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human
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implemented face and hand boundary checks

pull/50/head
Vladimir Mandic 2020-12-08 10:50:26 -05:00
parent 3197c1cfee
commit a0aa1bd8da
25 changed files with 741 additions and 166 deletions
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assets/human-sample-body.jpg Executable file
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assets/human.jpg → assets/human-sample-face.jpg
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2
config.js
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@ -132,7 +132,7 @@ export default {
inputSize: 257, // fixed value inputSize: 257, // fixed value
maxDetections: 10, // maximum number of people detected in the input maxDetections: 10, // maximum number of people detected in the input
// should be set to the minimum number for performance // should be set to the minimum number for performance
scoreThreshold: 0.8, // threshold for deciding when to remove boxes based on score scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score
// in non-maximum suppression // in non-maximum suppression
nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression
}, },

2
demo/node.js
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@ -37,8 +37,6 @@ async function detect(input) {
const decoded = human.tf.node.decodeImage(buffer); const decoded = human.tf.node.decodeImage(buffer);
const casted = decoded.toFloat(); const casted = decoded.toFloat();
const image = casted.expandDims(0); const image = casted.expandDims(0);
// console.log(image.arraySync());
fs.writeFileSync('q.json', JSON.stringify(image.arraySync()));
decoded.dispose(); decoded.dispose();
casted.dispose(); casted.dispose();
// image shape contains image dimensions and depth // image shape contains image dimensions and depth

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dist/demo-browser-index.js vendored
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dist/demo-browser-index.json vendored
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@ -1,7 +1,7 @@
{ {
"inputs": { "inputs": {
"dist/human.esm.js": { "dist/human.esm.js": {
"bytes": 1786858, "bytes": 1786694,
"imports": [] "imports": []
}, },
"demo/draw.js": { "demo/draw.js": {
@ -38,17 +38,17 @@
"dist/demo-browser-index.js.map": { "dist/demo-browser-index.js.map": {
"imports": [], "imports": [],
"inputs": {}, "inputs": {},
"bytes": 2692349 "bytes": 2746528
}, },
"dist/demo-browser-index.js": { "dist/demo-browser-index.js": {
"imports": [], "imports": [],
"exports": [], "exports": [],
"inputs": { "inputs": {
"dist/human.esm.js": { "dist/human.esm.js": {
"bytesInOutput": 1779617 "bytesInOutput": 1779454
}, },
"demo/draw.js": { "demo/draw.js": {
"bytesInOutput": 7776 "bytesInOutput": 7816
}, },
"demo/menu.js": { "demo/menu.js": {
"bytesInOutput": 11800 "bytesInOutput": 11800
@ -57,10 +57,10 @@
"bytesInOutput": 7382 "bytesInOutput": 7382
}, },
"demo/browser.js": { "demo/browser.js": {
"bytesInOutput": 19363 "bytesInOutput": 19361
} }
}, },
"bytes": 1833327 "bytes": 1833202
} }
} }
} }

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dist/human.esm.js vendored
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dist/human.esm.json vendored
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@ -9,7 +9,7 @@
"imports": [] "imports": []
}, },
"src/face/blazeface.js": { "src/face/blazeface.js": {
"bytes": 6993, "bytes": 6986,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -53,7 +53,7 @@
] ]
}, },
"src/face/facemesh.js": { "src/face/facemesh.js": {
"bytes": 2675, "bytes": 2798,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -81,7 +81,7 @@
] ]
}, },
"src/age/age.js": { "src/age/age.js": {
"bytes": 1950, "bytes": 1943,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -95,7 +95,7 @@
] ]
}, },
"src/gender/gender.js": { "src/gender/gender.js": {
"bytes": 3391, "bytes": 3384,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -109,7 +109,7 @@
] ]
}, },
"src/emotion/emotion.js": { "src/emotion/emotion.js": {
"bytes": 2988, "bytes": 2981,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -123,7 +123,7 @@
] ]
}, },
"src/embedding/embedding.js": { "src/embedding/embedding.js": {
"bytes": 2048, "bytes": 2041,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -180,7 +180,7 @@
] ]
}, },
"src/body/decodePose.js": { "src/body/decodePose.js": {
"bytes": 4540, "bytes": 4530,
"imports": [ "imports": [
{ {
"path": "src/body/keypoints.js" "path": "src/body/keypoints.js"
@ -191,7 +191,7 @@
] ]
}, },
"src/body/decodeMultiple.js": { "src/body/decodeMultiple.js": {
"bytes": 5605, "bytes": 5608,
"imports": [ "imports": [
{ {
"path": "src/body/buildParts.js" "path": "src/body/buildParts.js"
@ -213,7 +213,7 @@
] ]
}, },
"src/body/modelPoseNet.js": { "src/body/modelPoseNet.js": {
"bytes": 1912, "bytes": 1905,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -294,7 +294,7 @@
"imports": [] "imports": []
}, },
"src/hand/handpose.js": { "src/hand/handpose.js": {
"bytes": 3122, "bytes": 3194,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -340,7 +340,7 @@
"imports": [] "imports": []
}, },
"src/sample.js": { "src/sample.js": {
"bytes": 11662, "bytes": 55374,
"imports": [] "imports": []
}, },
"package.json": { "package.json": {
@ -348,7 +348,7 @@
"imports": [] "imports": []
}, },
"src/human.js": { "src/human.js": {
"bytes": 16319, "bytes": 16523,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -402,7 +402,7 @@
"dist/human.esm.js.map": { "dist/human.esm.js.map": {
"imports": [], "imports": [],
"inputs": {}, "inputs": {},
"bytes": 2597262 "bytes": 2651413
}, },
"dist/human.esm.js": { "dist/human.esm.js": {
"imports": [], "imports": [],
@ -411,7 +411,7 @@
], ],
"inputs": { "inputs": {
"src/face/blazeface.js": { "src/face/blazeface.js": {
"bytesInOutput": 5113 "bytesInOutput": 5096
}, },
"src/face/box.js": { "src/face/box.js": {
"bytesInOutput": 1578 "bytesInOutput": 1578
@ -423,25 +423,25 @@
"bytesInOutput": 30817 "bytesInOutput": 30817
}, },
"src/face/facepipeline.js": { "src/face/facepipeline.js": {
"bytesInOutput": 9403 "bytesInOutput": 9389
}, },
"src/face/facemesh.js": { "src/face/facemesh.js": {
"bytesInOutput": 2108 "bytesInOutput": 2158
}, },
"src/profile.js": { "src/profile.js": {
"bytesInOutput": 846 "bytesInOutput": 846
}, },
"src/age/age.js": { "src/age/age.js": {
"bytesInOutput": 1130 "bytesInOutput": 1112
}, },
"src/gender/gender.js": { "src/gender/gender.js": {
"bytesInOutput": 1878 "bytesInOutput": 1858
}, },
"src/emotion/emotion.js": { "src/emotion/emotion.js": {
"bytesInOutput": 1756 "bytesInOutput": 1738
}, },
"src/embedding/embedding.js": { "src/embedding/embedding.js": {
"bytesInOutput": 1325 "bytesInOutput": 1310
}, },
"src/body/modelBase.js": { "src/body/modelBase.js": {
"bytesInOutput": 615 "bytesInOutput": 615
@ -465,28 +465,28 @@
"bytesInOutput": 3111 "bytesInOutput": 3111
}, },
"src/body/decodeMultiple.js": { "src/body/decodeMultiple.js": {
"bytesInOutput": 1668 "bytesInOutput": 1684
}, },
"src/body/util.js": { "src/body/util.js": {
"bytesInOutput": 1913 "bytesInOutput": 1913
}, },
"src/body/modelPoseNet.js": { "src/body/modelPoseNet.js": {
"bytesInOutput": 1576 "bytesInOutput": 1558
}, },
"src/body/posenet.js": { "src/body/posenet.js": {
"bytesInOutput": 832 "bytesInOutput": 832
}, },
"src/hand/handdetector.js": { "src/hand/handdetector.js": {
"bytesInOutput": 2741 "bytesInOutput": 2730
}, },
"src/hand/handpipeline.js": { "src/hand/handpipeline.js": {
"bytesInOutput": 4633 "bytesInOutput": 4624
}, },
"src/hand/anchors.js": { "src/hand/anchors.js": {
"bytesInOutput": 127032 "bytesInOutput": 127032
}, },
"src/hand/handpose.js": { "src/hand/handpose.js": {
"bytesInOutput": 1898 "bytesInOutput": 1953
}, },
"src/gesture/gesture.js": { "src/gesture/gesture.js": {
"bytesInOutput": 2463 "bytesInOutput": 2463
@ -495,16 +495,16 @@
"bytesInOutput": 13576 "bytesInOutput": 13576
}, },
"src/image.js": { "src/image.js": {
"bytesInOutput": 4041 "bytesInOutput": 4009
}, },
"src/log.js": { "src/log.js": {
"bytesInOutput": 266 "bytesInOutput": 266
}, },
"dist/tfjs.esm.js": { "dist/tfjs.esm.js": {
"bytesInOutput": 1520559 "bytesInOutput": 1520210
}, },
"src/human.js": { "src/human.js": {
"bytesInOutput": 10745 "bytesInOutput": 10905
}, },
"src/hand/box.js": { "src/hand/box.js": {
"bytesInOutput": 1868 "bytesInOutput": 1868
@ -513,7 +513,7 @@
"bytesInOutput": 1796 "bytesInOutput": 1796
}, },
"config.js": { "config.js": {
"bytesInOutput": 1352 "bytesInOutput": 1428
}, },
"src/sample.js": { "src/sample.js": {
"bytesInOutput": 11646 "bytesInOutput": 11646
@ -522,7 +522,7 @@
"bytesInOutput": 21 "bytesInOutput": 21
} }
}, },
"bytes": 1786858 "bytes": 1786694
} }
} }
} }

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dist/human.json vendored
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@ -9,7 +9,7 @@
"imports": [] "imports": []
}, },
"src/face/blazeface.js": { "src/face/blazeface.js": {
"bytes": 6993, "bytes": 6986,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -53,7 +53,7 @@
] ]
}, },
"src/face/facemesh.js": { "src/face/facemesh.js": {
"bytes": 2675, "bytes": 2798,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -81,7 +81,7 @@
] ]
}, },
"src/age/age.js": { "src/age/age.js": {
"bytes": 1950, "bytes": 1943,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -95,7 +95,7 @@
] ]
}, },
"src/gender/gender.js": { "src/gender/gender.js": {
"bytes": 3391, "bytes": 3384,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -109,7 +109,7 @@
] ]
}, },
"src/emotion/emotion.js": { "src/emotion/emotion.js": {
"bytes": 2988, "bytes": 2981,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -123,7 +123,7 @@
] ]
}, },
"src/embedding/embedding.js": { "src/embedding/embedding.js": {
"bytes": 2048, "bytes": 2041,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -180,7 +180,7 @@
] ]
}, },
"src/body/decodePose.js": { "src/body/decodePose.js": {
"bytes": 4540, "bytes": 4530,
"imports": [ "imports": [
{ {
"path": "src/body/keypoints.js" "path": "src/body/keypoints.js"
@ -191,7 +191,7 @@
] ]
}, },
"src/body/decodeMultiple.js": { "src/body/decodeMultiple.js": {
"bytes": 5605, "bytes": 5608,
"imports": [ "imports": [
{ {
"path": "src/body/buildParts.js" "path": "src/body/buildParts.js"
@ -213,7 +213,7 @@
] ]
}, },
"src/body/modelPoseNet.js": { "src/body/modelPoseNet.js": {
"bytes": 1912, "bytes": 1905,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -294,7 +294,7 @@
"imports": [] "imports": []
}, },
"src/hand/handpose.js": { "src/hand/handpose.js": {
"bytes": 3122, "bytes": 3194,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -340,7 +340,7 @@
"imports": [] "imports": []
}, },
"src/sample.js": { "src/sample.js": {
"bytes": 11662, "bytes": 55374,
"imports": [] "imports": []
}, },
"package.json": { "package.json": {
@ -348,7 +348,7 @@
"imports": [] "imports": []
}, },
"src/human.js": { "src/human.js": {
"bytes": 16319, "bytes": 16523,
"imports": [ "imports": [
{ {
"path": "src/log.js" "path": "src/log.js"
@ -402,14 +402,14 @@
"dist/human.js.map": { "dist/human.js.map": {
"imports": [], "imports": [],
"inputs": {}, "inputs": {},
"bytes": 2614051 "bytes": 2668410
}, },
"dist/human.js": { "dist/human.js": {
"imports": [], "imports": [],
"exports": [], "exports": [],
"inputs": { "inputs": {
"src/face/blazeface.js": { "src/face/blazeface.js": {
"bytesInOutput": 5113 "bytesInOutput": 5096
}, },
"src/face/box.js": { "src/face/box.js": {
"bytesInOutput": 1578 "bytesInOutput": 1578
@ -421,25 +421,25 @@
"bytesInOutput": 30817 "bytesInOutput": 30817
}, },
"src/face/facepipeline.js": { "src/face/facepipeline.js": {
"bytesInOutput": 9403 "bytesInOutput": 9389
}, },
"src/face/facemesh.js": { "src/face/facemesh.js": {
"bytesInOutput": 2108 "bytesInOutput": 2158
}, },
"src/profile.js": { "src/profile.js": {
"bytesInOutput": 846 "bytesInOutput": 846
}, },
"src/age/age.js": { "src/age/age.js": {
"bytesInOutput": 1130 "bytesInOutput": 1112
}, },
"src/gender/gender.js": { "src/gender/gender.js": {
"bytesInOutput": 1878 "bytesInOutput": 1858
}, },
"src/emotion/emotion.js": { "src/emotion/emotion.js": {
"bytesInOutput": 1756 "bytesInOutput": 1738
}, },
"src/embedding/embedding.js": { "src/embedding/embedding.js": {
"bytesInOutput": 1325 "bytesInOutput": 1310
}, },
"src/body/modelBase.js": { "src/body/modelBase.js": {
"bytesInOutput": 615 "bytesInOutput": 615
@ -463,28 +463,28 @@
"bytesInOutput": 3111 "bytesInOutput": 3111
}, },
"src/body/decodeMultiple.js": { "src/body/decodeMultiple.js": {
"bytesInOutput": 1668 "bytesInOutput": 1684
}, },
"src/body/util.js": { "src/body/util.js": {
"bytesInOutput": 1913 "bytesInOutput": 1913
}, },
"src/body/modelPoseNet.js": { "src/body/modelPoseNet.js": {
"bytesInOutput": 1576 "bytesInOutput": 1558
}, },
"src/body/posenet.js": { "src/body/posenet.js": {
"bytesInOutput": 832 "bytesInOutput": 832
}, },
"src/hand/handdetector.js": { "src/hand/handdetector.js": {
"bytesInOutput": 2741 "bytesInOutput": 2730
}, },
"src/hand/handpipeline.js": { "src/hand/handpipeline.js": {
"bytesInOutput": 4633 "bytesInOutput": 4624
}, },
"src/hand/anchors.js": { "src/hand/anchors.js": {
"bytesInOutput": 127032 "bytesInOutput": 127032
}, },
"src/hand/handpose.js": { "src/hand/handpose.js": {
"bytesInOutput": 1898 "bytesInOutput": 1953
}, },
"src/gesture/gesture.js": { "src/gesture/gesture.js": {
"bytesInOutput": 2463 "bytesInOutput": 2463
@ -493,16 +493,16 @@
"bytesInOutput": 13576 "bytesInOutput": 13576
}, },
"src/image.js": { "src/image.js": {
"bytesInOutput": 4040 "bytesInOutput": 4008
}, },
"src/human.js": { "src/human.js": {
"bytesInOutput": 10806 "bytesInOutput": 10966
}, },
"src/log.js": { "src/log.js": {
"bytesInOutput": 266 "bytesInOutput": 266
}, },
"dist/tfjs.esm.js": { "dist/tfjs.esm.js": {
"bytesInOutput": 1520559 "bytesInOutput": 1520210
}, },
"src/hand/box.js": { "src/hand/box.js": {
"bytesInOutput": 1868 "bytesInOutput": 1868
@ -511,7 +511,7 @@
"bytesInOutput": 1796 "bytesInOutput": 1796
}, },
"config.js": { "config.js": {
"bytesInOutput": 1352 "bytesInOutput": 1428
}, },
"src/sample.js": { "src/sample.js": {
"bytesInOutput": 11646 "bytesInOutput": 11646
@ -520,7 +520,7 @@
"bytesInOutput": 21 "bytesInOutput": 21
} }
}, },
"bytes": 1786932 "bytes": 1786768
} }
} }
} }

2
src/age/age.js
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@ -9,7 +9,7 @@ let frame = Number.MAX_SAFE_INTEGER;
async function load(config) { async function load(config) {
if (!models.age) { if (!models.age) {
models.age = await tf.loadGraphModel(config.face.age.modelPath); models.age = await tf.loadGraphModel(config.face.age.modelPath);
log(`Human: load model: ${config.face.age.modelPath.match(/\/(.*)\./)[1]}`); log(`load model: ${config.face.age.modelPath.match(/\/(.*)\./)[1]}`);
} }
return models.age; return models.age;
} }

8
src/body/decodeMultiple.js
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@ -14,9 +14,7 @@ function withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y },
*/ */
function getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) { function getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {
const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => { const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {
if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) { if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;
result += score;
}
return result; return result;
}, 0.0); }, 0.0);
return notOverlappedKeypointScores / instanceKeypoints.length; return notOverlappedKeypointScores / instanceKeypoints.length;
@ -80,7 +78,7 @@ const kLocalMaximumRadius = 1;
* @return An array of poses and their scores, each containing keypoints and * @return An array of poses and their scores, each containing keypoints and
* the corresponding keypoint scores. * the corresponding keypoint scores.
*/ */
function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, outputStride, maxPoseDetections, scoreThreshold = 0.5, nmsRadius = 20) { function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, outputStride, maxPoseDetections, scoreThreshold, nmsRadius) {
const poses = []; const poses = [];
const queue = buildParts.buildPartWithScoreQueue(scoreThreshold, kLocalMaximumRadius, scoresBuffer); const queue = buildParts.buildPartWithScoreQueue(scoreThreshold, kLocalMaximumRadius, scoresBuffer);
const squaredNmsRadius = nmsRadius * nmsRadius; const squaredNmsRadius = nmsRadius * nmsRadius;
@ -97,7 +95,7 @@ function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer
// Start a new detection instance at the position of the root. // Start a new detection instance at the position of the root.
const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, outputStride, displacementsFwdBuffer, displacementsBwdBuffer); const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, outputStride, displacementsFwdBuffer, displacementsBwdBuffer);
const score = getInstanceScore(poses, squaredNmsRadius, keypoints); const score = getInstanceScore(poses, squaredNmsRadius, keypoints);
poses.push({ keypoints, score }); if (score > scoreThreshold) poses.push({ keypoints, score });
} }
return poses; return poses;
} }

6
src/body/decodePose.js
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@ -61,8 +61,7 @@ function decodePose(root, scores, offsets, outputStride, displacementsFwd, displ
part: keypoints.partNames[rootPart.id], part: keypoints.partNames[rootPart.id],
position: rootPoint, position: rootPoint,
}; };
// Decode the part positions upwards in the tree, following the backward // Decode the part positions upwards in the tree, following the backward displacements.
// displacements.
for (let edge = numEdges - 1; edge >= 0; --edge) { for (let edge = numEdges - 1; edge >= 0; --edge) {
const sourceKeypointId = parentToChildEdges[edge]; const sourceKeypointId = parentToChildEdges[edge];
const targetKeypointId = childToParentEdges[edge]; const targetKeypointId = childToParentEdges[edge];
@ -70,8 +69,7 @@ function decodePose(root, scores, offsets, outputStride, displacementsFwd, displ
instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd); instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);
} }
} }
// Decode the part positions downwards in the tree, following the forward // Decode the part positions downwards in the tree, following the forward displacements.
// displacements.
for (let edge = 0; edge < numEdges; ++edge) { for (let edge = 0; edge < numEdges; ++edge) {
const sourceKeypointId = childToParentEdges[edge]; const sourceKeypointId = childToParentEdges[edge];
const targetKeypointId = parentToChildEdges[edge]; const targetKeypointId = parentToChildEdges[edge];

2
src/body/modelPoseNet.js
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@ -41,7 +41,7 @@ exports.PoseNet = PoseNet;
async function load(config) { async function load(config) {
const graphModel = await tf.loadGraphModel(config.body.modelPath); const graphModel = await tf.loadGraphModel(config.body.modelPath);
const mobilenet = new modelMobileNet.MobileNet(graphModel, this.outputStride); const mobilenet = new modelMobileNet.MobileNet(graphModel, this.outputStride);
log(`Human: load model: ${config.body.modelPath.match(/\/(.*)\./)[1]}`); log(`load model: ${config.body.modelPath.match(/\/(.*)\./)[1]}`);
return new PoseNet(mobilenet); return new PoseNet(mobilenet);
} }
exports.load = load; exports.load = load;

2
src/embedding/embedding.js
View File

@ -10,7 +10,7 @@ const models = {};
async function load(config) { async function load(config) {
if (!models.embedding) { if (!models.embedding) {
models.embedding = await tf.loadGraphModel(config.face.embedding.modelPath); models.embedding = await tf.loadGraphModel(config.face.embedding.modelPath);
log(`Human: load model: ${config.face.embedding.modelPath.match(/\/(.*)\./)[1]}`); log(`load model: ${config.face.embedding.modelPath.match(/\/(.*)\./)[1]}`);
} }
return models.embedding; return models.embedding;
} }

2
src/emotion/emotion.js
View File

@ -14,7 +14,7 @@ const scale = 1; // score multiplication factor
async function load(config) { async function load(config) {
if (!models.emotion) { if (!models.emotion) {
models.emotion = await tf.loadGraphModel(config.face.emotion.modelPath); models.emotion = await tf.loadGraphModel(config.face.emotion.modelPath);
log(`Human: load model: ${config.face.emotion.modelPath.match(/\/(.*)\./)[1]}`); log(`load model: ${config.face.emotion.modelPath.match(/\/(.*)\./)[1]}`);
} }
return models.emotion; return models.emotion;
} }

2
src/face/blazeface.js
View File

@ -167,7 +167,7 @@ class BlazeFaceModel {
async function load(config) { async function load(config) {
const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') }); const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });
const model = new BlazeFaceModel(blazeface, config); const model = new BlazeFaceModel(blazeface, config);
log(`Human: load model: ${config.face.detector.modelPath.match(/\/(.*)\./)[1]}`); log(`load model: ${config.face.detector.modelPath.match(/\/(.*)\./)[1]}`);
return model; return model;
} }

12
src/face/facemesh.js
View File

@ -25,9 +25,15 @@ class MediaPipeFaceMesh {
} }
} }
} }
const box = prediction.box ? [
Math.max(0, prediction.box.startPoint[0]),
Math.max(0, prediction.box.startPoint[1]),
Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],
Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],
] : 0;
results.push({ results.push({
confidence: prediction.confidence || 0, confidence: prediction.confidence || 0,
box: prediction.box ? [prediction.box.startPoint[0], prediction.box.startPoint[1], prediction.box.endPoint[0] - prediction.box.startPoint[0], prediction.box.endPoint[1] - prediction.box.startPoint[1]] : 0, box,
mesh, mesh,
annotations, annotations,
image: prediction.image ? tf.clone(prediction.image) : null, image: prediction.image ? tf.clone(prediction.image) : null,
@ -47,8 +53,8 @@ async function load(config) {
(!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null, (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,
]); ]);
const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config); const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);
if (config.face.mesh.enabled) log(`Human: load model: ${config.face.mesh.modelPath.match(/\/(.*)\./)[1]}`); if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\/(.*)\./)[1]}`);
if (config.face.iris.enabled) log(`Human: load model: ${config.face.iris.modelPath.match(/\/(.*)\./)[1]}`); if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\/(.*)\./)[1]}`);
return faceMesh; return faceMesh;
} }

2
src/gender/gender.js
View File

@ -14,7 +14,7 @@ async function load(config) {
if (!models.gender) { if (!models.gender) {
models.gender = await tf.loadGraphModel(config.face.gender.modelPath); models.gender = await tf.loadGraphModel(config.face.gender.modelPath);
alternative = models.gender.inputs[0].shape[3] === 1; alternative = models.gender.inputs[0].shape[3] === 1;
log(`Human: load model: ${config.face.gender.modelPath.match(/\/(.*)\./)[1]}`); log(`load model: ${config.face.gender.modelPath.match(/\/(.*)\./)[1]}`);
} }
return models.gender; return models.gender;
} }

17
src/hand/handpose.js
View File

@ -51,14 +51,15 @@ class HandPose {
annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]); annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);
} }
} }
const box = prediction.box ? [
Math.max(0, prediction.box.topLeft[0]),
Math.max(0, prediction.box.topLeft[1]),
Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],
Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],
] : 0;
hands.push({ hands.push({
confidence: prediction.confidence, confidence: prediction.confidence,
box: prediction.box ? [ box,
prediction.box.topLeft[0],
prediction.box.topLeft[1],
prediction.box.bottomRight[0] - prediction.box.topLeft[0],
prediction.box.bottomRight[1] - prediction.box.topLeft[1],
] : 0,
landmarks: prediction.landmarks, landmarks: prediction.landmarks,
annotations, annotations,
}); });
@ -76,8 +77,8 @@ async function load(config) {
const detector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors); const detector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);
const pipe = new pipeline.HandPipeline(detector, handPoseModel, config.hand.inputSize); const pipe = new pipeline.HandPipeline(detector, handPoseModel, config.hand.inputSize);
const handpose = new HandPose(pipe); const handpose = new HandPose(pipe);
if (config.hand.enabled) log(`Human: load model: ${config.hand.detector.modelPath.match(/\/(.*)\./)[1]}`); if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\/(.*)\./)[1]}`);
if (config.hand.landmarks) log(`Human: load model: ${config.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`); if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`);
return handpose; return handpose;
} }
exports.load = load; exports.load = load;

22
src/human.js
View File

@ -416,23 +416,27 @@ class Human {
} }
async warmup(userConfig) { async warmup(userConfig) {
if (userConfig) this.config = mergeDeep(this.config, userConfig);
const width = 256;
const height = 256;
const video = this.config.videoOptimized;
this.config.videoOptimized = false;
return new Promise((resolve) => { return new Promise((resolve) => {
log('Starting warmup'); const img = new Image(width, height);
const img = new Image(256, 256);
img.onload = () => { img.onload = () => {
log('Loading sample'); const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(width, height) : document.createElement('canvas');
const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(256, 256) : document.createElement('canvas'); canvas.width = width;
canvas.width = 256; canvas.height = height;
canvas.height = 256;
const ctx = canvas.getContext('2d'); const ctx = canvas.getContext('2d');
ctx.drawImage(img, 0, 0); ctx.drawImage(img, 0, 0);
const data = ctx.getImageData(0, 0, 255, 255); const data = ctx.getImageData(0, 0, width, height);
this.detect(data, userConfig).then((warmup) => { this.detect(data, config).then((warmup) => {
log('Warmup', warmup); log('Warmup', warmup);
this.config.videoOptimized = video;
resolve(warmup); resolve(warmup);
}); });
}; };
img.src = sample.data; img.src = sample.face;
}); });
} }
} }

572
src/sample.js
View File

@ -1,4 +1,4 @@
export const data = `data:image/jpeg;base64, export const face = `data:image/jpeg;base64,
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AAABAAAARgEoAAMAAAABAAIAAAExAAIAAAARAAAATgAAAAAAAABgAAAAAQAAAGAAAAABcGFpbnQu AAABAAAARgEoAAMAAAABAAIAAAExAAIAAAARAAAATgAAAAAAAABgAAAAAQAAAGAAAAABcGFpbnQu
bmV0IDQuMi4xMwAA/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgXFBYWGh0lHxob bmV0IDQuMi4xMwAA/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgXFBYWGh0lHxob
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export const body = `data:image/jpeg;base64,
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