/classes/BoundingBox.js
+  // build/src/classes/BoundingBox.js
   class BoundingBox extends Box {
     constructor(left, top, right, bottom, allowNegativeDimensions = false) {
       super({left, top, right, bottom}, allowNegativeDimensions);
     }
   }
 
-  // build/classes/ObjectDetection.js
+  // build/src/classes/ObjectDetection.js
   class ObjectDetection {
     constructor(score, classScore, className, relativeBox, imageDims) {
       this._imageDims = new Dimensions(imageDims.width, imageDims.height);
@@ -20596,7 +20596,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/classes/FaceDetection.js
+  // build/src/classes/FaceDetection.js
   class FaceDetection extends ObjectDetection {
     constructor(score, relativeBox, imageDims) {
       super(score, score, "", relativeBox, imageDims);
@@ -20607,7 +20607,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/ops/iou.js
+  // build/src/ops/iou.js
   function iou(box1, box2, isIOU = true) {
     const width = Math.max(0, Math.min(box1.right, box2.right) - Math.max(box1.left, box2.left));
     const height = Math.max(0, Math.min(box1.bottom, box2.bottom) - Math.max(box1.top, box2.top));
@@ -20615,7 +20615,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return isIOU ? interSection / (box1.area + box2.area - interSection) : interSection / Math.min(box1.area, box2.area);
   }
 
-  // build/ops/minBbox.js
+  // build/src/ops/minBbox.js
   function minBbox(pts) {
     const xs = pts.map((pt) => pt.x);
     const ys = pts.map((pt) => pt.y);
@@ -20626,7 +20626,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return new BoundingBox(minX, minY, maxX, maxY);
   }
 
-  // build/ops/nonMaxSuppression.js
+  // build/src/ops/nonMaxSuppression.js
   function nonMaxSuppression2(boxes, scores, iouThreshold, isIOU = true) {
     let indicesSortedByScore = scores.map((score, boxIndex) => ({score, boxIndex})).sort((c1, c2) => c1.score - c2.score).map((c) => c.boxIndex);
     const pick = [];
@@ -20646,7 +20646,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return pick;
   }
 
-  // build/ops/normalize.js
+  // build/src/ops/normalize.js
   function normalize(x, meanRgb) {
     return tidy(() => {
       const [r, g, b] = meanRgb;
@@ -20658,7 +20658,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/ops/padToSquare.js
+  // build/src/ops/padToSquare.js
   function padToSquare(imgTensor, isCenterImage = false) {
     return tidy(() => {
       const [height, width] = imgTensor.shape.slice(1);
@@ -20680,12 +20680,12 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
         paddingTensorPrepend,
         imgTensor,
         paddingTensorAppend
-      ].filter((t) => !!t).map((t) => t.toFloat());
+      ].filter((t) => !!t).map((t) => cast(t, "float32"));
       return concat(tensorsToStack, paddingAxis);
     });
   }
 
-  // build/ops/shuffleArray.js
+  // build/src/ops/shuffleArray.js
   function shuffleArray(inputArray) {
     const array = inputArray.slice();
     for (let i = array.length - 1; i > 0; i--) {
@@ -20697,7 +20697,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return array;
   }
 
-  // build/ops/index.js
+  // build/src/ops/index.js
   function sigmoid6(x) {
     return 1 / (1 + Math.exp(-x));
   }
@@ -20705,14 +20705,14 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return Math.log(x / (1 - x));
   }
 
-  // build/classes/Rect.js
+  // build/src/classes/Rect.js
   class Rect extends Box {
     constructor(x, y, width, height, allowNegativeDimensions = false) {
       super({x, y, width, height}, allowNegativeDimensions);
     }
   }
 
-  // build/classes/FaceLandmarks.js
+  // build/src/classes/FaceLandmarks.js
   const relX = 0.5;
   const relY = 0.43;
   const relScale = 0.45;
@@ -20778,7 +20778,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/classes/FaceLandmarks5.js
+  // build/src/classes/FaceLandmarks5.js
   class FaceLandmarks5 extends FaceLandmarks {
     getRefPointsForAlignment() {
       const pts = this.positions;
@@ -20790,7 +20790,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/classes/FaceLandmarks68.js
+  // build/src/classes/FaceLandmarks68.js
   class FaceLandmarks68 extends FaceLandmarks {
     getJawOutline() {
       return this.positions.slice(0, 17);
@@ -20822,7 +20822,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/classes/FaceMatch.js
+  // build/src/classes/FaceMatch.js
   class FaceMatch {
     constructor(label, distance) {
       this._label = label;
@@ -20839,7 +20839,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/classes/LabeledBox.js
+  // build/src/classes/LabeledBox.js
   class LabeledBox extends Box {
     constructor(box, label) {
       super(box);
@@ -20856,7 +20856,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/classes/LabeledFaceDescriptors.js
+  // build/src/classes/LabeledFaceDescriptors.js
   class LabeledFaceDescriptors {
     constructor(label, descriptors) {
       if (!(typeof label === "string")) {
@@ -20888,7 +20888,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/classes/PredictedBox.js
+  // build/src/classes/PredictedBox.js
   class PredictedBox extends LabeledBox {
     constructor(box, label, score, classScore) {
       super(box, label);
@@ -20909,9 +20909,9 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/classes/index.js
+  // build/src/classes/index.js
 
-  // build/factories/WithFaceDetection.js
+  // build/src/factories/WithFaceDetection.js
   function isWithFaceDetection(obj) {
     return obj["detection"] instanceof FaceDetection;
   }
@@ -20920,7 +20920,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return Object.assign({}, sourceObj, extension);
   }
 
-  // build/env/createBrowserEnv.js
+  // build/src/env/createBrowserEnv.js
   function createBrowserEnv() {
     const fetch3 = window["fetch"] || function() {
       throw new Error("fetch - missing fetch implementation for browser environment");
@@ -20941,7 +20941,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/env/createFileSystem.js
+  // build/src/env/createFileSystem.js
   function createFileSystem(fs) {
     let requireFsError = "";
     if (!fs) {
@@ -20965,7 +20965,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/env/createNodejsEnv.js
+  // build/src/env/createNodejsEnv.js
   function createNodejsEnv() {
     const Canvas = global["Canvas"] || global["HTMLCanvasElement"];
     const Image = global["Image"] || global["HTMLImageElement"];
@@ -21002,14 +21002,14 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }, fileSystem);
   }
 
-  // build/env/isBrowser.js
+  // build/src/env/isBrowser.js
   function isBrowser2() {
     return typeof window === "object" && typeof document !== "undefined" && typeof HTMLImageElement !== "undefined" && typeof HTMLCanvasElement !== "undefined" && typeof HTMLVideoElement !== "undefined" && typeof ImageData !== "undefined" && typeof CanvasRenderingContext2D !== "undefined";
   }
 
-  // build/env/types.js
+  // build/src/env/types.js
 
-  // build/env/index.js
+  // build/src/env/index.js
   const isNodejs = __toModule(require_isNodejs());
   let environment11;
   function getEnv() {
@@ -21059,7 +21059,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
   };
   initialize();
 
-  // build/dom/resolveInput.js
+  // build/src/dom/resolveInput.js
   function resolveInput(arg) {
     if (!env2.isNodejs() && typeof arg === "string") {
       return document.getElementById(arg);
@@ -21067,7 +21067,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return arg;
   }
 
-  // build/dom/getContext2dOrThrow.js
+  // build/src/dom/getContext2dOrThrow.js
   function getContext2dOrThrow(canvasArg) {
     const {Canvas, CanvasRenderingContext2D: CanvasRenderingContext2D2} = env2.getEnv();
     if (canvasArg instanceof CanvasRenderingContext2D2) {
@@ -21084,7 +21084,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return ctx;
   }
 
-  // build/draw/DrawTextField.js
+  // build/src/draw/DrawTextField.js
   var AnchorPosition;
   (function(AnchorPosition2) {
     AnchorPosition2["TOP_LEFT"] = "TOP_LEFT";
@@ -21152,7 +21152,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/draw/DrawBox.js
+  // build/src/draw/DrawBox.js
   class DrawBoxOptions {
     constructor(options = {}) {
       const {boxColor, lineWidth, label, drawLabelOptions} = options;
@@ -21185,7 +21185,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/draw/drawDetections.js
+  // build/src/draw/drawDetections.js
   function drawDetections(canvasArg, detections) {
     const detectionsArray = Array.isArray(detections) ? detections : [detections];
     detectionsArray.forEach((det) => {
@@ -21196,13 +21196,13 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/dom/isMediaLoaded.js
+  // build/src/dom/isMediaLoaded.js
   function isMediaLoaded(media) {
     const {Image, Video} = env2.getEnv();
     return media instanceof Image && media.complete || media instanceof Video && media.readyState >= 3;
   }
 
-  // build/dom/awaitMediaLoaded.js
+  // build/src/dom/awaitMediaLoaded.js
   function awaitMediaLoaded(media) {
     return new Promise((resolve, reject) => {
       if (media instanceof env2.getEnv().Canvas || isMediaLoaded(media)) {
@@ -21227,7 +21227,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/dom/bufferToImage.js
+  // build/src/dom/bufferToImage.js
   function bufferToImage(buf) {
     return new Promise((resolve, reject) => {
       if (!(buf instanceof Blob)) {
@@ -21248,7 +21248,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/dom/getMediaDimensions.js
+  // build/src/dom/getMediaDimensions.js
   function getMediaDimensions(input) {
     const {Image, Video} = env2.getEnv();
     if (input instanceof Image) {
@@ -21260,7 +21260,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return new Dimensions(input.width, input.height);
   }
 
-  // build/dom/createCanvas.js
+  // build/src/dom/createCanvas.js
   function createCanvas({width, height}) {
     const {createCanvasElement} = env2.getEnv();
     const canvas = createCanvasElement();
@@ -21283,7 +21283,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return canvas;
   }
 
-  // build/dom/imageTensorToCanvas.js
+  // build/src/dom/imageTensorToCanvas.js
   async function imageTensorToCanvas(imgTensor, canvas) {
     const targetCanvas = canvas || env2.getEnv().createCanvasElement();
     const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0);
@@ -21293,13 +21293,13 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return targetCanvas;
   }
 
-  // build/dom/isMediaElement.js
+  // build/src/dom/isMediaElement.js
   function isMediaElement(input) {
     const {Image, Canvas, Video} = env2.getEnv();
     return input instanceof Image || input instanceof Canvas || input instanceof Video;
   }
 
-  // build/dom/imageToSquare.js
+  // build/src/dom/imageToSquare.js
   function imageToSquare(input, inputSize, centerImage = false) {
     const {Image, Canvas} = env2.getEnv();
     if (!(input instanceof Image || input instanceof Canvas)) {
@@ -21318,7 +21318,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return targetCanvas;
   }
 
-  // build/dom/NetInput.js
+  // build/src/dom/NetInput.js
   class NetInput {
     constructor(inputs, treatAsBatchInput = false) {
       this._imageTensors = [];
@@ -21409,13 +21409,13 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
           }
           throw new Error(`toBatchTensor - at batchIdx ${batchIdx}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${input}`);
         });
-        const batchTensor = stack(inputTensors.map((t) => t.toFloat())).as4D(this.batchSize, inputSize, inputSize, 3);
+        const batchTensor = stack(inputTensors.map((t) => cast(t, "float32"))).as4D(this.batchSize, inputSize, inputSize, 3);
         return batchTensor;
       });
     }
   }
 
-  // build/dom/toNetInput.js
+  // build/src/dom/toNetInput.js
   async function toNetInput(inputs) {
     if (inputs instanceof NetInput) {
       return inputs;
@@ -21444,7 +21444,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return new NetInput(inputArray, Array.isArray(inputs));
   }
 
-  // build/dom/extractFaces.js
+  // build/src/dom/extractFaces.js
   async function extractFaces(input, detections) {
     const {Canvas} = env2.getEnv();
     let canvas = input;
@@ -21465,7 +21465,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/dom/extractFaceTensors.js
+  // build/src/dom/extractFaceTensors.js
   async function extractFaceTensors(imageTensor, detections) {
     if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {
       throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");
@@ -21481,7 +21481,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/dom/fetchOrThrow.js
+  // build/src/dom/fetchOrThrow.js
   async function fetchOrThrow(url, init) {
     const fetch3 = env2.getEnv().fetch;
     const res = await fetch3(url, init);
@@ -21491,7 +21491,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return res;
   }
 
-  // build/dom/fetchImage.js
+  // build/src/dom/fetchImage.js
   async function fetchImage(uri) {
     const res = await fetchOrThrow(uri);
     const blob = await res.blob();
@@ -21501,17 +21501,17 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return bufferToImage(blob);
   }
 
-  // build/dom/fetchJson.js
+  // build/src/dom/fetchJson.js
   async function fetchJson(uri) {
     return (await fetchOrThrow(uri)).json();
   }
 
-  // build/dom/fetchNetWeights.js
+  // build/src/dom/fetchNetWeights.js
   async function fetchNetWeights(uri) {
     return new Float32Array(await (await fetchOrThrow(uri)).arrayBuffer());
   }
 
-  // build/common/getModelUris.js
+  // build/src/common/getModelUris.js
   function getModelUris(uri, defaultModelName) {
     const defaultManifestFilename = `${defaultModelName}-weights_manifest.json`;
     if (!uri) {
@@ -21538,14 +21538,14 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/dom/loadWeightMap.js
+  // build/src/dom/loadWeightMap.js
   async function loadWeightMap(uri, defaultModelName) {
     const {manifestUri, modelBaseUri} = getModelUris(uri, defaultModelName);
     let manifest = await fetchJson(manifestUri);
     return io_exports.loadWeights(manifest, modelBaseUri);
   }
 
-  // build/dom/matchDimensions.js
+  // build/src/dom/matchDimensions.js
   function matchDimensions(input, reference, useMediaDimensions = false) {
     const {width, height} = useMediaDimensions ? getMediaDimensions(reference) : reference;
     input.width = width;
@@ -21553,16 +21553,22 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {width, height};
   }
 
-  // build/dom/types.js
+  // build/src/dom/types.js
 
-  // build/dom/index.js
+  // build/src/dom/index.js
 
-  // build/NeuralNetwork.js
+  // build/src/NeuralNetwork.js
   class NeuralNetwork {
     constructor(_name) {
       this._name = _name;
       this._params = void 0;
       this._paramMappings = [];
+      try {
+        const testTensor = tensor5([0]);
+        testTensor.toFloat();
+      } catch (err) {
+        throw new Error(`module not loaded: load '@tensorflow/tfjs' or '@tensorflow/tfjs-core' with appropriate backend explicitly: ${err}`);
+      }
     }
     get params() {
       return this._params;
@@ -21672,7 +21678,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/common/depthwiseSeparableConv.js
+  // build/src/common/depthwiseSeparableConv.js
   function depthwiseSeparableConv(x, params, stride) {
     return tidy(() => {
       let out = separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, "same");
@@ -21681,7 +21687,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/faceFeatureExtractor/denseBlock.js
+  // build/src/faceFeatureExtractor/denseBlock.js
   function denseBlock3(x, denseBlockParams, isFirstLayer = false) {
     return tidy(() => {
       const out1 = relu(isFirstLayer ? add2(conv2d(x, denseBlockParams.conv0.filters, [2, 2], "same"), denseBlockParams.conv0.bias) : depthwiseSeparableConv(x, denseBlockParams.conv0, [2, 2]));
@@ -21703,7 +21709,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/common/convLayer.js
+  // build/src/common/convLayer.js
   function convLayer(x, params, padding = "same", withRelu = false) {
     return tidy(() => {
       const out = add2(conv2d(x, params.filters, [1, 1], padding), params.bias);
@@ -21711,7 +21717,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/common/disposeUnusedWeightTensors.js
+  // build/src/common/disposeUnusedWeightTensors.js
   function disposeUnusedWeightTensors(weightMap, paramMappings) {
     Object.keys(weightMap).forEach((path) => {
       if (!paramMappings.some((pm) => pm.originalPath === path)) {
@@ -21720,7 +21726,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/common/extractConvParamsFactory.js
+  // build/src/common/extractConvParamsFactory.js
   function extractConvParamsFactory(extractWeights, paramMappings) {
     return function(channelsIn, channelsOut, filterSize, mappedPrefix) {
       const filters = tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
@@ -21730,7 +21736,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/common/extractFCParamsFactory.js
+  // build/src/common/extractFCParamsFactory.js
   function extractFCParamsFactory(extractWeights, paramMappings) {
     return function(channelsIn, channelsOut, mappedPrefix) {
       const fc_weights = tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);
@@ -21743,7 +21749,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/common/types.js
+  // build/src/common/types.js
   class SeparableConvParams {
     constructor(depthwise_filter, pointwise_filter, bias) {
       this.depthwise_filter = depthwise_filter;
@@ -21752,7 +21758,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/common/extractSeparableConvParamsFactory.js
+  // build/src/common/extractSeparableConvParamsFactory.js
   function extractSeparableConvParamsFactory(extractWeights, paramMappings) {
     return function(channelsIn, channelsOut, mappedPrefix) {
       const depthwise_filter = tensor4d(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);
@@ -21771,7 +21777,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/common/extractWeightEntryFactory.js
+  // build/src/common/extractWeightEntryFactory.js
   function extractWeightEntryFactory(weightMap, paramMappings) {
     return function(originalPath, paramRank, mappedPath) {
       const tensor17 = weightMap[originalPath];
@@ -21783,7 +21789,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/common/extractWeightsFactory.js
+  // build/src/common/extractWeightsFactory.js
   function extractWeightsFactory(weights) {
     let remainingWeights = weights;
     function extractWeights(numWeights) {
@@ -21800,9 +21806,9 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/common/index.js
+  // build/src/common/index.js
 
-  // build/faceFeatureExtractor/extractorsFactory.js
+  // build/src/faceFeatureExtractor/extractorsFactory.js
   function extractorsFactory(extractWeights, paramMappings) {
     const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
     const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);
@@ -21823,7 +21829,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/faceFeatureExtractor/extractParams.js
+  // build/src/faceFeatureExtractor/extractParams.js
   function extractParams(weights) {
     const paramMappings = [];
     const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -21841,7 +21847,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/common/loadConvParamsFactory.js
+  // build/src/common/loadConvParamsFactory.js
   function loadConvParamsFactory(extractWeightEntry) {
     return function(prefix) {
       const filters = extractWeightEntry(`${prefix}/filters`, 4);
@@ -21850,7 +21856,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/faceFeatureExtractor/loadParamsFactory.js
+  // build/src/faceFeatureExtractor/loadParamsFactory.js
   function loadParamsFactory(weightMap, paramMappings) {
     const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
     const extractConvParams = loadConvParamsFactory(extractWeightEntry);
@@ -21874,7 +21880,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/faceFeatureExtractor/extractParamsFromWeigthMap.js
+  // build/src/faceFeatureExtractor/extractParamsFromWeigthMap.js
   function extractParamsFromWeigthMap(weightMap) {
     const paramMappings = [];
     const {extractDenseBlock4Params} = loadParamsFactory(weightMap, paramMappings);
@@ -21888,7 +21894,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {params, paramMappings};
   }
 
-  // build/faceFeatureExtractor/FaceFeatureExtractor.js
+  // build/src/faceFeatureExtractor/FaceFeatureExtractor.js
   class FaceFeatureExtractor extends NeuralNetwork {
     constructor() {
       super("FaceFeatureExtractor");
@@ -21924,12 +21930,12 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/common/fullyConnectedLayer.js
+  // build/src/common/fullyConnectedLayer.js
   function fullyConnectedLayer(x, params) {
     return tidy(() => add2(matMul(x, params.weights), params.bias));
   }
 
-  // build/faceProcessor/extractParams.js
+  // build/src/faceProcessor/extractParams.js
   function extractParams3(weights, channelsIn, channelsOut) {
     const paramMappings = [];
     const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -21944,7 +21950,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/faceProcessor/extractParamsFromWeigthMap.js
+  // build/src/faceProcessor/extractParamsFromWeigthMap.js
   function extractParamsFromWeigthMap3(weightMap) {
     const paramMappings = [];
     const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
@@ -21960,7 +21966,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {params, paramMappings};
   }
 
-  // build/faceProcessor/util.js
+  // build/src/faceProcessor/util.js
   function seperateWeightMaps(weightMap) {
     const featureExtractorMap = {};
     const classifierMap = {};
@@ -21971,7 +21977,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {featureExtractorMap, classifierMap};
   }
 
-  // build/faceProcessor/FaceProcessor.js
+  // build/src/faceProcessor/FaceProcessor.js
   class FaceProcessor extends NeuralNetwork {
     constructor(_name, faceFeatureExtractor) {
       super(_name);
@@ -22018,7 +22024,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/faceExpressionNet/FaceExpressions.js
+  // build/src/faceExpressionNet/FaceExpressions.js
   const FACE_EXPRESSION_LABELS = ["neutral", "happy", "sad", "angry", "fearful", "disgusted", "surprised"];
   class FaceExpressions {
     constructor(probabilities) {
@@ -22034,7 +22040,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/faceExpressionNet/FaceExpressionNet.js
+  // build/src/faceExpressionNet/FaceExpressionNet.js
   class FaceExpressionNet extends FaceProcessor {
     constructor(faceFeatureExtractor = new FaceFeatureExtractor()) {
       super("FaceExpressionNet", faceFeatureExtractor);
@@ -22068,9 +22074,9 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/faceExpressionNet/index.js
+  // build/src/faceExpressionNet/index.js
 
-  // build/factories/WithFaceExpressions.js
+  // build/src/factories/WithFaceExpressions.js
   function isWithFaceExpressions(obj) {
     return obj["expressions"] instanceof FaceExpressions;
   }
@@ -22079,7 +22085,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return Object.assign({}, sourceObj, extension);
   }
 
-  // build/draw/drawFaceExpressions.js
+  // build/src/draw/drawFaceExpressions.js
   function drawFaceExpressions(canvasArg, faceExpressions, minConfidence = 0.1, textFieldAnchor) {
     const faceExpressionsArray = Array.isArray(faceExpressions) ? faceExpressions : [faceExpressions];
     faceExpressionsArray.forEach((e) => {
@@ -22095,7 +22101,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/factories/WithFaceLandmarks.js
+  // build/src/factories/WithFaceLandmarks.js
   function isWithFaceLandmarks(obj) {
     return isWithFaceDetection(obj) && obj["landmarks"] instanceof FaceLandmarks && obj["unshiftedLandmarks"] instanceof FaceLandmarks && obj["alignedRect"] instanceof FaceDetection;
   }
@@ -22113,7 +22119,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return Object.assign({}, sourceObj, extension);
   }
 
-  // build/draw/DrawFaceLandmarks.js
+  // build/src/draw/DrawFaceLandmarks.js
   class DrawFaceLandmarksOptions {
     constructor(options = {}) {
       const {drawLines = true, drawPoints = true, lineWidth, lineColor, pointSize, pointColor} = options;
@@ -22167,7 +22173,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/draw/index.js
+  // build/src/draw/index.js
   const draw_exports = {};
   __export(draw_exports, {
     AnchorPosition: () => AnchorPosition,
@@ -22183,7 +22189,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     drawFaceLandmarks: () => drawFaceLandmarks
   });
 
-  // build/xception/extractParams.js
+  // build/src/xception/extractParams.js
   function extractorsFactory3(extractWeights, paramMappings) {
     const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
     const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);
@@ -22237,7 +22243,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/xception/extractParamsFromWeigthMap.js
+  // build/src/xception/extractParamsFromWeigthMap.js
   function loadParamsFactory3(weightMap, paramMappings) {
     const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
     const extractConvParams = loadConvParamsFactory(extractWeightEntry);
@@ -22286,7 +22292,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {params: {entry_flow, middle_flow, exit_flow}, paramMappings};
   }
 
-  // build/xception/TinyXception.js
+  // build/src/xception/TinyXception.js
   function conv(x, params, stride) {
     return add2(conv2d(x, params.filters, stride, "same"), params.bias);
   }
@@ -22344,7 +22350,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/ageGenderNet/extractParams.js
+  // build/src/ageGenderNet/extractParams.js
   function extractParams7(weights) {
     const paramMappings = [];
     const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -22360,7 +22366,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/ageGenderNet/extractParamsFromWeigthMap.js
+  // build/src/ageGenderNet/extractParamsFromWeigthMap.js
   function extractParamsFromWeigthMap7(weightMap) {
     const paramMappings = [];
     const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
@@ -22379,14 +22385,14 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {params, paramMappings};
   }
 
-  // build/ageGenderNet/types.js
+  // build/src/ageGenderNet/types.js
   var Gender;
   (function(Gender2) {
     Gender2["FEMALE"] = "female";
     Gender2["MALE"] = "male";
   })(Gender || (Gender = {}));
 
-  // build/ageGenderNet/AgeGenderNet.js
+  // build/src/ageGenderNet/AgeGenderNet.js
   class AgeGenderNet extends NeuralNetwork {
     constructor(faceFeatureExtractor = new TinyXception(2)) {
       super("AgeGenderNet");
@@ -22469,9 +22475,9 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/ageGenderNet/index.js
+  // build/src/ageGenderNet/index.js
 
-  // build/faceLandmarkNet/FaceLandmark68NetBase.js
+  // build/src/faceLandmarkNet/FaceLandmark68NetBase.js
   class FaceLandmark68NetBase extends FaceProcessor {
     postProcess(output, inputSize, originalDimensions) {
       const inputDimensions = originalDimensions.map(({width, height}) => {
@@ -22526,7 +22532,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/faceLandmarkNet/FaceLandmark68Net.js
+  // build/src/faceLandmarkNet/FaceLandmark68Net.js
   class FaceLandmark68Net extends FaceLandmark68NetBase {
     constructor(faceFeatureExtractor = new FaceFeatureExtractor()) {
       super("FaceLandmark68Net", faceFeatureExtractor);
@@ -22539,7 +22545,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
+  // build/src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
   function extractParamsFromWeigthMapTiny(weightMap) {
     const paramMappings = [];
     const {extractDenseBlock3Params} = loadParamsFactory(weightMap, paramMappings);
@@ -22552,7 +22558,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {params, paramMappings};
   }
 
-  // build/faceFeatureExtractor/extractParamsTiny.js
+  // build/src/faceFeatureExtractor/extractParamsTiny.js
   function extractParamsTiny(weights) {
     const paramMappings = [];
     const {extractWeights, getRemainingWeights} = extractWeightsFactory(weights);
@@ -22569,7 +22575,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/faceFeatureExtractor/TinyFaceFeatureExtractor.js
+  // build/src/faceFeatureExtractor/TinyFaceFeatureExtractor.js
   class TinyFaceFeatureExtractor extends NeuralNetwork {
     constructor() {
       super("TinyFaceFeatureExtractor");
@@ -22604,7 +22610,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/faceLandmarkNet/FaceLandmark68TinyNet.js
+  // build/src/faceLandmarkNet/FaceLandmark68TinyNet.js
   class FaceLandmark68TinyNet extends FaceLandmark68NetBase {
     constructor(faceFeatureExtractor = new TinyFaceFeatureExtractor()) {
       super("FaceLandmark68TinyNet", faceFeatureExtractor);
@@ -22617,16 +22623,16 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/faceLandmarkNet/index.js
+  // build/src/faceLandmarkNet/index.js
   class FaceLandmarkNet extends FaceLandmark68Net {
   }
 
-  // build/faceRecognitionNet/scaleLayer.js
+  // build/src/faceRecognitionNet/scaleLayer.js
   function scale(x, params) {
     return add2(mul(x, params.weights), params.biases);
   }
 
-  // build/faceRecognitionNet/convLayer.js
+  // build/src/faceRecognitionNet/convLayer.js
   function convLayer2(x, params, strides, withRelu, padding = "same") {
     const {filters, bias} = params.conv;
     let out = conv2d(x, filters, strides, padding);
@@ -22644,7 +22650,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return convLayer2(x, params, [2, 2], true, "valid");
   }
 
-  // build/faceRecognitionNet/extractParams.js
+  // build/src/faceRecognitionNet/extractParams.js
   function extractorsFactory5(extractWeights, paramMappings) {
     function extractFilterValues(numFilterValues, numFilters, filterSize) {
       const weights = extractWeights(numFilterValues);
@@ -22729,7 +22735,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {params, paramMappings};
   }
 
-  // build/faceRecognitionNet/extractParamsFromWeigthMap.js
+  // build/src/faceRecognitionNet/extractParamsFromWeigthMap.js
   function extractorsFactory6(weightMap, paramMappings) {
     const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
     function extractScaleLayerParams(prefix) {
@@ -22799,7 +22805,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {params, paramMappings};
   }
 
-  // build/faceRecognitionNet/residualLayer.js
+  // build/src/faceRecognitionNet/residualLayer.js
   function residual(x, params) {
     let out = conv2(x, params.conv1);
     out = convNoRelu(out, params.conv2);
@@ -22830,7 +22836,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return out;
   }
 
-  // build/faceRecognitionNet/FaceRecognitionNet.js
+  // build/src/faceRecognitionNet/FaceRecognitionNet.js
   class FaceRecognitionNet extends NeuralNetwork {
     constructor() {
       super("FaceRecognitionNet");
@@ -22841,7 +22847,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
         throw new Error("FaceRecognitionNet - load model before inference");
       }
       return tidy(() => {
-        const batchTensor = input.toBatchTensor(150, true).toFloat();
+        const batchTensor = cast(input.toBatchTensor(150, true), "float32");
         const meanRgb = [122.782, 117.001, 104.298];
         const normalized = normalize(batchTensor, meanRgb).div(scalar(256));
         let out = convDown(normalized, params.conv32_down);
@@ -22886,20 +22892,20 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/faceRecognitionNet/index.js
+  // build/src/faceRecognitionNet/index.js
   function createFaceRecognitionNet(weights) {
     const net = new FaceRecognitionNet();
     net.extractWeights(weights);
     return net;
   }
 
-  // build/factories/WithFaceDescriptor.js
+  // build/src/factories/WithFaceDescriptor.js
   function extendWithFaceDescriptor(sourceObj, descriptor) {
     const extension = {descriptor};
     return Object.assign({}, sourceObj, extension);
   }
 
-  // build/factories/WithAge.js
+  // build/src/factories/WithAge.js
   function isWithAge(obj) {
     return typeof obj["age"] === "number";
   }
@@ -22908,7 +22914,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return Object.assign({}, sourceObj, extension);
   }
 
-  // build/factories/WithGender.js
+  // build/src/factories/WithGender.js
   function isWithGender(obj) {
     return (obj["gender"] === Gender.MALE || obj["gender"] === Gender.FEMALE) && isValidProbablitiy(obj["genderProbability"]);
   }
@@ -22917,9 +22923,9 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return Object.assign({}, sourceObj, extension);
   }
 
-  // build/factories/index.js
+  // build/src/factories/index.js
 
-  // build/ssdMobilenetv1/extractParams.js
+  // build/src/ssdMobilenetv1/extractParams.js
   function extractorsFactory7(extractWeights, paramMappings) {
     function extractDepthwiseConvParams(numChannels, mappedPrefix) {
       const filters = tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);
@@ -23077,7 +23083,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     };
   }
 
-  // build/ssdMobilenetv1/extractParamsFromWeigthMap.js
+  // build/src/ssdMobilenetv1/extractParamsFromWeigthMap.js
   function extractorsFactory8(weightMap, paramMappings) {
     const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
     function extractPointwiseConvParams(prefix, idx, mappedPrefix) {
@@ -23176,7 +23182,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {params, paramMappings};
   }
 
-  // build/ssdMobilenetv1/pointwiseConvLayer.js
+  // build/src/ssdMobilenetv1/pointwiseConvLayer.js
   function pointwiseConvLayer(x, params, strides) {
     return tidy(() => {
       let out = conv2d(x, params.filters, strides, "same");
@@ -23185,7 +23191,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/ssdMobilenetv1/mobileNetV1.js
+  // build/src/ssdMobilenetv1/mobileNetV1.js
   const epsilon = 0.0010000000474974513;
   function depthwiseConvLayer(x, params, strides) {
     return tidy(() => {
@@ -23235,7 +23241,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/ssdMobilenetv1/nonMaxSuppression.js
+  // build/src/ssdMobilenetv1/nonMaxSuppression.js
   function nonMaxSuppression3(boxes, scores, maxOutputSize, iouThreshold, scoreThreshold) {
     const numBoxes = boxes.shape[0];
     const outputSize = Math.min(maxOutputSize, numBoxes);
@@ -23286,7 +23292,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return intersectionArea / (areaI + areaJ - intersectionArea);
   }
 
-  // build/ssdMobilenetv1/outputLayer.js
+  // build/src/ssdMobilenetv1/outputLayer.js
   function getCenterCoordinatesAndSizesLayer(x) {
     const vec = unstack(transpose(x, [1, 0]));
     const sizes = [
@@ -23333,7 +23339,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/ssdMobilenetv1/boxPredictionLayer.js
+  // build/src/ssdMobilenetv1/boxPredictionLayer.js
   function boxPredictionLayer(x, params) {
     return tidy(() => {
       const batchSize = x.shape[0];
@@ -23346,7 +23352,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/ssdMobilenetv1/predictionLayer.js
+  // build/src/ssdMobilenetv1/predictionLayer.js
   function predictionLayer(x, conv11, params) {
     return tidy(() => {
       const conv0 = pointwiseConvLayer(x, params.conv_0, [1, 1]);
@@ -23386,7 +23392,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/ssdMobilenetv1/SsdMobilenetv1Options.js
+  // build/src/ssdMobilenetv1/SsdMobilenetv1Options.js
   class SsdMobilenetv1Options {
     constructor({minConfidence, maxResults} = {}) {
       this._name = "SsdMobilenetv1Options";
@@ -23407,7 +23413,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/ssdMobilenetv1/SsdMobilenetv1.js
+  // build/src/ssdMobilenetv1/SsdMobilenetv1.js
   class SsdMobilenetv1 extends NeuralNetwork {
     constructor() {
       super("SsdMobilenetv1");
@@ -23418,7 +23424,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
         throw new Error("SsdMobilenetv1 - load model before inference");
       }
       return tidy(() => {
-        const batchTensor = input.toBatchTensor(512, false).toFloat();
+        const batchTensor = cast(input.toBatchTensor(512, false), "float32");
         const x = sub(mul(batchTensor, scalar(0.007843137718737125)), scalar(1));
         const features = mobileNetV1(x, params.mobilenetv1);
         const {boxPredictions, classPredictions} = predictionLayer(features.out, features.conv11, params.prediction_layer);
@@ -23475,7 +23481,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/ssdMobilenetv1/index.js
+  // build/src/ssdMobilenetv1/index.js
   function createSsdMobilenetv1(weights) {
     const net = new SsdMobilenetv1();
     net.extractWeights(weights);
@@ -23487,7 +23493,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
   class FaceDetectionNet extends SsdMobilenetv1 {
   }
 
-  // build/tinyYolov2/const.js
+  // build/src/tinyYolov2/const.js
   const IOU_THRESHOLD = 0.4;
   const BOX_ANCHORS = [
     new Point(0.738768, 0.874946),
@@ -23507,7 +23513,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
   const DEFAULT_MODEL_NAME = "tiny_yolov2_model";
   const DEFAULT_MODEL_NAME_SEPARABLE_CONV = "tiny_yolov2_separable_conv_model";
 
-  // build/tinyYolov2/config.js
+  // build/src/tinyYolov2/config.js
   const isNumber2 = (arg) => typeof arg === "number";
   function validateConfig(config2) {
     if (!config2) {
@@ -23530,7 +23536,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/tinyYolov2/leaky.js
+  // build/src/tinyYolov2/leaky.js
   function leaky(x) {
     return tidy(() => {
       const min5 = mul(x, scalar(0.10000000149011612));
@@ -23538,7 +23544,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/tinyYolov2/convWithBatchNorm.js
+  // build/src/tinyYolov2/convWithBatchNorm.js
   function convWithBatchNorm(x, params) {
     return tidy(() => {
       let out = pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
@@ -23550,7 +23556,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/tinyYolov2/depthwiseSeparableConv.js
+  // build/src/tinyYolov2/depthwiseSeparableConv.js
   function depthwiseSeparableConv3(x, params) {
     return tidy(() => {
       let out = pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
@@ -23560,7 +23566,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     });
   }
 
-  // build/tinyYolov2/extractParams.js
+  // build/src/tinyYolov2/extractParams.js
   function extractorsFactory9(extractWeights, paramMappings) {
     const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
     function extractBatchNormParams(size, mappedPrefix) {
@@ -23617,7 +23623,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {params, paramMappings};
   }
 
-  // build/tinyYolov2/extractParamsFromWeigthMap.js
+  // build/src/tinyYolov2/extractParamsFromWeigthMap.js
   function extractorsFactory10(weightMap, paramMappings) {
     const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
     function extractBatchNormParams(prefix) {
@@ -23676,7 +23682,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return {params, paramMappings};
   }
 
-  // build/tinyYolov2/TinyYolov2Options.js
+  // build/src/tinyYolov2/TinyYolov2Options.js
   var TinyYolov2SizeType;
   (function(TinyYolov2SizeType2) {
     TinyYolov2SizeType2[TinyYolov2SizeType2["XS"] = 224] = "XS";
@@ -23704,7 +23710,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/tinyYolov2/TinyYolov2Base.js
+  // build/src/tinyYolov2/TinyYolov2Base.js
   class TinyYolov2Base extends NeuralNetwork {
     constructor(config2) {
       super("TinyYolov2");
@@ -23760,7 +23766,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
         throw new Error("TinyYolov2 - load model before inference");
       }
       return tidy(() => {
-        let batchTensor = input.toBatchTensor(inputSize, false).toFloat();
+        let batchTensor = cast(input.toBatchTensor(inputSize, false), "float32");
         batchTensor = this.config.meanRgb ? normalize(batchTensor, this.config.meanRgb) : batchTensor;
         batchTensor = batchTensor.div(scalar(256));
         return this.config.withSeparableConvs ? this.runMobilenet(batchTensor, params) : this.runTinyYolov2(batchTensor, params);
@@ -23869,7 +23875,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     1024
   ];
 
-  // build/tinyYolov2/TinyYolov2.js
+  // build/src/tinyYolov2/TinyYolov2.js
   class TinyYolov2 extends TinyYolov2Base {
     constructor(withSeparableConvs = true) {
       const config2 = Object.assign({}, {
@@ -23903,16 +23909,16 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/tinyYolov2/types.js
+  // build/src/tinyYolov2/types.js
 
-  // build/tinyYolov2/index.js
+  // build/src/tinyYolov2/index.js
   function createTinyYolov2(weights, withSeparableConvs = true) {
     const net = new TinyYolov2(withSeparableConvs);
     net.extractWeights(weights);
     return net;
   }
 
-  // build/tinyFaceDetector/TinyFaceDetectorOptions.js
+  // build/src/tinyFaceDetector/TinyFaceDetectorOptions.js
   class TinyFaceDetectorOptions extends TinyYolov2Options {
     constructor() {
       super(...arguments);
@@ -23920,7 +23926,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/globalApi/ComposableTask.js
+  // build/src/globalApi/ComposableTask.js
   class ComposableTask {
     async then(onfulfilled) {
       return onfulfilled(await this.run());
@@ -23930,7 +23936,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/globalApi/extractFacesAndComputeResults.js
+  // build/src/globalApi/extractFacesAndComputeResults.js
   async function extractAllFacesAndComputeResults(parentResults, input, computeResults, extractedFaces, getRectForAlignment = ({alignedRect}) => alignedRect) {
     const faceBoxes = parentResults.map((parentResult) => isWithFaceLandmarks(parentResult) ? getRectForAlignment(parentResult) : parentResult.detection);
     const faces = extractedFaces || (input instanceof Tensor ? await extractFaceTensors(input, faceBoxes) : await extractFaces(input, faceBoxes));
@@ -23942,7 +23948,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return extractAllFacesAndComputeResults([parentResult], input, async (faces) => computeResult(faces[0]), extractedFaces, getRectForAlignment);
   }
 
-  // build/tinyFaceDetector/const.js
+  // build/src/tinyFaceDetector/const.js
   const IOU_THRESHOLD2 = 0.4;
   const BOX_ANCHORS2 = [
     new Point(1.603231, 2.094468),
@@ -23953,7 +23959,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
   ];
   const MEAN_RGB = [117.001, 114.697, 97.404];
 
-  // build/tinyFaceDetector/TinyFaceDetector.js
+  // build/src/tinyFaceDetector/TinyFaceDetector.js
   class TinyFaceDetector extends TinyYolov2Base {
     constructor() {
       const config2 = {
@@ -23982,7 +23988,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/globalApi/nets.js
+  // build/src/globalApi/nets.js
   const nets = {
     ssdMobilenetv1: new SsdMobilenetv1(),
     tinyFaceDetector: new TinyFaceDetector(),
@@ -24013,7 +24019,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
   const locateFaces = ssdMobilenetv1;
   const detectLandmarks = detectFaceLandmarks;
 
-  // build/globalApi/PredictFaceExpressionsTask.js
+  // build/src/globalApi/PredictFaceExpressionsTask.js
   class PredictFaceExpressionsTaskBase extends ComposableTask {
     constructor(parentTask, input, extractedFaces) {
       super();
@@ -24062,7 +24068,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/globalApi/PredictAgeAndGenderTask.js
+  // build/src/globalApi/PredictAgeAndGenderTask.js
   class PredictAgeAndGenderTaskBase extends ComposableTask {
     constructor(parentTask, input, extractedFaces) {
       super();
@@ -24114,7 +24120,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/globalApi/ComputeFaceDescriptorsTasks.js
+  // build/src/globalApi/ComputeFaceDescriptorsTasks.js
   class ComputeFaceDescriptorsTaskBase extends ComposableTask {
     constructor(parentTask, input) {
       super();
@@ -24152,7 +24158,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/globalApi/DetectFaceLandmarksTasks.js
+  // build/src/globalApi/DetectFaceLandmarksTasks.js
   class DetectFaceLandmarksTaskBase extends ComposableTask {
     constructor(parentTask, input, useTinyLandmarkNet) {
       super();
@@ -24206,7 +24212,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/globalApi/DetectFacesTasks.js
+  // build/src/globalApi/DetectFacesTasks.js
   class DetectFacesTaskBase extends ComposableTask {
     constructor(input, options = new SsdMobilenetv1Options()) {
       super();
@@ -24267,7 +24273,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/globalApi/detectFaces.js
+  // build/src/globalApi/detectFaces.js
   function detectSingleFace(input, options = new SsdMobilenetv1Options()) {
     return new DetectSingleFaceTask(input, options);
   }
@@ -24275,7 +24281,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return new DetectAllFacesTask(input, options);
   }
 
-  // build/globalApi/allFaces.js
+  // build/src/globalApi/allFaces.js
   async function allFacesSsdMobilenetv1(input, minConfidence) {
     console.warn("allFacesSsdMobilenetv1 is deprecated and will be removed soon, use the high level api instead");
     return await detectAllFaces(input, new SsdMobilenetv1Options(minConfidence ? {minConfidence} : {})).withFaceLandmarks().withFaceDescriptors();
@@ -24286,7 +24292,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
   }
   const allFaces = allFacesSsdMobilenetv1;
 
-  // build/euclideanDistance.js
+  // build/src/euclideanDistance.js
   function euclideanDistance(arr1, arr2) {
     if (arr1.length !== arr2.length)
       throw new Error("euclideanDistance: arr1.length !== arr2.length");
@@ -24295,7 +24301,7 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     return Math.sqrt(desc1.map((val, i) => val - desc2[i]).reduce((res, diff) => res + Math.pow(diff, 2), 0));
   }
 
-  // build/globalApi/FaceMatcher.js
+  // build/src/globalApi/FaceMatcher.js
   class FaceMatcher {
     constructor(inputs, distanceThreshold = 0.6) {
       this._distanceThreshold = distanceThreshold;
@@ -24346,18 +24352,18 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
   }
 
-  // build/globalApi/types.js
+  // build/src/globalApi/types.js
 
-  // build/globalApi/index.js
+  // build/src/globalApi/index.js
 
-  // build/tinyFaceDetector/index.js
+  // build/src/tinyFaceDetector/index.js
   function createTinyFaceDetector(weights) {
     const net = new TinyFaceDetector();
     net.extractWeights(weights);
     return net;
   }
 
-  // build/resizeResults.js
+  // build/src/resizeResults.js
   function resizeResults(results, dimensions) {
     const {width, height} = new Dimensions(dimensions.width, dimensions.height);
     if (width <= 0 || height <= 0) {
@@ -24379,6 +24385,9 @@ Manifest JSON has weights with names: ${allManifestWeightNames.join(", ")}.`);
     }
     return results;
   }
-  return require_build();
+
+  // build/package.json
+  var version2 = "0.4.5";
+  return require_src();
 })();
 //# sourceMappingURL=face-api.js.map
diff --git a/dist/face-api.js.map b/dist/face-api.js.map
index be76ec6..59705fe 100644
--- a/dist/face-api.js.map
+++ b/dist/face-api.js.map
@@ -1,7 +1,7 @@
 {
   "version": 3,
-  "sources": ["node_modules/seedrandom/lib/alea.js", "node_modules/seedrandom/lib/xor128.js", "node_modules/seedrandom/lib/xorwow.js", "node_modules/seedrandom/lib/xorshift7.js", "node_modules/seedrandom/lib/xor4096.js", "node_modules/seedrandom/lib/tychei.js", "disabled:crypto", "node_modules/seedrandom/seedrandom.js", "node_modules/seedrandom/index.js", "build/env/../../src/env/isNodejs.ts", "build/../src/index.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/environment.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/global_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/kernel_names.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/kernel_registry.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/profiler.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tape.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_format.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/types.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/engine.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/device_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/flags.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_util_env.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/operation.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/abs.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/acos.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/acosh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/add.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/add_n.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/axis_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reshape.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/transpose.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/all.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/any.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/arg_max.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/arg_min.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/asin.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/asinh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/atan.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/atan2.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/atanh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cast.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/avg_pool.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/globals.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/avg_pool_3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor_ops_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/mat_mul.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/mul.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sigmoid.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/slice_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/slice.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tanh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/basic_lstm_cell.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batch_to_space_nd.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/clone.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/broadcast_to.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/buffer.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/ceil.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/clip_by_value.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/complex.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv2d_backprop_input.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv2d_transpose.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv3d_backprop_input.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv3d_transpose.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cos.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cosh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cumsum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/depth_to_space.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/depthwise_conv2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/diag.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/dilation2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/floorDiv.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/div.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/broadcast_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/where.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/zeros_like.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/div_no_nan.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/dot.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/elu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/erf.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/exp.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/expand_dims.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/expm1.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tile.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/eye.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/fft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/fill.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/floor.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reduce_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/segment_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/gather.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/greater.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/greater_equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/ifft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/imag.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/real.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/scalar.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/irfft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/is_finite.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/is_inf.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/is_nan.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/maximum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/leaky_relu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/less.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/less_equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/linspace.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/local_response_normalization.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/log.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/log1p.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/gradients.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/neg.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/softplus.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/log_sigmoid.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/max.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sub.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/log_softmax.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/log_sum_exp.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/logical_and.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/logical_not.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/logical_or.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/logical_xor.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/max_pool.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/max_pool_3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/max_pool_with_argmax.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/zeros.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/ones.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/mean.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/min.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/minimum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/mod.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/square.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/moments.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/multi_rnn_cell.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/multinomial.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/not_equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/one_hot.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/ones_like.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/outer_product.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pad.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pad1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pad2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pad3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pad4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/space_to_batch_nd.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pool.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pow.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/prelu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/print.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/prod.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/rand.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/test_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/rand_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/random_gamma.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/random_normal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/random_uniform.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/range.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reciprocal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/relu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/relu6.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse_1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse_2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse_3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse_4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/split_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/split.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/rfft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/round.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/rsqrt.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/selu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/separable_conv2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/setdiff1d_async.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sign.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sin.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sinh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/slice1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/slice2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/slice3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/slice4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/softmax.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sqrt.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/squared_difference.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/squeeze.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/stack.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/step.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/strided_slice.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tan.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor5d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor6d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/topk.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/truncated_normal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/unsorted_segment_sum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/unstack.ts", 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"build/src/tinyFaceDetector/../../../src/tinyFaceDetector/index.ts", "build/src/../../src/resizeResults.ts"],
   "sourcesContent": ["// A port of an algorithm by Johannes Baag\u00F8e <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null],
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diff --git a/dist/face-api.min.js b/dist/face-api.min.js
index 681fcd3..b84f4b5 100644
--- a/dist/face-api.min.js
+++ b/dist/face-api.min.js
@@ -1,20 +1,20 @@
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Buffer shape=${this.shape}`;throw new Error(o)}t++}let n=e[e.length-1];for(let r=0;r<e.length-1;++r)n+=this.strides[r]*e[r];return this.values[n]}locToIndex(e){if(this.rank===0)return 0;if(this.rank===1)return e[0];let t=e[e.length-1];for(let n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t}indexToLoc(e){if(this.rank===0)return[];if(this.rank===1)return[e];const t=new Array(this.shape.length);for(let n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t}get rank(){return this.shape.length}toTensor(){return qt().makeTensor(this.values,this.shape,this.dtype)}}let qt=null,Fr=null,Ew=null;function Cd(e){qt=e}function Ed(e){Fr=e}function Od(e){Ew=e}class ee{constructor(e,t,n,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=Q(e),this.strides=Gt(e),this.dataId=n,this.id=r,this.rankType=this.rank<5?this.rank.toString():"higher"}get rank(){return this.shape.length}async buffer(){const e=await this.data();return Fr.buffer(this.shape,this.dtype,e)}bufferSync(){return Fr.buffer(this.shape,this.dtype,this.dataSync())}async array(){const e=await this.data();return Mn(this.shape,e)}arraySync(){return Mn(this.shape,this.dataSync())}async data(){this.throwIfDisposed();const e=qt().read(this.dataId);if(this.dtype==="string"){const t=await e;try{return t.map(n=>_a(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataSync(){this.throwIfDisposed();const e=qt().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>_a(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();const e=await qt().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){if(this.isDisposed)return;qt().disposeTensor(this),this.isDisposedInternal=!0}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Fr.print(this,e)}clone(){return this.throwIfDisposed(),Fr.clone(this)}toString(e=!1){const t=this.dataSync();return Rd(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Fr.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),qt().makeVariable(this,e,t,n)}}Object.defineProperty(ee,Symbol.hasInstance,{value:e=>!!e&&e.dataId!=null&&e.shape!=null&&e.dtype!=null});class Ht extends ee{constructor(e,t,n,r){super(e.shape,e.dtype,e.dataId,r);this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!Te(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);qt().disposeTensor(this),this.dataId=e.dataId,qt().incRef(this,null)}dispose(){qt().disposeVariable(this),this.isDisposedInternal=!0}}Object.defineProperty(Ht,Symbol.hasInstance,{value:e=>e instanceof ee&&e.assign!=null&&e.assign instanceof Function});var Wp;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(Wp||(Wp={}));var Bp;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(Bp||(Bp={}));var $p;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})($p||($p={}));var jp;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})(jp||(jp={}));var Gp;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(Gp||(Gp={}));const Ow={float32:jp,int32:Bp,bool:$p,complex64:Gp};function Mr(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return Ow[e][t]}function kw(e){return Mr(e,"int32")}const kd={};Re(kd,{assertTypesMatch:()=>Pp,getTensorsInContainer:()=>ls,isTensorInList:()=>Dw,makeTypesMatch:()=>V});function V(e,t){if(e.dtype===t.dtype)return[e,t];const n=Mr(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function Pp(e,t){f(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function Dw(e,t){return t.some(n=>n.id===e.id)}function ls(e){const t=[],n=new Set();return Dd(e,t,n),t}function Dd(e,t,n){if(e==null)return;if(e instanceof ee){t.push(e);return}if(!Fw(e))return;const r=e;for(const o in r){const i=r[o];n.has(i)||(n.add(i),Dd(i,t,n))}}function Fw(e){return Array.isArray(e)||typeof e=="object"}class Fd{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap(),this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}dispose(){for(const e in this.registeredVariables)this.registeredVariables[e].dispose()}}class hs{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Fd()}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;const e=this.getSortedBackends();for(let t=0;t<e.length;t++){const n=e[t],r=await this.initializeBackend(n).success;if(r){await this.setBackend(n);return}}throw new Error("Could not initialize any backends, all backend initializations failed.")}get backend(){if(this.pendingBackendInit!=null)throw new Error(`Backend '${this.backendName}' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods`);if(this.backendInstance==null){const{name:e,asyncInit:t}=this.initializeBackendsAndReturnBest();if(t)throw new Error(`The highest priority backend '${e}' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods`);this.setBackend(e)}return this.backendInstance}backendNames(){return Object.keys(this.registryFactory)}findBackend(e){if(!(e in this.registry))if(e in this.registryFactory){const{asyncInit:t}=this.initializeBackend(e);if(t)return null}else return null;return this.registry[e]}findBackendFactory(e){return e in this.registryFactory?this.registryFactory[e].factory:null}registerBackend(e,t,n=1){return e in this.registryFactory?(console.warn(`${e} backend was already registered. Reusing existing backend factory.`),!1):(this.registryFactory[e]={factory:t,priority:n},!0)}async setBackend(e){if(this.registryFactory[e]==null)throw new Error(`Backend name '${e}' not found in registry`);if(this.backendName=e,this.registry[e]==null){this.backendInstance=null;const{success:t,asyncInit:n}=this.initializeBackend(e),r=n?await t:t;if(!r)return!1}return this.backendInstance=this.registry[e],this.setupRegisteredKernels(),this.profiler=new Id(this.backendInstance),!0}setupRegisteredKernels(){const e=Na(this.backendName);e.forEach(t=>{t.setupFunc!=null&&t.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){const t=Na(e);t.forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[e])})}initializeBackend(e){const t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{const n=t.factory();if(Promise.resolve(n)===n){const r=++this.pendingBackendInitId,o=n.then(i=>r<this.pendingBackendInitId?!1:(this.registry[e]=i,this.pendingBackendInit=null,!0)).catch(i=>(r<this.pendingBackendInitId||(this.pendingBackendInit=null,console.warn(`Initialization of backend ${e} failed`),console.warn(i.stack||i.message)),!1));return this.pendingBackendInit=o,{success:o,asyncInit:!0}}else return this.registry[e]=n,{success:!0,asyncInit:!1}}catch(n){return console.warn(`Initialization of backend ${e} failed`),console.warn(n.stack||n.message),{success:!1,asyncInit:!1}}}removeBackend(e){if(!(e in this.registryFactory))throw new Error(`${e} backend not found in registry`);this.backendName===e&&this.pendingBackendInit!=null&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)}getSortedBackends(){if(Object.keys(this.registryFactory).length===0)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((e,t)=>this.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){const e=this.getSortedBackends();for(let t=0;t<e.length;t++){const n=e[t],{success:r,asyncInit:o}=this.initializeBackend(n);if(o||r)return{name:n,asyncInit:o}}throw new Error("Could not initialize any backends, all backend initializations failed.")}moveData(e,t){const n=this.state.tensorInfo.get(t),r=n.backend,o=this.readSync(t);r.disposeData(t),n.backend=e,e.move(t,o,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}tidy(e,t){let n=null;if(t==null){if(typeof e!="function")throw new Error("Please provide a function to tidy()");t=e}else{if(typeof e!="string"&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if(typeof t!="function")throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");n=e}let r;return this.scopedRun(()=>this.startScope(n),()=>this.endScope(r),()=>(r=t(),r instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),r))}scopedRun(e,t,n){e();try{const r=n();return t(),r}catch(r){throw t(),r}}nextTensorId(){return hs.nextTensorId++}nextVariableId(){return hs.nextVariableId++}clone(e){const t=this.makeTensorFromDataId(e.dataId,e.shape,e.dtype),n={x:e},r=i=>({x:()=>{const a="float32",s={x:i},c={dtype:a};return g.runKernelFunc(p=>p.cast(i,a),s,null,Dn,c)}}),o=[];return this.addTapeNode(this.state.activeScope.name,n,[t],r,o,{}),t}runKernel(e,t,n,r,o){const i=null,a=null;return this.runKernelFunc(i,t,a,e,n,r,o)}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){const r=this.backend.numDataIds();let o=0;n.forEach(s=>{o+=s.dtype==="complex64"?3:1});const i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=r-t-o-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${e}'`)}runKernelFunc(e,t,n,r,o,i,a){let s,c=[];const p=this.isTapeOn();r==null&&(r=this.state.activeScope!=null?this.state.activeScope.name:"");const l=this.state.numBytes,h=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let d;const b=rs(r,this.backendName);let x;if(b!=null)d=()=>{const L=this.backend.numDataIds();x=b.kernelFunc({inputs:t,attrs:o,backend:this.backend});const S=Array.isArray(x)?x:[x];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(r,L,S);const I=S.map(({dataId:N,shape:A,dtype:E})=>this.makeTensorFromDataId(N,A,E));if(p){let N=this.getTensorsForGradient(r,t,I);if(N==null){a==null&&(a=[]);const A=I.filter((E,M)=>a[M]);N=(i||[]).slice().concat(A)}c=this.saveTensorsForBackwardMode(N)}return I};else{const L=S=>{if(!p)return;c=S.map(I=>this.keep(this.clone(I)))};d=()=>{const S=this.backend.numDataIds();x=this.tidy(()=>e(this.backend,L));const I=Array.isArray(x)?x:[x];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(r,S,I),I}}let w;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?s=d():(w=this.profiler.profileKernel(r,t,()=>d()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(w),s=w.outputs)}),p&&this.addTapeNode(r,t,s,n,c,o),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-l,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-h,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(t).map(L=>t[L]!=null?t[L].shape:null),outputShapes:s.map(L=>L.shape),kernelTimeMs:w.timeMs,extraInfo:w.extraInfo}),Array.isArray(x)?s:s[0]}saveTensorsForBackwardMode(e){const t=e.map(n=>this.keep(this.clone(n)));return t}getTensorsForGradient(e,t,n){const r=Aa(e);if(r!=null){const o=r.inputsToSave||[],i=r.outputsToSave||[];let a;r.saveAllInputs?(f(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),a=Object.keys(t).map(c=>t[c])):a=o.map(c=>t[c]);const s=n.filter((c,p)=>i[p]);return a.concat(s)}return null}makeTensor(e,t,n,r){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;let o=e;n==="string"&&Rt(e[0])&&(o=e.map(s=>Mp(s)));const i=r.write(o,t,n),a=new ee(t,n,i,this.nextTensorId());if(this.incRef(a,r),n==="string"){const s=this.state.tensorInfo.get(i),c=Fp(o);this.state.numBytes+=c-s.bytes,s.bytes=c}return a}makeTensorFromDataId(e,t,n,r){n=n||"float32";const o=new ee(t,n,e,this.nextTensorId());return this.incRef(o,r),o}makeVariable(e,t=!0,n,r){n=n||this.nextVariableId().toString(),r!=null&&r!==e.dtype&&(e=e.cast(r));const o=new Ht(e,t,n,this.nextTensorId());if(this.state.registeredVariables[o.name]!=null)throw new Error(`Variable with name ${o.name} was already registered`);return this.state.registeredVariables[o.name]=o,this.incRef(o,this.backend),o}incRef(e,t){const n=this.state.tensorInfo.has(e.dataId)?this.state.tensorInfo.get(e.dataId).refCount:0;if(this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++,n===0){this.state.numDataBuffers++;let r=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(r=e.size*Dp(e.dtype)),this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(e.dataId).refCount++,e instanceof Ht||this.track(e)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;this.state.numTensors--,e.dtype==="string"&&this.state.numStringTensors--;const t=this.state.tensorInfo.get(e.dataId),n=t.refCount;n<=1?(e.dtype!=="complex64"&&(this.state.numBytes-=t.bytes),this.state.numDataBuffers--,t.backend.disposeData(e.dataId),this.state.tensorInfo.delete(e.dataId)):this.state.tensorInfo.get(e.dataId).refCount--}disposeVariables(){for(const e in this.state.registeredVariables){const t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){const e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;const t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(r=>r.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(const r of this.state.activeProfile.kernels)r.kernelTimeMs=await r.kernelTimeMs,r.extraInfo=await r.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,n,r,o,i){const a={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:o},s=Aa(e);s!=null&&(r=s.gradFunc),r!=null&&(a.gradient=c=>(c=c.map((p,l)=>{if(p==null){const h=n[l],d=Pt(h.size,h.dtype);return this.makeTensor(d,h.shape,h.dtype)}return p}),r(c.length>1?c:c[0],o,i))),this.state.activeTape.push(a)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){const t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){const t=ls(e),n=new Set(t.map(o=>o.id));for(let o=0;o<this.state.activeScope.track.length;o++){const i=this.state.activeScope.track[o];!i.kept&&!n.has(i.id)&&i.dispose()}const r=this.state.scopeStack.pop();this.state.activeScope=this.state.scopeStack.length===0?null:this.state.scopeStack[this.state.scopeStack.length-1],t.forEach(o=>{!o.kept&&o.scopeId===r.id&&this.track(o)})}gradients(e,t,n,r=!1){if(f(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);const o=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));f(o instanceof ee,()=>"The result y returned by f() must be a tensor.");const i=Td(this.state.activeTape,t,o);if(!r&&i.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. 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${p.rank}.`),l!=null&&f(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${l.rank}.`),Ct(a,s,c,l,p,i)}const Ll=m({batchNorm3d_:jx});function Gx(e,t,n,r,o,i){const a=u(e,"x","batchNorm"),s=u(t,"mean","batchNorm"),c=u(n,"variance","batchNorm");let p;o!=null&&(p=u(o,"scale","batchNorm"));let l;return r!=null&&(l=u(r,"offset","batchNorm")),f(a.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${a.rank}.`),f(s.rank===4||s.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${s.rank}.`),f(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${c.rank}.`),p!=null&&f(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${p.rank}.`),l!=null&&f(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${l.rank}.`),Ct(a,s,c,l,p,i)}const vl=m({batchNorm4d_:Gx});function Px(e){const t=u(e,"x","clone",null),n=()=>g.makeTensorFromDataId(t.dataId,t.shape,t.dtype),r={x:t};return g.runKernelFunc(n,r,null,ni)}const Et=m({clone_:Px});function qx(e,t){let n=u(e,"broadcastTo","x");const r=n.shape;if(t.some(l=>!(l>0)||l%1!==0))throw new Error(`broadcastTo(): Invalid broadcast shape [${t}].`);if(t.length<n.rank)throw new Error(`broadcastTo(): shape.length=${t.length} < input.rank=${n.rank}.`);if(t.length>n.rank){const l=n.shape.slice();for(;l.length<t.length;)l.unshift(1);n=y(n,l)}const o=n.shape,i=Array.from(t);for(let l=t.length-1;l>=0;l--)if(o[l]===t[l])i[l]=1;else if(n.shape[l]!==1)throw new Error(`broadcastTo(): [${r}] cannot be broadcast to [${t}].`);const a=i.map((l,h)=>l>1?h:-1).filter(l=>l>=0);if(a.length===0)return Et(n);const s=l=>l.tile(n,i),c={x:n},p={shape:t,inputShape:o};return g.runKernelFunc(s,c,null,Do,p)}const Br=m({broadcastTo_:qx});function Be(e,t="float32",n){return t=t||"float32",ss(e),new Dr(e,t,n)}function Hx(e){const t=u(e,"x","ceil"),n={x:t};return g.runKernelFunc(r=>r.ceil(t),n,null,Fo)}const Sl=m({ceil_:Hx});function zx(e,t,n){const r=u(e,"x","clipByValue");f(t<=n,()=>`Error in clip: min (${t}) must be less than or equal to max (${n}).`);const o={x:r},i={clipValueMin:t,clipValueMax:n};return g.runKernelFunc((a,s)=>{const c=a.clip(r,t,n);return s([r]),c},o,null,Mo,i)}const $n=m({clipByValue_:zx});function Yx(e,t){const n=u(e,"real","complex"),r=u(t,"imag","complex");P(n.shape,r.shape,`real and imag shapes, ${n.shape} and ${r.shape}, must match in call to tf.complex().`);const o=a=>a.complex(n,r),i={real:n,imag:r};return g.runKernelFunc(o,i,null,Mc)}const Ye=m({complex_:Yx});function Vx(e){return Z(e,0)}const Il=m({concat1d_:Vx});function Kx(e,t){return Z(e,t)}const Tl=m({concat2d_:Kx});function Jx(e,t){return Z(e,t)}const Al=m({concat3d_:Jx});function Xx(e,t){return Z(e,t)}const Nl=m({concat4d_:Xx});function Zx(e,t,n,r,o="NHWC",i=[1,1],a){const s=u(e,"x","conv2d"),c=u(t,"filter","conv2d");let p=s,l=!1;s.rank===3&&(l=!0,p=y(s,[1,s.shape[0],s.shape[1],s.shape[2]])),f(p.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${p.rank}.`),f(c.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${c.rank}.`),a!=null&&f(X(r),()=>`Error in conv2d: pad must be an integer when using, dimRoundingMode ${a} but got pad ${r}.`);const h=o==="NHWC"?p.shape[3]:p.shape[1];f(h===c.shape[2],()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${c.shape[2]}.`),f(le(n,i),()=>`Error in conv2D: Either strides or dilations must be 1. 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Got stride ${n} and dilation '${i}'`),f(o==="NWC",()=>`Error in conv1d: got dataFormat of ${o} but only NWC is currently supported.`);const h=y(c,[1,c.shape[0],c.shape[1],c.shape[2]]),d=y(p,[p.shape[0],1,p.shape[1],p.shape[2]]),b=[1,n],x=[1,i],w="NHWC",L=xe(d,h,b,r,w,x,a);return l?y(L,[L.shape[2],L.shape[3]]):y(L,[L.shape[0],L.shape[2],L.shape[3]])}const Rl=m({conv1d_:Qx});function ey(e,t,n,r,o,i="NHWC",a){f(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let s=e,c=t,p=!1;t.rank===3&&(p=!0,c=y(t,[1,t.shape[0],t.shape[1],t.shape[2]]),s=[1,e[0],e[1],e[2]]),f(s.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${s.length}.`),f(c.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${c.rank}`),f(n.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${n.rank}`);const l=i==="NHWC"?s[3]:s[1],h=i==="NHWC"?c.shape[3]:c.shape[1];f(l===n.shape[2],()=>`Error in conv2dDerInput: depth of input (${l}) must match input depth for filter ${n.shape[2]}.`),f(h===n.shape[3],()=>`Error in conv2dDerInput: depth of output (${h}) must match output depth for filter ${n.shape[3]}.`),a!=null&&f(X(o),()=>`Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode ${a} but got pad ${o}.`);const d=(L,S)=>{const I=1,N=yn(i),A=je(s,n.shape,r,I,o,a,!1,N),E=L.conv2dDerInput(c,n,A);return S([c,n]),E},b={dy:c,filter:n},x={strides:r,pad:o,dataFormat:i,dimRoundingMode:a,inputShape:s},w=g.runKernelFunc(d,b,null,Bo,x);return p?y(w,[w.shape[1],w.shape[2],w.shape[3]]):w}const $r=m({conv2DBackpropInput_:ey});function ty(e,t,n,r,o,i){const a=u(e,"x","conv2dTranspose"),s=u(t,"filter","conv2dTranspose");return $r(n,a,s,r,o,"NHWC",i)}const _l=m({conv2dTranspose_:ty});function ny(e,t,n,r,o="NDHWC",i=[1,1,1]){const a=u(e,"x","conv3d"),s=u(t,"filter","conv3d");let c=a,p=!1;a.rank===4&&(p=!0,c=y(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),f(c.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${c.rank}.`),f(s.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${s.rank}.`),f(c.shape[4]===s.shape[3],()=>`Error in conv3d: depth of input (${c.shape[4]}) must match input depth for filter ${s.shape[3]}.`),f(le(n,i),()=>`Error in conv3D: Either strides or dilations must be 1. 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To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();const e=await qt().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){if(this.isDisposed)return;qt().disposeTensor(this),this.isDisposedInternal=!0}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Mo.print(this,e)}clone(){return this.throwIfDisposed(),Mo.clone(this)}toString(e=!1){const t=this.dataSync();return Cd(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Mo.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),qt().makeVariable(this,e,t,n)}}Object.defineProperty(ee,Symbol.hasInstance,{value:e=>!!e&&e.dataId!=null&&e.shape!=null&&e.dtype!=null});class Ht extends ee{constructor(e,t,n,o){super(e.shape,e.dtype,e.dataId,o);this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!Te(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);qt().disposeTensor(this),this.dataId=e.dataId,qt().incRef(this,null)}dispose(){qt().disposeVariable(this),this.isDisposedInternal=!0}}Object.defineProperty(Ht,Symbol.hasInstance,{value:e=>e instanceof ee&&e.assign!=null&&e.assign instanceof Function});var Bp;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(Bp||(Bp={}));var $p;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})($p||($p={}));var jp;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})(jp||(jp={}));var Gp;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})(Gp||(Gp={}));var Pp;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(Pp||(Pp={}));const Dw={float32:Gp,int32:$p,bool:jp,complex64:Pp};function Uo(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return Dw[e][t]}function Fw(e){return Uo(e,"int32")}const Fd={};Re(Fd,{assertTypesMatch:()=>qp,getTensorsInContainer:()=>hs,isTensorInList:()=>Mw,makeTypesMatch:()=>V});function V(e,t){if(e.dtype===t.dtype)return[e,t];const n=Uo(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function qp(e,t){f(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function Mw(e,t){return t.some(n=>n.id===e.id)}function hs(e){const t=[],n=new Set();return Md(e,t,n),t}function Md(e,t,n){if(e==null)return;if(e instanceof ee){t.push(e);return}if(!Uw(e))return;const o=e;for(const r in o){const i=o[r];n.has(i)||(n.add(i),Md(i,t,n))}}function Uw(e){return Array.isArray(e)||typeof e=="object"}class Ud{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap(),this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}dispose(){for(const e in this.registeredVariables)this.registeredVariables[e].dispose()}}class us{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Ud()}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;const e=this.getSortedBackends();for(let t=0;t<e.length;t++){const n=e[t],o=await this.initializeBackend(n).success;if(o){await this.setBackend(n);return}}throw new Error("Could not initialize any backends, all backend initializations failed.")}get backend(){if(this.pendingBackendInit!=null)throw new Error(`Backend '${this.backendName}' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods`);if(this.backendInstance==null){const{name:e,asyncInit:t}=this.initializeBackendsAndReturnBest();if(t)throw new Error(`The highest priority backend '${e}' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods`);this.setBackend(e)}return this.backendInstance}backendNames(){return Object.keys(this.registryFactory)}findBackend(e){if(!(e in this.registry))if(e in this.registryFactory){const{asyncInit:t}=this.initializeBackend(e);if(t)return null}else return null;return this.registry[e]}findBackendFactory(e){return e in this.registryFactory?this.registryFactory[e].factory:null}registerBackend(e,t,n=1){return e in this.registryFactory?(console.warn(`${e} backend was already registered. Reusing existing backend factory.`),!1):(this.registryFactory[e]={factory:t,priority:n},!0)}async setBackend(e){if(this.registryFactory[e]==null)throw new Error(`Backend name '${e}' not found in registry`);if(this.backendName=e,this.registry[e]==null){this.backendInstance=null;const{success:t,asyncInit:n}=this.initializeBackend(e),o=n?await t:t;if(!o)return!1}return this.backendInstance=this.registry[e],this.setupRegisteredKernels(),this.profiler=new Ad(this.backendInstance),!0}setupRegisteredKernels(){const e=Ra(this.backendName);e.forEach(t=>{t.setupFunc!=null&&t.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){const t=Ra(e);t.forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[e])})}initializeBackend(e){const t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{const n=t.factory();if(Promise.resolve(n)===n){const o=++this.pendingBackendInitId,r=n.then(i=>o<this.pendingBackendInitId?!1:(this.registry[e]=i,this.pendingBackendInit=null,!0)).catch(i=>(o<this.pendingBackendInitId||(this.pendingBackendInit=null,console.warn(`Initialization of backend ${e} failed`),console.warn(i.stack||i.message)),!1));return this.pendingBackendInit=r,{success:r,asyncInit:!0}}else return this.registry[e]=n,{success:!0,asyncInit:!1}}catch(n){return console.warn(`Initialization of backend ${e} failed`),console.warn(n.stack||n.message),{success:!1,asyncInit:!1}}}removeBackend(e){if(!(e in this.registryFactory))throw new Error(`${e} backend not found in registry`);this.backendName===e&&this.pendingBackendInit!=null&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)}getSortedBackends(){if(Object.keys(this.registryFactory).length===0)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((e,t)=>this.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){const e=this.getSortedBackends();for(let t=0;t<e.length;t++){const n=e[t],{success:o,asyncInit:r}=this.initializeBackend(n);if(r||o)return{name:n,asyncInit:r}}throw new Error("Could not initialize any backends, all backend initializations failed.")}moveData(e,t){const n=this.state.tensorInfo.get(t),o=n.backend,r=this.readSync(t);o.disposeData(t),n.backend=e,e.move(t,r,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}tidy(e,t){let n=null;if(t==null){if(typeof e!="function")throw new Error("Please provide a function to tidy()");t=e}else{if(typeof e!="string"&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if(typeof t!="function")throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");n=e}let o;return this.scopedRun(()=>this.startScope(n),()=>this.endScope(o),()=>(o=t(),o instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),o))}scopedRun(e,t,n){e();try{const o=n();return t(),o}catch(o){throw t(),o}}nextTensorId(){return us.nextTensorId++}nextVariableId(){return us.nextVariableId++}clone(e){const t=this.makeTensorFromDataId(e.dataId,e.shape,e.dtype),n={x:e},o=i=>({x:()=>{const a="float32",s={x:i},c={dtype:a};return g.runKernelFunc(p=>p.cast(i,a),s,null,Dn,c)}}),r=[];return this.addTapeNode(this.state.activeScope.name,n,[t],o,r,{}),t}runKernel(e,t,n,o,r){const i=null,a=null;return this.runKernelFunc(i,t,a,e,n,o,r)}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){const o=this.backend.numDataIds();let r=0;n.forEach(s=>{r+=s.dtype==="complex64"?3:1});const i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=o-t-r-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${e}'`)}runKernelFunc(e,t,n,o,r,i,a){let s,c=[];const p=this.isTapeOn();o==null&&(o=this.state.activeScope!=null?this.state.activeScope.name:"");const l=this.state.numBytes,h=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let d;const b=rs(o,this.backendName);let x;if(b!=null)d=()=>{const L=this.backend.numDataIds();x=b.kernelFunc({inputs:t,attrs:r,backend:this.backend});const S=Array.isArray(x)?x:[x];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(o,L,S);const I=S.map(({dataId:N,shape:A,dtype:E})=>this.makeTensorFromDataId(N,A,E));if(p){let N=this.getTensorsForGradient(o,t,I);if(N==null){a==null&&(a=[]);const A=I.filter((E,M)=>a[M]);N=(i||[]).slice().concat(A)}c=this.saveTensorsForBackwardMode(N)}return I};else{const L=S=>{if(!p)return;c=S.map(I=>this.keep(this.clone(I)))};d=()=>{const S=this.backend.numDataIds();x=this.tidy(()=>e(this.backend,L));const I=Array.isArray(x)?x:[x];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(o,S,I),I}}let w;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?s=d():(w=this.profiler.profileKernel(o,t,()=>d()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(w),s=w.outputs)}),p&&this.addTapeNode(o,t,s,n,c,r),this.state.profiling&&this.state.activeProfile.kernels.push({name:o,bytesAdded:this.state.numBytes-l,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-h,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(t).map(L=>t[L]!=null?t[L].shape:null),outputShapes:s.map(L=>L.shape),kernelTimeMs:w.timeMs,extraInfo:w.extraInfo}),Array.isArray(x)?s:s[0]}saveTensorsForBackwardMode(e){const t=e.map(n=>this.keep(this.clone(n)));return t}getTensorsForGradient(e,t,n){const o=Na(e);if(o!=null){const r=o.inputsToSave||[],i=o.outputsToSave||[];let a;o.saveAllInputs?(f(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),a=Object.keys(t).map(c=>t[c])):a=r.map(c=>t[c]);const s=n.filter((c,p)=>i[p]);return a.concat(s)}return null}makeTensor(e,t,n,o){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",o=o||this.backend;let r=e;n==="string"&&Rt(e[0])&&(r=e.map(s=>Up(s)));const i=o.write(r,t,n),a=new ee(t,n,i,this.nextTensorId());if(this.incRef(a,o),n==="string"){const s=this.state.tensorInfo.get(i),c=Mp(r);this.state.numBytes+=c-s.bytes,s.bytes=c}return a}makeTensorFromDataId(e,t,n,o){n=n||"float32";const r=new ee(t,n,e,this.nextTensorId());return this.incRef(r,o),r}makeVariable(e,t=!0,n,o){n=n||this.nextVariableId().toString(),o!=null&&o!==e.dtype&&(e=e.cast(o));const r=new Ht(e,t,n,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}incRef(e,t){const n=this.state.tensorInfo.has(e.dataId)?this.state.tensorInfo.get(e.dataId).refCount:0;if(this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++,n===0){this.state.numDataBuffers++;let o=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(o=e.size*Fp(e.dtype)),this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:o,refCount:0}),this.state.numBytes+=o}this.state.tensorInfo.get(e.dataId).refCount++,e instanceof Ht||this.track(e)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;this.state.numTensors--,e.dtype==="string"&&this.state.numStringTensors--;const t=this.state.tensorInfo.get(e.dataId),n=t.refCount;n<=1?(e.dtype!=="complex64"&&(this.state.numBytes-=t.bytes),this.state.numDataBuffers--,t.backend.disposeData(e.dataId),this.state.tensorInfo.delete(e.dataId)):this.state.tensorInfo.get(e.dataId).refCount--}disposeVariables(){for(const e in this.state.registeredVariables){const t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){const e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;const t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(const o of this.state.activeProfile.kernels)o.kernelTimeMs=await o.kernelTimeMs,o.extraInfo=await o.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,n,o,r,i){const a={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:r},s=Na(e);s!=null&&(o=s.gradFunc),o!=null&&(a.gradient=c=>(c=c.map((p,l)=>{if(p==null){const h=n[l],d=Pt(h.size,h.dtype);return this.makeTensor(d,h.shape,h.dtype)}return p}),o(c.length>1?c:c[0],r,i))),this.state.activeTape.push(a)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){const t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){const t=hs(e),n=new Set(t.map(r=>r.id));for(let r=0;r<this.state.activeScope.track.length;r++){const i=this.state.activeScope.track[r];!i.kept&&!n.has(i.id)&&i.dispose()}const o=this.state.scopeStack.pop();this.state.activeScope=this.state.scopeStack.length===0?null:this.state.scopeStack[this.state.scopeStack.length-1],t.forEach(r=>{!r.kept&&r.scopeId===o.id&&this.track(r)})}gradients(e,t,n,o=!1){if(f(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);const r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));f(r instanceof ee,()=>"The result y returned by f() must be a tensor.");const i=Nd(this.state.activeTape,t,r);if(!o&&i.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{const a={};a[r.id]=n==null?Ww(r.shape):n,Rd(a,i,c=>this.tidy(c),Bw);const s=t.map(c=>a[c.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(c=>{for(const p of c.saved)p.dispose()}),this.state.activeTape=null),{value:r,grads:s}})}customGrad(e){return f(jt(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{f(t.every(r=>r instanceof ee),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n;const o={};return t.forEach((r,i)=>{o[i]=r}),this.runKernelFunc((r,i)=>(n=e(...t,i),f(n.value instanceof ee,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),f(jt(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),o,(r,i)=>{const a=n.gradFunc(r,i),s=Array.isArray(a)?a:[a];f(s.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),f(s.every(p=>p instanceof ee),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");const c={};return s.forEach((p,l)=>{c[l]=()=>p}),c})}}readSync(e){const t=this.state.tensorInfo.get(e);return t.backend.readSync(e)}read(e){const t=this.state.tensorInfo.get(e);return t.backend.read(e)}async time(e){const t=_a(),n=await this.backend.time(e);return n.wallMs=_a()-t,n}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Ud();for(const e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}}us.nextTensorId=0;us.nextVariableId=0;function Ww(e){const t=ss(Q(e),"float32");return g.makeTensor(t,e,"float32")}function $w(){const e=Ec();if(e._tfengine==null){const t=new _c(e);e._tfengine=new us(t)}return xd(e._tfengine.ENV),Od(()=>e._tfengine),e._tfengine}const g=$w();function Bw(e,t){const n={a:e,b:t};return g.runKernelFunc((o,r)=>{const i=o.add(e,t);return r([e,t]),i},n,null,kn)}const Wd={};Re(Wd,{isBrowser:()=>Hp,isMobile:()=>Gw});function jw(){return typeof navigator!="undefined"&&navigator!=null}function Gw(){if(jw()){const e=navigator.userAgent||navigator.vendor||window.opera;return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(e)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(e.substr(0,4))}return!1}function Hp(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}const Xt=pe();Xt.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. 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shape: ${e}, sliceDim: ${r}, and batchDim: ${o}.`;if(n.rank<o)throw new Error(i+` update.rank < ${o}. `);if(e.length<r+(n.rank-o))throw new Error(i+` Output shape length < ${r+(n.rank-o)}`);if(n.rank!==o+e.length-r)throw new Error(i+` update.rank != ${o+e.length-r}`);for(let a=0;a<o;++a)if(n.shape[a]!==t.shape[a])throw new Error(i+` updates.shape[${a}] (${n.shape[a]}) != indices.shape[${a}] (${t.shape[a]}).`);for(let a=0;a<n.rank-o;++a)if(n.shape[a+o]!==e[a+r])throw new Error(i+` updates.shape[${a+o}] (${n.shape[a+o]}) != shape[${a+o}] (${e[a+o]})`)}function Ba(e,t,n){if(t.rank<1)throw new Error(`tf.scatterND() expects the indices to be rank 1 or higher, but the rank was ${t.rank}.`);if(e.rank<1)throw new Error(`tf.scatterND() expects the updates to be rank 1 or higher, but the rank was ${e.rank}.`);if(t.dtype!=="int32")throw new Error(`The dtype of 'indices' should be int32, but got dtype: ${t.dtype}`);if(n.length<1)throw new Error(`Output rank must be greater or equal to 1, but got 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o=e.rank>0?e.shape[0]:1,i=e.rank>1?e.shape[1]:1;if(n.length!==i)throw new Error(`outputShape has incorrect number of elements:, ${n.length}, should be: ${i}.`);const a=t.size;if(!(t.rank===0||t.rank===1&&a===o))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${o}]`);if(t.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function Kv(e,t,n,r=0){const o=u(e,"sparseIndices","sparseToDense","int32"),i=u(t,"sparseValues","sparseToDense"),a=u(r,"defaultValue","sparseToDense",i.dtype);gm(o,i,n,a);const s={sparseIndices:o,sparseValues:i,defaultValue:a},c={outputShape:n};return g.runKernelFunc(p=>p.sparseToDense(o,i,n,a),s,null,Sp,c)}const bm=m({sparseToDense_:Kv});function Jv(e,t){const n=u(t,"indices","gatherND","int32"),r=u(e,"x","gatherND"),o=a=>a.gatherND(r,n),i={params:r,indices:n};return g.runKernelFunc(o,i,null,Zc)}const wm=m({gatherND_:Jv});function xm(e,t){if(t==null)return e.shape.slice();if(Te(e.shape,t))return t;if(e.shape.length===t.length){const n=[];for(let r=0;r<e.shape.length;r++)t[r]==null&&e.shape[r]!=null?n.push(e.shape[r]):n.push(t[r]);return n}return t}function Xv(e,t,n,r){const o=u(e,"x","dropout");if(f(o.dtype==="float32",()=>`x has to be a floating point tensor since it's going to be scaled, but got a ${o.dtype} tensor instead.`),f(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return e instanceof ee?o.clone():o;const i=xm(o,n),a=1-t,s=F(Pn(R(Ns(i,0,1,"float32",r),a)),a);return v(o,s)}const ym=m({dropout_:Xv});function $a(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function qr(e,t,n){const r=1-e%2,o=new Float32Array(e);for(let i=0;i<e;++i){const a=2*Math.PI*i/(e+r-1);o[i]=t-n*Math.cos(a)}return ce(o,"float32")}async function Zv(e,t,n=1){const r=u(e,"predictions","inTopK"),o=u(t,"targets","inTopK");f(r.rank>1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got 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Error(`Cannot compute gradient for fused activation ${n}.`)}function nr(e,t){let n=t;const r=ae(e.shape,t.shape);return r.length>0&&(n=U(n,r)),y(n,e.shape)}function rr(e,t,n){if(t==="linear")return e;if(t==="relu")return ie(e);if(t==="elu")return bs(e);if(t==="relu6")return Rs(e);if(t==="prelu")return Ts(e,n);throw new Error(`Unknown fused activation ${t}.`)}const or=(e,t)=>{const n=e>0;return!n||t==="linear"};function eS({x:e,filter:t,strides:n,pad:r,dataFormat:o="NHWC",dilations:i=[1,1],dimRoundingMode:a,bias:s,activation:c="linear",preluActivationWeights:p}){if(c=c||"linear",or(g.state.gradientDepth,c)===!1){let E=xe(e,t,n,r,o,i,a);return s!=null&&(E=R(E,s)),rr(E,c,p)}const l=u(e,"x","conv2d"),h=u(t,"filter","conv2d");let d=l,b=!1;l.rank===3&&(b=!0,d=y(l,[1,l.shape[0],l.shape[1],l.shape[2]])),f(d.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${d.rank}.`),f(h.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank 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Got strides ${n} and dilations '${i}'`),a!=null&&f(X(r),()=>`Error in fused depthwiseConv2d: pad must be an integer when using dimRoundingMode ${a} but got pad ${r}.`);const x=je(d.shape,h.shape,n,i,r,a,!0);let w;s!=null&&(w=u(s,"bias","fused conv2d"),[w]=V(w,l),q(x.outShape,w.shape));let L;p!=null&&(L=u(p,"prelu weights","fused depthwiseConv2d"));const S=(E,M)=>{f(ct(i),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. 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M=(j,te)=>{const[re,he,ye,Me]=te,Tt=tr(y(j,ye.shape),ye,i);let ln,wr;if(!n&&!r?(ln=Y(Tt,he,!1,!0),wr=Y(re,Tt,!0,!1)):!n&&r?(ln=Y(Tt,he,!1,!1),wr=Y(Tt,re,!0,!1)):n&&!r?(ln=Y(he,Tt,!1,!0),wr=Y(re,Tt,!1,!1)):(ln=Y(he,Tt,!0,!0),wr=Y(Tt,re,!0,!0)),o!=null){const Yb=nr(Me,Tt);return[ln,wr,Yb]}else return[ln,wr]},D=j=>{const te=j.fusedBatchMatMul({a:I,b:N,transposeA:n,transposeB:r,bias:A,activation:i,preluActivationWeights:E});return te},$={a:I,b:N,bias:A,preluActivationWeights:E},B={transposeA:n,transposeB:r,activation:i};if(o==null){const j=Ke((te,re,he)=>{const ye=g.runKernelFunc(D,$,null,Sa,B);return he([te,re,ye]),{value:y(ye,S),gradFunc:M}});return j(I,N)}else{const j=Ke((te,re,he,ye)=>{const Me=g.runKernelFunc(D,$,null,Sa,B);return ye([te,re,Me,he]),{value:y(Me,S),gradFunc:M}});return j(I,N,A)}}const aS=m({fusedMatMul_:sS});const Mh={};Re(Mh,{conv2d:()=>tS,depthwiseConv2d:()=>iS,matMul:()=>aS});function cS(e){return qr(e,.54,.46)}const vm=m({hammingWindow_:cS});function pS(e){return qr(e,.5,.5)}const Pa=m({hannWindow_:pS});function lS(e,t,n,r=!1,o=0){let i=0;const a=[];for(;i+t<=e.size;)a.push(G(e,i,t)),i+=n;if(r)for(;i<e.size;){const s=i+t-e.size,c=Z([G(e,i,t-s),Ge([s],o)]);a.push(c),i+=n}return a.length===0?mt([],[0,t]):y(Z(a),[a.length,t])}const qa=m({frame_:lS});function hS(e,t,n,r,o=Pa){r==null&&(r=$a(t));const i=qa(e,t,n),a=v(i,o(t)),s=[];for(let c=0;c<i.shape[0];c++)s.push(Jn(G(a,[c,0],[1,t]),r));return Z(s)}const Sm=m({stft_:hS});function uS(e,t,n,r,o,i){const a=u(e,"image","cropAndResize"),s=u(t,"boxes","cropAndResize","float32"),c=u(n,"boxInd","cropAndResize","int32");o=o||"bilinear",i=i||0;const p=s.shape[0];f(a.rank===4,()=>`Error in cropAndResize: image must be rank 4,but got rank ${a.rank}.`),f(s.rank===2&&s.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${p},4] but had shape ${s.shape}.`),f(c.rank===1&&c.shape[0]===p,()=>`Error in cropAndResize: boxInd must be have size [${p}] but had shape ${s.shape}.`),f(r.length===2,()=>`Error 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St(e,t,n,r,o,i){r==null&&(r=.5),o==null&&(o=Number.NEGATIVE_INFINITY),i==null&&(i=0);const a=e.shape[0];return n=Math.min(n,a),f(0<=r&&r<=1,()=>`iouThreshold must be in [0, 1], but was '${r}'`),f(e.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${e.rank}'`),f(e.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${e.shape[1]}`),f(t.rank===1,()=>"scores must be a 1D tensor"),f(t.shape[0]===a,()=>`scores has incompatible shape with boxes. 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-Manifest JSON has weights with names: ${s.join(", ")}.`)}const c=o.reduce((b,x,w)=>(x&&b.push(w),b),[]),p=[];c.forEach(b=>{t[b].paths.forEach(x=>{const w=n+(n.endsWith("/")?"":"/")+x;p.push(w)})});const l=await e(p),h={};let d=0;return c.forEach(b=>{const x=t[b].paths.length;let w=0;for(let A=0;A<x;A++)w+=l[d+A].byteLength;const L=new ArrayBuffer(w),S=new Uint8Array(L);let I=0;for(let A=0;A<x;A++){const E=new Uint8Array(l[d+A]);S.set(E,I),I+=E.byteLength}const N=i[b];N.forEach(A=>{const E=L.slice(A.groupOffset,A.groupOffset+A.sizeBytes),M=Bh(E,[A.manifestEntry]);for(const D in M)h[D]=M[D]}),d+=x}),h}}const aI="application/octet-stream",cI="application/json";class Ph{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,t.fetchFunc!=null?(f(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=pe().platform.fetch,f(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&f(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");const t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData();const n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],r={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,userDefinedMetadata:e.userDefinedMetadata,weightsManifest:n};t.body.append("model.json",new Blob([JSON.stringify(r)],{type:cI}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:aI}),"model.weights.bin");const o=await this.fetch(this.path,t);if(o.ok)return{modelArtifactsInfo:Us(e),responses:[o]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${o.status}.`)}async load(){const e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(l){let h=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?h+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":h+=" Please make sure the server is serving valid JSON for this request.",new Error(h)}const n=t.modelTopology,r=t.weightsManifest,o=t.generatedBy,i=t.convertedBy,a=t.format,s=t.userDefinedMetadata;if(n==null&&r==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);let c,p;if(r!=null){const l=await this.loadWeights(r);[c,p]=l}return{modelTopology:n,weightSpecs:c,weightData:p,userDefinedMetadata:s,generatedBy:o,convertedBy:i,format:a}}async loadWeights(e){const t=Array.isArray(this.path)?this.path[1]:this.path,[n,r]=pI(t),o=this.weightPathPrefix||n,i=[];for(const c of e)i.push(...c.weights);const a=[];e.forEach(c=>{c.paths.forEach(p=>{a.push(o+p+r)})});const s=await Gh(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[i,Ms(s)]}}Ph.URL_SCHEME_REGEX=/^https?:\/\//;function pI(e){const t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),r=e.substring(0,t),o=n>t?e.substring(n):"";return[r+"/",o]}function qh(e){return e.match(Ph.URL_SCHEME_REGEX)!=null}const cf=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(r=>qh(r)):n=qh(e),n)return Hh(e,t)}return null};Ne.registerSaveRouter(cf);Ne.registerLoadRouter(cf);function Hh(e,t){return new Ph(e,t)}function lI(e,t){return Hh(e,t)}class zh{constructor(e){this.modelArtifacts=e}async load(){return this.modelArtifacts}}class hI{constructor(e){this.saveHandler=e}async save(e){return this.saveHandler(e)}}function uI(e,t,n,r){if(arguments.length===1){const o=e.modelTopology!=null||e.weightSpecs!=null;return o?new zh(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new zh({modelTopology:e}))}else return console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new zh({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:r})}function dI(e){return new hI(e)}const Vr={};Re(Vr,{browserFiles:()=>iI,browserHTTPRequest:()=>lI,concatenateArrayBuffers:()=>Ms,copyModel:()=>rf,decodeWeights:()=>Bh,encodeWeights:()=>PS,fromMemory:()=>uI,getLoadHandlers:()=>ZS,getModelArtifactsInfoForJSON:()=>Us,getSaveHandlers:()=>XS,http:()=>Hh,isHTTPScheme:()=>qh,listModels:()=>tf,loadWeights:()=>sI,moveModel:()=>of,registerLoadRouter:()=>JS,registerSaveRouter:()=>KS,removeModel:()=>nf,weightsLoaderFactory:()=>af,withSaveHandler:()=>dI});function mI(e,t,n){const r=u(e,"labels","confusionMatrix"),o=u(t,"predictions","confusionMatrix");f(n==null||n>0&&Number.isInteger(n),()=>`If provided, numClasses must be a positive integer, but got ${n}`),f(r.rank===1,()=>`Expected the rank of labels to be 1, but got ${r.rank}`),f(o.rank===1,()=>`Expected the rank of predictions to be 1, but got ${o.rank}`),f(r.shape[0]===o.shape[0],()=>`Mismatch in the number of examples: ${r.shape[0]} vs. ${o.shape[0]}. Labels and predictions should have the same number of elements.`),f(n>0&&Number.isInteger(n),()=>`numClasses is required to be a positive integer, but got ${n}`);const i=jr(C(r,"int32"),n),a=jr(C(o,"int32"),n),s=K(i);return C(Y(s,a),"int32")}const fI=m({confusionMatrix_:mI});const pf={};Re(pf,{confusionMatrix:()=>fI});const Kr={};Re(Kr,{fromPixels:()=>wI,toPixels:()=>bI});let Jr;function gI(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,r=!1,o=!1,i=!1,a=!1;if(e.data instanceof Uint8Array)n=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)r=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)o=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)i=!0;else if(e.getContext!=null)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(o){const b=2;if(o&&e.readyState<b)throw new Error("The video element has not loaded data yet. Please wait for `loadeddata` event on the <video> element.")}const s=rs(va,g.backendName);if(s!=null){const b={pixels:e},x={numChannels:t};return g.runKernel(va,b,x)}const[c,p]=o?[e.videoWidth,e.videoHeight]:[e.width,e.height];let l;a?l=e.getContext("2d").getImageData(0,0,c,p).data:r||n?l=e.data:(i||o)&&(Jr==null&&(Jr=document.createElement("canvas").getContext("2d")),Jr.canvas.width=c,Jr.canvas.height=p,Jr.drawImage(e,0,0,c,p),l=Jr.getImageData(0,0,c,p).data);let h;if(t===4)h=new Int32Array(l);else{const b=c*p;h=new Int32Array(b*t);for(let x=0;x<b;x++)for(let w=0;w<t;++w)h[x*t+w]=l[x*4+w]}const d=[p,c,t];return er(h,d,"int32")}async function bI(e,t){let n=u(e,"img","toPixels");if(!(e instanceof ee)){const L=n;n=C(L,"int32"),L.dispose()}if(n.rank!==2&&n.rank!==3)throw new Error(`toPixels only supports rank 2 or 3 tensors, got rank ${n.rank}.`);const[r,o]=n.shape.slice(0,2),i=n.rank===2?1:n.shape[2];if(i>4||i===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${i}`);const a=await n.data(),s=In(n),c=dt(n),p=await Promise.all([s.data(),c.data()]),l=p[0],h=p[1],d=l[0],b=h[0];if(s.dispose(),c.dispose(),n.dtype==="float32"){if(d<0||b>1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but got range [${d} - ${b}].`)}else if(n.dtype==="int32"){if(d<0||b>255)throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but got range [${d} - ${b}].`)}else throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);const x=n.dtype==="float32"?255:1,w=new Uint8ClampedArray(o*r*4);for(let L=0;L<r*o;++L){let S,I,N,A;i===1?(S=a[L]*x,I=a[L]*x,N=a[L]*x,A=255):i===3?(S=a[L*3]*x,I=a[L*3+1]*x,N=a[L*3+2]*x,A=255):i===4&&(S=a[L*4]*x,I=a[L*4+1]*x,N=a[L*4+2]*x,A=a[L*4+3]*x);const E=L*4;w[E+0]=Math.round(S),w[E+1]=Math.round(I),w[E+2]=Math.round(N),w[E+3]=Math.round(A)}if(t!=null){t.width=o,t.height=r;const L=t.getContext("2d"),S=new ImageData(w,o,r);L.putImageData(S,0,0)}return n!==e&&n.dispose(),w}const wI=m({fromPixels_:gI});const lf={};Re(lf,{prepareAndValidate:()=>hf});function hf(e,t){if(e.rank<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${e.rank}.`);if(t.rank<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${t.rank}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[t.rank-1]>e.rank)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[t.rank-1]} vs. ${e.rank}`);if(e.size===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);const n=t.shape,r=n[n.length-1];let o=1;for(let p=0;p<n.length-1;++p)o*=n[p];const i=e.shape,a=n.slice();a.pop();let s=1;for(let p=r;p<e.rank;++p)s*=i[p],a.push(i[p]);const c=[...Gt(e.shape).map(p=>p/s),1].slice(0,r);return[a,o,s,c]}const uf={};Re(uf,{Serializable:()=>Yh,SerializationMap:()=>ir,registerClass:()=>nt});class Yh{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}}class ir{constructor(){this.classNameMap={}}static getMap(){return ir.instance==null&&(ir.instance=new ir()),ir.instance}static register(e){ir.getMap().classNameMap[e.className]=[e,e.fromConfig]}}function nt(e){f(e.className!=null,()=>"Class being registered does not have the static className property defined."),f(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),f(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),ir.register(e)}const xI="2.3.0";class ot extends Yh{minimize(e,t=!1,n){const{value:r,grads:o}=this.computeGradients(e,n);if(n!=null){const i=n.map(a=>({name:a.name,tensor:o[a.name]}));this.applyGradients(i)}else this.applyGradients(o);return ve(o),t?r:(r.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return zl(e,t)}dispose(){this.iterations_!=null&&ve(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:_(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}}Object.defineProperty(ot,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});class sr extends ot{constructor(e,t,n=null){super();this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=g.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);t.forEach((n,r)=>{const o=g.registeredVariables[n],i=!1;this.accumulatedGrads[r]==null&&(this.accumulatedGrads[r]={originalName:`${n}/accum_grad`,variable:k(()=>W(o).variable(i))}),this.accumulatedUpdates[r]==null&&(this.accumulatedUpdates[r]={originalName:`${n}/accum_var`,variable:k(()=>W(o).variable(i))});const a=Array.isArray(e)?e[r].tensor:e[n];if(a==null)return;const s=this.accumulatedGrads[r].variable,c=this.accumulatedUpdates[r].variable;k(()=>{const p=R(v(s,this.rho),v(H(a),1-this.rho)),l=v(F(me(R(c,this.epsilon)),me(R(s,this.epsilon))),a),h=R(v(c,this.rho),v(H(l),1-this.rho));s.assign(p),c.assign(h);const d=R(v(l,-this.learningRate),o);o.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(ve(this.accumulatedGrads.map(e=>e.variable)),ve(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){const e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);const t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(r=>({originalName:r.name,variable:r.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(r=>({originalName:r.name,variable:r.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}}sr.className="Adadelta";nt(sr);class ar extends ot{constructor(e,t=.1){super();this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);t.forEach((n,r)=>{const o=g.registeredVariables[n];if(this.accumulatedGrads[r]==null){const s=!1;this.accumulatedGrads[r]={originalName:`${n}/accumulator`,variable:k(()=>Ge(o.shape,this.initialAccumulatorValue).variable(s))}}const i=Array.isArray(e)?e[r].tensor:e[n];if(i==null)return;const a=this.accumulatedGrads[r].variable;k(()=>{const s=R(a,H(i));a.assign(s);const c=R(v(F(i,me(R(s,g.backend.epsilon()))),-this.learningRate),o);o.assign(c)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&ve(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);const t=!1;this.accumulatedGrads=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}}ar.className="Adagrad";nt(ar);class cr extends ot{constructor(e,t,n,r=null){super();this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=r,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],k(()=>{this.accBeta1=_(t).variable(),this.accBeta2=_(n).variable()}),r==null&&(this.epsilon=g.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);k(()=>{const n=O(1,this.accBeta1),r=O(1,this.accBeta2);t.forEach((o,i)=>{const a=g.registeredVariables[o],s=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${o}/m`,variable:k(()=>W(a).variable(s))}),this.accumulatedSecondMoment[i]==null&&(this.accumulatedSecondMoment[i]={originalName:`${o}/v`,variable:k(()=>W(a).variable(s))});const c=Array.isArray(e)?e[i].tensor:e[o];if(c==null)return;const p=this.accumulatedFirstMoment[i].variable,l=this.accumulatedSecondMoment[i].variable,h=R(v(p,this.beta1),v(c,1-this.beta1)),d=R(v(l,this.beta2),v(H(c),1-this.beta2)),b=F(h,n),x=F(d,r);p.assign(h),l.assign(d);const w=R(v(F(b,R(me(x),this.epsilon)),-this.learningRate),a);a.assign(w)}),this.accBeta1.assign(v(this.accBeta1,this.beta1)),this.accBeta2.assign(v(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&ve(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&ve(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){const e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),k(()=>{this.accBeta1.assign(Je(this.beta1,this.iterations_+1)),this.accBeta2.assign(Je(this.beta2,this.iterations_+1))});const t=e.length/2,n=!1;this.accumulatedFirstMoment=e.slice(0,t).map(r=>({originalName:r.name,variable:r.tensor.variable(n)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(r=>({originalName:r.name,variable:r.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}}cr.className="Adam";nt(cr);class pr extends ot{constructor(e,t,n,r=null,o=0){super();this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=r,this.decay=o,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],k(()=>{this.iteration=_(0).variable(),this.accBeta1=_(t).variable()}),r==null&&(this.epsilon=g.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);k(()=>{const n=O(1,this.accBeta1),r=F(-this.learningRate,R(v(this.iteration,this.decay),1));t.forEach((o,i)=>{const a=g.registeredVariables[o],s=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${o}/m`,variable:W(a).variable(s)}),this.accumulatedWeightedInfNorm[i]==null&&(this.accumulatedWeightedInfNorm[i]={originalName:`${o}/v`,variable:W(a).variable(s)});const c=Array.isArray(e)?e[i].tensor:e[o];if(c==null)return;const p=this.accumulatedFirstMoment[i].variable,l=this.accumulatedWeightedInfNorm[i].variable,h=R(v(p,this.beta1),v(c,1-this.beta1)),d=v(l,this.beta2),b=Ee(c),x=kt(d,b);p.assign(h),l.assign(x);const w=R(v(F(r,n),F(h,R(x,this.epsilon))),a);a.assign(w)}),this.iteration.assign(R(this.iteration,1)),this.accBeta1.assign(v(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&ve(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&ve(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}}pr.className="Adamax";nt(pr);class on extends ot{constructor(e){super();this.learningRate=e,this.setLearningRate(e)}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);t.forEach((n,r)=>{const o=Array.isArray(e)?e[r].tensor:e[n];if(o==null)return;const i=g.registeredVariables[n];k(()=>{const a=R(v(this.c,o),i);i.assign(a)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=al(_(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}}on.className="SGD";nt(on);class lr extends on{constructor(e,t,n=!1){super(e);this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=_(this.momentum)}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);t.forEach((n,r)=>{const o=g.registeredVariables[n];if(this.accumulations[r]==null){const s=!1;this.accumulations[r]={originalName:`${n}/momentum`,variable:k(()=>W(o).variable(s))}}const i=this.accumulations[r].variable,a=Array.isArray(e)?e[r].tensor:e[n];if(a==null)return;k(()=>{let s;const c=R(v(this.m,i),a);this.useNesterov?s=R(v(this.c,R(a,v(c,this.m))),o):s=R(v(this.c,c),o),i.assign(c),o.assign(s)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&ve(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);const t=!1;this.accumulations=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}}lr.className="Momentum";nt(lr);class hr extends ot{constructor(e,t=.9,n=0,r=null,o=!1){super();if(this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=r,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=o,r==null&&(this.epsilon=g.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);t.forEach((n,r)=>{const o=g.registeredVariables[n],i=!1;this.accumulatedMeanSquares[r]==null&&(this.accumulatedMeanSquares[r]={originalName:`${n}/rms`,variable:k(()=>W(o).variable(i))}),this.accumulatedMoments[r]==null&&(this.accumulatedMoments[r]={originalName:`${n}/momentum`,variable:k(()=>W(o).variable(i))}),this.accumulatedMeanGrads[r]==null&&this.centered&&(this.accumulatedMeanGrads[r]={originalName:`${n}/mg`,variable:k(()=>W(o).variable(i))});const a=Array.isArray(e)?e[r].tensor:e[n];if(a==null)return;const s=this.accumulatedMeanSquares[r].variable,c=this.accumulatedMoments[r].variable;k(()=>{const p=R(v(s,this.decay),v(H(a),1-this.decay));if(this.centered){const l=this.accumulatedMeanGrads[r].variable,h=R(v(l,this.decay),v(a,1-this.decay)),d=F(v(a,this.learningRate),me(O(p,R(H(h),this.epsilon)))),b=R(v(c,this.momentum),d);s.assign(p),l.assign(h),c.assign(b);const x=O(o,b);o.assign(x)}else{const l=R(v(s,this.decay),v(H(a),1-this.decay)),h=R(v(c,this.momentum),F(v(a,this.learningRate),me(R(l,this.epsilon))));s.assign(l),c.assign(h);const d=O(o,h);o.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&ve(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&ve(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&ve(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){const e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);const t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map(r=>({originalName:r.name,variable:r.tensor.variable(n)})),this.accumulatedMoments=e.slice(t,t*2).map(r=>({originalName:r.name,variable:r.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(r=>({originalName:r.name,variable:r.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}}hr.className="RMSProp";nt(hr);class Tn{static sgd(e){return new on(e)}static momentum(e,t,n=!1){return new lr(e,t,n)}static rmsprop(e,t=.9,n=0,r=null,o=!1){return new hr(e,t,n,r,o)}static adam(e=.001,t=.9,n=.999,r=null){return new cr(e,t,n,r)}static adadelta(e=.001,t=.95,n=null){return new sr(e,t,n)}static adamax(e=.002,t=.9,n=.999,r=null,o=0){return new pr(e,t,n,r,o)}static adagrad(e,t=.1){return new ar(e,t)}}lr,on,sr,ar,hr,pr,cr;const yI={sgd:Tn.sgd,momentum:Tn.momentum,adadelta:Tn.adadelta,adagrad:Tn.adagrad,rmsprop:Tn.rmsprop,adamax:Tn.adamax,adam:Tn.adam};const LI=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function vI(){return new Promise(e=>LI(()=>e()))}function SI(e,t,n){const r=n*(typeof e=="number"?e:e[0]),o=t*(typeof e=="number"?e:e[1]);return[r,o]}function II(e,t,n,r=!0){let o=[];if(r)o=o.concat(t.slice(0)),o.push(e[0]/n),o=o.concat(e.slice(1));else{o=o.concat(e[0]);const i=t.length;for(let a=0;a<i;++a)o=o.concat([e[a+1]/t[a],t[a]]);o=o.concat(e.slice(i+1))}return o}function TI(e,t,n=!0){const r=[];if(n){r.push(t);for(let o=t+1;o<e;++o)o<=2*t?(r.push(o),r.push(o-(t+1))):r.push(o)}else{const o=[],i=[];for(let a=1;a<e;++a)a>=t*2+1||a%2===1?i.push(a):o.push(a);r.push(...o),r.push(0),r.push(...i)}return r}function AI(e,t,n,r=!0){const o=[];r?o.push(e[0]/n):o.push(e[0]*n);for(let i=1;i<e.length;++i)i<=t.length?r?o.push(t[i-1]*e[i]):o.push(e[i]/t[i-1]):o.push(e[i]);return o}function NI(e,t){const n=[0];for(let r=0;r<t;++r)n.push(e[r][0]);return n}function RI(e,t,n){const r=e.slice(0,1);for(let o=0;o<n;++o)r.push(e[o+1]-t[o][0]-t[o][1]);return r}const Vh=1.7580993408473768,Kh=1.0507009873554805;const _I=.3275911,CI=.254829592,EI=-.284496736,OI=1.421413741,kI=-1.453152027,DI=1.061405429;function FI(...e){pe().getBool("IS_TEST")||console.warn(...e)}function MI(...e){pe().getBool("IS_TEST")||console.log(...e)}function UI(e,t){if(e.length!==t.length)throw new Error(`Cannot merge real and imag arrays of different lengths. real:${e.length}, imag: ${t.length}.`);const n=new Float32Array(e.length*2);for(let r=0;r<n.length;r+=2)n[r]=e[r/2],n[r+1]=t[r/2];return n}function WI(e){const t=new Float32Array(e.length/2),n=new Float32Array(e.length/2);for(let r=0;r<e.length;r+=2)t[r/2]=e[r],n[r/2]=e[r+1];return{real:t,imag:n}}function BI(e){const t=Math.ceil(e.length/4),n=new Float32Array(t),r=new Float32Array(t);for(let o=0;o<e.length;o+=4)n[Math.floor(o/4)]=e[o],r[Math.floor(o/4)]=e[o+1];return{real:n,imag:r}}function $I(e){const t=Math.floor(e.length/4),n=new Float32Array(t),r=new Float32Array(t);for(let o=2;o<e.length;o+=4)n[Math.floor(o/4)]=e[o],r[Math.floor(o/4)]=e[o+1];return{real:n,imag:r}}function jI(e,t){const n=e[t*2],r=e[t*2+1];return{real:n,imag:r}}function GI(e,t,n,r){e[r*2]=t,e[r*2+1]=n}function PI(e,t){const n=new Float32Array(e/2),r=new Float32Array(e/2);for(let o=0;o<Math.ceil(e/2);o++){const i=(t?2:-2)*Math.PI*(o/e);n[o]=Math.cos(i),r[o]=Math.sin(i)}return{real:n,imag:r}}function qI(e,t,n){const r=(n?2:-2)*Math.PI*(e/t),o=Math.cos(r),i=Math.sin(r);return{real:o,imag:i}}const df={};Re(df,{ERF_A1:()=>CI,ERF_A2:()=>EI,ERF_A3:()=>OI,ERF_A4:()=>kI,ERF_A5:()=>DI,ERF_P:()=>_I,PARALLELIZE_THRESHOLD:()=>Da,SELU_SCALE:()=>Kh,SELU_SCALEALPHA:()=>Vh,applyActivation:()=>rr,assertAndGetBroadcastShape:()=>q,assertAxesAreInnerMostDims:()=>zw,assertParamsConsistent:()=>pl,assignToTypedArray:()=>GI,axesAreInnerMostDims:()=>Vp,calculateShapes:()=>mm,castTensor:()=>HI,combineLocations:()=>Bd,complexWithEvenIndex:()=>BI,complexWithOddIndex:()=>$I,computeConv2DInfo:()=>je,computeConv3DInfo:()=>Ln,computeDefaultPad:()=>sl,computeDilation2DInfo:()=>ix,computeOptimalWindowSize:()=>_y,computeOutAndReduceShapes:()=>Kp,computeOutShape:()=>ll,computePool2DInfo:()=>_t,computePool3DInfo:()=>Qt,convertConv2DDataFormat:()=>yn,eitherStridesOrDilationsAreOne:()=>le,expandShapeToKeepDim:()=>we,exponent:()=>qI,exponents:()=>PI,getAxesPermutation:()=>ge,getBroadcastDims:()=>my,getComplexWithIndex:()=>jI,getFusedBiasGradient:()=>nr,getFusedDyActivation:()=>tr,getImageCenter:()=>SI,getInnerMostAxes:()=>De,getPermuted:()=>TI,getReductionAxes:()=>ae,getReshaped:()=>II,getReshapedPermuted:()=>AI,getSliceBeginCoords:()=>NI,getSliceSize:()=>RI,getUndoAxesPermutation:()=>Un,linspaceImpl:()=>YI,log:()=>MI,mergeRealAndImagArrays:()=>UI,prepareAndValidate:()=>hf,prepareSplitSize:()=>yh,reshapeTensor:()=>zI,segment_util:()=>qd,shouldFuse:()=>or,splitRealAndImagArrays:()=>WI,tupleValuesAreOne:()=>ct,upcastType:()=>Mr,validateInput:()=>Ba,validateUpdateShape:()=>Fh,warn:()=>FI});function HI(e,t,n){if(t==="complex64"){if(e.dtype==="complex64")return e.clone();const r=Ce(e.shape),o=C(e,"float32"),i=n.complex(o,r);return r.dispose(),o.dispose(),i}if(!kp(e.dtype,t))return g.makeTensorFromDataId(e.dataId,e.shape,t);if(e.dtype==="complex64"){const r=n.real(e),o=C(r,t);return r.dispose(),o}if(t==="int32")return n.int(e);if(t==="bool"){const r=_(0,e.dtype),o=n.notEqual(e,r);return r.dispose(),o}else throw new Error(`Error in Cast: failed to cast ${e.dtype} to ${t}`)}function zI(e,t){return g.makeTensorFromDataId(e.dataId,t,e.dtype)}function YI(e,t,n){const r=(t-e)/(n-1),o=Pt(n,"float32");o[0]=e;for(let i=1;i<o.length;i++)o[i]=o[i-1]+r;return ce(o,"float32")}function mf(e,t,n){const r=new Array(e.rank).fill(0),o=e.shape.slice();return t.map(i=>{const a=[...o];a[n]=i;const s=G(e,r,a);return r[n]+=i,s})}function ff(e,t){const n=new Array(e.rank);for(let o=0;o<n.length;o++)n[o]=e.shape[o]*t[o];const r=Be(n,e.dtype);for(let o=0;o<r.values.length;++o){const i=r.indexToLoc(o),a=new 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n=t.length-1;n>0;n--){const r=Math.floor(Math.random()*(n+1)),o=t[n];t[n]=t[r],t[r]=o}return t}function Lr(e){return 1/(1+Math.exp(-e))}function $u(e){return Math.log(e/(1-e))}class Ar extends de{constructor(e,t,n,r,o=!1){super({x:e,y:t,width:n,height:r},o)}}const aT=.5,cT=.43,pT=.45;class st{constructor(e,t,n=new J(0,0)){const{width:r,height:o}=t;this._imgDims=new Qe(r,o),this._shift=n,this._positions=e.map(i=>i.mul(new J(r,o)).add(n))}get shift(){return new J(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(e=>e.sub(this._shift).div(new J(this.imageWidth,this.imageHeight)))}forSize(e,t){return new this.constructor(this.relativePositions,{width:e,height:t})}shiftBy(e,t){return new this.constructor(this.relativePositions,this._imgDims,new J(e,t))}shiftByPoint(e){return this.shiftBy(e.x,e.y)}align(e,t={}){if(e){const o=e instanceof fe?e.box.floor():new de(e);return this.shiftBy(o.x,o.y).align(null,t)}const{useDlibAlignment:n,minBoxPadding:r}=Object.assign({},{useDlibAlignment:!1,minBoxPadding:.2},t);return n?this.alignDlib():this.alignMinBbox(r)}alignDlib(){const e=this.getRefPointsForAlignment(),[t,n,r]=e,o=l=>r.sub(l).magnitude(),i=(o(t)+o(n))/2,a=Math.floor(i/pT),s=mr(e),c=Math.floor(Math.max(0,s.x-aT*a)),p=Math.floor(Math.max(0,s.y-cT*a));return new Ar(c,p,Math.min(a,this.imageWidth+c),Math.min(a,this.imageHeight+p))}alignMinBbox(e){const t=na(this.positions);return t.pad(t.width*e,t.height*e)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}}class md extends st{getRefPointsForAlignment(){const e=this.positions;return[e[0],e[1],mr([e[3],e[4]])]}}class Nr extends st{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(mr)}}class wo{constructor(e,t){this._label=e,this._distance=t}get label(){return this._label}get distance(){return this._distance}toString(e=!0){return`${this.label}${e?` (${dr(this.distance)})`:""}`}}class bo extends de{constructor(e,t){super(e);this._label=t}static assertIsValidLabeledBox(e,t){if(de.assertIsValidBox(e,t),!Mt(e.label))throw new Error(`${t} - expected property label (${e.label}) to be a number`)}get label(){return this._label}}class xn{constructor(e,t){if(!(typeof e=="string"))throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(t)||t.some(n=>!(n instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=e,this._descriptors=t}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(e=>Array.from(e))}}static fromJSON(e){const t=e.descriptors.map(n=>new Float32Array(n));return new xn(e.label,t)}}class dd extends bo{constructor(e,t,n,r){super(e,t);this._score=n,this._classScore=r}static assertIsValidPredictedBox(e,t){if(bo.assertIsValidLabeledBox(e,t),!Xr(e.score)||!Xr(e.classScore))throw new Error(`${t} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}}function Nt(e){return e.detection instanceof fe}function mn(e,t){const n={detection:t};return Object.assign({},e,n)}function ru(){const e=window.fetch||function(){throw new Error("fetch - missing fetch implementation for browser environment")},t=function(){throw new Error("readFile - filesystem not available for browser environment")};return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),fetch:e,readFile:t}}function ec(e){let t="";if(!e)try{e=require("fs")}catch(r){t=r.toString()}const n=e?function(r){return new Promise((o,i)=>{e.readFile(r,function(a,s){return a?i(a):o(s)})})}:function(){throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)};return{readFile:n}}function ou(){const e=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,n=function(){if(e)return new e();throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},r=function(){if(t)return new t();throw new Error("createImageElement - missing Image implementation for nodejs environment")},o=global.fetch||function(){throw new Error("fetch - missing fetch implementation for nodejs environment")},i=ec();return zs({Canvas:e||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:n,createImageElement:r,fetch:o},i)}function iu(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}const su=fu(ku());let Fe;function lT(){if(!Fe)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return Fe}function au(e){Fe=e}function cu(){if(iu())return au(ru());if(su.isNodejs())return au(ou())}function hT(e){if(Fe||cu(),!Fe)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");const{Canvas:t=Fe.Canvas,Image:n=Fe.Image}=e;Fe.Canvas=t,Fe.Image=n,Fe.createCanvasElement=e.createCanvasElement||(()=>new t()),Fe.createImageElement=e.createImageElement||(()=>new n()),Fe.ImageData=e.ImageData||Fe.ImageData,Fe.Video=e.Video||Fe.Video,Fe.fetch=e.fetch||Fe.fetch,Fe.readFile=e.readFile||Fe.readFile}const se={getEnv:lT,setEnv:au,initialize:cu,createBrowserEnv:ru,createFileSystem:ec,createNodejsEnv:ou,monkeyPatch:hT,isBrowser:iu,isNodejs:su.isNodejs};cu();function gn(e){return!se.isNodejs()&&typeof e=="string"?document.getElementById(e):e}function qe(e){const{Canvas:t,CanvasRenderingContext2D:n}=se.getEnv();if(e instanceof n)return e;const r=gn(e);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");const o=r.getContext("2d");if(!o)throw new Error("resolveContext2d - canvas 2d context is null");return o}var Kt;(function(e){e.TOP_LEFT="TOP_LEFT",e.TOP_RIGHT="TOP_RIGHT",e.BOTTOM_LEFT="BOTTOM_LEFT",e.BOTTOM_RIGHT="BOTTOM_RIGHT"})(Kt||(Kt={}));class tc{constructor(e={}){const{anchorPosition:t,backgroundColor:n,fontColor:r,fontSize:o,fontStyle:i,padding:a}=e;this.anchorPosition=t||Kt.TOP_LEFT,this.backgroundColor=n||"rgba(0, 0, 0, 0.5)",this.fontColor=r||"rgba(255, 255, 255, 1)",this.fontSize=o||14,this.fontStyle=i||"Georgia",this.padding=a||4}}class Zr{constructor(e,t,n={}){this.text=typeof e=="string"?[e]:e instanceof Zr?e.text:e,this.anchor=t,this.options=new tc(n)}measureWidth(e){const{padding:t}=this.options;return this.text.map(n=>e.measureText(n).width).reduce((n,r)=>n<r?r:n,0)+2*t}measureHeight(){const{fontSize:e,padding:t}=this.options;return this.text.length*e+2*t}getUpperLeft(e,t){const{anchorPosition:n}=this.options,r=n===Kt.BOTTOM_RIGHT||n===Kt.TOP_RIGHT,o=n===Kt.BOTTOM_LEFT||n===Kt.BOTTOM_RIGHT,i=this.measureWidth(e),a=this.measureHeight(),s=r?this.anchor.x-i:this.anchor.x,c=o?this.anchor.y-a:this.anchor.y;if(t){const{width:p,height:l}=t,h=Math.max(Math.min(s,p-i),0),d=Math.max(Math.min(c,l-a),0);return{x:h,y:d}}return{x:s,y:c}}draw(e){const t=gn(e),n=qe(t),{backgroundColor:r,fontColor:o,fontSize:i,fontStyle:a,padding:s}=this.options;n.font=`${i}px ${a}`;const c=this.measureWidth(n),p=this.measureHeight();n.fillStyle=r;const l=this.getUpperLeft(n,t);n.fillRect(l.x,l.y,c,p),n.fillStyle=o,this.text.forEach((h,d)=>{const b=s+l.x,x=s+l.y+(d+1)*i;n.fillText(h,b,x)})}}class cb{constructor(e={}){const{boxColor:t,lineWidth:n,label:r,drawLabelOptions:o}=e;this.boxColor=t||"rgba(0, 0, 255, 1)",this.lineWidth=n||2,this.label=r;const i={anchorPosition:Kt.BOTTOM_LEFT,backgroundColor:this.boxColor};this.drawLabelOptions=new tc(Object.assign({},i,o))}}class pu{constructor(e,t={}){this.box=new de(e),this.options=new cb(t)}draw(e){const t=qe(e),{boxColor:n,lineWidth:r}=this.options,{x:o,y:i,width:a,height:s}=this.box;t.strokeStyle=n,t.lineWidth=r,t.strokeRect(o,i,a,s);const{label:c}=this.options;c&&new Zr([c],{x:o-r/2,y:i},this.options.drawLabelOptions).draw(e)}}function uT(e,t){const n=Array.isArray(t)?t:[t];n.forEach(r=>{const o=r instanceof fe?r.score:Nt(r)?r.detection.score:void 0,i=r instanceof fe?r.box:Nt(r)?r.detection.box:new de(r),a=o?`${dr(o)}`:void 0;new pu(i,{label:a}).draw(e)})}function Ir(e){const{Image:t,Video:n}=se.getEnv();return e instanceof t&&e.complete||e instanceof n&&e.readyState>=3}function ya(e){return new Promise((t,n)=>{if(e instanceof se.getEnv().Canvas||Ir(e))return t();function r(i){if(!i.currentTarget)return;i.currentTarget.removeEventListener("load",r),i.currentTarget.removeEventListener("error",o),t(i)}function o(i){if(!i.currentTarget)return;i.currentTarget.removeEventListener("load",r),i.currentTarget.removeEventListener("error",o),n(i)}e.addEventListener("load",r),e.addEventListener("error",o)})}function xa(e){return new Promise((t,n)=>{if(!(e instanceof Blob))return n("bufferToImage - expected buf to be of type: Blob");const r=new FileReader();r.onload=()=>{if(typeof r.result!="string")return n("bufferToImage - expected reader.result to be a string, in onload");const o=se.getEnv().createImageElement();o.onload=()=>t(o),o.onerror=n,o.src=r.result},r.onerror=n,r.readAsDataURL(e)})}function bn(e){const{Image:t,Video:n}=se.getEnv();return e instanceof t?new Qe(e.naturalWidth,e.naturalHeight):e instanceof n?new Qe(e.videoWidth,e.videoHeight):new Qe(e.width,e.height)}function En({width:e,height:t}){const{createCanvasElement:n}=se.getEnv(),r=n();return r.width=e,r.height=t,r}function Tr(e,t){const{ImageData:n}=se.getEnv();if(!(e instanceof n)&&!Ir(e))throw new Error("createCanvasFromMedia - media has not finished loading yet");const{width:r,height:o}=t||bn(e),i=En({width:r,height:o});return e instanceof n?qe(i).putImageData(e,0,0):qe(i).drawImage(e,0,0,r,o),i}async function ba(e,t){const n=t||se.getEnv().createCanvasElement(),[r,o,i]=e.shape.slice(gt(e)?1:0),a=k(()=>e.as3D(r,o,i).toInt());return await Kr.toPixels(a,n),a.dispose(),n}function go(e){const{Image:t,Canvas:n,Video:r}=se.getEnv();return e instanceof t||e instanceof n||e instanceof r}function ga(e,t,n=!1){const{Image:r,Canvas:o}=se.getEnv();if(!(e instanceof r||e instanceof o))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");const i=bn(e),a=t/Math.max(i.height,i.width),s=a*i.width,c=a*i.height,p=En({width:t,height:t}),l=e instanceof o?e:Tr(e),h=Math.abs(s-c)/2,d=n&&s<c?h:0,b=n&&c<s?h:0;return qe(p).drawImage(l,d,b,s,c),p}class Jt{constructor(e,t=!1){if(this._imageTensors=[],this._canvases=[],this._treatAsBatchInput=!1,this._inputDimensions=[],!Array.isArray(e))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${e}`);this._treatAsBatchInput=t,this._batchSize=e.length,e.forEach((n,r)=>{if(an(n)){this._imageTensors[r]=n,this._inputDimensions[r]=n.shape;return}if(gt(n)){const i=n.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[r]=n,this._inputDimensions[r]=n.shape.slice(1);return}const o=n instanceof se.getEnv().Canvas?n:Tr(n);this._canvases[r]=o,this._inputDimensions[r]=[o.height,o.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return Vt(this.batchSize,0,1).map((e,t)=>this.getReshapedInputDimensions(t))}getInput(e){return this.canvases[e]||this.imageTensors[e]}getInputDimensions(e){return this._inputDimensions[e]}getInputHeight(e){return this._inputDimensions[e][0]}getInputWidth(e){return this._inputDimensions[e][1]}getReshapedInputDimensions(e){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");const t=this.getInputWidth(e),n=this.getInputHeight(e);return nu({width:t,height:n},this.inputSize)}toBatchTensor(e,t=!0){return this._inputSize=e,k(()=>{const n=Vt(this.batchSize,0,1).map(o=>{const i=this.getInput(o);if(i instanceof ee){let a=gt(i)?i:i.expandDims();return a=ea(a,t),(a.shape[1]!==e||a.shape[2]!==e)&&(a=Va.resizeBilinear(a,[e,e])),a.as3D(e,e,3)}if(i instanceof se.getEnv().Canvas)return Kr.fromPixels(ga(i,e,t));throw new Error(`toBatchTensor - at batchIdx ${o}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)}),r=ke(n.map(o=>o.toFloat())).as4D(this.batchSize,e,e,3);return r})}}async function ue(e){if(e instanceof Jt)return e;let t=Array.isArray(e)?e:[e];if(!t.length)throw new Error("toNetInput - empty array passed as input");const n=o=>Array.isArray(e)?` at input index ${o}:`:"",r=t.map(gn);return r.forEach((o,i)=>{if(!go(o)&&!an(o)&&!gt(o))throw typeof t[i]=="string"?new Error(`toNetInput -${n(i)} string passed, but could not resolve HTMLElement for element id ${t[i]}`):new Error(`toNetInput -${n(i)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(gt(o)){const a=o.shape[0];if(a!==1)throw new Error(`toNetInput -${n(i)} tf.Tensor4D with batchSize ${a} passed, but not supported in input array`)}}),await Promise.all(r.map(o=>go(o)&&ya(o))),new Jt(r,Array.isArray(e))}async function _n(e,t){const{Canvas:n}=se.getEnv();let r=e;if(!(e instanceof n)){const a=await ue(e);if(a.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");const s=a.getInput(0);r=s instanceof n?s:await ba(s)}const o=qe(r),i=t.map(a=>a instanceof fe?a.forSize(r.width,r.height).box.floor():a).map(a=>a.clipAtImageBorders(r.width,r.height));return i.map(({x:a,y:s,width:c,height:p})=>{const l=En({width:c,height:p});return qe(l).putImageData(o.getImageData(a,s,c,p),0,0),l})}async function Cn(e,t){if(!an(e)&&!gt(e))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(gt(e)&&e.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return k(()=>{const[n,r,o]=e.shape.slice(gt(e)?1:0),i=t.map(s=>s instanceof fe?s.forSize(r,n).box:s).map(s=>s.clipAtImageBorders(r,n)),a=i.map(({x:s,y:c,width:p,height:l})=>Os(e.as3D(n,r,o),[c,s,0],[l,p,o]));return a})}async function wn(e,t){const n=se.getEnv().fetch,r=await n(e,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function ud(e){const t=await wn(e),n=await t.blob();if(!n.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${n.type}, for url: ${t.url}`);return xa(n)}async function wa(e){return(await wn(e)).json()}async function hd(e){return new Float32Array(await(await wn(e)).arrayBuffer())}function nc(e,t){const n=`${t}-weights_manifest.json`;if(!e)return{modelBaseUri:"",manifestUri:n};if(e==="/")return{modelBaseUri:"/",manifestUri:`/${n}`};const r=e.startsWith("http://")?"http://":e.startsWith("https://")?"https://":"";e=e.replace(r,"");const o=e.split("/").filter(s=>s),i=e.endsWith(".json")?o[o.length-1]:n;let a=r+(e.endsWith(".json")?o.slice(0,o.length-1):o).join("/");return a=e.startsWith("/")?`/${a}`:a,{modelBaseUri:a,manifestUri:a==="/"?`/${i}`:`${a}/${i}`}}async function fa(e,t){const{manifestUri:n,modelBaseUri:r}=nc(e,t);let o=await wa(n);return Vr.loadWeights(o,r)}function ld(e,t,n=!1){const{width:r,height:o}=n?bn(t):t;return e.width=r,e.height=o,{width:r,height:o}}class Ue{constructor(e){this._name=e,this._params=void 0,this._paramMappings=[]}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(e){const{obj:t,objProp:n}=this.traversePropertyPath(e);return t[n]}reassignParamFromPath(e,t){const{obj:n,objProp:r}=this.traversePropertyPath(e);n[r].dispose(),n[r]=t}getParamList(){return this._paramMappings.map(({paramPath:e})=>({path:e,tensor:this.getParamFromPath(e)}))}getTrainableParams(){return this.getParamList().filter(e=>e.tensor instanceof Ht)}getFrozenParams(){return this.getParamList().filter(e=>!(e.tensor instanceof Ht))}variable(){this.getFrozenParams().forEach(({path:e,tensor:t})=>{this.reassignParamFromPath(e,t.variable())})}freeze(){this.getTrainableParams().forEach(({path:e,tensor:t})=>{const n=ze(t.dataSync());t.dispose(),this.reassignParamFromPath(e,n)})}dispose(e=!0){this.getParamList().forEach(t=>{if(e&&t.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${t.path}`);t.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:e})=>Array.from(e.dataSync())).reduce((e,t)=>e.concat(t)))}async load(e){if(e instanceof Float32Array){this.extractWeights(e);return}await this.loadFromUri(e)}async loadFromUri(e){if(e&&typeof e!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);const t=await fa(e,this.getDefaultModelName());this.loadFromWeightMap(t)}async loadFromDisk(e){if(e&&typeof e!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);const{readFile:t}=se.getEnv(),{manifestUri:n,modelBaseUri:r}=nc(e,this.getDefaultModelName()),o=c=>Promise.all(c.map(p=>t(p).then(l=>l.buffer))),i=Vr.weightsLoaderFactory(o),a=JSON.parse((await t(n)).toString()),s=await i(a,r);this.loadFromWeightMap(s)}loadFromWeightMap(e){const{paramMappings:t,params:n}=this.extractParamsFromWeigthMap(e);this._paramMappings=t,this._params=n}extractWeights(e){const{paramMappings:t,params:n}=this.extractParams(e);this._paramMappings=t,this._params=n}traversePropertyPath(e){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");const t=e.split("/").reduce((o,i)=>{if(!o.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${e}`);return{obj:o.nextObj,objProp:i,nextObj:o.nextObj[i]}},{nextObj:this.params}),{obj:n,objProp:r}=t;if(!n||!r||!(n[r]instanceof ee))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${e}`);return{obj:n,objProp:r}}}function rt(e,t,n){return k(()=>{let r=Xn(e,t.depthwise_filter,t.pointwise_filter,n,"same");return r=R(r,t.bias),r})}function rc(e,t,n=!1){return k(()=>{const r=ie(n?R(xe(e,t.conv0.filters,[2,2],"same"),t.conv0.bias):rt(e,t.conv0,[2,2])),o=rt(r,t.conv1,[1,1]),i=ie(R(r,o)),a=rt(i,t.conv2,[1,1]);return ie(R(r,R(o,a)))})}function Ws(e,t,n=!1,r=!0){return k(()=>{const o=ie(n?R(xe(e,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):rt(e,t.conv0,r?[2,2]:[1,1])),i=rt(o,t.conv1,[1,1]),a=ie(R(o,i)),s=rt(a,t.conv2,[1,1]),c=ie(R(o,R(i,s))),p=rt(c,t.conv3,[1,1]);return ie(R(o,R(i,R(s,p))))})}function fr(e,t,n="same",r=!1){return k(()=>{const o=R(xe(e,t.filters,[1,1],n),t.bias);return r?ie(o):o})}function Xe(e,t){Object.keys(e).forEach(n=>{t.some(r=>r.originalPath===n)||e[n].dispose()})}function Qr(e,t){return function(n,r,o,i){const a=ft(e(n*r*o*o),[o,o,n,r]),s=ce(e(r));return t.push({paramPath:`${i}/filters`},{paramPath:`${i}/bias`}),{filters:a,bias:s}}}function oc(e,t){return function(n,r,o){const i=mt(e(n*r),[n,r]),a=ce(e(r));return t.push({paramPath:`${o}/weights`},{paramPath:`${o}/bias`}),{weights:i,bias:a}}}class lu{constructor(e,t,n){this.depthwise_filter=e,this.pointwise_filter=t,this.bias=n}}function eo(e,t){return function(n,r,o){const i=ft(e(3*3*n),[3,3,n,1]),a=ft(e(n*r),[1,1,n,r]),s=ce(e(r));return t.push({paramPath:`${o}/depthwise_filter`},{paramPath:`${o}/pointwise_filter`},{paramPath:`${o}/bias`}),new lu(i,a,s)}}function to(e){return function(t){const n=e(`${t}/depthwise_filter`,4),r=e(`${t}/pointwise_filter`,4),o=e(`${t}/bias`,1);return new lu(n,r,o)}}function it(e,t){return function(n,r,o){const i=e[n];if(!ur(i,r))throw new Error(`expected weightMap[${n}] to be a Tensor${r}D, instead have ${i}`);return t.push({originalPath:n,paramPath:o||n}),i}}function Ze(e){let t=e;function n(o){const i=t.slice(0,o);return t=t.slice(o),i}function r(){return t}return{extractWeights:n,getRemainingWeights:r}}function ic(e,t){const n=Qr(e,t),r=eo(e,t);function o(a,s,c,p=!1){const l=p?n(a,s,3,`${c}/conv0`):r(a,s,`${c}/conv0`),h=r(s,s,`${c}/conv1`),d=r(s,s,`${c}/conv2`);return{conv0:l,conv1:h,conv2:d}}function i(a,s,c,p=!1){const{conv0:l,conv1:h,conv2:d}=o(a,s,c,p),b=r(s,s,`${c}/conv3`);return{conv0:l,conv1:h,conv2:d,conv3:b}}return{extractDenseBlock3Params:o,extractDenseBlock4Params:i}}function pb(e){const t=[],{extractWeights:n,getRemainingWeights:r}=Ze(e),{extractDenseBlock4Params:o}=ic(n,t),i=o(3,32,"dense0",!0),a=o(32,64,"dense1"),s=o(64,128,"dense2"),c=o(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:i,dense1:a,dense2:s,dense3:c}}}function sc(e){return function(t){const n=e(`${t}/filters`,4),r=e(`${t}/bias`,1);return{filters:n,bias:r}}}function ac(e,t){const n=it(e,t),r=sc(n),o=to(n);function i(s,c=!1){const p=c?r(`${s}/conv0`):o(`${s}/conv0`),l=o(`${s}/conv1`),h=o(`${s}/conv2`);return{conv0:p,conv1:l,conv2:h}}function a(s,c=!1){const p=c?r(`${s}/conv0`):o(`${s}/conv0`),l=o(`${s}/conv1`),h=o(`${s}/conv2`),d=o(`${s}/conv3`);return{conv0:p,conv1:l,conv2:h,conv3:d}}return{extractDenseBlock3Params:i,extractDenseBlock4Params:a}}function lb(e){const t=[],{extractDenseBlock4Params:n}=ac(e,t),r={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return Xe(e,t),{params:r,paramMappings:t}}class cc extends Ue{constructor(){super("FaceFeatureExtractor")}forwardInput(e){const{params:t}=this;if(!t)throw new Error("FaceFeatureExtractor - load model before inference");return k(()=>{const n=e.toBatchTensor(112,!0),r=[122.782,117.001,104.298],o=wt(n,r).div(_(255));let i=Ws(o,t.dense0,!0);return i=Ws(i,t.dense1),i=Ws(i,t.dense2),i=Ws(i,t.dense3),i=pt(i,[7,7],[2,2],"valid"),i})}async forward(e){return this.forwardInput(await ue(e))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeigthMap(e){return lb(e)}extractParams(e){return pb(e)}}function Bs(e,t){return k(()=>R(Y(e,t.weights),t.bias))}function hb(e,t,n){const r=[],{extractWeights:o,getRemainingWeights:i}=Ze(e),a=oc(o,r),s=a(t,n,"fc");if(i().length!==0)throw new Error(`weights remaing after extract: ${i().length}`);return{paramMappings:r,params:{fc:s}}}function ub(e){const t=[],n=it(e,t);function r(i){const a=n(`${i}/weights`,2),s=n(`${i}/bias`,1);return{weights:a,bias:s}}const o={fc:r("fc")};return Xe(e,t),{params:o,paramMappings:t}}function pc(e){const t={},n={};return Object.keys(e).forEach(r=>{const o=r.startsWith("fc")?n:t;o[r]=e[r]}),{featureExtractorMap:t,classifierMap:n}}class lc extends Ue{constructor(e,t){super(e);this._faceFeatureExtractor=t}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){const{params:t}=this;if(!t)throw new Error(`${this._name} - load model before inference`);return k(()=>{const n=e instanceof Jt?this.faceFeatureExtractor.forwardInput(e):e;return Bs(n.as2D(n.shape[0],-1),t.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){const{params:t,paramMappings:n}=this.extractClassifierParams(e);this._params=t,this._paramMappings=n}extractClassifierParams(e){return hb(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeigthMap(e){const{featureExtractorMap:t,classifierMap:n}=pc(e);return this.faceFeatureExtractor.loadFromWeightMap(t),ub(n)}extractParams(e){const t=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),r=n*t+n,o=e.slice(0,e.length-r),i=e.slice(e.length-r);return this.faceFeatureExtractor.extractWeights(o),this.extractClassifierParams(i)}}const ua=["neutral","happy","sad","angry","fearful","disgusted","surprised"];class fn{constructor(e){if(e.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${e.length}`);ua.forEach((t,n)=>{this[t]=e[n]})}asSortedArray(){return ua.map(e=>({expression:e,probability:this[e]})).sort((e,t)=>t.probability-e.probability)}}class da extends lc{constructor(e=new cc()){super("FaceExpressionNet",e)}forwardInput(e){return k(()=>rn(this.runNet(e)))}async forward(e){return this.forwardInput(await ue(e))}async predictExpressions(e){const t=await ue(e),n=await this.forwardInput(t),r=await Promise.all(Ie(n).map(async i=>{const a=await i.data();return i.dispose(),a}));n.dispose();const o=r.map(i=>new fn(i));return t.isBatchInput?o:o[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}}function la(e){return e.expressions instanceof fn}function uo(e,t){const n={expressions:t};return Object.assign({},e,n)}function dT(e,t,n=.1,r){const o=Array.isArray(t)?t:[t];o.forEach(i=>{const a=i instanceof fn?i:la(i)?i.expressions:void 0;if(!a)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");const s=a.asSortedArray(),c=s.filter(h=>h.probability>n),p=Nt(i)?i.detection.box.bottomLeft:r||new J(0,0),l=new Zr(c.map(h=>`${h.expression} (${dr(h.probability)})`),p);l.draw(e)})}function dn(e){return Nt(e)&&e.landmarks instanceof st&&e.unshiftedLandmarks instanceof st&&e.alignedRect instanceof fe}function Rn(e,t){const{box:n}=e.detection,r=t.shiftBy(n.x,n.y),o=r.align(),{imageDims:i}=e.detection,a=new fe(e.detection.score,o.rescale(i.reverse()),i),s={landmarks:r,unshiftedLandmarks:t,alignedRect:a};return Object.assign({},e,s)}class db{constructor(e={}){const{drawLines:t=!0,drawPoints:n=!0,lineWidth:r,lineColor:o,pointSize:i,pointColor:a}=e;this.drawLines=t,this.drawPoints=n,this.lineWidth=r||1,this.pointSize=i||2,this.lineColor=o||"rgba(0, 255, 255, 1)",this.pointColor=a||"rgba(255, 0, 255, 1)"}}class mb{constructor(e,t={}){this.faceLandmarks=e,this.options=new db(t)}draw(e){const t=qe(e),{drawLines:n,drawPoints:r,lineWidth:o,lineColor:i,pointSize:a,pointColor:s}=this.options;if(n&&this.faceLandmarks instanceof Nr&&(t.strokeStyle=i,t.lineWidth=o,sn(t,this.faceLandmarks.getJawOutline()),sn(t,this.faceLandmarks.getLeftEyeBrow()),sn(t,this.faceLandmarks.getRightEyeBrow()),sn(t,this.faceLandmarks.getNose()),sn(t,this.faceLandmarks.getLeftEye(),!0),sn(t,this.faceLandmarks.getRightEye(),!0),sn(t,this.faceLandmarks.getMouth(),!0)),r){t.strokeStyle=s,t.fillStyle=s;const c=p=>{t.beginPath(),t.arc(p.x,p.y,a,0,2*Math.PI),t.fill()};this.faceLandmarks.positions.forEach(c)}}}function mT(e,t){const n=Array.isArray(t)?t:[t];n.forEach(r=>{const o=r instanceof st?r:dn(r)?r.landmarks:void 0;if(!o)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks<WithFaceDetection<{}>> or array thereof");new mb(o).draw(e)})}const Ks={};Re(Ks,{AnchorPosition:()=>Kt,DrawBox:()=>pu,DrawBoxOptions:()=>cb,DrawFaceLandmarks:()=>mb,DrawFaceLandmarksOptions:()=>db,DrawTextField:()=>Zr,DrawTextFieldOptions:()=>tc,drawContour:()=>sn,drawDetections:()=>uT,drawFaceExpressions:()=>dT,drawFaceLandmarks:()=>mT});function fT(e,t){const n=Qr(e,t),r=eo(e,t);function o(a,s,c){const p=r(a,s,`${c}/separable_conv0`),l=r(s,s,`${c}/separable_conv1`),h=n(a,s,1,`${c}/expansion_conv`);return{separable_conv0:p,separable_conv1:l,expansion_conv:h}}function i(a,s){const c=r(a,a,`${s}/separable_conv0`),p=r(a,a,`${s}/separable_conv1`),l=r(a,a,`${s}/separable_conv2`);return{separable_conv0:c,separable_conv1:p,separable_conv2:l}}return{extractConvParams:n,extractSeparableConvParams:r,extractReductionBlockParams:o,extractMainBlockParams:i}}function fb(e,t){const n=[],{extractWeights:r,getRemainingWeights:o}=Ze(e),{extractConvParams:i,extractSeparableConvParams:a,extractReductionBlockParams:s,extractMainBlockParams:c}=fT(r,n),p=i(3,32,3,"entry_flow/conv_in"),l=s(32,64,"entry_flow/reduction_block_0"),h=s(64,128,"entry_flow/reduction_block_1"),d={conv_in:p,reduction_block_0:l,reduction_block_1:h},b={};Vt(t,0,1).forEach(S=>{b[`main_block_${S}`]=c(128,`middle_flow/main_block_${S}`)});const x=s(128,256,"exit_flow/reduction_block"),w=a(256,512,"exit_flow/separable_conv"),L={reduction_block:x,separable_conv:w};if(o().length!==0)throw new Error(`weights remaing after extract: ${o().length}`);return{paramMappings:n,params:{entry_flow:d,middle_flow:b,exit_flow:L}}}function gT(e,t){const n=it(e,t),r=sc(n),o=to(n);function i(s){const c=o(`${s}/separable_conv0`),p=o(`${s}/separable_conv1`),l=r(`${s}/expansion_conv`);return{separable_conv0:c,separable_conv1:p,expansion_conv:l}}function a(s){const c=o(`${s}/separable_conv0`),p=o(`${s}/separable_conv1`),l=o(`${s}/separable_conv2`);return{separable_conv0:c,separable_conv1:p,separable_conv2:l}}return{extractConvParams:r,extractSeparableConvParams:o,extractReductionBlockParams:i,extractMainBlockParams:a}}function gb(e,t){const n=[],{extractConvParams:r,extractSeparableConvParams:o,extractReductionBlockParams:i,extractMainBlockParams:a}=gT(e,n),s=r("entry_flow/conv_in"),c=i("entry_flow/reduction_block_0"),p=i("entry_flow/reduction_block_1"),l={conv_in:s,reduction_block_0:c,reduction_block_1:p},h={};Vt(t,0,1).forEach(w=>{h[`main_block_${w}`]=a(`middle_flow/main_block_${w}`)});const d=i("exit_flow/reduction_block"),b=o("exit_flow/separable_conv"),x={reduction_block:d,separable_conv:b};return Xe(e,n),{params:{entry_flow:l,middle_flow:h,exit_flow:x},paramMappings:n}}function bb(e,t,n){return R(xe(e,t.filters,n,"same"),t.bias)}function hu(e,t,n=!0){let r=n?ie(e):e;return r=rt(r,t.separable_conv0,[1,1]),r=rt(ie(r),t.separable_conv1,[1,1]),r=Ae(r,[3,3],[2,2],"same"),r=R(r,bb(e,t.expansion_conv,[2,2])),r}function bT(e,t){let n=rt(ie(e),t.separable_conv0,[1,1]);return n=rt(ie(n),t.separable_conv1,[1,1]),n=rt(ie(n),t.separable_conv2,[1,1]),n=R(n,e),n}class wb extends Ue{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){const{params:t}=this;if(!t)throw new Error("TinyXception - load model before inference");return k(()=>{const n=e.toBatchTensor(112,!0),r=[122.782,117.001,104.298],o=wt(n,r).div(_(256));let i=ie(bb(o,t.entry_flow.conv_in,[2,2]));return i=hu(i,t.entry_flow.reduction_block_0,!1),i=hu(i,t.entry_flow.reduction_block_1),Vt(this._numMainBlocks,0,1).forEach(a=>{i=bT(i,t.middle_flow[`main_block_${a}`])}),i=hu(i,t.exit_flow.reduction_block),i=ie(rt(i,t.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await ue(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeigthMap(e){return gb(e,this._numMainBlocks)}extractParams(e){return fb(e,this._numMainBlocks)}}function xb(e){const t=[],{extractWeights:n,getRemainingWeights:r}=Ze(e),o=oc(n,t),i=o(512,1,"fc/age"),a=o(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:i,gender:a}}}}function yb(e){const t=[],n=it(e,t);function r(i){const a=n(`${i}/weights`,2),s=n(`${i}/bias`,1);return{weights:a,bias:s}}const o={fc:{age:r("fc/age"),gender:r("fc/gender")}};return Xe(e,t),{params:o,paramMappings:t}}var Bt;(function(e){e.FEMALE="female",e.MALE="male"})(Bt||(Bt={}));class La extends Ue{constructor(e=new wb(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){const{params:t}=this;if(!t)throw new Error(`${this._name} - load model before inference`);return k(()=>{const n=e instanceof Jt?this.faceFeatureExtractor.forwardInput(e):e,r=pt(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),o=Bs(r,t.fc.age).as1D(),i=Bs(r,t.fc.gender);return{age:o,gender:i}})}forwardInput(e){return k(()=>{const{age:t,gender:n}=this.runNet(e);return{age:t,gender:rn(n)}})}async forward(e){return this.forwardInput(await ue(e))}async predictAgeAndGender(e){const t=await ue(e),n=await this.forwardInput(t),r=Ie(n.age),o=Ie(n.gender),i=r.map((s,c)=>({ageTensor:s,genderTensor:o[c]})),a=await Promise.all(i.map(async({ageTensor:s,genderTensor:c})=>{const p=(await s.data())[0],l=(await c.data())[0],h=l>.5,d=h?Bt.MALE:Bt.FEMALE,b=h?l:1-l;return s.dispose(),c.dispose(),{age:p,gender:d,genderProbability:b}}));return n.age.dispose(),n.gender.dispose(),t.isBatchInput?a:a[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){const{params:t,paramMappings:n}=this.extractClassifierParams(e);this._params=t,this._paramMappings=n}extractClassifierParams(e){return xb(e)}extractParamsFromWeigthMap(e){const{featureExtractorMap:t,classifierMap:n}=pc(e);return this.faceFeatureExtractor.loadFromWeightMap(t),yb(n)}extractParams(e){const t=512*1+1+(512*2+2),n=e.slice(0,e.length-t),r=e.slice(e.length-t);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(r)}}class hc extends lc{postProcess(e,t,n){const r=n.map(({width:i,height:a})=>{const s=t/Math.max(a,i);return{width:i*s,height:a*s}}),o=r.length;return k(()=>{const i=(l,h)=>ke([Ge([68],l),Ge([68],h)],1).as2D(1,136).as1D(),a=(l,h)=>{const{width:d,height:b}=r[l];return h(d,b)?Math.abs(d-b)/2:0},s=l=>a(l,(h,d)=>h<d),c=l=>a(l,(h,d)=>d<h),p=e.mul(Ge([o,136],t)).sub(ke(Array.from(Array(o),(l,h)=>i(s(h),c(h))))).div(ke(Array.from(Array(o),(l,h)=>i(r[h].width,r[h].height))));return p})}forwardInput(e){return k(()=>{const t=this.runNet(e);return this.postProcess(t,e.inputSize,e.inputDimensions.map(([n,r])=>({height:n,width:r})))})}async forward(e){return this.forwardInput(await ue(e))}async detectLandmarks(e){const t=await ue(e),n=k(()=>Ie(this.forwardInput(t))),r=await Promise.all(n.map(async(o,i)=>{const a=Array.from(await o.data()),s=a.filter((p,l)=>Za(l)),c=a.filter((p,l)=>!Za(l));return new Nr(Array(68).fill(0).map((p,l)=>new J(s[l],c[l])),{height:t.getInputHeight(i),width:t.getInputWidth(i)})}));return n.forEach(o=>o.dispose()),t.isBatchInput?r:r[0]}getClassifierChannelsOut(){return 136}}class Sr extends hc{constructor(e=new cc()){super("FaceLandmark68Net",e)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}}function Lb(e){const t=[],{extractDenseBlock3Params:n}=ac(e,t),r={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2")};return Xe(e,t),{params:r,paramMappings:t}}function vb(e){const t=[],{extractWeights:n,getRemainingWeights:r}=Ze(e),{extractDenseBlock3Params:o}=ic(n,t),i=o(3,32,"dense0",!0),a=o(32,64,"dense1"),s=o(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:i,dense1:a,dense2:s}}}class Sb extends Ue{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(e){const{params:t}=this;if(!t)throw new Error("TinyFaceFeatureExtractor - load model before inference");return k(()=>{const n=e.toBatchTensor(112,!0),r=[122.782,117.001,104.298],o=wt(n,r).div(_(255));let i=rc(o,t.dense0,!0);return i=rc(i,t.dense1),i=rc(i,t.dense2),i=pt(i,[14,14],[2,2],"valid"),i})}async forward(e){return this.forwardInput(await ue(e))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeigthMap(e){return Lb(e)}extractParams(e){return vb(e)}}class ha extends hc{constructor(e=new Sb()){super("FaceLandmark68TinyNet",e)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}}class pd extends Sr{}function Ib(e,t){return R(v(e,t.weights),t.biases)}function uu(e,t,n,r,o="same"){const{filters:i,bias:a}=t.conv;let s=xe(e,i,n,o);return s=R(s,a),s=Ib(s,t.scale),r?ie(s):s}function Tb(e,t){return uu(e,t,[1,1],!0)}function du(e,t){return uu(e,t,[1,1],!1)}function uc(e,t){return uu(e,t,[2,2],!0,"valid")}function wT(e,t){function n(s,c,p){const l=e(s),h=l.length/(c*p*p);if(tu(h))throw new Error(`depth has to be an integer: ${h}, weights.length: ${l.length}, numFilters: ${c}, filterSize: ${p}`);return k(()=>K(ft(l,[c,h,p,p]),[2,3,1,0]))}function r(s,c,p,l){const h=n(s,c,p),d=ce(e(c));return t.push({paramPath:`${l}/filters`},{paramPath:`${l}/bias`}),{filters:h,bias:d}}function o(s,c){const p=ce(e(s)),l=ce(e(s));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:p,biases:l}}function i(s,c,p,l){const h=r(s,c,p,`${l}/conv`),d=o(c,`${l}/scale`);return{conv:h,scale:d}}function a(s,c,p,l,h=!1){const d=i((h?.5:1)*s,c,p,`${l}/conv1`),b=i(s,c,p,`${l}/conv2`);return{conv1:d,conv2:b}}return{extractConvLayerParams:i,extractResidualLayerParams:a}}function 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t=[],{extractMobilenetV1Params:n,extractPredictionLayerParams:r}=LT(e,t),o=e["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!an(o))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${o}`);const i={mobilenetv1:n(),prediction_layer:r(),output_layer:{extra_dim:o}};return Xe(e,t),{params:i,paramMappings:t}}function It(e,t,n){return k(()=>{let r=xe(e,t.filters,n,"same");return r=R(r,t.batch_norm_offset),$n(r,0,6)})}const vT=.0010000000474974513;function ST(e,t,n){return k(()=>{let r=en(e,t.filters,n,"same");return r=Ct(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,vT),$n(r,0,6)})}function IT(e){return[2,4,6,12].some(t=>t===e)?[2,2]:[1,1]}function Cb(e,t){return k(()=>{let n=null,r=It(e,t.conv_0,[2,2]);const o=[t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13];if(o.forEach((i,a)=>{const 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I/(d+b-I)}function AT(e){const t=Ie(K(e,[1,0])),n=[O(t[2],t[0]),O(t[3],t[1])],r=[R(t[0],F(n[0],_(2))),R(t[1],F(n[1],_(2)))];return{sizes:n,centers:r}}function NT(e,t){const{sizes:n,centers:r}=AT(e),o=Ie(K(t,[1,0])),i=F(v(Se(F(o[2],_(5))),n[0]),_(2)),a=R(v(F(o[0],_(10)),n[0]),r[0]),s=F(v(Se(F(o[3],_(5))),n[1]),_(2)),c=R(v(F(o[1],_(10)),n[1]),r[1]);return K(ke([O(a,i),O(c,s),R(a,i),R(c,s)]),[1,0])}function Ob(e,t,n){return k(()=>{const r=e.shape[0];let o=NT(y(Ot(n.extra_dim,[r,1,1]),[-1,4]),y(e,[-1,4]));o=y(o,[r,o.shape[0]/r,4]);const i=lt(G(t,[0,0,1],[-1,-1,-1]));let a=G(i,[0,0,0],[-1,-1,1]);a=y(a,[r,a.shape[1]]);const s=Ie(o),c=Ie(a);return{boxes:s,scores:c}})}function gr(e,t){return k(()=>{const n=e.shape[0],r=y(fr(e,t.box_encoding_predictor),[n,-1,1,4]),o=y(fr(e,t.class_predictor),[n,-1,3]);return{boxPredictionEncoding:r,classPrediction:o}})}function kb(e,t,n){return k(()=>{const r=It(e,n.conv_0,[1,1]),o=It(r,n.conv_1,[2,2]),i=It(o,n.conv_2,[1,1]),a=It(i,n.conv_3,[2,2]),s=It(a,n.conv_4,[1,1]),c=It(s,n.conv_5,[2,2]),p=It(c,n.conv_6,[1,1]),l=It(p,n.conv_7,[2,2]),h=gr(t,n.box_predictor_0),d=gr(e,n.box_predictor_1),b=gr(o,n.box_predictor_2),x=gr(a,n.box_predictor_3),w=gr(c,n.box_predictor_4),L=gr(l,n.box_predictor_5),S=Z([h.boxPredictionEncoding,d.boxPredictionEncoding,b.boxPredictionEncoding,x.boxPredictionEncoding,w.boxPredictionEncoding,L.boxPredictionEncoding],1),I=Z([h.classPrediction,d.classPrediction,b.classPrediction,x.classPrediction,w.classPrediction,L.classPrediction],1);return{boxPredictions:S,classPredictions:I}})}class bt{constructor({minConfidence:e,maxResults:t}={}){if(this._name="SsdMobilenetv1Options",this._minConfidence=e||.5,this._maxResults=t||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}}class Nn extends Ue{constructor(){super("SsdMobilenetv1")}forwardInput(e){const{params:t}=this;if(!t)throw new Error("SsdMobilenetv1 - load model before inference");return k(()=>{const n=e.toBatchTensor(512,!1).toFloat(),r=O(v(n,_(.007843137718737125)),_(1)),o=Cb(r,t.mobilenetv1),{boxPredictions:i,classPredictions:a}=kb(o.out,o.conv11,t.prediction_layer);return Ob(i,a,t.output_layer)})}async forward(e){return this.forwardInput(await ue(e))}async locateFaces(e,t={}){const{maxResults:n,minConfidence:r}=new bt(t),o=await ue(e),{boxes:i,scores:a}=this.forwardInput(o),s=i[0],c=a[0];for(let I=1;I<i.length;I++)i[I].dispose(),a[I].dispose();const p=Array.from(await c.data()),l=.5,h=Eb(s,p,n,l,r),d=o.getReshapedInputDimensions(0),b=o.inputSize,x=b/d.width,w=b/d.height,L=s.arraySync(),S=h.map(I=>{const[N,A]=[Math.max(0,L[I][0]),Math.min(1,L[I][2])].map(D=>D*w),[E,M]=[Math.max(0,L[I][1]),Math.min(1,L[I][3])].map(D=>D*x);return new fe(p[I],new Ar(E,N,M-E,A-N),{height:o.getInputHeight(0),width:o.getInputWidth(0)})});return s.dispose(),c.dispose(),S}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeigthMap(e){return _b(e)}extractParams(e){return Rb(e)}}function yc(e){const t=new Nn();return t.extractWeights(e),t}function Uu(e){return yc(e)}class Wu extends Nn{}const Db=.4,Fb=[new J(.738768,.874946),new J(2.42204,2.65704),new J(4.30971,7.04493),new J(10.246,4.59428),new J(12.6868,11.8741)],Mb=[new J(1.603231,2.094468),new J(6.041143,7.080126),new J(2.882459,3.518061),new J(4.266906,5.178857),new J(9.041765,10.66308)],Ub=[117.001,114.697,97.404],Wb="tiny_yolov2_model",Bb="tiny_yolov2_separable_conv_model";const dc=e=>typeof e=="number";function Xs(e){if(!e)throw new Error(`invalid config: ${e}`);if(typeof e.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${e.withSeparableConvs}`);if(!dc(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${e.iouThreshold}`);if(!Array.isArray(e.classes)||!e.classes.length||!e.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(e.classes)}`);if(!Array.isArray(e.anchors)||!e.anchors.length||!e.anchors.map(t=>t||{}).every(t=>dc(t.x)&&dc(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(e.anchors)}`);if(e.meanRgb&&(!Array.isArray(e.meanRgb)||e.meanRgb.length!==3||!e.meanRgb.every(dc)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(e.meanRgb)}`)}function no(e){return k(()=>{const t=v(e,_(.10000000149011612));return R(ie(O(e,t)),t)})}function cn(e,t){return k(()=>{let n=Pe(e,[[0,0],[1,1],[1,1],[0,0]]);return n=xe(n,t.conv.filters,[1,1],"valid"),n=O(n,t.bn.sub),n=v(n,t.bn.truediv),n=R(n,t.conv.bias),no(n)})}function pn(e,t){return k(()=>{let n=Pe(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Xn(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),n=R(n,t.bias),no(n)})}function RT(e,t){const n=Qr(e,t);function r(a,s){const c=ce(e(a)),p=ce(e(a));return t.push({paramPath:`${s}/sub`},{paramPath:`${s}/truediv`}),{sub:c,truediv:p}}function o(a,s,c){const p=n(a,s,3,`${c}/conv`),l=r(s,`${c}/bn`);return{conv:p,bn:l}}const i=eo(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:o,extractSeparableConvParams:i}}function $b(e,t,n,r){const{extractWeights:o,getRemainingWeights:i}=Ze(e),a=[],{extractConvParams:s,extractConvWithBatchNormParams:c,extractSeparableConvParams:p}=RT(o,a);let l;if(t.withSeparableConvs){const[h,d,b,x,w,L,S,I,N]=r,A=t.isFirstLayerConv2d?s(h,d,3,"conv0"):p(h,d,"conv0"),E=p(d,b,"conv1"),M=p(b,x,"conv2"),D=p(x,w,"conv3"),$=p(w,L,"conv4"),B=p(L,S,"conv5"),j=I?p(S,I,"conv6"):void 0,te=N?p(I,N,"conv7"):void 0,re=s(N||I||S,5*n,1,"conv8");l={conv0:A,conv1:E,conv2:M,conv3:D,conv4:$,conv5:B,conv6:j,conv7:te,conv8:re}}else{const[h,d,b,x,w,L,S,I,N]=r,A=c(h,d,"conv0"),E=c(d,b,"conv1"),M=c(b,x,"conv2"),D=c(x,w,"conv3"),$=c(w,L,"conv4"),B=c(L,S,"conv5"),j=c(S,I,"conv6"),te=c(I,N,"conv7"),re=s(N,5*n,1,"conv8");l={conv0:A,conv1:E,conv2:M,conv3:D,conv4:$,conv5:B,conv6:j,conv7:te,conv8:re}}if(i().length!==0)throw new Error(`weights remaing after extract: ${i().length}`);return{params:l,paramMappings:a}}function _T(e,t){const n=it(e,t);function r(s){const c=n(`${s}/sub`,1),p=n(`${s}/truediv`,1);return{sub:c,truediv:p}}function o(s){const c=n(`${s}/filters`,4),p=n(`${s}/bias`,1);return{filters:c,bias:p}}function i(s){const c=o(`${s}/conv`),p=r(`${s}/bn`);return{conv:c,bn:p}}const a=to(n);return{extractConvParams:o,extractConvWithBatchNormParams:i,extractSeparableConvParams:a}}function jb(e,t){const n=[],{extractConvParams:r,extractConvWithBatchNormParams:o,extractSeparableConvParams:i}=_T(e,n);let a;if(t.withSeparableConvs){const s=t.filterSizes&&t.filterSizes.length||9;a={conv0:t.isFirstLayerConv2d?r("conv0"):i("conv0"),conv1:i("conv1"),conv2:i("conv2"),conv3:i("conv3"),conv4:i("conv4"),conv5:i("conv5"),conv6:s>7?i("conv6"):void 0,conv7:s>8?i("conv7"):void 0,conv8:r("conv8")}}else a={conv0:o("conv0"),conv1:o("conv1"),conv2:o("conv2"),conv3:o("conv3"),conv4:o("conv4"),conv5:o("conv5"),conv6:o("conv6"),conv7:o("conv7"),conv8:r("conv8")};return Xe(e,n),{params:a,paramMappings:n}}var Zs;(function(e){e[e.XS=224]="XS",e[e.SM=320]="SM",e[e.MD=416]="MD",e[e.LG=608]="LG"})(Zs||(Zs={}));class Wt{constructor({inputSize:e,scoreThreshold:t}={}){if(this._name="TinyYolov2Options",this._inputSize=e||416,this._scoreThreshold=t||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}}class ro extends Ue{constructor(e){super("TinyYolov2");Xs(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,t){let n=cn(e,t.conv0);return n=Ae(n,[2,2],[2,2],"same"),n=cn(n,t.conv1),n=Ae(n,[2,2],[2,2],"same"),n=cn(n,t.conv2),n=Ae(n,[2,2],[2,2],"same"),n=cn(n,t.conv3),n=Ae(n,[2,2],[2,2],"same"),n=cn(n,t.conv4),n=Ae(n,[2,2],[2,2],"same"),n=cn(n,t.conv5),n=Ae(n,[2,2],[1,1],"same"),n=cn(n,t.conv6),n=cn(n,t.conv7),fr(n,t.conv8,"valid",!1)}runMobilenet(e,t){let n=this.config.isFirstLayerConv2d?no(fr(e,t.conv0,"valid",!1)):pn(e,t.conv0);return n=Ae(n,[2,2],[2,2],"same"),n=pn(n,t.conv1),n=Ae(n,[2,2],[2,2],"same"),n=pn(n,t.conv2),n=Ae(n,[2,2],[2,2],"same"),n=pn(n,t.conv3),n=Ae(n,[2,2],[2,2],"same"),n=pn(n,t.conv4),n=Ae(n,[2,2],[2,2],"same"),n=pn(n,t.conv5),n=Ae(n,[2,2],[1,1],"same"),n=t.conv6?pn(n,t.conv6):n,n=t.conv7?pn(n,t.conv7):n,fr(n,t.conv8,"valid",!1)}forwardInput(e,t){const{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return k(()=>{let r=e.toBatchTensor(t,!1).toFloat();return r=this.config.meanRgb?wt(r,this.config.meanRgb):r,r=r.div(_(256)),this.config.withSeparableConvs?this.runMobilenet(r,n):this.runTinyYolov2(r,n)})}async forward(e,t){return await this.forwardInput(await ue(e),t)}async detect(e,t={}){const{inputSize:n,scoreThreshold:r}=new Wt(t),o=await ue(e),i=await this.forwardInput(o,n),a=k(()=>Ie(i)[0].expandDims()),s={width:o.getInputWidth(0),height:o.getInputHeight(0)},c=await this.extractBoxes(a,o.getReshapedInputDimensions(0),r);i.dispose(),a.dispose();const p=c.map(w=>w.box),l=c.map(w=>w.score),h=c.map(w=>w.classScore),d=c.map(w=>this.config.classes[w.label]),b=ta(p.map(w=>w.rescale(n)),l,this.config.iouThreshold,!0),x=b.map(w=>new On(l[w],h[w],d[w],p[w],s));return x}getDefaultModelName(){return""}extractParamsFromWeigthMap(e){return jb(e,this.config)}extractParams(e){const t=this.config.filterSizes||ro.DEFAULT_FILTER_SIZES,n=t?t.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return $b(e,this.config,this.boxEncodingSize,t)}async extractBoxes(e,t,n){const{width:r,height:o}=t,i=Math.max(r,o),a=i/r,s=i/o,c=e.shape[1],p=this.config.anchors.length,[l,h,d]=k(()=>{const L=e.reshape([c,c,p,this.boxEncodingSize]),S=L.slice([0,0,0,0],[c,c,p,4]),I=L.slice([0,0,0,4],[c,c,p,1]),N=this.withClassScores?rn(L.slice([0,0,0,5],[c,c,p,this.config.classes.length]),3):_(0);return[S,I,N]}),b=[],x=await h.array(),w=await l.array();for(let L=0;L<c;L++)for(let S=0;S<c;S++)for(let I=0;I<p;I++){const N=Lr(x[L][S][I][0]);if(!n||N>n){const A=(S+Lr(w[L][S][I][0]))/c*a,E=(L+Lr(w[L][S][I][1]))/c*s,M=Math.exp(w[L][S][I][2])*this.config.anchors[I].x/c*a,D=Math.exp(w[L][S][I][3])*this.config.anchors[I].y/c*s,$=A-M/2,B=E-D/2,j={row:L,col:S,anchor:I},{classScore:te,label:re}=this.withClassScores?await this.extractPredictedClass(d,j):{classScore:1,label:0};b.push(zs({box:new Rr($,B,$+M,B+D),score:N,classScore:N*te,label:re},j))}}return l.dispose(),h.dispose(),d.dispose(),b}async extractPredictedClass(e,t){const{row:n,col:r,anchor:o}=t,i=await e.array();return Array(this.config.classes.length).fill(0).map((a,s)=>i[n][r][o][s]).map((a,s)=>({classScore:a,label:s})).reduce((a,s)=>a.classScore>s.classScore?a:s)}}ro.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];class xr extends ro{constructor(e=!0){const t=Object.assign({},{withSeparableConvs:e,iouThreshold:Db,classes:["face"]},e?{anchors:Mb,meanRgb:Ub}:{anchors:Fb,withClassScores:!0});super(t)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(e,t){const n=await this.detect(e,t);return n.map(r=>new fe(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?Bb:Wb}extractParamsFromWeigthMap(e){return super.extractParamsFromWeigthMap(e)}}function Fu(e,t=!0){const n=new xr(t);return n.extractWeights(e),n}class Qs extends Wt{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}}class xt{async then(e){return e(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}}async function br(e,t,n,r,o=({alignedRect:i})=>i){const i=e.map(c=>dn(c)?o(c):c.detection),a=r||(t instanceof ee?await Cn(t,i):await _n(t,i)),s=await n(a);return a.forEach(c=>c instanceof ee&&c.dispose()),s}async function oo(e,t,n,r,o){return br([e],t,async i=>n(i[0]),r,o)}const Gb=.4,Pb=[new J(1.603231,2.094468),new J(6.041143,7.080126),new J(2.882459,3.518061),new J(4.266906,5.178857),new J(9.041765,10.66308)],qb=[117.001,114.697,97.404];class yr extends ro{constructor(){const e={withSeparableConvs:!0,iouThreshold:Gb,classes:["face"],anchors:Pb,meanRgb:qb,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(e)}get anchors(){return this.config.anchors}async locateFaces(e,t){const n=await this.detect(e,t);return n.map(r=>new fe(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeigthMap(e){return super.extractParamsFromWeigthMap(e)}}const oe={ssdMobilenetv1:new Nn(),tinyFaceDetector:new yr(),tinyYolov2:new xr(),faceLandmark68Net:new Sr(),faceLandmark68TinyNet:new ha(),faceRecognitionNet:new vr(),faceExpressionNet:new da(),ageGenderNet:new La()},vc=(e,t)=>oe.ssdMobilenetv1.locateFaces(e,t),ju=(e,t)=>oe.tinyFaceDetector.locateFaces(e,t),Gu=(e,t)=>oe.tinyYolov2.locateFaces(e,t),Sc=e=>oe.faceLandmark68Net.detectLandmarks(e),Pu=e=>oe.faceLandmark68TinyNet.detectLandmarks(e),qu=e=>oe.faceRecognitionNet.computeFaceDescriptor(e),Hu=e=>oe.faceExpressionNet.predictExpressions(e),zu=e=>oe.ageGenderNet.predictAgeAndGender(e),Ic=e=>oe.ssdMobilenetv1.load(e),Yu=e=>oe.tinyFaceDetector.load(e),Vu=e=>oe.tinyYolov2.load(e),Ku=e=>oe.faceLandmark68Net.load(e),Ju=e=>oe.faceLandmark68TinyNet.load(e),Xu=e=>oe.faceRecognitionNet.load(e),Zu=e=>oe.faceExpressionNet.load(e),Qu=e=>oe.ageGenderNet.load(e),ed=Ic,td=vc,nd=Sc;class Hb extends xt{constructor(e,t,n){super();this.parentTask=e,this.input=t,this.extractedFaces=n}}class Ps extends Hb{async run(){const e=await this.parentTask,t=await br(e,this.input,async n=>await Promise.all(n.map(r=>oe.faceExpressionNet.predictExpressions(r))),this.extractedFaces);return e.map((n,r)=>uo(n,t[r]))}withAgeAndGender(){return new js(this,this.input)}}class qs extends Hb{async run(){const e=await this.parentTask;if(!e)return;const t=await oo(e,this.input,n=>oe.faceExpressionNet.predictExpressions(n),this.extractedFaces);return uo(e,t)}withAgeAndGender(){return new Gs(this,this.input)}}class ao extends Ps{withAgeAndGender(){return new io(this,this.input)}withFaceDescriptors(){return new hn(this,this.input)}}class co extends qs{withAgeAndGender(){return new so(this,this.input)}withFaceDescriptor(){return new un(this,this.input)}}class zb extends xt{constructor(e,t,n){super();this.parentTask=e,this.input=t,this.extractedFaces=n}}class js extends zb{async run(){const e=await this.parentTask,t=await br(e,this.input,async n=>await Promise.all(n.map(r=>oe.ageGenderNet.predictAgeAndGender(r))),this.extractedFaces);return e.map((n,r)=>{const{age:o,gender:i,genderProbability:a}=t[r];return fo(ho(n,i,a),o)})}withFaceExpressions(){return new Ps(this,this.input)}}class Gs extends zb{async run(){const e=await this.parentTask;if(!e)return;const{age:t,gender:n,genderProbability:r}=await oo(e,this.input,o=>oe.ageGenderNet.predictAgeAndGender(o),this.extractedFaces);return fo(ho(e,n,r),t)}withFaceExpressions(){return new qs(this,this.input)}}class io extends js{withFaceExpressions(){return new ao(this,this.input)}withFaceDescriptors(){return new hn(this,this.input)}}class so extends Gs{withFaceExpressions(){return new co(this,this.input)}withFaceDescriptor(){return new un(this,this.input)}}class pa extends xt{constructor(e,t){super();this.parentTask=e,this.input=t}}class hn extends pa{async run(){const e=await this.parentTask,t=await br(e,this.input,n=>Promise.all(n.map(r=>oe.faceRecognitionNet.computeFaceDescriptor(r))),null,n=>n.landmarks.align(null,{useDlibAlignment:!0}));return t.map((n,r)=>mo(e[r],n))}withFaceExpressions(){return new ao(this,this.input)}withAgeAndGender(){return new io(this,this.input)}}class un extends pa{async run(){const e=await this.parentTask;if(!e)return;const t=await oo(e,this.input,n=>oe.faceRecognitionNet.computeFaceDescriptor(n),null,n=>n.landmarks.align(null,{useDlibAlignment:!0}));return mo(e,t)}withFaceExpressions(){return new co(this,this.input)}withAgeAndGender(){return new so(this,this.input)}}class sa extends xt{constructor(e,t,n){super();this.parentTask=e,this.input=t,this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?oe.faceLandmark68TinyNet:oe.faceLandmark68Net}}class aa extends sa{async run(){const e=await this.parentTask,t=e.map(o=>o.detection),n=this.input instanceof ee?await Cn(this.input,t):await _n(this.input,t),r=await Promise.all(n.map(o=>this.landmarkNet.detectLandmarks(o)));return n.forEach(o=>o instanceof ee&&o.dispose()),e.map((o,i)=>Rn(o,r[i]))}withFaceExpressions(){return new ao(this,this.input)}withAgeAndGender(){return new io(this,this.input)}withFaceDescriptors(){return new hn(this,this.input)}}class ca extends sa{async run(){const e=await this.parentTask;if(!e)return;const{detection:t}=e,n=this.input instanceof ee?await Cn(this.input,[t]):await _n(this.input,[t]),r=await this.landmarkNet.detectLandmarks(n[0]);return n.forEach(o=>o instanceof ee&&o.dispose()),Rn(e,r)}withFaceExpressions(){return new co(this,this.input)}withAgeAndGender(){return new so(this,this.input)}withFaceDescriptor(){return new un(this,this.input)}}class oa extends xt{constructor(e,t=new bt()){super();this.input=e,this.options=t}}class lo extends oa{async run(){const{input:e,options:t}=this,n=t instanceof Qs?r=>oe.tinyFaceDetector.locateFaces(r,t):t instanceof bt?r=>oe.ssdMobilenetv1.locateFaces(r,t):t instanceof Wt?r=>oe.tinyYolov2.locateFaces(r,t):null;if(!n)throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | MtcnnOptions | TinyYolov2Options");return n(e)}runAndExtendWithFaceDetections(){return new Promise(async e=>{const t=await this.run();return e(t.map(n=>mn({},n)))})}withFaceLandmarks(e=!1){return new aa(this.runAndExtendWithFaceDetections(),this.input,e)}withFaceExpressions(){return new Ps(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new js(this.runAndExtendWithFaceDetections(),this.input)}}class ia extends oa{async run(){const e=await new lo(this.input,this.options);let t=e[0];return e.forEach(n=>{n.score>t.score&&(t=n)}),t}runAndExtendWithFaceDetection(){return new Promise(async e=>{const t=await this.run();return e(t?mn({},t):void 0)})}withFaceLandmarks(e=!1){return new ca(this.runAndExtendWithFaceDetection(),this.input,e)}withFaceExpressions(){return new qs(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Gs(this.runAndExtendWithFaceDetection(),this.input)}}function rd(e,t=new bt()){return new ia(e,t)}function po(e,t=new bt()){return new lo(e,t)}async function Tc(e,t){return console.warn("allFacesSsdMobilenetv1 is deprecated and will be removed soon, use the high level api instead"),await po(e,new bt(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function od(e,t={}){return console.warn("allFacesTinyYolov2 is deprecated and will be removed soon, use the high level api instead"),await po(e,new Wt(t)).withFaceLandmarks().withFaceDescriptors()}const id=Tc;function ma(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");const n=Array.from(e),r=Array.from(t);return Math.sqrt(n.map((o,i)=>o-r[i]).reduce((o,i)=>o+Math.pow(i,2),0))}class Ac{constructor(e,t=.6){this._distanceThreshold=t;const n=Array.isArray(e)?e:[e];if(!n.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let r=1;const o=()=>`person ${r++}`;this._labeledDescriptors=n.map(i=>{if(i instanceof xn)return i;if(i instanceof Float32Array)return new xn(o(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new xn(o(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor<any> | Float32Array | Array<LabeledFaceDescriptors | WithFaceDescriptor<any> | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(e,t){return t.map(n=>ma(n,e)).reduce((n,r)=>n+r,0)/(t.length||1)}matchDescriptor(e){return this.labeledDescriptors.map(({descriptors:t,label:n})=>new wo(n,this.computeMeanDistance(e,t))).reduce((t,n)=>t.distance<n.distance?t:n)}findBestMatch(e){const t=this.matchDescriptor(e);return t.distance<this.distanceThreshold?t:new wo("unknown",t.distance)}toJSON(){return{distanceThreshold:this.distanceThreshold,labeledDescriptors:this.labeledDescriptors.map(e=>e.toJSON())}}static fromJSON(e){const t=e.labeledDescriptors.map(n=>xn.fromJSON(n));return new Ac(t,e.distanceThreshold)}}function Mu(e){const t=new yr();return t.extractWeights(e),t}function Lc(e,t){const{width:n,height:r}=new Qe(t.width,t.height);if(n<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:n,height:r})}`);if(Array.isArray(e))return e.map(o=>Lc(o,{width:n,height:r}));if(dn(e)){const o=e.detection.forSize(n,r),i=e.unshiftedLandmarks.forSize(o.box.width,o.box.height);return Rn(mn(e,o),i)}return Nt(e)?mn(e,e.detection.forSize(n,r)):e instanceof st||e instanceof fe?e.forSize(n,r):e}return fd();})();
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Ne.getHandlers(e,"load",t)}static getHandlers(e,t,n){const o=[],r=t==="load"?Ne.getInstance().loadRouters:Ne.getInstance().saveRouters;return r.forEach(i=>{const a=i(e,n);a!==null&&o.push(a)}),o}}const XS=e=>Ne.registerSaveRouter(e),ZS=e=>Ne.registerLoadRouter(e),QS=e=>Ne.getSaveHandlers(e),eI=(e,t)=>Ne.getLoadHandlers(e,t);const Yo="://";class Ft{constructor(){this.managers={}}static getInstance(){return Ft.instance==null&&(Ft.instance=new Ft()),Ft.instance}static registerManager(e,t){f(e!=null,()=>"scheme must not be undefined or null."),e.endsWith(Yo)&&(e=e.slice(0,e.indexOf(Yo))),f(e.length>0,()=>"scheme must not be an empty string.");const n=Ft.getInstance();f(n.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),n.managers[e]=t}static getManager(e){const t=this.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(this.getInstance().managers)}}function Xa(e){if(e.indexOf(Yo)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Ft.getSchemes().join(",")}`);return{scheme:e.split(Yo)[0],path:e.split(Yo)[1]}}async function nf(e,t,n=!1){f(e!==t,()=>`Old path and new path are the same: '${e}'`);const o=Ne.getLoadHandlers(e);f(o.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),f(o.length<2,()=>`Copying failed because more than one (${o.length}) load handlers for source URL ${e}.`);const r=o[0],i=Ne.getSaveHandlers(t);f(i.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),f(i.length<2,()=>`Copying failed because more than one (${o.length}) save handlers for destination URL ${t}.`);const a=i[0],s=Xa(e).scheme,c=Xa(e).path,p=s===Xa(e).scheme,l=await r.load();n&&p&&await Ft.getManager(s).removeModel(c);const h=await a.save(l);return n&&!p&&await Ft.getManager(s).removeModel(c),h.modelArtifactsInfo}async function of(){const e=Ft.getSchemes(),t={};for(const n of e){const o=await Ft.getManager(n).listModels();for(const r in o){const i=n+Yo+r;t[i]=o[r]}}return t}async function rf(e){const t=Xa(e),n=Ft.getManager(t.scheme);return n.removeModel(t.path)}async function sf(e,t){const n=!1;return nf(e,t,n)}async function af(e,t){const n=!0;return nf(e,t,n)}const tI="model",nI=".json",oI=".weights.bin";function cf(e){return new Promise(t=>setTimeout(t)).then(e)}class Vo{constructor(e){if(!pe().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(Vo.URL_SCHEME)&&(e=e.slice(Vo.URL_SCHEME.length)),(e==null||e.length===0)&&(e=tI),this.modelTopologyFileName=e+nI,this.weightDataFileName=e+oI}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");const t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{const n=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],o={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:n},r=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:"application/json"})),i=this.jsonAnchor==null?document.createElement("a"):this.jsonAnchor;if(i.download=this.modelTopologyFileName,i.href=r,await cf(()=>i.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){const a=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;a.download=this.weightDataFileName,a.href=t,await cf(()=>a.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Ws(e)}}}}Vo.URL_SCHEME="downloads://";class rI{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.files=e}async load(){const e=this.files[0],t=this.files.slice(1);return new Promise((n,o)=>{const r=new FileReader();r.onload=i=>{const a=JSON.parse(i.target.result),s=a.modelTopology;if(s==null){o(new Error(`modelTopology field is missing from file ${e.name}`));return}t.length===0&&n({modelTopology:s});const c=a.weightsManifest;if(c==null){o(new Error(`weightManifest field is missing from file ${e.name}`));return}let p;try{p=this.checkManifestAndWeightFiles(c,t)}catch(b){o(b);return}const l=[],h=[],d=[];c.forEach(b=>{b.paths.forEach(x=>{h.push(x),d.push(null)}),l.push(...b.weights)}),c.forEach(b=>{b.paths.forEach(x=>{const w=new FileReader();w.onload=L=>{const S=L.target.result,I=h.indexOf(x);d[I]=S,d.indexOf(null)===-1&&n({modelTopology:s,weightSpecs:l,weightData:Us(d),format:a.format,generatedBy:a.generatedBy,convertedBy:a.convertedBy,userDefinedMetadata:a.userDefinedMetadata})},w.onerror=L=>o(`Failed to weights data from file of path '${x}'.`),w.readAsArrayBuffer(p[x])})})},r.onerror=i=>o(`Failed to read model topology and weights manifest JSON from file '${e.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),r.readAsText(e)})}checkManifestAndWeightFiles(e,t){const n=[],o=t.map(i=>jh(i.name)),r={};for(const i of e)i.paths.forEach(a=>{const s=jh(a);if(n.indexOf(s)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${s}'`);if(n.push(s),o.indexOf(s)===-1)throw new Error(`Weight file with basename '${s}' is not provided.`);r[a]=t[o.indexOf(s)]});if(n.length!==t.length)throw new Error(`Mismatch in the number of files in weights manifest (${n.length}) and the number of weight files provided (${t.length}).`);return r}}const sI=e=>pe().getBool("IS_BROWSER")&&(!Array.isArray(e)&&e.startsWith(Vo.URL_SCHEME))?iI(e.slice(Vo.URL_SCHEME.length)):null;Ne.registerSaveRouter(sI);function iI(e="model"){return new Vo(e)}function aI(e){return new rI(e)}function Gh(e,t,n,o){a(e),n=n==null?0:n,o=o==null?1:o,s(n,o);let r=0;const i=c=>(c.then(p=>{const l=n+ ++r/e.length*(o-n);return t(l),p}),c);function a(c){f(c!=null&&Array.isArray(c)&&c.length>0,()=>"promises must be a none empty array")}function s(c,p){f(c>=0&&c<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${c}`),f(p>=0&&p<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${p}`),f(p>=c,()=>`startFraction must be no more than endFraction, but got startFraction ${c} and endFraction ${p}`)}return Promise.all(e.map(i))}async function Ph(e,t){t==null&&(t={});const n=t.fetchFunc==null?pe().platform.fetch:t.fetchFunc,o=e.map(h=>n(h,t.requestInit,{isBinary:!0})),r=0,i=.5,a=t.onProgress==null?await Promise.all(o):await Gh(o,t.onProgress,r,i),s=a.map(h=>h.arrayBuffer()),c=.5,p=1,l=t.onProgress==null?await Promise.all(s):await Gh(s,t.onProgress,c,p);return l}async function cI(e,t="",n,o){const r=a=>Ph(a,{requestInit:o}),i=pf(r);return i(e,t,n)}function pf(e){return async(t,n="",o)=>{const r=t.map(()=>!1),i={},a=o!=null?o.map(()=>!1):[],s=[];if(t.forEach((b,x)=>{let w=0;b.weights.forEach(L=>{const S="quantization"in L?L.quantization.dtype:L.dtype,I=Ms[S]*Q(L.shape),N=()=>{r[x]=!0,i[x]==null&&(i[x]=[]),i[x].push({manifestEntry:L,groupOffset:w,sizeBytes:I})};o!=null?o.forEach((A,E)=>{A===L.name&&(N(),a[E]=!0)}):N(),s.push(L.name),w+=I})}),!a.every(b=>b)){const b=o.filter((x,w)=>!a[w]);throw new Error(`Could not find weights in manifest with names: ${b.join(", ")}. 
+Manifest JSON has weights with names: ${s.join(", ")}.`)}const c=r.reduce((b,x,w)=>(x&&b.push(w),b),[]),p=[];c.forEach(b=>{t[b].paths.forEach(x=>{const w=n+(n.endsWith("/")?"":"/")+x;p.push(w)})});const l=await e(p),h={};let d=0;return c.forEach(b=>{const x=t[b].paths.length;let w=0;for(let A=0;A<x;A++)w+=l[d+A].byteLength;const L=new ArrayBuffer(w),S=new Uint8Array(L);let I=0;for(let A=0;A<x;A++){const E=new Uint8Array(l[d+A]);S.set(E,I),I+=E.byteLength}const N=i[b];N.forEach(A=>{const E=L.slice(A.groupOffset,A.groupOffset+A.sizeBytes),M=$h(E,[A.manifestEntry]);for(const D in M)h[D]=M[D]}),d+=x}),h}}const pI="application/octet-stream",lI="application/json";class qh{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,t.fetchFunc!=null?(f(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=pe().platform.fetch,f(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&f(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");const t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData();const n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],o={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,userDefinedMetadata:e.userDefinedMetadata,weightsManifest:n};t.body.append("model.json",new Blob([JSON.stringify(o)],{type:lI}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:pI}),"model.weights.bin");const r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Ws(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){const e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(l){let h=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?h+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":h+=" Please make sure the server is serving valid JSON for this request.",new Error(h)}const n=t.modelTopology,o=t.weightsManifest,r=t.generatedBy,i=t.convertedBy,a=t.format,s=t.userDefinedMetadata;if(n==null&&o==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);let c,p;if(o!=null){const l=await this.loadWeights(o);[c,p]=l}return{modelTopology:n,weightSpecs:c,weightData:p,userDefinedMetadata:s,generatedBy:r,convertedBy:i,format:a}}async loadWeights(e){const t=Array.isArray(this.path)?this.path[1]:this.path,[n,o]=hI(t),r=this.weightPathPrefix||n,i=[];for(const c of e)i.push(...c.weights);const a=[];e.forEach(c=>{c.paths.forEach(p=>{a.push(r+p+o)})});const s=await Ph(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[i,Us(s)]}}qh.URL_SCHEME_REGEX=/^https?:\/\//;function hI(e){const t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),o=e.substring(0,t),r=n>t?e.substring(n):"";return[o+"/",r]}function Hh(e){return e.match(qh.URL_SCHEME_REGEX)!=null}const lf=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(o=>Hh(o)):n=Hh(e),n)return zh(e,t)}return null};Ne.registerSaveRouter(lf);Ne.registerLoadRouter(lf);function zh(e,t){return new qh(e,t)}function uI(e,t){return zh(e,t)}class Yh{constructor(e){this.modelArtifacts=e}async load(){return this.modelArtifacts}}class dI{constructor(e){this.saveHandler=e}async save(e){return this.saveHandler(e)}}function mI(e,t,n,o){if(arguments.length===1){const r=e.modelTopology!=null||e.weightSpecs!=null;return r?new Yh(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new Yh({modelTopology:e}))}else return console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new Yh({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:o})}function fI(e){return new dI(e)}const Ko={};Re(Ko,{browserFiles:()=>aI,browserHTTPRequest:()=>uI,concatenateArrayBuffers:()=>Us,copyModel:()=>sf,decodeWeights:()=>$h,encodeWeights:()=>HS,fromMemory:()=>mI,getLoadHandlers:()=>eI,getModelArtifactsInfoForJSON:()=>Ws,getSaveHandlers:()=>QS,http:()=>zh,isHTTPScheme:()=>Hh,listModels:()=>of,loadWeights:()=>cI,moveModel:()=>af,registerLoadRouter:()=>ZS,registerSaveRouter:()=>XS,removeModel:()=>rf,weightsLoaderFactory:()=>pf,withSaveHandler:()=>fI});function gI(e,t,n){const o=u(e,"labels","confusionMatrix"),r=u(t,"predictions","confusionMatrix");f(n==null||n>0&&Number.isInteger(n),()=>`If provided, numClasses must be a positive integer, but got ${n}`),f(o.rank===1,()=>`Expected the rank of labels to be 1, but got ${o.rank}`),f(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),f(o.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${o.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),f(n>0&&Number.isInteger(n),()=>`numClasses is required to be a positive integer, but got ${n}`);const i=Go(_(o,"int32"),n),a=Go(_(r,"int32"),n),s=K(i);return _(Y(s,a),"int32")}const bI=m({confusionMatrix_:gI});const hf={};Re(hf,{confusionMatrix:()=>bI});const Jo={};Re(Jo,{fromPixels:()=>yI,toPixels:()=>xI});let Xo;function wI(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,o=!1,r=!1,i=!1,a=!1;if(e.data instanceof Uint8Array)n=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)o=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)i=!0;else if(e.getContext!=null)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(r){const b=2;if(r&&e.readyState<b)throw new Error("The video element has not loaded data yet. Please wait for `loadeddata` event on the <video> element.")}const s=rs(Sa,g.backendName);if(s!=null){const b={pixels:e},x={numChannels:t};return g.runKernel(Sa,b,x)}const[c,p]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height];let l;a?l=e.getContext("2d").getImageData(0,0,c,p).data:o||n?l=e.data:(i||r)&&(Xo==null&&(Xo=document.createElement("canvas").getContext("2d")),Xo.canvas.width=c,Xo.canvas.height=p,Xo.drawImage(e,0,0,c,p),l=Xo.getImageData(0,0,c,p).data);let h;if(t===4)h=new Int32Array(l);else{const b=c*p;h=new Int32Array(b*t);for(let x=0;x<b;x++)for(let w=0;w<t;++w)h[x*t+w]=l[x*4+w]}const d=[p,c,t];return eo(h,d,"int32")}async function xI(e,t){let n=u(e,"img","toPixels");if(!(e instanceof ee)){const L=n;n=_(L,"int32"),L.dispose()}if(n.rank!==2&&n.rank!==3)throw new Error(`toPixels only supports rank 2 or 3 tensors, got rank ${n.rank}.`);const[o,r]=n.shape.slice(0,2),i=n.rank===2?1:n.shape[2];if(i>4||i===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${i}`);const a=await n.data(),s=In(n),c=dt(n),p=await Promise.all([s.data(),c.data()]),l=p[0],h=p[1],d=l[0],b=h[0];if(s.dispose(),c.dispose(),n.dtype==="float32"){if(d<0||b>1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but got range [${d} - ${b}].`)}else if(n.dtype==="int32"){if(d<0||b>255)throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but got range [${d} - ${b}].`)}else throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);const x=n.dtype==="float32"?255:1,w=new Uint8ClampedArray(r*o*4);for(let L=0;L<o*r;++L){let S,I,N,A;i===1?(S=a[L]*x,I=a[L]*x,N=a[L]*x,A=255):i===3?(S=a[L*3]*x,I=a[L*3+1]*x,N=a[L*3+2]*x,A=255):i===4&&(S=a[L*4]*x,I=a[L*4+1]*x,N=a[L*4+2]*x,A=a[L*4+3]*x);const E=L*4;w[E+0]=Math.round(S),w[E+1]=Math.round(I),w[E+2]=Math.round(N),w[E+3]=Math.round(A)}if(t!=null){t.width=r,t.height=o;const L=t.getContext("2d"),S=new ImageData(w,r,o);L.putImageData(S,0,0)}return n!==e&&n.dispose(),w}const yI=m({fromPixels_:wI});const uf={};Re(uf,{prepareAndValidate:()=>df});function df(e,t){if(e.rank<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${e.rank}.`);if(t.rank<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${t.rank}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[t.rank-1]>e.rank)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[t.rank-1]} vs. ${e.rank}`);if(e.size===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);const n=t.shape,o=n[n.length-1];let r=1;for(let p=0;p<n.length-1;++p)r*=n[p];const i=e.shape,a=n.slice();a.pop();let s=1;for(let p=o;p<e.rank;++p)s*=i[p],a.push(i[p]);const c=[...Gt(e.shape).map(p=>p/s),1].slice(0,o);return[a,r,s,c]}const mf={};Re(mf,{Serializable:()=>Vh,SerializationMap:()=>io,registerClass:()=>nt});class Vh{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}}class io{constructor(){this.classNameMap={}}static getMap(){return io.instance==null&&(io.instance=new io()),io.instance}static register(e){io.getMap().classNameMap[e.className]=[e,e.fromConfig]}}function nt(e){f(e.className!=null,()=>"Class being registered does not have the static className property defined."),f(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),f(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),io.register(e)}const Lc="2.3.0";class rt extends Vh{minimize(e,t=!1,n){const{value:o,grads:r}=this.computeGradients(e,n);if(n!=null){const i=n.map(a=>({name:a.name,tensor:r[a.name]}));this.applyGradients(i)}else this.applyGradients(r);return ve(r),t?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return Yl(e,t)}dispose(){this.iterations_!=null&&ve(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:C(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}}Object.defineProperty(rt,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});class so extends rt{constructor(e,t,n=null){super();this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=g.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);t.forEach((n,o)=>{const r=g.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:k(()=>W(r).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:k(()=>W(r).variable(i))});const a=Array.isArray(e)?e[o].tensor:e[n];if(a==null)return;const s=this.accumulatedGrads[o].variable,c=this.accumulatedUpdates[o].variable;k(()=>{const p=R(v(s,this.rho),v(H(a),1-this.rho)),l=v(F(me(R(c,this.epsilon)),me(R(s,this.epsilon))),a),h=R(v(c,this.rho),v(H(l),1-this.rho));s.assign(p),c.assign(h);const d=R(v(l,-this.learningRate),r);r.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(ve(this.accumulatedGrads.map(e=>e.variable)),ve(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){const e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);const t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}}so.className="Adadelta";nt(so);class ao extends rt{constructor(e,t=.1){super();this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);t.forEach((n,o)=>{const r=g.registeredVariables[n];if(this.accumulatedGrads[o]==null){const s=!1;this.accumulatedGrads[o]={originalName:`${n}/accumulator`,variable:k(()=>Pe(r.shape,this.initialAccumulatorValue).variable(s))}}const i=Array.isArray(e)?e[o].tensor:e[n];if(i==null)return;const a=this.accumulatedGrads[o].variable;k(()=>{const s=R(a,H(i));a.assign(s);const c=R(v(F(i,me(R(s,g.backend.epsilon()))),-this.learningRate),r);r.assign(c)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&ve(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);const t=!1;this.accumulatedGrads=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}}ao.className="Adagrad";nt(ao);class co extends rt{constructor(e,t,n,o=null){super();this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],k(()=>{this.accBeta1=C(t).variable(),this.accBeta2=C(n).variable()}),o==null&&(this.epsilon=g.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);k(()=>{const n=O(1,this.accBeta1),o=O(1,this.accBeta2);t.forEach((r,i)=>{const a=g.registeredVariables[r],s=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${r}/m`,variable:k(()=>W(a).variable(s))}),this.accumulatedSecondMoment[i]==null&&(this.accumulatedSecondMoment[i]={originalName:`${r}/v`,variable:k(()=>W(a).variable(s))});const c=Array.isArray(e)?e[i].tensor:e[r];if(c==null)return;const p=this.accumulatedFirstMoment[i].variable,l=this.accumulatedSecondMoment[i].variable,h=R(v(p,this.beta1),v(c,1-this.beta1)),d=R(v(l,this.beta2),v(H(c),1-this.beta2)),b=F(h,n),x=F(d,o);p.assign(h),l.assign(d);const w=R(v(F(b,R(me(x),this.epsilon)),-this.learningRate),a);a.assign(w)}),this.accBeta1.assign(v(this.accBeta1,this.beta1)),this.accBeta2.assign(v(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&ve(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&ve(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){const e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),k(()=>{this.accBeta1.assign(Je(this.beta1,this.iterations_+1)),this.accBeta2.assign(Je(this.beta2,this.iterations_+1))});const t=e.length/2,n=!1;this.accumulatedFirstMoment=e.slice(0,t).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}}co.className="Adam";nt(co);class po extends rt{constructor(e,t,n,o=null,r=0){super();this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=o,this.decay=r,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],k(()=>{this.iteration=C(0).variable(),this.accBeta1=C(t).variable()}),o==null&&(this.epsilon=g.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);k(()=>{const n=O(1,this.accBeta1),o=F(-this.learningRate,R(v(this.iteration,this.decay),1));t.forEach((r,i)=>{const a=g.registeredVariables[r],s=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${r}/m`,variable:W(a).variable(s)}),this.accumulatedWeightedInfNorm[i]==null&&(this.accumulatedWeightedInfNorm[i]={originalName:`${r}/v`,variable:W(a).variable(s)});const c=Array.isArray(e)?e[i].tensor:e[r];if(c==null)return;const p=this.accumulatedFirstMoment[i].variable,l=this.accumulatedWeightedInfNorm[i].variable,h=R(v(p,this.beta1),v(c,1-this.beta1)),d=v(l,this.beta2),b=Ee(c),x=kt(d,b);p.assign(h),l.assign(x);const w=R(v(F(o,n),F(h,R(x,this.epsilon))),a);a.assign(w)}),this.iteration.assign(R(this.iteration,1)),this.accBeta1.assign(v(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&ve(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&ve(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}}po.className="Adamax";nt(po);class rn extends rt{constructor(e){super();this.learningRate=e,this.setLearningRate(e)}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);t.forEach((n,o)=>{const r=Array.isArray(e)?e[o].tensor:e[n];if(r==null)return;const i=g.registeredVariables[n];k(()=>{const a=R(v(this.c,r),i);i.assign(a)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=cl(C(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}}rn.className="SGD";nt(rn);class lo extends rn{constructor(e,t,n=!1){super(e);this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=C(this.momentum)}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);t.forEach((n,o)=>{const r=g.registeredVariables[n];if(this.accumulations[o]==null){const s=!1;this.accumulations[o]={originalName:`${n}/momentum`,variable:k(()=>W(r).variable(s))}}const i=this.accumulations[o].variable,a=Array.isArray(e)?e[o].tensor:e[n];if(a==null)return;k(()=>{let s;const c=R(v(this.m,i),a);this.useNesterov?s=R(v(this.c,R(a,v(c,this.m))),r):s=R(v(this.c,c),r),i.assign(c),r.assign(s)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&ve(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);const t=!1;this.accumulations=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}}lo.className="Momentum";nt(lo);class ho extends rt{constructor(e,t=.9,n=0,o=null,r=!1){super();if(this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=o,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=r,o==null&&(this.epsilon=g.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){const t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);t.forEach((n,o)=>{const r=g.registeredVariables[n],i=!1;this.accumulatedMeanSquares[o]==null&&(this.accumulatedMeanSquares[o]={originalName:`${n}/rms`,variable:k(()=>W(r).variable(i))}),this.accumulatedMoments[o]==null&&(this.accumulatedMoments[o]={originalName:`${n}/momentum`,variable:k(()=>W(r).variable(i))}),this.accumulatedMeanGrads[o]==null&&this.centered&&(this.accumulatedMeanGrads[o]={originalName:`${n}/mg`,variable:k(()=>W(r).variable(i))});const a=Array.isArray(e)?e[o].tensor:e[n];if(a==null)return;const s=this.accumulatedMeanSquares[o].variable,c=this.accumulatedMoments[o].variable;k(()=>{const p=R(v(s,this.decay),v(H(a),1-this.decay));if(this.centered){const l=this.accumulatedMeanGrads[o].variable,h=R(v(l,this.decay),v(a,1-this.decay)),d=F(v(a,this.learningRate),me(O(p,R(H(h),this.epsilon)))),b=R(v(c,this.momentum),d);s.assign(p),l.assign(h),c.assign(b);const x=O(r,b);r.assign(x)}else{const l=R(v(s,this.decay),v(H(a),1-this.decay)),h=R(v(c,this.momentum),F(v(a,this.learningRate),me(R(l,this.epsilon))));s.assign(l),c.assign(h);const d=O(r,h);r.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&ve(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&ve(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&ve(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){const e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);const t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedMoments=e.slice(t,t*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}}ho.className="RMSProp";nt(ho);class Tn{static sgd(e){return new rn(e)}static momentum(e,t,n=!1){return new lo(e,t,n)}static rmsprop(e,t=.9,n=0,o=null,r=!1){return new ho(e,t,n,o,r)}static adam(e=.001,t=.9,n=.999,o=null){return new co(e,t,n,o)}static adadelta(e=.001,t=.95,n=null){return new so(e,t,n)}static adamax(e=.002,t=.9,n=.999,o=null,r=0){return new po(e,t,n,o,r)}static adagrad(e,t=.1){return new ao(e,t)}}lo,rn,so,ao,ho,po,co;const LI={sgd:Tn.sgd,momentum:Tn.momentum,adadelta:Tn.adadelta,adagrad:Tn.adagrad,rmsprop:Tn.rmsprop,adamax:Tn.adamax,adam:Tn.adam};const vI=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function SI(){return new Promise(e=>vI(()=>e()))}function II(e,t,n){const o=n*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[o,r]}function TI(e,t,n,o=!0){let r=[];if(o)r=r.concat(t.slice(0)),r.push(e[0]/n),r=r.concat(e.slice(1));else{r=r.concat(e[0]);const i=t.length;for(let a=0;a<i;++a)r=r.concat([e[a+1]/t[a],t[a]]);r=r.concat(e.slice(i+1))}return r}function AI(e,t,n=!0){const o=[];if(n){o.push(t);for(let r=t+1;r<e;++r)r<=2*t?(o.push(r),o.push(r-(t+1))):o.push(r)}else{const r=[],i=[];for(let a=1;a<e;++a)a>=t*2+1||a%2===1?i.push(a):r.push(a);o.push(...r),o.push(0),o.push(...i)}return o}function NI(e,t,n,o=!0){const r=[];o?r.push(e[0]/n):r.push(e[0]*n);for(let i=1;i<e.length;++i)i<=t.length?o?r.push(t[i-1]*e[i]):r.push(e[i]/t[i-1]):r.push(e[i]);return r}function RI(e,t){const n=[0];for(let o=0;o<t;++o)n.push(e[o][0]);return n}function _I(e,t,n){const o=e.slice(0,1);for(let r=0;r<n;++r)o.push(e[r+1]-t[r][0]-t[r][1]);return o}const Kh=1.7580993408473768,Jh=1.0507009873554805;const CI=.3275911,EI=.254829592,OI=-.284496736,kI=1.421413741,DI=-1.453152027,FI=1.061405429;function MI(...e){pe().getBool("IS_TEST")||console.warn(...e)}function UI(...e){pe().getBool("IS_TEST")||console.log(...e)}function WI(e,t){if(e.length!==t.length)throw new Error(`Cannot merge real and imag arrays of different lengths. real:${e.length}, imag: ${t.length}.`);const n=new Float32Array(e.length*2);for(let o=0;o<n.length;o+=2)n[o]=e[o/2],n[o+1]=t[o/2];return n}function BI(e){const t=new Float32Array(e.length/2),n=new Float32Array(e.length/2);for(let o=0;o<e.length;o+=2)t[o/2]=e[o],n[o/2]=e[o+1];return{real:t,imag:n}}function $I(e){const t=Math.ceil(e.length/4),n=new Float32Array(t),o=new Float32Array(t);for(let r=0;r<e.length;r+=4)n[Math.floor(r/4)]=e[r],o[Math.floor(r/4)]=e[r+1];return{real:n,imag:o}}function jI(e){const t=Math.floor(e.length/4),n=new Float32Array(t),o=new Float32Array(t);for(let r=2;r<e.length;r+=4)n[Math.floor(r/4)]=e[r],o[Math.floor(r/4)]=e[r+1];return{real:n,imag:o}}function GI(e,t){const n=e[t*2],o=e[t*2+1];return{real:n,imag:o}}function PI(e,t,n,o){e[o*2]=t,e[o*2+1]=n}function qI(e,t){const n=new Float32Array(e/2),o=new Float32Array(e/2);for(let r=0;r<Math.ceil(e/2);r++){const i=(t?2:-2)*Math.PI*(r/e);n[r]=Math.cos(i),o[r]=Math.sin(i)}return{real:n,imag:o}}function HI(e,t,n){const o=(n?2:-2)*Math.PI*(e/t),r=Math.cos(o),i=Math.sin(o);return{real:r,imag:i}}const ff={};Re(ff,{ERF_A1:()=>EI,ERF_A2:()=>OI,ERF_A3:()=>kI,ERF_A4:()=>DI,ERF_A5:()=>FI,ERF_P:()=>CI,PARALLELIZE_THRESHOLD:()=>Fa,SELU_SCALE:()=>Jh,SELU_SCALEALPHA:()=>Kh,applyActivation:()=>oo,assertAndGetBroadcastShape:()=>q,assertAxesAreInnerMostDims:()=>Vw,assertParamsConsistent:()=>ll,assignToTypedArray:()=>PI,axesAreInnerMostDims:()=>Kp,calculateShapes:()=>gm,castTensor:()=>zI,combineLocations:()=>jd,complexWithEvenIndex:()=>$I,complexWithOddIndex:()=>jI,computeConv2DInfo:()=>je,computeConv3DInfo:()=>Ln,computeDefaultPad:()=>al,computeDilation2DInfo:()=>ax,computeOptimalWindowSize:()=>Ey,computeOutAndReduceShapes:()=>Jp,computeOutShape:()=>hl,computePool2DInfo:()=>_t,computePool3DInfo:()=>Qt,convertConv2DDataFormat:()=>yn,eitherStridesOrDilationsAreOne:()=>le,expandShapeToKeepDim:()=>we,exponent:()=>HI,exponents:()=>qI,getAxesPermutation:()=>ge,getBroadcastDims:()=>gy,getComplexWithIndex:()=>GI,getFusedBiasGradient:()=>no,getFusedDyActivation:()=>to,getImageCenter:()=>II,getInnerMostAxes:()=>De,getPermuted:()=>AI,getReductionAxes:()=>ae,getReshaped:()=>TI,getReshapedPermuted:()=>NI,getSliceBeginCoords:()=>RI,getSliceSize:()=>_I,getUndoAxesPermutation:()=>Un,linspaceImpl:()=>VI,log:()=>UI,mergeRealAndImagArrays:()=>WI,prepareAndValidate:()=>df,prepareSplitSize:()=>Lh,reshapeTensor:()=>YI,segment_util:()=>zd,shouldFuse:()=>ro,splitRealAndImagArrays:()=>BI,tupleValuesAreOne:()=>ct,upcastType:()=>Uo,validateInput:()=>$a,validateUpdateShape:()=>Mh,warn:()=>MI});function 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n=t.length-1;n>0;n--){const o=Math.floor(Math.random()*(n+1)),r=t[n];t[n]=t[o],t[o]=r}return t}function vo(e){return 1/(1+Math.exp(-e))}function Gu(e){return Math.log(e/(1-e))}class No extends de{constructor(e,t,n,o,r=!1){super({x:e,y:t,width:n,height:o},r)}}const cT=.5,pT=.43,lT=.45;class st{constructor(e,t,n=new J(0,0)){const{width:o,height:r}=t;this._imgDims=new Qe(o,r),this._shift=n,this._positions=e.map(i=>i.mul(new J(o,r)).add(n))}get shift(){return new J(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(e=>e.sub(this._shift).div(new J(this.imageWidth,this.imageHeight)))}forSize(e,t){return new this.constructor(this.relativePositions,{width:e,height:t})}shiftBy(e,t){return new this.constructor(this.relativePositions,this._imgDims,new J(e,t))}shiftByPoint(e){return this.shiftBy(e.x,e.y)}align(e,t={}){if(e){const r=e instanceof fe?e.box.floor():new de(e);return this.shiftBy(r.x,r.y).align(null,t)}const{useDlibAlignment:n,minBoxPadding:o}=Object.assign({},{useDlibAlignment:!1,minBoxPadding:.2},t);return n?this.alignDlib():this.alignMinBbox(o)}alignDlib(){const e=this.getRefPointsForAlignment(),[t,n,o]=e,r=l=>o.sub(l).magnitude(),i=(r(t)+r(n))/2,a=Math.floor(i/lT),s=fo(e),c=Math.floor(Math.max(0,s.x-cT*a)),p=Math.floor(Math.max(0,s.y-pT*a));return new No(c,p,Math.min(a,this.imageWidth+c),Math.min(a,this.imageHeight+p))}alignMinBbox(e){const t=oa(this.positions);return t.pad(t.width*e,t.height*e)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}}class gd extends st{getRefPointsForAlignment(){const e=this.positions;return[e[0],e[1],fo([e[3],e[4]])]}}class Ro extends st{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(fo)}}class xr{constructor(e,t){this._label=e,this._distance=t}get label(){return this._label}get distance(){return this._distance}toString(e=!0){return`${this.label}${e?` (${mo(this.distance)})`:""}`}}class wr extends de{constructor(e,t){super(e);this._label=t}static assertIsValidLabeledBox(e,t){if(de.assertIsValidBox(e,t),!Mt(e.label))throw new Error(`${t} - expected property label (${e.label}) to be a number`)}get label(){return this._label}}class xn{constructor(e,t){if(!(typeof e=="string"))throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(t)||t.some(n=>!(n instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=e,this._descriptors=t}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(e=>Array.from(e))}}static fromJSON(e){const t=e.descriptors.map(n=>new Float32Array(n));return new xn(e.label,t)}}class fd extends wr{constructor(e,t,n,o){super(e,t);this._score=n,this._classScore=o}static assertIsValidPredictedBox(e,t){if(wr.assertIsValidLabeledBox(e,t),!Zo(e.score)||!Zo(e.classScore))throw new Error(`${t} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}}function Nt(e){return e.detection instanceof fe}function mn(e,t){const n={detection:t};return Object.assign({},e,n)}function ru(){const e=window.fetch||function(){throw new Error("fetch - missing fetch implementation for browser environment")},t=function(){throw new Error("readFile - filesystem not available for browser environment")};return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),fetch:e,readFile:t}}function tc(e){let t="";if(!e)try{e=require("fs")}catch(o){t=o.toString()}const n=e?function(o){return new Promise((r,i)=>{e.readFile(o,function(a,s){return a?i(a):r(s)})})}:function(){throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)};return{readFile:n}}function iu(){const e=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,n=function(){if(e)return new e();throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},o=function(){if(t)return new t();throw new Error("createImageElement - missing Image implementation for nodejs environment")},r=global.fetch||function(){throw new Error("fetch - missing fetch implementation for nodejs environment")},i=tc();return Ys({Canvas:e||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:n,createImageElement:o,fetch:r},i)}function su(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}const au=gu(Du());let Fe;function hT(){if(!Fe)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return Fe}function cu(e){Fe=e}function pu(){if(su())return cu(ru());if(au.isNodejs())return cu(iu())}function uT(e){if(Fe||pu(),!Fe)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");const{Canvas:t=Fe.Canvas,Image:n=Fe.Image}=e;Fe.Canvas=t,Fe.Image=n,Fe.createCanvasElement=e.createCanvasElement||(()=>new t()),Fe.createImageElement=e.createImageElement||(()=>new n()),Fe.ImageData=e.ImageData||Fe.ImageData,Fe.Video=e.Video||Fe.Video,Fe.fetch=e.fetch||Fe.fetch,Fe.readFile=e.readFile||Fe.readFile}const se={getEnv:hT,setEnv:cu,initialize:pu,createBrowserEnv:ru,createFileSystem:tc,createNodejsEnv:iu,monkeyPatch:uT,isBrowser:su,isNodejs:au.isNodejs};pu();function gn(e){return!se.isNodejs()&&typeof e=="string"?document.getElementById(e):e}function He(e){const{Canvas:t,CanvasRenderingContext2D:n}=se.getEnv();if(e instanceof n)return e;const o=gn(e);if(!(o instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");const r=o.getContext("2d");if(!r)throw new Error("resolveContext2d - canvas 2d context is null");return r}var Kt;(function(e){e.TOP_LEFT="TOP_LEFT",e.TOP_RIGHT="TOP_RIGHT",e.BOTTOM_LEFT="BOTTOM_LEFT",e.BOTTOM_RIGHT="BOTTOM_RIGHT"})(Kt||(Kt={}));class nc{constructor(e={}){const{anchorPosition:t,backgroundColor:n,fontColor:o,fontSize:r,fontStyle:i,padding:a}=e;this.anchorPosition=t||Kt.TOP_LEFT,this.backgroundColor=n||"rgba(0, 0, 0, 0.5)",this.fontColor=o||"rgba(255, 255, 255, 1)",this.fontSize=r||14,this.fontStyle=i||"Georgia",this.padding=a||4}}class Qo{constructor(e,t,n={}){this.text=typeof e=="string"?[e]:e instanceof Qo?e.text:e,this.anchor=t,this.options=new nc(n)}measureWidth(e){const{padding:t}=this.options;return this.text.map(n=>e.measureText(n).width).reduce((n,o)=>n<o?o:n,0)+2*t}measureHeight(){const{fontSize:e,padding:t}=this.options;return this.text.length*e+2*t}getUpperLeft(e,t){const{anchorPosition:n}=this.options,o=n===Kt.BOTTOM_RIGHT||n===Kt.TOP_RIGHT,r=n===Kt.BOTTOM_LEFT||n===Kt.BOTTOM_RIGHT,i=this.measureWidth(e),a=this.measureHeight(),s=o?this.anchor.x-i:this.anchor.x,c=r?this.anchor.y-a:this.anchor.y;if(t){const{width:p,height:l}=t,h=Math.max(Math.min(s,p-i),0),d=Math.max(Math.min(c,l-a),0);return{x:h,y:d}}return{x:s,y:c}}draw(e){const t=gn(e),n=He(t),{backgroundColor:o,fontColor:r,fontSize:i,fontStyle:a,padding:s}=this.options;n.font=`${i}px ${a}`;const c=this.measureWidth(n),p=this.measureHeight();n.fillStyle=o;const l=this.getUpperLeft(n,t);n.fillRect(l.x,l.y,c,p),n.fillStyle=r,this.text.forEach((h,d)=>{const b=s+l.x,x=s+l.y+(d+1)*i;n.fillText(h,b,x)})}}class lb{constructor(e={}){const{boxColor:t,lineWidth:n,label:o,drawLabelOptions:r}=e;this.boxColor=t||"rgba(0, 0, 255, 1)",this.lineWidth=n||2,this.label=o;const i={anchorPosition:Kt.BOTTOM_LEFT,backgroundColor:this.boxColor};this.drawLabelOptions=new nc(Object.assign({},i,r))}}class lu{constructor(e,t={}){this.box=new de(e),this.options=new lb(t)}draw(e){const t=He(e),{boxColor:n,lineWidth:o}=this.options,{x:r,y:i,width:a,height:s}=this.box;t.strokeStyle=n,t.lineWidth=o,t.strokeRect(r,i,a,s);const{label:c}=this.options;c&&new Qo([c],{x:r-o/2,y:i},this.options.drawLabelOptions).draw(e)}}function dT(e,t){const n=Array.isArray(t)?t:[t];n.forEach(o=>{const r=o instanceof fe?o.score:Nt(o)?o.detection.score:void 0,i=o instanceof fe?o.box:Nt(o)?o.detection.box:new de(o),a=r?`${mo(r)}`:void 0;new lu(i,{label:a}).draw(e)})}function To(e){const{Image:t,Video:n}=se.getEnv();return e instanceof t&&e.complete||e instanceof n&&e.readyState>=3}function La(e){return new Promise((t,n)=>{if(e instanceof se.getEnv().Canvas||To(e))return t();function o(i){if(!i.currentTarget)return;i.currentTarget.removeEventListener("load",o),i.currentTarget.removeEventListener("error",r),t(i)}function r(i){if(!i.currentTarget)return;i.currentTarget.removeEventListener("load",o),i.currentTarget.removeEventListener("error",r),n(i)}e.addEventListener("load",o),e.addEventListener("error",r)})}function ya(e){return new Promise((t,n)=>{if(!(e instanceof Blob))return n("bufferToImage - expected buf to be of type: Blob");const o=new FileReader();o.onload=()=>{if(typeof o.result!="string")return n("bufferToImage - expected reader.result to be a string, in onload");const r=se.getEnv().createImageElement();r.onload=()=>t(r),r.onerror=n,r.src=o.result},o.onerror=n,o.readAsDataURL(e)})}function bn(e){const{Image:t,Video:n}=se.getEnv();return e instanceof t?new Qe(e.naturalWidth,e.naturalHeight):e instanceof n?new Qe(e.videoWidth,e.videoHeight):new Qe(e.width,e.height)}function En({width:e,height:t}){const{createCanvasElement:n}=se.getEnv(),o=n();return o.width=e,o.height=t,o}function Ao(e,t){const{ImageData:n}=se.getEnv();if(!(e instanceof n)&&!To(e))throw new Error("createCanvasFromMedia - media has not finished loading yet");const{width:o,height:r}=t||bn(e),i=En({width:o,height:r});return e instanceof n?He(i).putImageData(e,0,0):He(i).drawImage(e,0,0,o,r),i}async function wa(e,t){const n=t||se.getEnv().createCanvasElement(),[o,r,i]=e.shape.slice(gt(e)?1:0),a=k(()=>e.as3D(o,r,i).toInt());return await Jo.toPixels(a,n),a.dispose(),n}function br(e){const{Image:t,Canvas:n,Video:o}=se.getEnv();return e instanceof t||e instanceof n||e instanceof o}function ba(e,t,n=!1){const{Image:o,Canvas:r}=se.getEnv();if(!(e instanceof o||e instanceof r))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");const i=bn(e),a=t/Math.max(i.height,i.width),s=a*i.width,c=a*i.height,p=En({width:t,height:t}),l=e instanceof r?e:Ao(e),h=Math.abs(s-c)/2,d=n&&s<c?h:0,b=n&&c<s?h:0;return He(p).drawImage(l,d,b,s,c),p}class Jt{constructor(e,t=!1){if(this._imageTensors=[],this._canvases=[],this._treatAsBatchInput=!1,this._inputDimensions=[],!Array.isArray(e))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${e}`);this._treatAsBatchInput=t,this._batchSize=e.length,e.forEach((n,o)=>{if(an(n)){this._imageTensors[o]=n,this._inputDimensions[o]=n.shape;return}if(gt(n)){const i=n.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[o]=n,this._inputDimensions[o]=n.shape.slice(1);return}const r=n instanceof se.getEnv().Canvas?n:Ao(n);this._canvases[o]=r,this._inputDimensions[o]=[r.height,r.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return Vt(this.batchSize,0,1).map((e,t)=>this.getReshapedInputDimensions(t))}getInput(e){return this.canvases[e]||this.imageTensors[e]}getInputDimensions(e){return this._inputDimensions[e]}getInputHeight(e){return this._inputDimensions[e][0]}getInputWidth(e){return this._inputDimensions[e][1]}getReshapedInputDimensions(e){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");const t=this.getInputWidth(e),n=this.getInputHeight(e);return ou({width:t,height:n},this.inputSize)}toBatchTensor(e,t=!0){return this._inputSize=e,k(()=>{const n=Vt(this.batchSize,0,1).map(r=>{const i=this.getInput(r);if(i instanceof ee){let a=gt(i)?i:i.expandDims();return a=ta(a,t),(a.shape[1]!==e||a.shape[2]!==e)&&(a=Ka.resizeBilinear(a,[e,e])),a.as3D(e,e,3)}if(i instanceof se.getEnv().Canvas)return Jo.fromPixels(ba(i,e,t));throw new Error(`toBatchTensor - at batchIdx ${r}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)}),o=ke(n.map(r=>_(r,"float32"))).as4D(this.batchSize,e,e,3);return o})}}async function ue(e){if(e instanceof Jt)return e;let t=Array.isArray(e)?e:[e];if(!t.length)throw new Error("toNetInput - empty array passed as input");const n=r=>Array.isArray(e)?` at input index ${r}:`:"",o=t.map(gn);return o.forEach((r,i)=>{if(!br(r)&&!an(r)&&!gt(r))throw typeof t[i]=="string"?new Error(`toNetInput -${n(i)} string passed, but could not resolve HTMLElement for element id ${t[i]}`):new Error(`toNetInput -${n(i)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(gt(r)){const a=r.shape[0];if(a!==1)throw new Error(`toNetInput -${n(i)} tf.Tensor4D with batchSize ${a} passed, but not supported in input array`)}}),await Promise.all(o.map(r=>br(r)&&La(r))),new Jt(o,Array.isArray(e))}async function _n(e,t){const{Canvas:n}=se.getEnv();let o=e;if(!(e instanceof n)){const a=await ue(e);if(a.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");const s=a.getInput(0);o=s instanceof n?s:await wa(s)}const r=He(o),i=t.map(a=>a instanceof fe?a.forSize(o.width,o.height).box.floor():a).map(a=>a.clipAtImageBorders(o.width,o.height));return i.map(({x:a,y:s,width:c,height:p})=>{const l=En({width:c,height:p});return He(l).putImageData(r.getImageData(a,s,c,p),0,0),l})}async function Cn(e,t){if(!an(e)&&!gt(e))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(gt(e)&&e.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return k(()=>{const[n,o,r]=e.shape.slice(gt(e)?1:0),i=t.map(s=>s instanceof fe?s.forSize(o,n).box:s).map(s=>s.clipAtImageBorders(o,n)),a=i.map(({x:s,y:c,width:p,height:l})=>ks(e.as3D(n,o,r),[c,s,0],[l,p,r]));return a})}async function wn(e,t){const n=se.getEnv().fetch,o=await n(e,t);if(!(o.status<400))throw new Error(`failed to fetch: (${o.status}) ${o.statusText}, from url: ${o.url}`);return o}async function md(e){const t=await wn(e),n=await t.blob();if(!n.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${n.type}, for url: ${t.url}`);return ya(n)}async function xa(e){return(await wn(e)).json()}async function dd(e){return new Float32Array(await(await wn(e)).arrayBuffer())}function oc(e,t){const n=`${t}-weights_manifest.json`;if(!e)return{modelBaseUri:"",manifestUri:n};if(e==="/")return{modelBaseUri:"/",manifestUri:`/${n}`};const o=e.startsWith("http://")?"http://":e.startsWith("https://")?"https://":"";e=e.replace(o,"");const r=e.split("/").filter(s=>s),i=e.endsWith(".json")?r[r.length-1]:n;let a=o+(e.endsWith(".json")?r.slice(0,r.length-1):r).join("/");return a=e.startsWith("/")?`/${a}`:a,{modelBaseUri:a,manifestUri:a==="/"?`/${i}`:`${a}/${i}`}}async function ga(e,t){const{manifestUri:n,modelBaseUri:o}=oc(e,t);let r=await xa(n);return Ko.loadWeights(r,o)}function ud(e,t,n=!1){const{width:o,height:r}=n?bn(t):t;return e.width=o,e.height=r,{width:o,height:r}}class Ue{constructor(e){this._name=e,this._params=void 0,this._paramMappings=[];try{const t=Ge([0]);t.toFloat()}catch(t){throw new Error(`module not loaded: load '@tensorflow/tfjs' or '@tensorflow/tfjs-core' with appropriate backend explicitly: ${t}`)}}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(e){const{obj:t,objProp:n}=this.traversePropertyPath(e);return t[n]}reassignParamFromPath(e,t){const{obj:n,objProp:o}=this.traversePropertyPath(e);n[o].dispose(),n[o]=t}getParamList(){return this._paramMappings.map(({paramPath:e})=>({path:e,tensor:this.getParamFromPath(e)}))}getTrainableParams(){return this.getParamList().filter(e=>e.tensor instanceof Ht)}getFrozenParams(){return this.getParamList().filter(e=>!(e.tensor instanceof Ht))}variable(){this.getFrozenParams().forEach(({path:e,tensor:t})=>{this.reassignParamFromPath(e,t.variable())})}freeze(){this.getTrainableParams().forEach(({path:e,tensor:t})=>{const n=Ge(t.dataSync());t.dispose(),this.reassignParamFromPath(e,n)})}dispose(e=!0){this.getParamList().forEach(t=>{if(e&&t.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${t.path}`);t.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:e})=>Array.from(e.dataSync())).reduce((e,t)=>e.concat(t)))}async load(e){if(e instanceof Float32Array){this.extractWeights(e);return}await this.loadFromUri(e)}async loadFromUri(e){if(e&&typeof e!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);const t=await ga(e,this.getDefaultModelName());this.loadFromWeightMap(t)}async loadFromDisk(e){if(e&&typeof e!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);const{readFile:t}=se.getEnv(),{manifestUri:n,modelBaseUri:o}=oc(e,this.getDefaultModelName()),r=c=>Promise.all(c.map(p=>t(p).then(l=>l.buffer))),i=Ko.weightsLoaderFactory(r),a=JSON.parse((await t(n)).toString()),s=await i(a,o);this.loadFromWeightMap(s)}loadFromWeightMap(e){const{paramMappings:t,params:n}=this.extractParamsFromWeigthMap(e);this._paramMappings=t,this._params=n}extractWeights(e){const{paramMappings:t,params:n}=this.extractParams(e);this._paramMappings=t,this._params=n}traversePropertyPath(e){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");const t=e.split("/").reduce((r,i)=>{if(!r.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${e}`);return{obj:r.nextObj,objProp:i,nextObj:r.nextObj[i]}},{nextObj:this.params}),{obj:n,objProp:o}=t;if(!n||!o||!(n[o]instanceof ee))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${e}`);return{obj:n,objProp:o}}}function ot(e,t,n){return k(()=>{let o=Xn(e,t.depthwise_filter,t.pointwise_filter,n,"same");return o=R(o,t.bias),o})}function rc(e,t,n=!1){return k(()=>{const o=ie(n?R(xe(e,t.conv0.filters,[2,2],"same"),t.conv0.bias):ot(e,t.conv0,[2,2])),r=ot(o,t.conv1,[1,1]),i=ie(R(o,r)),a=ot(i,t.conv2,[1,1]);return ie(R(o,R(r,a)))})}function Bs(e,t,n=!1,o=!0){return k(()=>{const r=ie(n?R(xe(e,t.conv0.filters,o?[2,2]:[1,1],"same"),t.conv0.bias):ot(e,t.conv0,o?[2,2]:[1,1])),i=ot(r,t.conv1,[1,1]),a=ie(R(r,i)),s=ot(a,t.conv2,[1,1]),c=ie(R(r,R(i,s))),p=ot(c,t.conv3,[1,1]);return ie(R(r,R(i,R(s,p))))})}function go(e,t,n="same",o=!1){return k(()=>{const r=R(xe(e,t.filters,[1,1],n),t.bias);return o?ie(r):r})}function Xe(e,t){Object.keys(e).forEach(n=>{t.some(o=>o.originalPath===n)||e[n].dispose()})}function er(e,t){return function(n,o,r,i){const a=ft(e(n*o*r*r),[r,r,n,o]),s=ce(e(o));return t.push({paramPath:`${i}/filters`},{paramPath:`${i}/bias`}),{filters:a,bias:s}}}function ic(e,t){return function(n,o,r){const i=mt(e(n*o),[n,o]),a=ce(e(o));return t.push({paramPath:`${r}/weights`},{paramPath:`${r}/bias`}),{weights:i,bias:a}}}class hu{constructor(e,t,n){this.depthwise_filter=e,this.pointwise_filter=t,this.bias=n}}function tr(e,t){return function(n,o,r){const i=ft(e(3*3*n),[3,3,n,1]),a=ft(e(n*o),[1,1,n,o]),s=ce(e(o));return t.push({paramPath:`${r}/depthwise_filter`},{paramPath:`${r}/pointwise_filter`},{paramPath:`${r}/bias`}),new hu(i,a,s)}}function nr(e){return function(t){const n=e(`${t}/depthwise_filter`,4),o=e(`${t}/pointwise_filter`,4),r=e(`${t}/bias`,1);return new hu(n,o,r)}}function it(e,t){return function(n,o,r){const i=e[n];if(!uo(i,o))throw new Error(`expected weightMap[${n}] to be a Tensor${o}D, instead have ${i}`);return t.push({originalPath:n,paramPath:r||n}),i}}function Ze(e){let t=e;function n(r){const i=t.slice(0,r);return t=t.slice(r),i}function o(){return t}return{extractWeights:n,getRemainingWeights:o}}function sc(e,t){const n=er(e,t),o=tr(e,t);function r(a,s,c,p=!1){const l=p?n(a,s,3,`${c}/conv0`):o(a,s,`${c}/conv0`),h=o(s,s,`${c}/conv1`),d=o(s,s,`${c}/conv2`);return{conv0:l,conv1:h,conv2:d}}function i(a,s,c,p=!1){const{conv0:l,conv1:h,conv2:d}=r(a,s,c,p),b=o(s,s,`${c}/conv3`);return{conv0:l,conv1:h,conv2:d,conv3:b}}return{extractDenseBlock3Params:r,extractDenseBlock4Params:i}}function hb(e){const t=[],{extractWeights:n,getRemainingWeights:o}=Ze(e),{extractDenseBlock4Params:r}=sc(n,t),i=r(3,32,"dense0",!0),a=r(32,64,"dense1"),s=r(64,128,"dense2"),c=r(128,256,"dense3");if(o().length!==0)throw new Error(`weights remaing after extract: ${o().length}`);return{paramMappings:t,params:{dense0:i,dense1:a,dense2:s,dense3:c}}}function ac(e){return function(t){const n=e(`${t}/filters`,4),o=e(`${t}/bias`,1);return{filters:n,bias:o}}}function cc(e,t){const n=it(e,t),o=ac(n),r=nr(n);function i(s,c=!1){const p=c?o(`${s}/conv0`):r(`${s}/conv0`),l=r(`${s}/conv1`),h=r(`${s}/conv2`);return{conv0:p,conv1:l,conv2:h}}function a(s,c=!1){const p=c?o(`${s}/conv0`):r(`${s}/conv0`),l=r(`${s}/conv1`),h=r(`${s}/conv2`),d=r(`${s}/conv3`);return{conv0:p,conv1:l,conv2:h,conv3:d}}return{extractDenseBlock3Params:i,extractDenseBlock4Params:a}}function ub(e){const t=[],{extractDenseBlock4Params:n}=cc(e,t),o={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return Xe(e,t),{params:o,paramMappings:t}}class pc extends Ue{constructor(){super("FaceFeatureExtractor")}forwardInput(e){const{params:t}=this;if(!t)throw new Error("FaceFeatureExtractor - load model before inference");return k(()=>{const n=e.toBatchTensor(112,!0),o=[122.782,117.001,104.298],r=wt(n,o).div(C(255));let i=Bs(r,t.dense0,!0);return i=Bs(i,t.dense1),i=Bs(i,t.dense2),i=Bs(i,t.dense3),i=pt(i,[7,7],[2,2],"valid"),i})}async forward(e){return this.forwardInput(await ue(e))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeigthMap(e){return ub(e)}extractParams(e){return hb(e)}}function $s(e,t){return k(()=>R(Y(e,t.weights),t.bias))}function db(e,t,n){const o=[],{extractWeights:r,getRemainingWeights:i}=Ze(e),a=ic(r,o),s=a(t,n,"fc");if(i().length!==0)throw new Error(`weights remaing after extract: ${i().length}`);return{paramMappings:o,params:{fc:s}}}function mb(e){const t=[],n=it(e,t);function o(i){const a=n(`${i}/weights`,2),s=n(`${i}/bias`,1);return{weights:a,bias:s}}const r={fc:o("fc")};return Xe(e,t),{params:r,paramMappings:t}}function lc(e){const t={},n={};return Object.keys(e).forEach(o=>{const r=o.startsWith("fc")?n:t;r[o]=e[o]}),{featureExtractorMap:t,classifierMap:n}}class hc extends Ue{constructor(e,t){super(e);this._faceFeatureExtractor=t}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){const{params:t}=this;if(!t)throw new Error(`${this._name} - load model before inference`);return k(()=>{const n=e instanceof Jt?this.faceFeatureExtractor.forwardInput(e):e;return $s(n.as2D(n.shape[0],-1),t.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){const{params:t,paramMappings:n}=this.extractClassifierParams(e);this._params=t,this._paramMappings=n}extractClassifierParams(e){return db(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeigthMap(e){const{featureExtractorMap:t,classifierMap:n}=lc(e);return this.faceFeatureExtractor.loadFromWeightMap(t),mb(n)}extractParams(e){const t=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),o=n*t+n,r=e.slice(0,e.length-o),i=e.slice(e.length-o);return this.faceFeatureExtractor.extractWeights(r),this.extractClassifierParams(i)}}const da=["neutral","happy","sad","angry","fearful","disgusted","surprised"];class fn{constructor(e){if(e.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${e.length}`);da.forEach((t,n)=>{this[t]=e[n]})}asSortedArray(){return da.map(e=>({expression:e,probability:this[e]})).sort((e,t)=>t.probability-e.probability)}}class ma extends hc{constructor(e=new pc()){super("FaceExpressionNet",e)}forwardInput(e){return k(()=>on(this.runNet(e)))}async forward(e){return this.forwardInput(await ue(e))}async predictExpressions(e){const t=await ue(e),n=await this.forwardInput(t),o=await Promise.all(Ie(n).map(async i=>{const a=await i.data();return i.dispose(),a}));n.dispose();const r=o.map(i=>new fn(i));return t.isBatchInput?r:r[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}}function ha(e){return e.expressions instanceof fn}function mr(e,t){const n={expressions:t};return Object.assign({},e,n)}function mT(e,t,n=.1,o){const r=Array.isArray(t)?t:[t];r.forEach(i=>{const a=i instanceof fn?i:ha(i)?i.expressions:void 0;if(!a)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");const s=a.asSortedArray(),c=s.filter(h=>h.probability>n),p=Nt(i)?i.detection.box.bottomLeft:o||new J(0,0),l=new Qo(c.map(h=>`${h.expression} (${mo(h.probability)})`),p);l.draw(e)})}function dn(e){return Nt(e)&&e.landmarks instanceof st&&e.unshiftedLandmarks instanceof st&&e.alignedRect instanceof fe}function Rn(e,t){const{box:n}=e.detection,o=t.shiftBy(n.x,n.y),r=o.align(),{imageDims:i}=e.detection,a=new fe(e.detection.score,r.rescale(i.reverse()),i),s={landmarks:o,unshiftedLandmarks:t,alignedRect:a};return Object.assign({},e,s)}class fb{constructor(e={}){const{drawLines:t=!0,drawPoints:n=!0,lineWidth:o,lineColor:r,pointSize:i,pointColor:a}=e;this.drawLines=t,this.drawPoints=n,this.lineWidth=o||1,this.pointSize=i||2,this.lineColor=r||"rgba(0, 255, 255, 1)",this.pointColor=a||"rgba(255, 0, 255, 1)"}}class gb{constructor(e,t={}){this.faceLandmarks=e,this.options=new fb(t)}draw(e){const t=He(e),{drawLines:n,drawPoints:o,lineWidth:r,lineColor:i,pointSize:a,pointColor:s}=this.options;if(n&&this.faceLandmarks instanceof Ro&&(t.strokeStyle=i,t.lineWidth=r,sn(t,this.faceLandmarks.getJawOutline()),sn(t,this.faceLandmarks.getLeftEyeBrow()),sn(t,this.faceLandmarks.getRightEyeBrow()),sn(t,this.faceLandmarks.getNose()),sn(t,this.faceLandmarks.getLeftEye(),!0),sn(t,this.faceLandmarks.getRightEye(),!0),sn(t,this.faceLandmarks.getMouth(),!0)),o){t.strokeStyle=s,t.fillStyle=s;const c=p=>{t.beginPath(),t.arc(p.x,p.y,a,0,2*Math.PI),t.fill()};this.faceLandmarks.positions.forEach(c)}}}function fT(e,t){const n=Array.isArray(t)?t:[t];n.forEach(o=>{const r=o instanceof st?o:dn(o)?o.landmarks:void 0;if(!r)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks<WithFaceDetection<{}>> or array thereof");new gb(r).draw(e)})}const Js={};Re(Js,{AnchorPosition:()=>Kt,DrawBox:()=>lu,DrawBoxOptions:()=>lb,DrawFaceLandmarks:()=>gb,DrawFaceLandmarksOptions:()=>fb,DrawTextField:()=>Qo,DrawTextFieldOptions:()=>nc,drawContour:()=>sn,drawDetections:()=>dT,drawFaceExpressions:()=>mT,drawFaceLandmarks:()=>fT});function gT(e,t){const n=er(e,t),o=tr(e,t);function r(a,s,c){const p=o(a,s,`${c}/separable_conv0`),l=o(s,s,`${c}/separable_conv1`),h=n(a,s,1,`${c}/expansion_conv`);return{separable_conv0:p,separable_conv1:l,expansion_conv:h}}function i(a,s){const c=o(a,a,`${s}/separable_conv0`),p=o(a,a,`${s}/separable_conv1`),l=o(a,a,`${s}/separable_conv2`);return{separable_conv0:c,separable_conv1:p,separable_conv2:l}}return{extractConvParams:n,extractSeparableConvParams:o,extractReductionBlockParams:r,extractMainBlockParams:i}}function bb(e,t){const n=[],{extractWeights:o,getRemainingWeights:r}=Ze(e),{extractConvParams:i,extractSeparableConvParams:a,extractReductionBlockParams:s,extractMainBlockParams:c}=gT(o,n),p=i(3,32,3,"entry_flow/conv_in"),l=s(32,64,"entry_flow/reduction_block_0"),h=s(64,128,"entry_flow/reduction_block_1"),d={conv_in:p,reduction_block_0:l,reduction_block_1:h},b={};Vt(t,0,1).forEach(S=>{b[`main_block_${S}`]=c(128,`middle_flow/main_block_${S}`)});const x=s(128,256,"exit_flow/reduction_block"),w=a(256,512,"exit_flow/separable_conv"),L={reduction_block:x,separable_conv:w};if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:n,params:{entry_flow:d,middle_flow:b,exit_flow:L}}}function bT(e,t){const n=it(e,t),o=ac(n),r=nr(n);function i(s){const c=r(`${s}/separable_conv0`),p=r(`${s}/separable_conv1`),l=o(`${s}/expansion_conv`);return{separable_conv0:c,separable_conv1:p,expansion_conv:l}}function a(s){const c=r(`${s}/separable_conv0`),p=r(`${s}/separable_conv1`),l=r(`${s}/separable_conv2`);return{separable_conv0:c,separable_conv1:p,separable_conv2:l}}return{extractConvParams:o,extractSeparableConvParams:r,extractReductionBlockParams:i,extractMainBlockParams:a}}function wb(e,t){const n=[],{extractConvParams:o,extractSeparableConvParams:r,extractReductionBlockParams:i,extractMainBlockParams:a}=bT(e,n),s=o("entry_flow/conv_in"),c=i("entry_flow/reduction_block_0"),p=i("entry_flow/reduction_block_1"),l={conv_in:s,reduction_block_0:c,reduction_block_1:p},h={};Vt(t,0,1).forEach(w=>{h[`main_block_${w}`]=a(`middle_flow/main_block_${w}`)});const d=i("exit_flow/reduction_block"),b=r("exit_flow/separable_conv"),x={reduction_block:d,separable_conv:b};return Xe(e,n),{params:{entry_flow:l,middle_flow:h,exit_flow:x},paramMappings:n}}function xb(e,t,n){return R(xe(e,t.filters,n,"same"),t.bias)}function uu(e,t,n=!0){let o=n?ie(e):e;return o=ot(o,t.separable_conv0,[1,1]),o=ot(ie(o),t.separable_conv1,[1,1]),o=Ae(o,[3,3],[2,2],"same"),o=R(o,xb(e,t.expansion_conv,[2,2])),o}function wT(e,t){let n=ot(ie(e),t.separable_conv0,[1,1]);return n=ot(ie(n),t.separable_conv1,[1,1]),n=ot(ie(n),t.separable_conv2,[1,1]),n=R(n,e),n}class yb extends Ue{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){const{params:t}=this;if(!t)throw new Error("TinyXception - load model before inference");return k(()=>{const n=e.toBatchTensor(112,!0),o=[122.782,117.001,104.298],r=wt(n,o).div(C(256));let i=ie(xb(r,t.entry_flow.conv_in,[2,2]));return i=uu(i,t.entry_flow.reduction_block_0,!1),i=uu(i,t.entry_flow.reduction_block_1),Vt(this._numMainBlocks,0,1).forEach(a=>{i=wT(i,t.middle_flow[`main_block_${a}`])}),i=uu(i,t.exit_flow.reduction_block),i=ie(ot(i,t.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await ue(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeigthMap(e){return wb(e,this._numMainBlocks)}extractParams(e){return bb(e,this._numMainBlocks)}}function Lb(e){const t=[],{extractWeights:n,getRemainingWeights:o}=Ze(e),r=ic(n,t),i=r(512,1,"fc/age"),a=r(512,2,"fc/gender");if(o().length!==0)throw new Error(`weights remaing after extract: ${o().length}`);return{paramMappings:t,params:{fc:{age:i,gender:a}}}}function vb(e){const t=[],n=it(e,t);function o(i){const a=n(`${i}/weights`,2),s=n(`${i}/bias`,1);return{weights:a,bias:s}}const r={fc:{age:o("fc/age"),gender:o("fc/gender")}};return Xe(e,t),{params:r,paramMappings:t}}var Bt;(function(e){e.FEMALE="female",e.MALE="male"})(Bt||(Bt={}));class va extends Ue{constructor(e=new yb(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){const{params:t}=this;if(!t)throw new Error(`${this._name} - load model before inference`);return k(()=>{const n=e instanceof Jt?this.faceFeatureExtractor.forwardInput(e):e,o=pt(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),r=$s(o,t.fc.age).as1D(),i=$s(o,t.fc.gender);return{age:r,gender:i}})}forwardInput(e){return k(()=>{const{age:t,gender:n}=this.runNet(e);return{age:t,gender:on(n)}})}async forward(e){return this.forwardInput(await ue(e))}async predictAgeAndGender(e){const t=await ue(e),n=await this.forwardInput(t),o=Ie(n.age),r=Ie(n.gender),i=o.map((s,c)=>({ageTensor:s,genderTensor:r[c]})),a=await Promise.all(i.map(async({ageTensor:s,genderTensor:c})=>{const p=(await s.data())[0],l=(await c.data())[0],h=l>.5,d=h?Bt.MALE:Bt.FEMALE,b=h?l:1-l;return s.dispose(),c.dispose(),{age:p,gender:d,genderProbability:b}}));return n.age.dispose(),n.gender.dispose(),t.isBatchInput?a:a[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){const{params:t,paramMappings:n}=this.extractClassifierParams(e);this._params=t,this._paramMappings=n}extractClassifierParams(e){return Lb(e)}extractParamsFromWeigthMap(e){const{featureExtractorMap:t,classifierMap:n}=lc(e);return this.faceFeatureExtractor.loadFromWeightMap(t),vb(n)}extractParams(e){const t=512*1+1+(512*2+2),n=e.slice(0,e.length-t),o=e.slice(e.length-t);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(o)}}class uc extends hc{postProcess(e,t,n){const o=n.map(({width:i,height:a})=>{const s=t/Math.max(a,i);return{width:i*s,height:a*s}}),r=o.length;return k(()=>{const i=(l,h)=>ke([Pe([68],l),Pe([68],h)],1).as2D(1,136).as1D(),a=(l,h)=>{const{width:d,height:b}=o[l];return h(d,b)?Math.abs(d-b)/2:0},s=l=>a(l,(h,d)=>h<d),c=l=>a(l,(h,d)=>d<h),p=e.mul(Pe([r,136],t)).sub(ke(Array.from(Array(r),(l,h)=>i(s(h),c(h))))).div(ke(Array.from(Array(r),(l,h)=>i(o[h].width,o[h].height))));return p})}forwardInput(e){return k(()=>{const t=this.runNet(e);return this.postProcess(t,e.inputSize,e.inputDimensions.map(([n,o])=>({height:n,width:o})))})}async forward(e){return this.forwardInput(await ue(e))}async detectLandmarks(e){const t=await ue(e),n=k(()=>Ie(this.forwardInput(t))),o=await Promise.all(n.map(async(r,i)=>{const a=Array.from(await r.data()),s=a.filter((p,l)=>Qa(l)),c=a.filter((p,l)=>!Qa(l));return new Ro(Array(68).fill(0).map((p,l)=>new J(s[l],c[l])),{height:t.getInputHeight(i),width:t.getInputWidth(i)})}));return n.forEach(r=>r.dispose()),t.isBatchInput?o:o[0]}getClassifierChannelsOut(){return 136}}class Io extends uc{constructor(e=new pc()){super("FaceLandmark68Net",e)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}}function Sb(e){const t=[],{extractDenseBlock3Params:n}=cc(e,t),o={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2")};return Xe(e,t),{params:o,paramMappings:t}}function Ib(e){const t=[],{extractWeights:n,getRemainingWeights:o}=Ze(e),{extractDenseBlock3Params:r}=sc(n,t),i=r(3,32,"dense0",!0),a=r(32,64,"dense1"),s=r(64,128,"dense2");if(o().length!==0)throw new Error(`weights remaing after extract: ${o().length}`);return{paramMappings:t,params:{dense0:i,dense1:a,dense2:s}}}class Tb extends Ue{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(e){const{params:t}=this;if(!t)throw new Error("TinyFaceFeatureExtractor - load model before inference");return k(()=>{const n=e.toBatchTensor(112,!0),o=[122.782,117.001,104.298],r=wt(n,o).div(C(255));let i=rc(r,t.dense0,!0);return i=rc(i,t.dense1),i=rc(i,t.dense2),i=pt(i,[14,14],[2,2],"valid"),i})}async forward(e){return this.forwardInput(await ue(e))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeigthMap(e){return Sb(e)}extractParams(e){return Ib(e)}}class ua extends uc{constructor(e=new Tb()){super("FaceLandmark68TinyNet",e)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}}class hd extends Io{}function Ab(e,t){return R(v(e,t.weights),t.biases)}function du(e,t,n,o,r="same"){const{filters:i,bias:a}=t.conv;let s=xe(e,i,n,r);return s=R(s,a),s=Ab(s,t.scale),o?ie(s):s}function Nb(e,t){return du(e,t,[1,1],!0)}function mu(e,t){return du(e,t,[1,1],!1)}function dc(e,t){return du(e,t,[2,2],!0,"valid")}function xT(e,t){function n(s,c,p){const l=e(s),h=l.length/(c*p*p);if(nu(h))throw new Error(`depth has to be an integer: ${h}, weights.length: ${l.length}, numFilters: ${c}, filterSize: ${p}`);return k(()=>K(ft(l,[c,h,p,p]),[2,3,1,0]))}function o(s,c,p,l){const h=n(s,c,p),d=ce(e(c));return t.push({paramPath:`${l}/filters`},{paramPath:`${l}/bias`}),{filters:h,bias:d}}function r(s,c){const p=ce(e(s)),l=ce(e(s));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:p,biases:l}}function i(s,c,p,l){const h=o(s,c,p,`${l}/conv`),d=r(c,`${l}/scale`);return{conv:h,scale:d}}function a(s,c,p,l,h=!1){const d=i((h?.5:1)*s,c,p,`${l}/conv1`),b=i(s,c,p,`${l}/conv2`);return{conv1:d,conv2:b}}return{extractConvLayerParams:i,extractResidualLayerParams:a}}function 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o=It(e,n.conv_0,[1,1]),r=It(o,n.conv_1,[2,2]),i=It(r,n.conv_2,[1,1]),a=It(i,n.conv_3,[2,2]),s=It(a,n.conv_4,[1,1]),c=It(s,n.conv_5,[2,2]),p=It(c,n.conv_6,[1,1]),l=It(p,n.conv_7,[2,2]),h=bo(t,n.box_predictor_0),d=bo(e,n.box_predictor_1),b=bo(r,n.box_predictor_2),x=bo(a,n.box_predictor_3),w=bo(c,n.box_predictor_4),L=bo(l,n.box_predictor_5),S=Z([h.boxPredictionEncoding,d.boxPredictionEncoding,b.boxPredictionEncoding,x.boxPredictionEncoding,w.boxPredictionEncoding,L.boxPredictionEncoding],1),I=Z([h.classPrediction,d.classPrediction,b.classPrediction,x.classPrediction,w.classPrediction,L.classPrediction],1);return{boxPredictions:S,classPredictions:I}})}class bt{constructor({minConfidence:e,maxResults:t}={}){if(this._name="SsdMobilenetv1Options",this._minConfidence=e||.5,this._maxResults=t||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}}class Nn extends Ue{constructor(){super("SsdMobilenetv1")}forwardInput(e){const{params:t}=this;if(!t)throw new Error("SsdMobilenetv1 - load model before inference");return k(()=>{const n=_(e.toBatchTensor(512,!1),"float32"),o=O(v(n,C(.007843137718737125)),C(1)),r=Ob(o,t.mobilenetv1),{boxPredictions:i,classPredictions:a}=Fb(r.out,r.conv11,t.prediction_layer);return Db(i,a,t.output_layer)})}async forward(e){return this.forwardInput(await ue(e))}async locateFaces(e,t={}){const{maxResults:n,minConfidence:o}=new bt(t),r=await ue(e),{boxes:i,scores:a}=this.forwardInput(r),s=i[0],c=a[0];for(let I=1;I<i.length;I++)i[I].dispose(),a[I].dispose();const p=Array.from(await c.data()),l=.5,h=kb(s,p,n,l,o),d=r.getReshapedInputDimensions(0),b=r.inputSize,x=b/d.width,w=b/d.height,L=s.arraySync(),S=h.map(I=>{const[N,A]=[Math.max(0,L[I][0]),Math.min(1,L[I][2])].map(D=>D*w),[E,M]=[Math.max(0,L[I][1]),Math.min(1,L[I][3])].map(D=>D*x);return new fe(p[I],new No(E,N,M-E,A-N),{height:r.getInputHeight(0),width:r.getInputWidth(0)})});return s.dispose(),c.dispose(),S}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeigthMap(e){return Eb(e)}extractParams(e){return Cb(e)}}function vc(e){const t=new Nn();return t.extractWeights(e),t}function Bu(e){return vc(e)}class $u extends Nn{}const Mb=.4,Ub=[new J(.738768,.874946),new J(2.42204,2.65704),new J(4.30971,7.04493),new J(10.246,4.59428),new J(12.6868,11.8741)],Wb=[new J(1.603231,2.094468),new J(6.041143,7.080126),new J(2.882459,3.518061),new J(4.266906,5.178857),new J(9.041765,10.66308)],Bb=[117.001,114.697,97.404],$b="tiny_yolov2_model",jb="tiny_yolov2_separable_conv_model";const mc=e=>typeof e=="number";function Zs(e){if(!e)throw new Error(`invalid config: ${e}`);if(typeof e.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${e.withSeparableConvs}`);if(!mc(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${e.iouThreshold}`);if(!Array.isArray(e.classes)||!e.classes.length||!e.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(e.classes)}`);if(!Array.isArray(e.anchors)||!e.anchors.length||!e.anchors.map(t=>t||{}).every(t=>mc(t.x)&&mc(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(e.anchors)}`);if(e.meanRgb&&(!Array.isArray(e.meanRgb)||e.meanRgb.length!==3||!e.meanRgb.every(mc)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(e.meanRgb)}`)}function or(e){return k(()=>{const t=v(e,C(.10000000149011612));return R(ie(O(e,t)),t)})}function cn(e,t){return k(()=>{let n=qe(e,[[0,0],[1,1],[1,1],[0,0]]);return n=xe(n,t.conv.filters,[1,1],"valid"),n=O(n,t.bn.sub),n=v(n,t.bn.truediv),n=R(n,t.conv.bias),or(n)})}function pn(e,t){return k(()=>{let n=qe(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Xn(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),n=R(n,t.bias),or(n)})}function _T(e,t){const n=er(e,t);function o(a,s){const c=ce(e(a)),p=ce(e(a));return t.push({paramPath:`${s}/sub`},{paramPath:`${s}/truediv`}),{sub:c,truediv:p}}function r(a,s,c){const p=n(a,s,3,`${c}/conv`),l=o(s,`${c}/bn`);return{conv:p,bn:l}}const i=tr(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:r,extractSeparableConvParams:i}}function Gb(e,t,n,o){const{extractWeights:r,getRemainingWeights:i}=Ze(e),a=[],{extractConvParams:s,extractConvWithBatchNormParams:c,extractSeparableConvParams:p}=_T(r,a);let l;if(t.withSeparableConvs){const[h,d,b,x,w,L,S,I,N]=o,A=t.isFirstLayerConv2d?s(h,d,3,"conv0"):p(h,d,"conv0"),E=p(d,b,"conv1"),M=p(b,x,"conv2"),D=p(x,w,"conv3"),$=p(w,L,"conv4"),B=p(L,S,"conv5"),j=I?p(S,I,"conv6"):void 0,te=N?p(I,N,"conv7"):void 0,oe=s(N||I||S,5*n,1,"conv8");l={conv0:A,conv1:E,conv2:M,conv3:D,conv4:$,conv5:B,conv6:j,conv7:te,conv8:oe}}else{const[h,d,b,x,w,L,S,I,N]=o,A=c(h,d,"conv0"),E=c(d,b,"conv1"),M=c(b,x,"conv2"),D=c(x,w,"conv3"),$=c(w,L,"conv4"),B=c(L,S,"conv5"),j=c(S,I,"conv6"),te=c(I,N,"conv7"),oe=s(N,5*n,1,"conv8");l={conv0:A,conv1:E,conv2:M,conv3:D,conv4:$,conv5:B,conv6:j,conv7:te,conv8:oe}}if(i().length!==0)throw new Error(`weights remaing after extract: ${i().length}`);return{params:l,paramMappings:a}}function CT(e,t){const n=it(e,t);function o(s){const c=n(`${s}/sub`,1),p=n(`${s}/truediv`,1);return{sub:c,truediv:p}}function r(s){const c=n(`${s}/filters`,4),p=n(`${s}/bias`,1);return{filters:c,bias:p}}function i(s){const c=r(`${s}/conv`),p=o(`${s}/bn`);return{conv:c,bn:p}}const a=nr(n);return{extractConvParams:r,extractConvWithBatchNormParams:i,extractSeparableConvParams:a}}function Pb(e,t){const n=[],{extractConvParams:o,extractConvWithBatchNormParams:r,extractSeparableConvParams:i}=CT(e,n);let a;if(t.withSeparableConvs){const s=t.filterSizes&&t.filterSizes.length||9;a={conv0:t.isFirstLayerConv2d?o("conv0"):i("conv0"),conv1:i("conv1"),conv2:i("conv2"),conv3:i("conv3"),conv4:i("conv4"),conv5:i("conv5"),conv6:s>7?i("conv6"):void 0,conv7:s>8?i("conv7"):void 0,conv8:o("conv8")}}else a={conv0:r("conv0"),conv1:r("conv1"),conv2:r("conv2"),conv3:r("conv3"),conv4:r("conv4"),conv5:r("conv5"),conv6:r("conv6"),conv7:r("conv7"),conv8:o("conv8")};return Xe(e,n),{params:a,paramMappings:n}}var Qs;(function(e){e[e.XS=224]="XS",e[e.SM=320]="SM",e[e.MD=416]="MD",e[e.LG=608]="LG"})(Qs||(Qs={}));class Wt{constructor({inputSize:e,scoreThreshold:t}={}){if(this._name="TinyYolov2Options",this._inputSize=e||416,this._scoreThreshold=t||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}}class rr extends Ue{constructor(e){super("TinyYolov2");Zs(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,t){let n=cn(e,t.conv0);return n=Ae(n,[2,2],[2,2],"same"),n=cn(n,t.conv1),n=Ae(n,[2,2],[2,2],"same"),n=cn(n,t.conv2),n=Ae(n,[2,2],[2,2],"same"),n=cn(n,t.conv3),n=Ae(n,[2,2],[2,2],"same"),n=cn(n,t.conv4),n=Ae(n,[2,2],[2,2],"same"),n=cn(n,t.conv5),n=Ae(n,[2,2],[1,1],"same"),n=cn(n,t.conv6),n=cn(n,t.conv7),go(n,t.conv8,"valid",!1)}runMobilenet(e,t){let n=this.config.isFirstLayerConv2d?or(go(e,t.conv0,"valid",!1)):pn(e,t.conv0);return n=Ae(n,[2,2],[2,2],"same"),n=pn(n,t.conv1),n=Ae(n,[2,2],[2,2],"same"),n=pn(n,t.conv2),n=Ae(n,[2,2],[2,2],"same"),n=pn(n,t.conv3),n=Ae(n,[2,2],[2,2],"same"),n=pn(n,t.conv4),n=Ae(n,[2,2],[2,2],"same"),n=pn(n,t.conv5),n=Ae(n,[2,2],[1,1],"same"),n=t.conv6?pn(n,t.conv6):n,n=t.conv7?pn(n,t.conv7):n,go(n,t.conv8,"valid",!1)}forwardInput(e,t){const{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return k(()=>{let o=_(e.toBatchTensor(t,!1),"float32");return o=this.config.meanRgb?wt(o,this.config.meanRgb):o,o=o.div(C(256)),this.config.withSeparableConvs?this.runMobilenet(o,n):this.runTinyYolov2(o,n)})}async forward(e,t){return await this.forwardInput(await ue(e),t)}async detect(e,t={}){const{inputSize:n,scoreThreshold:o}=new Wt(t),r=await ue(e),i=await this.forwardInput(r,n),a=k(()=>Ie(i)[0].expandDims()),s={width:r.getInputWidth(0),height:r.getInputHeight(0)},c=await this.extractBoxes(a,r.getReshapedInputDimensions(0),o);i.dispose(),a.dispose();const p=c.map(w=>w.box),l=c.map(w=>w.score),h=c.map(w=>w.classScore),d=c.map(w=>this.config.classes[w.label]),b=na(p.map(w=>w.rescale(n)),l,this.config.iouThreshold,!0),x=b.map(w=>new On(l[w],h[w],d[w],p[w],s));return x}getDefaultModelName(){return""}extractParamsFromWeigthMap(e){return Pb(e,this.config)}extractParams(e){const t=this.config.filterSizes||rr.DEFAULT_FILTER_SIZES,n=t?t.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return Gb(e,this.config,this.boxEncodingSize,t)}async extractBoxes(e,t,n){const{width:o,height:r}=t,i=Math.max(o,r),a=i/o,s=i/r,c=e.shape[1],p=this.config.anchors.length,[l,h,d]=k(()=>{const L=e.reshape([c,c,p,this.boxEncodingSize]),S=L.slice([0,0,0,0],[c,c,p,4]),I=L.slice([0,0,0,4],[c,c,p,1]),N=this.withClassScores?on(L.slice([0,0,0,5],[c,c,p,this.config.classes.length]),3):C(0);return[S,I,N]}),b=[],x=await h.array(),w=await l.array();for(let L=0;L<c;L++)for(let S=0;S<c;S++)for(let I=0;I<p;I++){const N=vo(x[L][S][I][0]);if(!n||N>n){const A=(S+vo(w[L][S][I][0]))/c*a,E=(L+vo(w[L][S][I][1]))/c*s,M=Math.exp(w[L][S][I][2])*this.config.anchors[I].x/c*a,D=Math.exp(w[L][S][I][3])*this.config.anchors[I].y/c*s,$=A-M/2,B=E-D/2,j={row:L,col:S,anchor:I},{classScore:te,label:oe}=this.withClassScores?await this.extractPredictedClass(d,j):{classScore:1,label:0};b.push(Ys({box:new _o($,B,$+M,B+D),score:N,classScore:N*te,label:oe},j))}}return l.dispose(),h.dispose(),d.dispose(),b}async extractPredictedClass(e,t){const{row:n,col:o,anchor:r}=t,i=await e.array();return Array(this.config.classes.length).fill(0).map((a,s)=>i[n][o][r][s]).map((a,s)=>({classScore:a,label:s})).reduce((a,s)=>a.classScore>s.classScore?a:s)}}rr.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];class yo extends rr{constructor(e=!0){const t=Object.assign({},{withSeparableConvs:e,iouThreshold:Mb,classes:["face"]},e?{anchors:Wb,meanRgb:Bb}:{anchors:Ub,withClassScores:!0});super(t)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(e,t){const n=await this.detect(e,t);return n.map(o=>new fe(o.score,o.relativeBox,{width:o.imageWidth,height:o.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?jb:$b}extractParamsFromWeigthMap(e){return super.extractParamsFromWeigthMap(e)}}function Uu(e,t=!0){const n=new yo(t);return n.extractWeights(e),n}class ea extends Wt{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}}class xt{async then(e){return e(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}}async function wo(e,t,n,o,r=({alignedRect:i})=>i){const i=e.map(c=>dn(c)?r(c):c.detection),a=o||(t instanceof ee?await Cn(t,i):await _n(t,i)),s=await n(a);return a.forEach(c=>c instanceof ee&&c.dispose()),s}async function ir(e,t,n,o,r){return wo([e],t,async i=>n(i[0]),o,r)}const qb=.4,Hb=[new J(1.603231,2.094468),new J(6.041143,7.080126),new J(2.882459,3.518061),new J(4.266906,5.178857),new J(9.041765,10.66308)],zb=[117.001,114.697,97.404];class Lo extends rr{constructor(){const e={withSeparableConvs:!0,iouThreshold:qb,classes:["face"],anchors:Hb,meanRgb:zb,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(e)}get anchors(){return this.config.anchors}async locateFaces(e,t){const n=await this.detect(e,t);return n.map(o=>new fe(o.score,o.relativeBox,{width:o.imageWidth,height:o.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeigthMap(e){return super.extractParamsFromWeigthMap(e)}}const re={ssdMobilenetv1:new Nn(),tinyFaceDetector:new Lo(),tinyYolov2:new yo(),faceLandmark68Net:new Io(),faceLandmark68TinyNet:new ua(),faceRecognitionNet:new So(),faceExpressionNet:new ma(),ageGenderNet:new va()},Ic=(e,t)=>re.ssdMobilenetv1.locateFaces(e,t),Pu=(e,t)=>re.tinyFaceDetector.locateFaces(e,t),qu=(e,t)=>re.tinyYolov2.locateFaces(e,t),Tc=e=>re.faceLandmark68Net.detectLandmarks(e),Hu=e=>re.faceLandmark68TinyNet.detectLandmarks(e),zu=e=>re.faceRecognitionNet.computeFaceDescriptor(e),Yu=e=>re.faceExpressionNet.predictExpressions(e),Vu=e=>re.ageGenderNet.predictAgeAndGender(e),Ac=e=>re.ssdMobilenetv1.load(e),Ku=e=>re.tinyFaceDetector.load(e),Ju=e=>re.tinyYolov2.load(e),Xu=e=>re.faceLandmark68Net.load(e),Zu=e=>re.faceLandmark68TinyNet.load(e),Qu=e=>re.faceRecognitionNet.load(e),ed=e=>re.faceExpressionNet.load(e),td=e=>re.ageGenderNet.load(e),nd=Ac,od=Ic,rd=Tc;class Yb extends xt{constructor(e,t,n){super();this.parentTask=e,this.input=t,this.extractedFaces=n}}class qs extends Yb{async run(){const e=await this.parentTask,t=await wo(e,this.input,async n=>await Promise.all(n.map(o=>re.faceExpressionNet.predictExpressions(o))),this.extractedFaces);return e.map((n,o)=>mr(n,t[o]))}withAgeAndGender(){return new Gs(this,this.input)}}class Hs extends Yb{async run(){const e=await this.parentTask;if(!e)return;const t=await ir(e,this.input,n=>re.faceExpressionNet.predictExpressions(n),this.extractedFaces);return mr(e,t)}withAgeAndGender(){return new Ps(this,this.input)}}class cr extends qs{withAgeAndGender(){return new sr(this,this.input)}withFaceDescriptors(){return new hn(this,this.input)}}class pr extends Hs{withAgeAndGender(){return new ar(this,this.input)}withFaceDescriptor(){return new un(this,this.input)}}class Vb extends xt{constructor(e,t,n){super();this.parentTask=e,this.input=t,this.extractedFaces=n}}class Gs extends Vb{async run(){const e=await this.parentTask,t=await wo(e,this.input,async n=>await Promise.all(n.map(o=>re.ageGenderNet.predictAgeAndGender(o))),this.extractedFaces);return e.map((n,o)=>{const{age:r,gender:i,genderProbability:a}=t[o];return gr(dr(n,i,a),r)})}withFaceExpressions(){return new qs(this,this.input)}}class Ps extends Vb{async run(){const e=await this.parentTask;if(!e)return;const{age:t,gender:n,genderProbability:o}=await ir(e,this.input,r=>re.ageGenderNet.predictAgeAndGender(r),this.extractedFaces);return gr(dr(e,n,o),t)}withFaceExpressions(){return new Hs(this,this.input)}}class sr extends Gs{withFaceExpressions(){return new cr(this,this.input)}withFaceDescriptors(){return new hn(this,this.input)}}class ar extends Ps{withFaceExpressions(){return new pr(this,this.input)}withFaceDescriptor(){return new un(this,this.input)}}class la extends xt{constructor(e,t){super();this.parentTask=e,this.input=t}}class hn extends la{async run(){const e=await this.parentTask,t=await wo(e,this.input,n=>Promise.all(n.map(o=>re.faceRecognitionNet.computeFaceDescriptor(o))),null,n=>n.landmarks.align(null,{useDlibAlignment:!0}));return t.map((n,o)=>fr(e[o],n))}withFaceExpressions(){return new cr(this,this.input)}withAgeAndGender(){return new sr(this,this.input)}}class un extends la{async run(){const e=await this.parentTask;if(!e)return;const t=await ir(e,this.input,n=>re.faceRecognitionNet.computeFaceDescriptor(n),null,n=>n.landmarks.align(null,{useDlibAlignment:!0}));return fr(e,t)}withFaceExpressions(){return new pr(this,this.input)}withAgeAndGender(){return new ar(this,this.input)}}class aa extends xt{constructor(e,t,n){super();this.parentTask=e,this.input=t,this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?re.faceLandmark68TinyNet:re.faceLandmark68Net}}class ca extends aa{async run(){const e=await this.parentTask,t=e.map(r=>r.detection),n=this.input instanceof ee?await Cn(this.input,t):await _n(this.input,t),o=await Promise.all(n.map(r=>this.landmarkNet.detectLandmarks(r)));return n.forEach(r=>r instanceof ee&&r.dispose()),e.map((r,i)=>Rn(r,o[i]))}withFaceExpressions(){return new cr(this,this.input)}withAgeAndGender(){return new sr(this,this.input)}withFaceDescriptors(){return new hn(this,this.input)}}class pa extends aa{async run(){const e=await this.parentTask;if(!e)return;const{detection:t}=e,n=this.input instanceof ee?await Cn(this.input,[t]):await _n(this.input,[t]),o=await this.landmarkNet.detectLandmarks(n[0]);return n.forEach(r=>r instanceof ee&&r.dispose()),Rn(e,o)}withFaceExpressions(){return new pr(this,this.input)}withAgeAndGender(){return new ar(this,this.input)}withFaceDescriptor(){return new un(this,this.input)}}class ia extends xt{constructor(e,t=new bt()){super();this.input=e,this.options=t}}class ur extends ia{async run(){const{input:e,options:t}=this,n=t instanceof ea?o=>re.tinyFaceDetector.locateFaces(o,t):t instanceof bt?o=>re.ssdMobilenetv1.locateFaces(o,t):t instanceof Wt?o=>re.tinyYolov2.locateFaces(o,t):null;if(!n)throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | MtcnnOptions | TinyYolov2Options");return n(e)}runAndExtendWithFaceDetections(){return new Promise(async e=>{const t=await this.run();return e(t.map(n=>mn({},n)))})}withFaceLandmarks(e=!1){return new ca(this.runAndExtendWithFaceDetections(),this.input,e)}withFaceExpressions(){return new qs(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Gs(this.runAndExtendWithFaceDetections(),this.input)}}class sa extends ia{async run(){const e=await new ur(this.input,this.options);let t=e[0];return e.forEach(n=>{n.score>t.score&&(t=n)}),t}runAndExtendWithFaceDetection(){return new Promise(async e=>{const t=await this.run();return e(t?mn({},t):void 0)})}withFaceLandmarks(e=!1){return new pa(this.runAndExtendWithFaceDetection(),this.input,e)}withFaceExpressions(){return new Hs(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Ps(this.runAndExtendWithFaceDetection(),this.input)}}function id(e,t=new bt()){return new sa(e,t)}function hr(e,t=new bt()){return new ur(e,t)}async function Nc(e,t){return console.warn("allFacesSsdMobilenetv1 is deprecated and will be removed soon, use the high level api instead"),await hr(e,new bt(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function sd(e,t={}){return console.warn("allFacesTinyYolov2 is deprecated and will be removed soon, use the high level api instead"),await hr(e,new Wt(t)).withFaceLandmarks().withFaceDescriptors()}const ad=Nc;function fa(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");const n=Array.from(e),o=Array.from(t);return Math.sqrt(n.map((r,i)=>r-o[i]).reduce((r,i)=>r+Math.pow(i,2),0))}class Rc{constructor(e,t=.6){this._distanceThreshold=t;const n=Array.isArray(e)?e:[e];if(!n.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let o=1;const r=()=>`person ${o++}`;this._labeledDescriptors=n.map(i=>{if(i instanceof xn)return i;if(i instanceof Float32Array)return new xn(r(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new xn(r(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor<any> | Float32Array | Array<LabeledFaceDescriptors | WithFaceDescriptor<any> | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(e,t){return t.map(n=>fa(n,e)).reduce((n,o)=>n+o,0)/(t.length||1)}matchDescriptor(e){return this.labeledDescriptors.map(({descriptors:t,label:n})=>new xr(n,this.computeMeanDistance(e,t))).reduce((t,n)=>t.distance<n.distance?t:n)}findBestMatch(e){const t=this.matchDescriptor(e);return t.distance<this.distanceThreshold?t:new xr("unknown",t.distance)}toJSON(){return{distanceThreshold:this.distanceThreshold,labeledDescriptors:this.labeledDescriptors.map(e=>e.toJSON())}}static fromJSON(e){const t=e.labeledDescriptors.map(n=>xn.fromJSON(n));return new Rc(t,e.distanceThreshold)}}function Wu(e){const t=new Lo();return t.extractWeights(e),t}function Sc(e,t){const{width:n,height:o}=new Qe(t.width,t.height);if(n<=0||o<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:n,height:o})}`);if(Array.isArray(e))return e.map(r=>Sc(r,{width:n,height:o}));if(dn(e)){const r=e.detection.forSize(n,o),i=e.unshiftedLandmarks.forSize(r.box.width,r.box.height);return Rn(mn(e,r),i)}return Nt(e)?mn(e,e.detection.forSize(n,o)):e instanceof st||e instanceof fe?e.forSize(n,o):e}var Fu="0.4.5";return bd();})();
 /**
  * @license
  * Copyright 2017 Google LLC. All Rights Reserved.
diff --git a/dist/face-api.min.js.map b/dist/face-api.min.js.map
index 84693a0..ff6201c 100644
--- a/dist/face-api.min.js.map
+++ b/dist/face-api.min.js.map
@@ -1,7 +1,7 @@
 {
   "version": 3,
-  "sources": ["node_modules/seedrandom/lib/alea.js", "node_modules/seedrandom/lib/xor128.js", "node_modules/seedrandom/lib/xorwow.js", "node_modules/seedrandom/lib/xorshift7.js", "node_modules/seedrandom/lib/xor4096.js", "node_modules/seedrandom/lib/tychei.js", "disabled:crypto", "node_modules/seedrandom/seedrandom.js", "node_modules/seedrandom/index.js", "build/env/../../src/env/isNodejs.ts", "build/../src/index.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/environment.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/global_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/kernel_names.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/kernel_registry.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/profiler.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tape.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_format.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/types.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/engine.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/device_util.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/flags.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/tensor_util_env.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/operation.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/abs.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/acos.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/acosh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/add.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/add_n.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/axis_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reshape.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/transpose.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/all.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/any.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/arg_max.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/arg_min.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/asin.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/asinh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/atan.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/atan2.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/atanh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cast.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/avg_pool.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/globals.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/avg_pool_3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor_ops_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/mat_mul.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/mul.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sigmoid.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/slice_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/slice.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tanh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/basic_lstm_cell.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batch_to_space_nd.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/batchnorm4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/clone.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/broadcast_to.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/buffer.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/ceil.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/clip_by_value.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/complex.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/concat_4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv2d_backprop_input.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv2d_transpose.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv3d_backprop_input.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/conv3d_transpose.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cos.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cosh.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/cumsum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/depth_to_space.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/depthwise_conv2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/diag.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/dilation2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/floorDiv.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/div.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/broadcast_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/where.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/zeros_like.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/div_no_nan.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/dot.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/elu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/erf.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/exp.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/expand_dims.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/expm1.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tile.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/eye.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/fft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/fill.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/floor.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reduce_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/segment_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/gather.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/greater.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/greater_equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/ifft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/imag.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/real.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/scalar.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/irfft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/is_finite.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/is_inf.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/is_nan.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/maximum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/leaky_relu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/less.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/less_equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/linspace.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/local_response_normalization.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/log.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/log1p.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/gradients.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/neg.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/softplus.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/log_sigmoid.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/max.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sub.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/sum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/log_softmax.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/log_sum_exp.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/logical_and.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/logical_not.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/logical_or.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/logical_xor.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/max_pool.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/max_pool_3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/max_pool_with_argmax.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/zeros.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/ones.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/mean.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/min.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/minimum.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/mod.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/square.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/moments.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/multi_rnn_cell.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/multinomial.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/not_equal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/one_hot.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/ones_like.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/outer_product.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pad.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pad1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pad2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pad3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pad4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/space_to_batch_nd.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pool.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/pow.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/prelu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/print.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/prod.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/rand.ts", "node_modules/@tensorflow/tfjs-core/dist/../src/test_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/rand_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/random_gamma.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/random_normal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/random_uniform.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/tensor1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/range.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reciprocal.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/relu.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/relu6.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse_1d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse_2d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse_3d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/reverse_4d.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/split_util.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/split.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/rfft.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/round.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/rsqrt.ts", "node_modules/@tensorflow/tfjs-core/dist/ops/../../src/ops/selu.ts", 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"build/src/tinyFaceDetector/../../../src/tinyFaceDetector/index.ts", "build/src/../../src/resizeResults.ts"],
   "sourcesContent": ["// A port of an algorithm by Johannes Baag\u00F8e <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null],
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   "names": []
 }
diff --git a/package.json b/package.json
index 4ae9eca..fefd05f 100644
--- a/package.json
+++ b/package.json
@@ -7,17 +7,17 @@
   "browser": "dist/face-api.js",
   "jsdelivr": "dist/face-api.js",
   "unpkg": "dist/face-api.js",
-  "typings": "./build/index.d.ts",
+  "typings": "./build/src/index.d.ts",
   "engines": {
     "node": ">=12.0.0"
   },
   "type": "module",
   "scripts": {
     "compile": "tsc",
-    "cjs": "esbuild --bundle --outfile=./dist/face-api.cjs --target=es2017 --platform=node --format=cjs --sourcemap --log-level=error --tsconfig=./tsconfig.json build/index.js",
-    "esm": "esbuild --bundle --outfile=./dist/face-api.ejs --target=es2017 --platform=browser --format=esm --sourcemap --log-level=error --tsconfig=./tsconfig.json build/index.js",
-    "iife": "esbuild --bundle --outfile=./dist/face-api.js --target=es2017 --platform=browser --format=iife --global-name=faceapi --sourcemap --log-level=error --tsconfig=./tsconfig.json build/index.js",
-    "minify": "esbuild --bundle --outfile=./dist/face-api.min.js --target=es2017 --platform=browser --format=iife --sourcemap --global-name=faceapi --log-level=error --minify --tsconfig=./tsconfig.json build/index.js",
+    "cjs": "esbuild --bundle --outfile=./dist/face-api.cjs --target=es2017 --platform=node --format=cjs --sourcemap --log-level=error --tsconfig=./tsconfig.json build/src/index.js",
+    "esm": "esbuild --bundle --outfile=./dist/face-api.ejs --target=es2017 --platform=browser --format=esm --sourcemap --log-level=error --tsconfig=./tsconfig.json build/src/index.js",
+    "iife": "esbuild --bundle --outfile=./dist/face-api.js --target=es2017 --platform=browser --format=iife --global-name=faceapi --sourcemap --log-level=error --tsconfig=./tsconfig.json build/src/index.js",
+    "minify": "esbuild --bundle --outfile=./dist/face-api.min.js --target=es2017 --platform=browser --format=iife --sourcemap --global-name=faceapi --log-level=error --minify --tsconfig=./tsconfig.json build/src/index.js",
     "build": "npm run compile && npm run cjs && npm run esm && npm run iife && npm run minify"
   },
   "keywords": [
diff --git a/src/NeuralNetwork.ts b/src/NeuralNetwork.ts
index 571e175..2dd4e1e 100644
--- a/src/NeuralNetwork.ts
+++ b/src/NeuralNetwork.ts
@@ -10,7 +10,14 @@ export abstract class NeuralNetwork<TNetParams> {
   protected _params: TNetParams | undefined = undefined
   protected _paramMappings: ParamMapping[] = []
 
-  constructor(protected _name: string) {}
+  constructor(protected _name: string) {
+    try {
+      const testTensor = tf.tensor([0]);
+      testTensor.toFloat();
+    } catch (err) {
+      throw new Error(`module not loaded: load '@tensorflow/tfjs' or '@tensorflow/tfjs-core' with appropriate backend explicitly: ${err}`)
+     }
+  }
 
   public get params(): TNetParams | undefined { return this._params }
   public get paramMappings(): ParamMapping[] { return this._paramMappings }
diff --git a/src/dom/NetInput.ts b/src/dom/NetInput.ts
index 312301d..c6560b3 100644
--- a/src/dom/NetInput.ts
+++ b/src/dom/NetInput.ts
@@ -147,7 +147,8 @@ export class NetInput {
         throw new Error(`toBatchTensor - at batchIdx ${batchIdx}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${input}`)
       })
 
-      const batchTensor = tf.stack(inputTensors.map(t => t.toFloat())).as4D(this.batchSize, inputSize, inputSize, 3)
+      // const batchTensor = tf.stack(inputTensors.map(t => t.toFloat())).as4D(this.batchSize, inputSize, inputSize, 3)
+      const batchTensor = tf.stack(inputTensors.map(t => tf.cast(t, 'float32'))).as4D(this.batchSize, inputSize, inputSize, 3)
 
       return batchTensor
     })
diff --git a/src/faceRecognitionNet/FaceRecognitionNet.ts b/src/faceRecognitionNet/FaceRecognitionNet.ts
index daf5d21..9e03c62 100644
--- a/src/faceRecognitionNet/FaceRecognitionNet.ts
+++ b/src/faceRecognitionNet/FaceRecognitionNet.ts
@@ -25,7 +25,8 @@ export class FaceRecognitionNet extends NeuralNetwork<NetParams> {
     }
 
     return tf.tidy(() => {
-      const batchTensor = input.toBatchTensor(150, true).toFloat()
+      // const batchTensor = input.toBatchTensor(150, true).toFloat()
+      const batchTensor = tf.cast(input.toBatchTensor(150, true), 'float32');
 
       const meanRgb = [122.782, 117.001, 104.298]
       const normalized = normalize(batchTensor, meanRgb).div(tf.scalar(256)) as tf.Tensor4D
diff --git a/src/index.ts b/src/index.ts
index 4794f31..99c3e7a 100644
--- a/src/index.ts
+++ b/src/index.ts
@@ -1,8 +1,8 @@
-const test = 'test';
 import * as tf from '@tensorflow/tfjs-core';
 import * as draw from './draw';
 import * as utils from './utils';
-export { draw, utils, tf, test };
+export { draw, utils, tf };
+
 export * from './ageGenderNet/index';
 export * from './classes/index';
 export * from './dom/index'
@@ -19,3 +19,6 @@ export * from './tinyYolov2/index';
 export * from './euclideanDistance';
 export * from './NeuralNetwork';
 export * from './resizeResults';
+
+import * as pkg from '../package.json';
+export const version = { faceapi: pkg.version, tfjs_core: tf.version_core, env: tf.ENV.getFlags() };
diff --git a/src/ops/padToSquare.ts b/src/ops/padToSquare.ts
index bf7222a..9731298 100644
--- a/src/ops/padToSquare.ts
+++ b/src/ops/padToSquare.ts
@@ -42,7 +42,9 @@ export function padToSquare(
       paddingTensorAppend
     ]
       .filter(t => !!t)
-      .map((t: tf.Tensor) => t.toFloat()) as tf.Tensor4D[]
+      // .map((t: tf.Tensor) => t.toFloat()) as tf.Tensor4D[]
+      .map((t: tf.Tensor) => tf.cast(t, 'float32')) as tf.Tensor4D[]
     return tf.concat(tensorsToStack, paddingAxis)
+
   })
 }
\ No newline at end of file
diff --git a/src/ssdMobilenetv1/SsdMobilenetv1.ts b/src/ssdMobilenetv1/SsdMobilenetv1.ts
index 64e7f56..6457a91 100644
--- a/src/ssdMobilenetv1/SsdMobilenetv1.ts
+++ b/src/ssdMobilenetv1/SsdMobilenetv1.ts
@@ -29,7 +29,8 @@ export class SsdMobilenetv1 extends NeuralNetwork<NetParams> {
     }
 
     return tf.tidy(() => {
-      const batchTensor = input.toBatchTensor(512, false).toFloat()
+      // const batchTensor = input.toBatchTensor(512, false).toFloat()
+      const batchTensor = tf.cast(input.toBatchTensor(512, false), 'float32');
 
       const x = tf.sub(tf.mul(batchTensor, tf.scalar(0.007843137718737125)), tf.scalar(1)) as tf.Tensor4D
       const features = mobileNetV1(x, params.mobilenetv1)
diff --git a/src/tinyYolov2/TinyYolov2Base.ts b/src/tinyYolov2/TinyYolov2Base.ts
index 1db452c..92d950e 100644
--- a/src/tinyYolov2/TinyYolov2Base.ts
+++ b/src/tinyYolov2/TinyYolov2Base.ts
@@ -99,7 +99,8 @@ export class TinyYolov2Base extends NeuralNetwork<TinyYolov2NetParams> {
 
     return tf.tidy(() => {
 
-      let batchTensor = input.toBatchTensor(inputSize, false).toFloat()
+      // let batchTensor = input.toBatchTensor(inputSize, false).toFloat()
+      let batchTensor = tf.cast(input.toBatchTensor(inputSize, false), 'float32');
       batchTensor = this.config.meanRgb
         ? normalize(batchTensor, this.config.meanRgb)
         : batchTensor
diff --git a/tsconfig.json b/tsconfig.json
index aa6def7..d23ba11 100644
--- a/tsconfig.json
+++ b/tsconfig.json
@@ -1,39 +1,39 @@
 {
   "compilerOptions": {
-    "allowSyntheticDefaultImports": true,
+    "allowSyntheticDefaultImports": false,
     "allowUnreachableCode": false,
     "allowUnusedLabels": false,
     "alwaysStrict": true,
     "declaration": true,
     "declarationMap": true,
-    "emitDecoratorMetadata": true,
-    "esModuleInterop": true,
+    "emitDecoratorMetadata": false,
+    "esModuleInterop": false,
     "experimentalDecorators": true,
     "importHelpers": true,
     "incremental": false,
+    "lib": ["es2018", "dom"],
     "listFiles": false,
+    "module": "es2020",
+    "moduleResolution": "node",
     "noFallthroughCasesInSwitch": true,
     "noImplicitAny": true,
     "noImplicitReturns": true,
     "noImplicitThis": true,
     "noUnusedLocals": false,
     "noUnusedParameters": false,
+    "outDir": "build",
     "preserveConstEnums": true,
     "pretty": true,
     "removeComments": false,
+    "resolveJsonModule": true,
     "skipLibCheck": true,
     "sourceMap": true,
     "strict": false,
     "strictNullChecks": true,
     "suppressImplicitAnyIndexErrors": true,
-    "outDir": "build",
-    "module": "es2020",
-    "moduleResolution": "node",
     "target": "es2018",
-    "lib": ["es2018", "dom"],
     "typeRoots": ["typings", "node_modules/@types"]
   },
   "formatCodeOptions": { "indentSize": 2, "tabSize": 2 },
-  "exclude": ["node_modules", "dist"],
   "include": ["src"]
 }
\ No newline at end of file