release preview

.build.json

@@ -13,7 +13,7 @@
     "locations": ["dist/*", "typedoc/*", "types/lib/src"]
   },
   "lint": {
-    "locations": [ "src/**" ],
+    "locations": [ "src/" ],
     "rules": { }
   },
   "changelog": {

.gitignore

@@ -1,3 +1,2 @@
 node_modules
 pnpm-lock.yaml
-

CHANGELOG.md

@@ -11,6 +11,7 @@
   
 ### **HEAD -> master** 2021/12/01 mandic00@live.com
 
+- rebuild
 
 ### **1.5.8** 2021/11/30 mandic00@live.com
 
@@ -26,7 +27,6 @@
 
 ### **1.5.5** 2021/10/19 mandic00@live.com
 
-- rebuild
 - allow backend change in demo via url params
 - add node-match demo
 - fix face matcher

dist/face-api.esm-nobundle.js

@@ -2137,7 +2137,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
 }
 
 // package.json
-var version10 = "1.5.8";
+var version10 = "1.6.0";
 
 // src/xception/extractParams.ts
 function extractorsFactory2(extractWeights, paramMappings) {

dist/face-api.esm.js

@@ -72894,7 +72894,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
 }
 
 // package.json
-var version9 = "1.5.8";
+var version9 = "1.6.0";
 
 // src/xception/extractParams.ts
 function extractorsFactory2(extractWeights, paramMappings) {

dist/face-api.node-gpu.js

@@ -2292,7 +2292,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
 }
 
 // package.json
-var version = "1.5.8";
+var version = "1.6.0";
 
 // src/ageGenderNet/AgeGenderNet.ts
 var tf20 = __toModule(require_tfjs_esm());

dist/face-api.node.js

@@ -2292,7 +2292,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
 }
 
 // package.json
-var version = "1.5.8";
+var version = "1.6.0";
 
 // src/ageGenderNet/AgeGenderNet.ts
 var tf20 = __toModule(require_tfjs_esm());

dist/tfjs.esm.d.ts

@@ -20,4 +20,7 @@ export declare const version: {
   tfjs: string;
 };
 
-export { Tensor, TensorLike, Rank, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, NamedTensorMap } from '@tensorflow/tfjs-core/dist/index';
+// export { io, browser, image } from '@tensorflow/tfjs-core';
+export { tensor, tidy, softmax, unstack, relu, add, conv2d, cast, zeros, concat, avgPool, stack, fill, transpose, tensor1d, tensor2d, tensor3d, tensor4d, maxPool, matMul, mul, sub, scalar } from '@tensorflow/tfjs-core';
+export { div, pad, slice, reshape, slice3d, expandDims, depthwiseConv2d, separableConv2d, sigmoid, exp, tile, batchNorm, clipByValue } from '@tensorflow/tfjs-core';
+export { ENV, Variable, Tensor, TensorLike, Rank, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, NamedTensorMap } from '@tensorflow/tfjs-core';

src/dom/NetInput.ts

@@ -47,8 +47,9 @@ export class NetInput {
         return;
       }
 
+      // @ts-ignore
       const canvas = (input as any) instanceof env.getEnv().Canvas ? input : createCanvasFromMedia(input);
-      this._canvases[idx] = canvas;
+      this._canvases[idx] = canvas as HTMLCanvasElement;
       this._inputDimensions[idx] = [canvas.height, canvas.width, 3];
     });
   }
@@ -127,10 +128,10 @@ export class NetInput {
 
         if (input instanceof tf.Tensor) {
           let imgTensor = isTensor4D(input) ? input : tf.expandDims(input);
-          imgTensor = padToSquare(imgTensor, isCenterInputs);
+          imgTensor = padToSquare(imgTensor as tf.Tensor4D, isCenterInputs);
 
           if (imgTensor.shape[1] !== inputSize || imgTensor.shape[2] !== inputSize) {
-            imgTensor = tf.image.resizeBilinear(imgTensor, [inputSize, inputSize], false, false);
+            imgTensor = tf.image.resizeBilinear(imgTensor as tf.Tensor4D, [inputSize, inputSize], false, false);
           }
 
           return imgTensor.as3D(inputSize, inputSize, 3);

src/faceRecognitionNet/FaceRecognitionNet.ts

@@ -51,7 +51,7 @@ export class FaceRecognitionNet extends NeuralNetwork<NetParams> {
       const globalAvg = out.mean([1, 2]) as tf.Tensor2D;
       const fullyConnected = tf.matMul(globalAvg, params.fc);
 
-      return fullyConnected;
+      return fullyConnected as tf.Tensor2D;
     });
   }
 
@@ -60,6 +60,7 @@ export class FaceRecognitionNet extends NeuralNetwork<NetParams> {
   }
 
   public async computeFaceDescriptor(input: TNetInput): Promise<Float32Array|Float32Array[]> {
+    // @ts-ignore
     if (input?.shape?.some((dim) => dim <= 0)) return new Float32Array(128);
     const netInput = await toNetInput(input);
     const faceDescriptorTensors = tf.tidy(() => tf.unstack(this.forwardInput(netInput)));

src/ops/padToSquare.ts

@@ -25,7 +25,7 @@ export function padToSquare(imgTensor: tf.Tensor4D, isCenterImage = false): tf.T
     const paddingTensorPrepend = isCenterImage && remainingPaddingAmount ? createPaddingTensor(remainingPaddingAmount) : null;
     const tensorsToStack = [paddingTensorPrepend, imgTensor, paddingTensorAppend]
       .filter((t) => !!t)
-      .map((t: tf.Tensor) => tf.cast(t, 'float32')) as tf.Tensor4D[];
+      .map((t) => tf.cast(t as tf.Tensor4D, 'float32')) as tf.Tensor4D[];
     return tf.concat(tensorsToStack, paddingAxis);
   });
 }

types/lib/dist/tfjs.esm.d.ts

@@ -20,4 +20,7 @@ export declare const version: {
   tfjs: string;
 };
 
-export { Tensor, TensorLike, Rank, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, NamedTensorMap } from '@tensorflow/tfjs-core/dist/index';
+// export { io, browser, image } from '@tensorflow/tfjs-core';
+export { tensor, tidy, softmax, unstack, relu, add, conv2d, cast, zeros, concat, avgPool, stack, fill, transpose, tensor1d, tensor2d, tensor3d, tensor4d, maxPool, matMul, mul, sub, scalar } from '@tensorflow/tfjs-core';
+export { div, pad, slice, reshape, slice3d, expandDims, depthwiseConv2d, separableConv2d, sigmoid, exp, tile, batchNorm, clipByValue } from '@tensorflow/tfjs-core';
+export { ENV, Variable, Tensor, TensorLike, Rank, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, NamedTensorMap } from '@tensorflow/tfjs-core';