mirror of https://github.com/vladmandic/human
build and docs cleanup
Vladimir Mandic
parent
b7f3b580bc
commit
5a16b5081d
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@ -9,11 +9,12 @@
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## Changelog
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### **HEAD -> main** 2021/10/28 mandic00@live.com
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### **2.4.3** 2021/10/28 mandic00@live.com
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### **origin/main** 2021/10/27 mandic00@live.com
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- additional human.performance counters
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### **2.4.2** 2021/10/27 mandic00@live.com
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@ -58,8 +58,8 @@ Check out [**Live Demo**](https://vladmandic.github.io/human/demo/index.html) ap
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- [**Home**](https://github.com/vladmandic/human/wiki)
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- [**Installation**](https://github.com/vladmandic/human/wiki/Install)
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- [**Usage & Functions**](https://github.com/vladmandic/human/wiki/Usage)
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- [**Configuration Details**](https://github.com/vladmandic/human/wiki/Configuration)
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- [**Output Details**](https://github.com/vladmandic/human/wiki/Outputs)
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- [**Configuration Details**](https://github.com/vladmandic/human/wiki/Config)
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- [**Result Details**](https://github.com/vladmandic/human/wiki/Result)
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- [**Caching & Smoothing**](https://github.com/vladmandic/human/wiki/Caching)
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- [**Face Recognition & Face Description**](https://github.com/vladmandic/human/wiki/Embedding)
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- [**Gesture Recognition**](https://github.com/vladmandic/human/wiki/Gesture)
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17
TODO.md
17
TODO.md
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@ -14,21 +14,20 @@
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- TFLite Models: <https://js.tensorflow.org/api_tflite/0.0.1-alpha.4/>
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- Body segmentation: `robust-video-matting`
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<br><hr><br>
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## Known Issues
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### Type Definitions
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- `tfjs.esm.d.ts` missing namespace `OptimizerConstructors`
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- exports from `match` are marked as private
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#### WebGPU
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Experimental support only until support is officially added in Chromium
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- Performance issues:
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<https://github.com/tensorflow/tfjs/issues/5689>
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<br><hr><br>
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## Known Issues
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- `tfjs.esm.d.ts` missing namespace `OptimizerConstructors`
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- exports from `match` are marked as private
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<br>
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### Face Detection
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Enhanced rotation correction for face detection is not working in NodeJS due to missing kernel op in TFJS
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File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
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@ -44,9 +44,9 @@ async function webCam() {
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dom.canvas.width = dom.video.videoWidth;
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dom.canvas.height = dom.video.videoHeight;
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const track = stream.getVideoTracks()[0];
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const capabilities = track.getCapabilities();
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const settings = track.getSettings();
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const constraints = track.getConstraints();
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const capabilities = track.getCapabilities ? track.getCapabilities() : "";
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const settings = track.getSettings ? track.getSettings() : "";
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const constraints = track.getConstraints ? track.getConstraints() : "";
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log("video:", dom.video.videoWidth, dom.video.videoHeight, track.label, { stream, track, settings, constraints, capabilities });
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dom.canvas.onclick = () => {
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if (dom.video.paused)
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@ -1,7 +1,7 @@
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{
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"version": 3,
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"sources": ["index.ts"],
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"sourcesContent": ["/**\n * Human demo for browsers\n * @default Human Library\n * @summary <https://github.com/vladmandic/human>\n * @author <https://github.com/vladmandic>\n * @copyright <https://github.com/vladmandic>\n * @license MIT\n */\n\nimport Human from '../../dist/human.custom.esm.js'; // equivalent of @vladmandic/human\n\nconst config = {\n modelBasePath: '../../models',\n backend: 'humangl',\n async: true,\n};\n\nconst human = new Human(config);\nlet result;\n\nconst dom = {\n video: document.getElementById('video') as HTMLVideoElement,\n canvas: document.getElementById('canvas') as HTMLCanvasElement,\n log: document.getElementById('log') as HTMLPreElement,\n fps: document.getElementById('status') as HTMLPreElement,\n perf: document.getElementById('performance') as HTMLDivElement,\n};\n\nconst fps = { detect: 0, draw: 0 };\n\nconst log = (...msg) => {\n dom.log.innerText += msg.join(' ') + '\\n';\n // eslint-disable-next-line no-console\n console.log(...msg);\n};\nconst status = (msg) => {\n dom.fps.innerText = msg;\n};\nconst perf = (msg) => {\n dom.perf.innerText = 'performance: ' + JSON.stringify(msg).replace(/\"|{|}/g, '').replace(/,/g, ' | ');\n};\n\nasync function webCam() {\n status('starting webcam...');\n const options = { audio: false, video: { facingMode: 'user', resizeMode: 'none', width: { ideal: document.body.clientWidth } } };\n const stream: MediaStream = await navigator.mediaDevices.getUserMedia(options);\n const ready = new Promise((resolve) => { dom.video.onloadeddata = () => resolve(true); });\n dom.video.srcObject = stream;\n dom.video.play();\n await ready;\n dom.canvas.width = dom.video.videoWidth;\n dom.canvas.height = dom.video.videoHeight;\n const track: MediaStreamTrack = stream.getVideoTracks()[0];\n const capabilities: MediaTrackCapabilities = track.getCapabilities();\n const settings: MediaTrackSettings = track.getSettings();\n const constraints: MediaTrackConstraints = track.getConstraints();\n log('video:', dom.video.videoWidth, dom.video.videoHeight, track.label, { stream, track, settings, constraints, capabilities });\n dom.canvas.onclick = () => {\n if (dom.video.paused) dom.video.play();\n else dom.video.pause();\n };\n}\n\nasync function detectionLoop() {\n const t0 = human.now();\n if (!dom.video.paused) {\n result = await human.detect(dom.video);\n }\n const t1 = human.now();\n fps.detect = 1000 / (t1 - t0);\n requestAnimationFrame(detectionLoop);\n}\n\nasync function drawLoop() {\n const t0 = human.now();\n if (!dom.video.paused) {\n const interpolated = await human.next(result);\n await human.draw.canvas(dom.video, dom.canvas);\n await human.draw.all(dom.canvas, interpolated);\n perf(interpolated.performance);\n }\n const t1 = human.now();\n fps.draw = 1000 / (t1 - t0);\n status(dom.video.paused ? 'paused' : `fps: ${fps.detect.toFixed(1).padStart(5, ' ')} detect / ${fps.draw.toFixed(1).padStart(5, ' ')} draw`);\n requestAnimationFrame(drawLoop);\n}\n\nasync function main() {\n log('human version:', human.version, 'tfjs:', human.tf.version_core);\n log('platform:', human.env.platform, 'agent:', human.env.agent);\n human.env.perfadd = true;\n status('loading...');\n await human.load();\n status('initializing...');\n log('backend:', human.tf.getBackend(), 'available:', human.env.backends);\n await human.warmup();\n await webCam();\n await detectionLoop();\n await drawLoop();\n}\n\nwindow.onload = main;\n"],
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"sourcesContent": ["/**\n * Human demo for browsers\n * @default Human Library\n * @summary <https://github.com/vladmandic/human>\n * @author <https://github.com/vladmandic>\n * @copyright <https://github.com/vladmandic>\n * @license MIT\n */\n\nimport Human from '../../dist/human.custom.esm.js'; // equivalent of @vladmandic/human\n\nconst config = {\n modelBasePath: '../../models',\n backend: 'humangl',\n async: true,\n};\n\nconst human = new Human(config);\nlet result;\n\nconst dom = {\n video: document.getElementById('video') as HTMLVideoElement,\n canvas: document.getElementById('canvas') as HTMLCanvasElement,\n log: document.getElementById('log') as HTMLPreElement,\n fps: document.getElementById('status') as HTMLPreElement,\n perf: document.getElementById('performance') as HTMLDivElement,\n};\n\nconst fps = { detect: 0, draw: 0 };\n\nconst log = (...msg) => {\n dom.log.innerText += msg.join(' ') + '\\n';\n // eslint-disable-next-line no-console\n console.log(...msg);\n};\nconst status = (msg) => {\n dom.fps.innerText = msg;\n};\nconst perf = (msg) => {\n dom.perf.innerText = 'performance: ' + JSON.stringify(msg).replace(/\"|{|}/g, '').replace(/,/g, ' | ');\n};\n\nasync function webCam() {\n status('starting webcam...');\n const options = { audio: false, video: { facingMode: 'user', resizeMode: 'none', width: { ideal: document.body.clientWidth } } };\n const stream: MediaStream = await navigator.mediaDevices.getUserMedia(options);\n const ready = new Promise((resolve) => { dom.video.onloadeddata = () => resolve(true); });\n dom.video.srcObject = stream;\n dom.video.play();\n await ready;\n dom.canvas.width = dom.video.videoWidth;\n dom.canvas.height = dom.video.videoHeight;\n const track: MediaStreamTrack = stream.getVideoTracks()[0];\n const capabilities: MediaTrackCapabilities | string = track.getCapabilities ? track.getCapabilities() : '';\n const settings: MediaTrackSettings | string = track.getSettings ? track.getSettings() : '';\n const constraints: MediaTrackConstraints | string = track.getConstraints ? track.getConstraints() : '';\n log('video:', dom.video.videoWidth, dom.video.videoHeight, track.label, { stream, track, settings, constraints, capabilities });\n dom.canvas.onclick = () => {\n if (dom.video.paused) dom.video.play();\n else dom.video.pause();\n };\n}\n\nasync function detectionLoop() {\n const t0 = human.now();\n if (!dom.video.paused) {\n result = await human.detect(dom.video);\n }\n const t1 = human.now();\n fps.detect = 1000 / (t1 - t0);\n requestAnimationFrame(detectionLoop);\n}\n\nasync function drawLoop() {\n const t0 = human.now();\n if (!dom.video.paused) {\n const interpolated = await human.next(result);\n await human.draw.canvas(dom.video, dom.canvas);\n await human.draw.all(dom.canvas, interpolated);\n perf(interpolated.performance);\n }\n const t1 = human.now();\n fps.draw = 1000 / (t1 - t0);\n status(dom.video.paused ? 'paused' : `fps: ${fps.detect.toFixed(1).padStart(5, ' ')} detect / ${fps.draw.toFixed(1).padStart(5, ' ')} draw`);\n requestAnimationFrame(drawLoop);\n}\n\nasync function main() {\n log('human version:', human.version, 'tfjs:', human.tf.version_core);\n log('platform:', human.env.platform, 'agent:', human.env.agent);\n human.env.perfadd = true;\n status('loading...');\n await human.load();\n status('initializing...');\n log('backend:', human.tf.getBackend(), 'available:', human.env.backends);\n await human.warmup();\n await webCam();\n await detectionLoop();\n await drawLoop();\n}\n\nwindow.onload = main;\n"],
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"names": []
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}
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@ -423,6 +423,7 @@ __export(tfjs_esm_exports, {
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booleanMaskAsync: () => booleanMaskAsync,
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broadcastArgs: () => broadcastArgs,
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broadcastTo: () => broadcastTo,
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broadcast_util: () => broadcast_util_exports,
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browser: () => browser_exports,
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buffer: () => buffer,
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callbacks: () => callbacks,
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return cast(product, "int32");
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}
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var confusionMatrix = op({ confusionMatrix_ });
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var broadcast_util_exports = {};
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__export2(broadcast_util_exports, {
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assertAndGetBroadcastShape: () => assertAndGetBroadcastShape,
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getBroadcastDims: () => getBroadcastDims,
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getReductionAxes: () => getReductionAxes
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});
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function getBroadcastDims(inShape, outShape) {
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const inRank = inShape.length;
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const dims = [];
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for (let i = 0; i < inRank; i++) {
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const dim = inRank - 1 - i;
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const a = inShape[dim] || 1;
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const b = outShape[outShape.length - 1 - i] || 1;
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if (b > 1 && a === 1) {
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dims.unshift(dim);
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}
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}
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return dims;
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}
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function getReductionAxes(inShape, outShape) {
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const result = [];
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for (let i = 0; i < outShape.length; i++) {
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const inDim = inShape[inShape.length - i - 1];
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const outAxis = outShape.length - i - 1;
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const outDim = outShape[outAxis];
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if (inDim == null || inDim === 1 && outDim > 1) {
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result.unshift(outAxis);
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}
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}
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return result;
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}
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function assertAndGetBroadcastShape(shapeA, shapeB) {
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const result = [];
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const l = Math.max(shapeA.length, shapeB.length);
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for (let i = 0; i < l; i++) {
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let a = shapeA[shapeA.length - i - 1];
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if (a == null) {
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a = 1;
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}
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let b = shapeB[shapeB.length - i - 1];
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if (b == null) {
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b = 1;
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}
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if (a === 1) {
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result.unshift(b);
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} else if (b === 1) {
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result.unshift(a);
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} else if (a !== b) {
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const errMsg = `Operands could not be broadcast together with shapes ${shapeA} and ${shapeB}.`;
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throw Error(errMsg);
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} else {
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result.unshift(a);
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}
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}
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return result;
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}
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var browser_exports = {};
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__export2(browser_exports, {
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fromPixels: () => fromPixels,
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@ -11653,56 +11710,6 @@ function dilation2d_(x, filter, strides, pad3, dilations = [1, 1], dataFormat =
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return res;
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}
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var dilation2d = op({ dilation2d_ });
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function getBroadcastDims(inShape, outShape) {
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const inRank = inShape.length;
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const dims = [];
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for (let i = 0; i < inRank; i++) {
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const dim = inRank - 1 - i;
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const a = inShape[dim] || 1;
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const b = outShape[outShape.length - 1 - i] || 1;
|
||||
if (b > 1 && a === 1) {
|
||||
dims.unshift(dim);
|
||||
}
|
||||
}
|
||||
return dims;
|
||||
}
|
||||
function getReductionAxes(inShape, outShape) {
|
||||
const result = [];
|
||||
for (let i = 0; i < outShape.length; i++) {
|
||||
const inDim = inShape[inShape.length - i - 1];
|
||||
const outAxis = outShape.length - i - 1;
|
||||
const outDim = outShape[outAxis];
|
||||
if (inDim == null || inDim === 1 && outDim > 1) {
|
||||
result.unshift(outAxis);
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
function assertAndGetBroadcastShape(shapeA, shapeB) {
|
||||
const result = [];
|
||||
const l = Math.max(shapeA.length, shapeB.length);
|
||||
for (let i = 0; i < l; i++) {
|
||||
let a = shapeA[shapeA.length - i - 1];
|
||||
if (a == null) {
|
||||
a = 1;
|
||||
}
|
||||
let b = shapeB[shapeB.length - i - 1];
|
||||
if (b == null) {
|
||||
b = 1;
|
||||
}
|
||||
if (a === 1) {
|
||||
result.unshift(b);
|
||||
} else if (b === 1) {
|
||||
result.unshift(a);
|
||||
} else if (a !== b) {
|
||||
const errMsg = `Operands could not be broadcast together with shapes ${shapeA} and ${shapeB}.`;
|
||||
throw Error(errMsg);
|
||||
} else {
|
||||
result.unshift(a);
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
function equal_(a, b) {
|
||||
let $a = convertToTensor(a, "a", "equal", "string_or_numeric");
|
||||
let $b = convertToTensor(b, "b", "equal", "string_or_numeric");
|
||||
|
|
@ -13860,10 +13867,9 @@ function fusedMatMul_({
|
|||
const outerDimsB = $b.shape.slice(0, -2);
|
||||
const batchDimA = sizeFromShape(outerDimsA);
|
||||
const batchDimB = sizeFromShape(outerDimsB);
|
||||
assert($a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank, () => `Error in fused matMul: inputs must have the same rank of at least 2, got ranks ${$a.rank} and ${$b.rank}.`);
|
||||
assert(arraysEqual(outerDimsA, outerDimsB), () => `Error in fused matMul: outer dimensions (${outerDimsA}) and (${outerDimsB}) of Tensors with shapes ${$a.shape} and ${$b.shape} must match.`);
|
||||
assert(innerShapeA === innerShapeB, () => `Error in fused matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${$a.shape} and ${$b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
|
||||
const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);
|
||||
const outShapeOuterDims = assertAndGetBroadcastShape($a.shape.slice(0, -2), $b.shape.slice(0, -2));
|
||||
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
|
||||
const a3D = transposeA ? reshape($a, [batchDimA, innerShapeA, outerShapeA]) : reshape($a, [batchDimA, outerShapeA, innerShapeA]);
|
||||
const b3D = transposeB ? reshape($b, [batchDimB, outerShapeB, innerShapeB]) : reshape($b, [batchDimB, innerShapeB, outerShapeB]);
|
||||
let $bias;
|
||||
|
|
@ -41023,9 +41029,7 @@ function batchMatMul(args) {
|
|||
const outerDimsB = b.shape.slice(0, -2);
|
||||
const batchDimA = util_exports.sizeFromShape(outerDimsA);
|
||||
const batchDimB = util_exports.sizeFromShape(outerDimsB);
|
||||
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1;
|
||||
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
|
||||
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
|
||||
const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
|
||||
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
|
||||
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
|
||||
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
|
||||
|
|
@ -51273,9 +51277,7 @@ function batchMatMulImpl({
|
|||
const outerDimsB = b.shape.slice(0, -2);
|
||||
const batchDimA = util_exports.sizeFromShape(outerDimsA);
|
||||
const batchDimB = util_exports.sizeFromShape(outerDimsB);
|
||||
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1;
|
||||
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
|
||||
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
|
||||
const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
|
||||
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
|
||||
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
|
||||
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
|
||||
|
|
@ -61258,9 +61260,7 @@ function batchMatMulImpl2({
|
|||
const outerDimsB = b.shape.slice(0, -2);
|
||||
const batchDimA = util_exports.sizeFromShape(outerDimsA);
|
||||
const batchDimB = util_exports.sizeFromShape(outerDimsB);
|
||||
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1;
|
||||
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
|
||||
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
|
||||
const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
|
||||
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
|
||||
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
|
||||
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
|
||||
|
|
@ -67492,8 +67492,8 @@ function fusedBatchMatMul(args) {
|
|||
}
|
||||
const leftDim = transposeA ? a.shape[2] : a.shape[1];
|
||||
const rightDim = transposeB ? b.shape[1] : b.shape[2];
|
||||
const batchDim = a.shape[0];
|
||||
const out = backend22.makeOutput([batchDim, leftDim, rightDim], a.dtype);
|
||||
const batchDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
|
||||
const out = backend22.makeOutput([...batchDims, leftDim, rightDim], a.dtype);
|
||||
const outId = backend22.dataIdMap.get(out.dataId).id;
|
||||
const aShapeBytes = new Uint8Array(new Int32Array(a.shape).buffer);
|
||||
const bShapeBytes = new Uint8Array(new Int32Array(b.shape).buffer);
|
||||
|
|
@ -67936,9 +67936,7 @@ function batchMatMul4(args) {
|
|||
const outerDimsB = b.shape.slice(0, -2);
|
||||
const batchDimA = util_exports.sizeFromShape(outerDimsA);
|
||||
const batchDimB = util_exports.sizeFromShape(outerDimsB);
|
||||
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1;
|
||||
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
|
||||
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
|
||||
const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
|
||||
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
|
||||
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
|
||||
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
|
||||
|
|
@ -70572,7 +70570,7 @@ registerBackend("wasm", async () => {
|
|||
const { wasm } = await init();
|
||||
return new BackendWasm(wasm);
|
||||
}, WASM_PRIORITY);
|
||||
var externalVersion = "3.11.0-20211028";
|
||||
var externalVersion = "3.11.0-20211029";
|
||||
var version8 = {
|
||||
tfjs: externalVersion,
|
||||
"tfjs-core": externalVersion,
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
|
|
@ -9006,6 +9006,62 @@ function confusionMatrix_(labels, predictions, numClasses) {
|
|||
return cast(product, "int32");
|
||||
}
|
||||
var confusionMatrix = op({ confusionMatrix_ });
|
||||
var broadcast_util_exports = {};
|
||||
__export(broadcast_util_exports, {
|
||||
assertAndGetBroadcastShape: () => assertAndGetBroadcastShape,
|
||||
getBroadcastDims: () => getBroadcastDims,
|
||||
getReductionAxes: () => getReductionAxes
|
||||
});
|
||||
function getBroadcastDims(inShape, outShape) {
|
||||
const inRank = inShape.length;
|
||||
const dims = [];
|
||||
for (let i = 0; i < inRank; i++) {
|
||||
const dim = inRank - 1 - i;
|
||||
const a = inShape[dim] || 1;
|
||||
const b = outShape[outShape.length - 1 - i] || 1;
|
||||
if (b > 1 && a === 1) {
|
||||
dims.unshift(dim);
|
||||
}
|
||||
}
|
||||
return dims;
|
||||
}
|
||||
function getReductionAxes(inShape, outShape) {
|
||||
const result = [];
|
||||
for (let i = 0; i < outShape.length; i++) {
|
||||
const inDim = inShape[inShape.length - i - 1];
|
||||
const outAxis = outShape.length - i - 1;
|
||||
const outDim = outShape[outAxis];
|
||||
if (inDim == null || inDim === 1 && outDim > 1) {
|
||||
result.unshift(outAxis);
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
function assertAndGetBroadcastShape(shapeA, shapeB) {
|
||||
const result = [];
|
||||
const l = Math.max(shapeA.length, shapeB.length);
|
||||
for (let i = 0; i < l; i++) {
|
||||
let a = shapeA[shapeA.length - i - 1];
|
||||
if (a == null) {
|
||||
a = 1;
|
||||
}
|
||||
let b = shapeB[shapeB.length - i - 1];
|
||||
if (b == null) {
|
||||
b = 1;
|
||||
}
|
||||
if (a === 1) {
|
||||
result.unshift(b);
|
||||
} else if (b === 1) {
|
||||
result.unshift(a);
|
||||
} else if (a !== b) {
|
||||
const errMsg = `Operands could not be broadcast together with shapes ${shapeA} and ${shapeB}.`;
|
||||
throw Error(errMsg);
|
||||
} else {
|
||||
result.unshift(a);
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
var browser_exports = {};
|
||||
__export(browser_exports, {
|
||||
fromPixels: () => fromPixels,
|
||||
|
|
@ -10973,56 +11029,6 @@ function dilation2d_(x, filter, strides, pad3, dilations = [1, 1], dataFormat =
|
|||
return res;
|
||||
}
|
||||
var dilation2d = op({ dilation2d_ });
|
||||
function getBroadcastDims(inShape, outShape) {
|
||||
const inRank = inShape.length;
|
||||
const dims = [];
|
||||
for (let i = 0; i < inRank; i++) {
|
||||
const dim = inRank - 1 - i;
|
||||
const a = inShape[dim] || 1;
|
||||
const b = outShape[outShape.length - 1 - i] || 1;
|
||||
if (b > 1 && a === 1) {
|
||||
dims.unshift(dim);
|
||||
}
|
||||
}
|
||||
return dims;
|
||||
}
|
||||
function getReductionAxes(inShape, outShape) {
|
||||
const result = [];
|
||||
for (let i = 0; i < outShape.length; i++) {
|
||||
const inDim = inShape[inShape.length - i - 1];
|
||||
const outAxis = outShape.length - i - 1;
|
||||
const outDim = outShape[outAxis];
|
||||
if (inDim == null || inDim === 1 && outDim > 1) {
|
||||
result.unshift(outAxis);
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
function assertAndGetBroadcastShape(shapeA, shapeB) {
|
||||
const result = [];
|
||||
const l = Math.max(shapeA.length, shapeB.length);
|
||||
for (let i = 0; i < l; i++) {
|
||||
let a = shapeA[shapeA.length - i - 1];
|
||||
if (a == null) {
|
||||
a = 1;
|
||||
}
|
||||
let b = shapeB[shapeB.length - i - 1];
|
||||
if (b == null) {
|
||||
b = 1;
|
||||
}
|
||||
if (a === 1) {
|
||||
result.unshift(b);
|
||||
} else if (b === 1) {
|
||||
result.unshift(a);
|
||||
} else if (a !== b) {
|
||||
const errMsg = `Operands could not be broadcast together with shapes ${shapeA} and ${shapeB}.`;
|
||||
throw Error(errMsg);
|
||||
} else {
|
||||
result.unshift(a);
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
function equal_(a, b) {
|
||||
let $a = convertToTensor(a, "a", "equal", "string_or_numeric");
|
||||
let $b = convertToTensor(b, "b", "equal", "string_or_numeric");
|
||||
|
|
@ -13180,10 +13186,9 @@ function fusedMatMul_({
|
|||
const outerDimsB = $b.shape.slice(0, -2);
|
||||
const batchDimA = sizeFromShape(outerDimsA);
|
||||
const batchDimB = sizeFromShape(outerDimsB);
|
||||
assert($a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank, () => `Error in fused matMul: inputs must have the same rank of at least 2, got ranks ${$a.rank} and ${$b.rank}.`);
|
||||
assert(arraysEqual(outerDimsA, outerDimsB), () => `Error in fused matMul: outer dimensions (${outerDimsA}) and (${outerDimsB}) of Tensors with shapes ${$a.shape} and ${$b.shape} must match.`);
|
||||
assert(innerShapeA === innerShapeB, () => `Error in fused matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${$a.shape} and ${$b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
|
||||
const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);
|
||||
const outShapeOuterDims = assertAndGetBroadcastShape($a.shape.slice(0, -2), $b.shape.slice(0, -2));
|
||||
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
|
||||
const a3D = transposeA ? reshape($a, [batchDimA, innerShapeA, outerShapeA]) : reshape($a, [batchDimA, outerShapeA, innerShapeA]);
|
||||
const b3D = transposeB ? reshape($b, [batchDimB, outerShapeB, innerShapeB]) : reshape($b, [batchDimB, innerShapeB, outerShapeB]);
|
||||
let $bias;
|
||||
|
|
@ -40343,9 +40348,7 @@ function batchMatMul(args) {
|
|||
const outerDimsB = b.shape.slice(0, -2);
|
||||
const batchDimA = util_exports.sizeFromShape(outerDimsA);
|
||||
const batchDimB = util_exports.sizeFromShape(outerDimsB);
|
||||
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1;
|
||||
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
|
||||
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
|
||||
const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
|
||||
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
|
||||
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
|
||||
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
|
||||
|
|
@ -50593,9 +50596,7 @@ function batchMatMulImpl({
|
|||
const outerDimsB = b.shape.slice(0, -2);
|
||||
const batchDimA = util_exports.sizeFromShape(outerDimsA);
|
||||
const batchDimB = util_exports.sizeFromShape(outerDimsB);
|
||||
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1;
|
||||
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
|
||||
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
|
||||
const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
|
||||
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
|
||||
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
|
||||
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
|
||||
|
|
@ -60578,9 +60579,7 @@ function batchMatMulImpl2({
|
|||
const outerDimsB = b.shape.slice(0, -2);
|
||||
const batchDimA = util_exports.sizeFromShape(outerDimsA);
|
||||
const batchDimB = util_exports.sizeFromShape(outerDimsB);
|
||||
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1;
|
||||
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
|
||||
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
|
||||
const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
|
||||
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
|
||||
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
|
||||
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
|
||||
|
|
@ -66812,8 +66811,8 @@ function fusedBatchMatMul(args) {
|
|||
}
|
||||
const leftDim = transposeA ? a.shape[2] : a.shape[1];
|
||||
const rightDim = transposeB ? b.shape[1] : b.shape[2];
|
||||
const batchDim = a.shape[0];
|
||||
const out = backend2.makeOutput([batchDim, leftDim, rightDim], a.dtype);
|
||||
const batchDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
|
||||
const out = backend2.makeOutput([...batchDims, leftDim, rightDim], a.dtype);
|
||||
const outId = backend2.dataIdMap.get(out.dataId).id;
|
||||
const aShapeBytes = new Uint8Array(new Int32Array(a.shape).buffer);
|
||||
const bShapeBytes = new Uint8Array(new Int32Array(b.shape).buffer);
|
||||
|
|
@ -67256,9 +67255,7 @@ function batchMatMul4(args) {
|
|||
const outerDimsB = b.shape.slice(0, -2);
|
||||
const batchDimA = util_exports.sizeFromShape(outerDimsA);
|
||||
const batchDimB = util_exports.sizeFromShape(outerDimsB);
|
||||
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1;
|
||||
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
|
||||
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
|
||||
const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
|
||||
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
|
||||
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
|
||||
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
|
||||
|
|
@ -69892,7 +69889,7 @@ registerBackend("wasm", async () => {
|
|||
const { wasm } = await init();
|
||||
return new BackendWasm(wasm);
|
||||
}, WASM_PRIORITY);
|
||||
var externalVersion = "3.11.0-20211028";
|
||||
var externalVersion = "3.11.0-20211029";
|
||||
var version8 = {
|
||||
tfjs: externalVersion,
|
||||
"tfjs-core": externalVersion,
|
||||
|
|
@ -70137,6 +70134,7 @@ export {
|
|||
booleanMaskAsync,
|
||||
broadcastArgs,
|
||||
broadcastTo,
|
||||
broadcast_util_exports as broadcast_util,
|
||||
browser_exports as browser,
|
||||
buffer,
|
||||
callbacks,
|
||||
|
|
|
|||
10
package.json
10
package.json
|
|
@ -55,6 +55,7 @@
|
|||
"tensorflow"
|
||||
],
|
||||
"devDependencies": {
|
||||
"@tensorflow/tfjs": "^3.11.0",
|
||||
"@tensorflow/tfjs-backend-cpu": "^3.11.0",
|
||||
"@tensorflow/tfjs-backend-wasm": "^3.11.0",
|
||||
"@tensorflow/tfjs-backend-webgl": "^3.11.0",
|
||||
|
|
@ -63,9 +64,8 @@
|
|||
"@tensorflow/tfjs-core": "^3.11.0",
|
||||
"@tensorflow/tfjs-data": "^3.11.0",
|
||||
"@tensorflow/tfjs-layers": "^3.11.0",
|
||||
"@tensorflow/tfjs-node-gpu": "^3.11.0",
|
||||
"@tensorflow/tfjs-node": "^3.11.0",
|
||||
"@tensorflow/tfjs": "^3.11.0",
|
||||
"@tensorflow/tfjs-node-gpu": "^3.11.0",
|
||||
"@types/node": "^16.11.6",
|
||||
"@typescript-eslint/eslint-plugin": "^5.2.0",
|
||||
"@typescript-eslint/parser": "^5.2.0",
|
||||
|
|
@ -74,21 +74,19 @@
|
|||
"canvas": "^2.8.0",
|
||||
"dayjs": "^1.10.7",
|
||||
"esbuild": "^0.13.10",
|
||||
"eslint": "8.1.0",
|
||||
"eslint-config-airbnb-base": "^14.2.1",
|
||||
"eslint-plugin-html": "^6.2.0",
|
||||
"eslint-plugin-import": "^2.25.2",
|
||||
"eslint-plugin-json": "^3.1.0",
|
||||
"eslint-plugin-node": "^11.1.0",
|
||||
"eslint-plugin-promise": "^5.1.1",
|
||||
"eslint": "8.1.0",
|
||||
"long": "4",
|
||||
"long": "4.0.0",
|
||||
"node-fetch": "^3.0.0",
|
||||
"rimraf": "^3.0.2",
|
||||
"seedrandom": "^3.0.5",
|
||||
"tslib": "^2.3.1",
|
||||
"typedoc": "0.22.7",
|
||||
"typescript": "4.4.4"
|
||||
},
|
||||
"dependencies": {
|
||||
}
|
||||
}
|
||||
|
|
|
|||
244
src/config.ts
244
src/config.ts
|
|
@ -182,43 +182,46 @@ export interface GestureConfig {
|
|||
*/
|
||||
export interface Config {
|
||||
/** Backend used for TFJS operations
|
||||
* Valid build-in backends are:
|
||||
* - Browser: `cpu`, `wasm`, `webgl`, `humangl`
|
||||
* valid build-in backends are:
|
||||
* - Browser: `cpu`, `wasm`, `webgl`, `humangl`, `webgpu`
|
||||
* - NodeJS: `cpu`, `wasm`, `tensorflow`
|
||||
*
|
||||
* Experimental:
|
||||
* - Browser: `webgpu` - requires custom build of `tfjs-backend-webgpu`
|
||||
*
|
||||
* Defaults: `humangl` for browser and `tensorflow` for nodejs
|
||||
* default: `humangl` for browser and `tensorflow` for nodejs
|
||||
*/
|
||||
backend: '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu',
|
||||
// backend: string;
|
||||
|
||||
/** Path to *.wasm files if backend is set to `wasm`
|
||||
* - if not set, auto-detects to link to CDN `jsdelivr` when running in browser
|
||||
* default: auto-detects to link to CDN `jsdelivr` when running in browser
|
||||
*/
|
||||
wasmPath: string,
|
||||
|
||||
/** Print debug statements to console */
|
||||
/** Print debug statements to console
|
||||
* default: `true`
|
||||
*/
|
||||
debug: boolean,
|
||||
|
||||
/** Perform model loading and inference concurrently or sequentially */
|
||||
/** Perform model loading and inference concurrently or sequentially
|
||||
* default: `true`
|
||||
*/
|
||||
async: boolean,
|
||||
|
||||
/** What to use for `human.warmup()`
|
||||
* - warmup pre-initializes all models for faster inference but can take significant time on startup
|
||||
* - used by `webgl`, `humangl` and `webgpu` backends
|
||||
* default: `full`
|
||||
*/
|
||||
warmup: 'none' | 'face' | 'full' | 'body',
|
||||
// warmup: string;
|
||||
|
||||
/** Base model path (typically starting with file://, http:// or https://) for all models
|
||||
* - individual modelPath values are relative to this path
|
||||
* default: `../models/` for browsers and `file://models/` for nodejs
|
||||
*/
|
||||
modelBasePath: string,
|
||||
|
||||
/** Cache sensitivity
|
||||
* - values 0..1 where 0.01 means reset cache if input changed more than 1%
|
||||
* - set to 0 to disable caching
|
||||
* default: 0.7
|
||||
*/
|
||||
cacheSensitivity: number;
|
||||
|
||||
|
|
@ -247,185 +250,120 @@ export interface Config {
|
|||
segmentation: Partial<SegmentationConfig>,
|
||||
}
|
||||
|
||||
/** - [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L250) */
|
||||
/** - [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L253) */
|
||||
const config: Config = {
|
||||
backend: '', // select tfjs backend to use, leave empty to use default backend
|
||||
// for browser environments: 'webgl', 'wasm', 'cpu', or 'humangl' (which is a custom version of webgl)
|
||||
// for nodejs environments: 'tensorflow', 'wasm', 'cpu'
|
||||
// default set to `humangl` for browsers and `tensorflow` for nodejs
|
||||
modelBasePath: '', // base path for all models
|
||||
// default set to `../models/` for browsers and `file://models/` for nodejs
|
||||
wasmPath: '', // path for wasm binaries, only used for backend: wasm
|
||||
// default set to download from jsdeliv during Human class instantiation
|
||||
debug: true, // print additional status messages to console
|
||||
async: true, // execute enabled models in parallel
|
||||
warmup: 'full', // what to use for human.warmup(), can be 'none', 'face', 'full'
|
||||
// warmup pre-initializes all models for faster inference but can take
|
||||
// significant time on startup
|
||||
// only used for `webgl` and `humangl` backends
|
||||
cacheSensitivity: 0.70, // cache sensitivity
|
||||
// values 0..1 where 0.01 means reset cache if input changed more than 1%
|
||||
// set to 0 to disable caching
|
||||
skipAllowed: false, // internal & dynamic
|
||||
filter: { // run input through image filters before inference
|
||||
// image filters run with near-zero latency as they are executed on the GPU
|
||||
enabled: true, // enable image pre-processing filters
|
||||
width: 0, // resize input width
|
||||
height: 0, // resize input height
|
||||
// if both width and height are set to 0, there is no resizing
|
||||
// if just one is set, second one is scaled automatically
|
||||
// if both are set, values are used as-is
|
||||
flip: false, // flip input as mirror image
|
||||
return: true, // return processed canvas imagedata in result
|
||||
brightness: 0, // range: -1 (darken) to 1 (lighten)
|
||||
contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)
|
||||
sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)
|
||||
blur: 0, // range: 0 (no blur) to N (blur radius in pixels)
|
||||
saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)
|
||||
hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)
|
||||
negative: false, // image negative
|
||||
sepia: false, // image sepia colors
|
||||
vintage: false, // image vintage colors
|
||||
kodachrome: false, // image kodachrome colors
|
||||
technicolor: false, // image technicolor colors
|
||||
polaroid: false, // image polaroid camera effect
|
||||
pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)
|
||||
backend: '',
|
||||
modelBasePath: '',
|
||||
wasmPath: '',
|
||||
debug: true,
|
||||
async: true,
|
||||
warmup: 'full',
|
||||
cacheSensitivity: 0.70,
|
||||
skipAllowed: false,
|
||||
filter: {
|
||||
enabled: true,
|
||||
width: 0,
|
||||
height: 0,
|
||||
flip: false,
|
||||
return: true,
|
||||
brightness: 0,
|
||||
contrast: 0,
|
||||
sharpness: 0,
|
||||
blur: 0,
|
||||
saturation: 0,
|
||||
hue: 0,
|
||||
negative: false,
|
||||
sepia: false,
|
||||
vintage: false,
|
||||
kodachrome: false,
|
||||
technicolor: false,
|
||||
polaroid: false,
|
||||
pixelate: 0,
|
||||
},
|
||||
|
||||
gesture: {
|
||||
enabled: true, // enable gesture recognition based on model results
|
||||
enabled: true,
|
||||
},
|
||||
|
||||
face: {
|
||||
enabled: true, // controls if specified modul is enabled
|
||||
// face.enabled is required for all face models:
|
||||
// detector, mesh, iris, age, gender, emotion
|
||||
// (note: module is not loaded until it is required)
|
||||
enabled: true,
|
||||
detector: {
|
||||
modelPath: 'blazeface.json', // detector model, can be absolute path or relative to modelBasePath
|
||||
rotation: true, // use best-guess rotated face image or just box with rotation as-is
|
||||
// false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees
|
||||
// this parameter is not valid in nodejs
|
||||
maxDetected: 1, // maximum number of faces detected in the input
|
||||
// should be set to the minimum number for performance
|
||||
skipFrames: 99, // how many max frames to go without re-running the face bounding box detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
skipTime: 2500, // how many ms to go without re-running the face bounding box detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
minConfidence: 0.2, // threshold for discarding a prediction
|
||||
iouThreshold: 0.1, // ammount of overlap between two detected objects before one object is removed
|
||||
return: false, // return extracted face as tensor
|
||||
// in which case user is reponsible for disposing the tensor
|
||||
modelPath: 'blazeface.json',
|
||||
rotation: true,
|
||||
maxDetected: 1,
|
||||
skipFrames: 99,
|
||||
skipTime: 2500,
|
||||
minConfidence: 0.2,
|
||||
iouThreshold: 0.1,
|
||||
return: false,
|
||||
},
|
||||
|
||||
mesh: {
|
||||
enabled: true,
|
||||
modelPath: 'facemesh.json', // facemesh model, can be absolute path or relative to modelBasePath
|
||||
modelPath: 'facemesh.json',
|
||||
},
|
||||
|
||||
iris: {
|
||||
enabled: true,
|
||||
modelPath: 'iris.json', // face iris model
|
||||
// can be either absolute path or relative to modelBasePath
|
||||
modelPath: 'iris.json',
|
||||
},
|
||||
|
||||
emotion: {
|
||||
enabled: true,
|
||||
minConfidence: 0.1, // threshold for discarding a prediction
|
||||
skipFrames: 99, // how max many frames to go without re-running the detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
skipTime: 1500, // how many ms to go without re-running the face bounding box detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
modelPath: 'emotion.json', // face emotion model, can be absolute path or relative to modelBasePath
|
||||
minConfidence: 0.1,
|
||||
skipFrames: 99,
|
||||
skipTime: 1500,
|
||||
modelPath: 'emotion.json',
|
||||
},
|
||||
|
||||
description: {
|
||||
enabled: true, // to improve accuracy of face description extraction it is
|
||||
// recommended to enable detector.rotation and mesh.enabled
|
||||
modelPath: 'faceres.json', // face description model
|
||||
// can be either absolute path or relative to modelBasePath
|
||||
skipFrames: 99, // how many max frames to go without re-running the detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
skipTime: 3000, // how many ms to go without re-running the face bounding box detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
minConfidence: 0.1, // threshold for discarding a prediction
|
||||
enabled: true,
|
||||
modelPath: 'faceres.json',
|
||||
skipFrames: 99,
|
||||
skipTime: 3000,
|
||||
minConfidence: 0.1,
|
||||
},
|
||||
|
||||
antispoof: {
|
||||
enabled: false,
|
||||
skipFrames: 99, // how max many frames to go without re-running the detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
skipTime: 4000, // how many ms to go without re-running the face bounding box detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
modelPath: 'antispoof.json', // face description model
|
||||
// can be either absolute path or relative to modelBasePath
|
||||
skipFrames: 99,
|
||||
skipTime: 4000,
|
||||
modelPath: 'antispoof.json',
|
||||
},
|
||||
},
|
||||
|
||||
body: {
|
||||
enabled: true,
|
||||
modelPath: 'movenet-lightning.json', // body model, can be absolute path or relative to modelBasePath
|
||||
// can be 'posenet', 'blazepose', 'efficientpose', 'movenet-lightning', 'movenet-thunder'
|
||||
modelPath: 'movenet-lightning.json',
|
||||
detector: {
|
||||
modelPath: '', // optional body detector
|
||||
modelPath: '',
|
||||
},
|
||||
maxDetected: -1, // maximum number of people detected in the input
|
||||
// should be set to the minimum number for performance
|
||||
// only valid for posenet and movenet-multipose as other models detects single pose
|
||||
// set to -1 to autodetect based on number of detected faces
|
||||
minConfidence: 0.3, // threshold for discarding a prediction
|
||||
skipFrames: 1, // how many max frames to go without re-running the detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
skipTime: 200, // how many ms to go without re-running the face bounding box detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
},
|
||||
|
||||
maxDetected: -1,
|
||||
minConfidence: 0.3,
|
||||
skipFrames: 1,
|
||||
skipTime: 200,
|
||||
},
|
||||
hand: {
|
||||
enabled: true,
|
||||
rotation: true, // use best-guess rotated hand image or just box with rotation as-is
|
||||
// false means higher performance, but incorrect finger mapping if hand is inverted
|
||||
// only valid for `handdetect` variation
|
||||
skipFrames: 99, // how many max frames to go without re-running the hand bounding box detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
skipTime: 2000, // how many ms to go without re-running the face bounding box detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
minConfidence: 0.50, // threshold for discarding a prediction
|
||||
iouThreshold: 0.2, // ammount of overlap between two detected objects before one object is removed
|
||||
maxDetected: -1, // maximum number of hands detected in the input
|
||||
// should be set to the minimum number for performance
|
||||
// set to -1 to autodetect based on number of detected faces
|
||||
landmarks: true, // detect hand landmarks or just hand boundary box
|
||||
rotation: true,
|
||||
skipFrames: 99,
|
||||
skipTime: 2000,
|
||||
minConfidence: 0.50,
|
||||
iouThreshold: 0.2,
|
||||
maxDetected: -1,
|
||||
landmarks: true,
|
||||
detector: {
|
||||
modelPath: 'handtrack.json', // hand detector model, can be absolute path or relative to modelBasePath
|
||||
// can be 'handdetect' or 'handtrack'
|
||||
modelPath: 'handtrack.json',
|
||||
},
|
||||
skeleton: {
|
||||
modelPath: 'handskeleton.json', // hand skeleton model, can be absolute path or relative to modelBasePath
|
||||
modelPath: 'handskeleton.json',
|
||||
},
|
||||
},
|
||||
|
||||
object: {
|
||||
enabled: false,
|
||||
modelPath: 'mb3-centernet.json', // experimental: object detection model, can be absolute path or relative to modelBasePath
|
||||
// can be 'mb3-centernet' or 'nanodet'
|
||||
minConfidence: 0.2, // threshold for discarding a prediction
|
||||
iouThreshold: 0.4, // ammount of overlap between two detected objects before one object is removed
|
||||
maxDetected: 10, // maximum number of objects detected in the input
|
||||
skipFrames: 99, // how many max frames to go without re-running the detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
skipTime: 1000, // how many ms to go without re-running object detector
|
||||
// only used when cacheSensitivity is not zero
|
||||
modelPath: 'mb3-centernet.json',
|
||||
minConfidence: 0.2,
|
||||
iouThreshold: 0.4,
|
||||
maxDetected: 10,
|
||||
skipFrames: 99,
|
||||
skipTime: 1000,
|
||||
},
|
||||
|
||||
segmentation: {
|
||||
enabled: false, // controlls and configures all body segmentation module
|
||||
// removes background from input containing person
|
||||
// if segmentation is enabled it will run as preprocessing task before any other model
|
||||
// alternatively leave it disabled and use it on-demand using human.segmentation method which can
|
||||
// remove background or replace it with user-provided background
|
||||
modelPath: 'selfie.json', // experimental: object detection model, can be absolute path or relative to modelBasePath
|
||||
// can be 'selfie' or 'meet'
|
||||
blur: 8, // blur segmentation output by n pixels for more realistic image
|
||||
enabled: false,
|
||||
modelPath: 'selfie.json',
|
||||
blur: 8,
|
||||
},
|
||||
};
|
||||
|
||||
|
|
|
|||
|
|
@ -1,27 +1,27 @@
|
|||
2021-10-28 14:20:49 [36mINFO: [39m @vladmandic/human version 2.4.3
|
||||
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2021-10-28 14:20:49 [36mINFO: [39m Toolchain: {"build":"0.6.3","esbuild":"0.13.10","typescript":"4.4.4","typedoc":"0.22.7","eslint":"8.1.0"}
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2021-10-28 14:20:50 [35mSTATE:[39m Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1063,"outputBytes":1652}
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2021-10-28 14:21:09 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types","files":96}
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2021-10-28 14:21:15 [35mSTATE:[39m TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":48,"generated":true}
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||||
2021-10-28 14:21:15 [35mSTATE:[39m Compile: {"name":"demo/browser","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":3366,"outputBytes":3256}
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2021-10-28 14:21:53 [35mSTATE:[39m Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":91,"errors":0,"warnings":0}
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||||
2021-10-28 14:21:53 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
|
||||
2021-10-28 14:21:53 [36mINFO: [39m Done...
|
||||
2021-10-29 15:45:44 [36mINFO: [39m @vladmandic/human version 2.4.3
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||||
2021-10-29 15:45:44 [36mINFO: [39m User: vlado Platform: linux Arch: x64 Node: v17.0.1
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2021-10-29 15:45:44 [36mINFO: [39m Application: {"name":"@vladmandic/human","version":"2.4.3"}
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2021-10-29 15:45:44 [36mINFO: [39m Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
|
||||
2021-10-29 15:45:44 [36mINFO: [39m Toolchain: {"build":"0.6.3","esbuild":"0.13.10","typescript":"4.4.4","typedoc":"0.22.7","eslint":"8.1.0"}
|
||||
2021-10-29 15:45:44 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
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2021-10-29 15:45:44 [35mSTATE:[39m Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":55,"inputBytes":516511,"outputBytes":432668}
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2021-10-29 15:45:44 [35mSTATE:[39m Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1063,"outputBytes":1652}
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|
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<!DOCTYPE html><html class="default no-js"><head><meta charSet="utf-8"/><meta http-equiv="x-ua-compatible" content="IE=edge"/><title>Config | @vladmandic/human - v2.4.3</title><meta name="description" content="Documentation for @vladmandic/human - v2.4.3"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="stylesheet" href="../assets/style.css"/><link rel="stylesheet" href="../assets/highlight.css"/><script async src="../assets/search.js" id="search-script"></script></head><body><script>document.body.classList.add(localStorage.getItem("tsd-theme") || "os")</script><header><div class="tsd-page-toolbar"><div class="container"><div class="table-wrap"><div class="table-cell" id="tsd-search" data-base=".."><div class="field"><label for="tsd-search-field" class="tsd-widget search no-caption">Search</label><input type="text" id="tsd-search-field"/></div><ul class="results"><li class="state loading">Preparing search index...</li><li class="state failure">The search index is not available</li></ul><a href="../index.html" class="title">@vladmandic/human - v2.4.3</a></div><div class="table-cell" id="tsd-widgets"><div id="tsd-filter"><a href="#" class="tsd-widget options no-caption" data-toggle="options">Options</a><div class="tsd-filter-group"><div class="tsd-select" id="tsd-filter-visibility"><span class="tsd-select-label">All</span><ul class="tsd-select-list"><li data-value="public">Public</li><li data-value="protected">Public/Protected</li><li data-value="private" class="selected">All</li></ul></div> <input type="checkbox" id="tsd-filter-inherited" checked/><label class="tsd-widget" for="tsd-filter-inherited">Inherited</label></div></div><a href="#" class="tsd-widget menu no-caption" data-toggle="menu">Menu</a></div></div></div></div><div class="tsd-page-title"><div class="container"><ul class="tsd-breadcrumb"><li><a href="../index.html">@vladmandic/human - v2.4.3</a></li><li><a href="Config.html">Config</a></li></ul><h1>Interface Config</h1></div></div></header><div class="container container-main"><div class="row"><div class="col-8 col-content"><section class="tsd-panel tsd-comment"><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Configuration interface definition for <strong>Human</strong> library</p>
|
||||
</div><div><p>Contains all configurable parameters</p>
|
||||
</div></div></section><section class="tsd-panel tsd-hierarchy"><h3>Hierarchy</h3><ul class="tsd-hierarchy"><li><span class="target">Config</span></li></ul></section><section class="tsd-panel-group tsd-index-group"><h2>Index</h2><section class="tsd-panel tsd-index-panel"><div class="tsd-index-content"><section class="tsd-index-section "><h3>Properties</h3><ul class="tsd-index-list"><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#async" class="tsd-kind-icon">async</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#backend" class="tsd-kind-icon">backend</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#cacheSensitivity" class="tsd-kind-icon">cache<wbr/>Sensitivity</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#debug" class="tsd-kind-icon">debug</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#filter" class="tsd-kind-icon">filter</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#modelBasePath" class="tsd-kind-icon">model<wbr/>Base<wbr/>Path</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#segmentation" class="tsd-kind-icon">segmentation</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#skipAllowed" class="tsd-kind-icon">skip<wbr/>Allowed</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#warmup" class="tsd-kind-icon">warmup</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#wasmPath" class="tsd-kind-icon">wasm<wbr/>Path</a></li></ul></section></div></section></section><section class="tsd-panel-group tsd-member-group "><h2>Properties</h2><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="async" class="tsd-anchor"></a><h3>async</h3><div class="tsd-signature tsd-kind-icon">async<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L206">src/config.ts:206</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Perform model loading and inference concurrently or sequentially</p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="backend" class="tsd-anchor"></a><h3>backend</h3><div class="tsd-signature tsd-kind-icon">backend<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">""</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"cpu"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"wasm"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"webgl"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"humangl"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"tensorflow"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"webgpu"</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L194">src/config.ts:194</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-hierarchy"><h3>Hierarchy</h3><ul class="tsd-hierarchy"><li><span class="target">Config</span></li></ul></section><section class="tsd-panel-group tsd-index-group"><h2>Index</h2><section class="tsd-panel tsd-index-panel"><div class="tsd-index-content"><section class="tsd-index-section "><h3>Properties</h3><ul class="tsd-index-list"><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#async" class="tsd-kind-icon">async</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#backend" class="tsd-kind-icon">backend</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#cacheSensitivity" class="tsd-kind-icon">cache<wbr/>Sensitivity</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#debug" class="tsd-kind-icon">debug</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#filter" class="tsd-kind-icon">filter</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#modelBasePath" class="tsd-kind-icon">model<wbr/>Base<wbr/>Path</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#segmentation" class="tsd-kind-icon">segmentation</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#skipAllowed" class="tsd-kind-icon">skip<wbr/>Allowed</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#warmup" class="tsd-kind-icon">warmup</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#wasmPath" class="tsd-kind-icon">wasm<wbr/>Path</a></li></ul></section></div></section></section><section class="tsd-panel-group tsd-member-group "><h2>Properties</h2><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="async" class="tsd-anchor"></a><h3>async</h3><div class="tsd-signature tsd-kind-icon">async<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L205">src/config.ts:205</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Perform model loading and inference concurrently or sequentially
|
||||
default: <code>true</code></p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="backend" class="tsd-anchor"></a><h3>backend</h3><div class="tsd-signature tsd-kind-icon">backend<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">""</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"cpu"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"wasm"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"webgl"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"humangl"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"tensorflow"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"webgpu"</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L190">src/config.ts:190</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Backend used for TFJS operations
|
||||
Valid build-in backends are:</p>
|
||||
valid build-in backends are:</p>
|
||||
<ul>
|
||||
<li>Browser: <code>cpu</code>, <code>wasm</code>, <code>webgl</code>, <code>humangl</code></li>
|
||||
<li>NodeJS: <code>cpu</code>, <code>wasm</code>, <code>tensorflow</code></li>
|
||||
<li>Browser: <code>cpu</code>, <code>wasm</code>, <code>webgl</code>, <code>humangl</code>, <code>webgpu</code></li>
|
||||
<li>NodeJS: <code>cpu</code>, <code>wasm</code>, <code>tensorflow</code>
|
||||
default: <code>humangl</code> for browser and <code>tensorflow</code> for nodejs</li>
|
||||
</ul>
|
||||
</div><div><p>Experimental:</p>
|
||||
<ul>
|
||||
<li>Browser: <code>webgpu</code> - requires custom build of <code>tfjs-backend-webgpu</code></li>
|
||||
</ul>
|
||||
<p>Defaults: <code>humangl</code> for browser and <code>tensorflow</code> for nodejs</p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="body" class="tsd-anchor"></a><h3>body</h3><div class="tsd-signature tsd-kind-icon">body<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="BodyConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">BodyConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L238">src/config.ts:238</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="body" class="tsd-anchor"></a><h3>body</h3><div class="tsd-signature tsd-kind-icon">body<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="BodyConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">BodyConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L241">src/config.ts:241</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p><a href="BodyConfig.html">BodyConfig</a></p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="cacheSensitivity" class="tsd-anchor"></a><h3>cache<wbr/>Sensitivity</h3><div class="tsd-signature tsd-kind-icon">cache<wbr/>Sensitivity<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L223">src/config.ts:223</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="cacheSensitivity" class="tsd-anchor"></a><h3>cache<wbr/>Sensitivity</h3><div class="tsd-signature tsd-kind-icon">cache<wbr/>Sensitivity<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L226">src/config.ts:226</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Cache sensitivity</p>
|
||||
<ul>
|
||||
<li>values 0..1 where 0.01 means reset cache if input changed more than 1%</li>
|
||||
<li>set to 0 to disable caching</li>
|
||||
<li>set to 0 to disable caching
|
||||
default: 0.7</li>
|
||||
</ul>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="debug" class="tsd-anchor"></a><h3>debug</h3><div class="tsd-signature tsd-kind-icon">debug<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L203">src/config.ts:203</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Print debug statements to console</p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="face" class="tsd-anchor"></a><h3>face</h3><div class="tsd-signature tsd-kind-icon">face<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="FaceConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">FaceConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L235">src/config.ts:235</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="debug" class="tsd-anchor"></a><h3>debug</h3><div class="tsd-signature tsd-kind-icon">debug<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L200">src/config.ts:200</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Print debug statements to console
|
||||
default: <code>true</code></p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="face" class="tsd-anchor"></a><h3>face</h3><div class="tsd-signature tsd-kind-icon">face<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="FaceConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">FaceConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L238">src/config.ts:238</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p><a href="FaceConfig.html">FaceConfig</a></p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="filter" class="tsd-anchor"></a><h3>filter</h3><div class="tsd-signature tsd-kind-icon">filter<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="FilterConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">FilterConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L229">src/config.ts:229</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="filter" class="tsd-anchor"></a><h3>filter</h3><div class="tsd-signature tsd-kind-icon">filter<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="FilterConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">FilterConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L232">src/config.ts:232</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p><a href="FilterConfig.html">FilterConfig</a></p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="gesture" class="tsd-anchor"></a><h3>gesture</h3><div class="tsd-signature tsd-kind-icon">gesture<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="GestureConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">GestureConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L232">src/config.ts:232</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="gesture" class="tsd-anchor"></a><h3>gesture</h3><div class="tsd-signature tsd-kind-icon">gesture<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="GestureConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">GestureConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L235">src/config.ts:235</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p><a href="GestureConfig.html">GestureConfig</a></p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="hand" class="tsd-anchor"></a><h3>hand</h3><div class="tsd-signature tsd-kind-icon">hand<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="HandConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">HandConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L241">src/config.ts:241</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="hand" class="tsd-anchor"></a><h3>hand</h3><div class="tsd-signature tsd-kind-icon">hand<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="HandConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">HandConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L244">src/config.ts:244</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p><a href="HandConfig.html">HandConfig</a></p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="modelBasePath" class="tsd-anchor"></a><h3>model<wbr/>Base<wbr/>Path</h3><div class="tsd-signature tsd-kind-icon">model<wbr/>Base<wbr/>Path<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L217">src/config.ts:217</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="modelBasePath" class="tsd-anchor"></a><h3>model<wbr/>Base<wbr/>Path</h3><div class="tsd-signature tsd-kind-icon">model<wbr/>Base<wbr/>Path<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L219">src/config.ts:219</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Base model path (typically starting with file://, http:// or https://) for all models</p>
|
||||
<ul>
|
||||
<li>individual modelPath values are relative to this path</li>
|
||||
<li>individual modelPath values are relative to this path
|
||||
default: <code>../models/</code> for browsers and <code>file://models/</code> for nodejs</li>
|
||||
</ul>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="object" class="tsd-anchor"></a><h3>object</h3><div class="tsd-signature tsd-kind-icon">object<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="ObjectConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">ObjectConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L244">src/config.ts:244</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="object" class="tsd-anchor"></a><h3>object</h3><div class="tsd-signature tsd-kind-icon">object<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="ObjectConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">ObjectConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L247">src/config.ts:247</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p><a href="ObjectConfig.html">ObjectConfig</a></p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="segmentation" class="tsd-anchor"></a><h3>segmentation</h3><div class="tsd-signature tsd-kind-icon">segmentation<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="SegmentationConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">SegmentationConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L247">src/config.ts:247</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="segmentation" class="tsd-anchor"></a><h3>segmentation</h3><div class="tsd-signature tsd-kind-icon">segmentation<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol"><</span><a href="SegmentationConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">SegmentationConfig</a><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L250">src/config.ts:250</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p><a href="SegmentationConfig.html">SegmentationConfig</a></p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="skipAllowed" class="tsd-anchor"></a><h3>skip<wbr/>Allowed</h3><div class="tsd-signature tsd-kind-icon">skip<wbr/>Allowed<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L226">src/config.ts:226</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="skipAllowed" class="tsd-anchor"></a><h3>skip<wbr/>Allowed</h3><div class="tsd-signature tsd-kind-icon">skip<wbr/>Allowed<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L229">src/config.ts:229</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Internal Variable</p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="warmup" class="tsd-anchor"></a><h3>warmup</h3><div class="tsd-signature tsd-kind-icon">warmup<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">"face"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"body"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"none"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"full"</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L211">src/config.ts:211</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="warmup" class="tsd-anchor"></a><h3>warmup</h3><div class="tsd-signature tsd-kind-icon">warmup<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">"face"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"body"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"none"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"full"</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L212">src/config.ts:212</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>What to use for <code>human.warmup()</code></p>
|
||||
<ul>
|
||||
<li>warmup pre-initializes all models for faster inference but can take significant time on startup</li>
|
||||
<li>used by <code>webgl</code>, <code>humangl</code> and <code>webgpu</code> backends
|
||||
default: <code>full</code></li>
|
||||
</ul>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="wasmPath" class="tsd-anchor"></a><h3>wasm<wbr/>Path</h3><div class="tsd-signature tsd-kind-icon">wasm<wbr/>Path<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L200">src/config.ts:200</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Path to *.wasm files if backend is set to <code>wasm</code></p>
|
||||
<ul>
|
||||
<li>if not set, auto-detects to link to CDN <code>jsdelivr</code> when running in browser</li>
|
||||
</ul>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="wasmPath" class="tsd-anchor"></a><h3>wasm<wbr/>Path</h3><div class="tsd-signature tsd-kind-icon">wasm<wbr/>Path<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L195">src/config.ts:195</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Path to *.wasm files if backend is set to <code>wasm</code>
|
||||
default: auto-detects to link to CDN <code>jsdelivr</code> when running in browser</p>
|
||||
</div></div></section></section></div><div class="col-4 col-menu menu-sticky-wrap menu-highlight"><nav class="tsd-navigation primary"><ul><li class=""><a href="../index.html">Exports</a></li><li class=" tsd-kind-namespace"><a href="../modules/Tensor.html">Tensor</a></li></ul></nav><nav class="tsd-navigation secondary menu-sticky"><ul><li class="current tsd-kind-interface"><a href="Config.html" class="tsd-kind-icon">Config</a><ul><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#async" class="tsd-kind-icon">async</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#backend" class="tsd-kind-icon">backend</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#cacheSensitivity" class="tsd-kind-icon">cache<wbr/>Sensitivity</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#debug" class="tsd-kind-icon">debug</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#filter" class="tsd-kind-icon">filter</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#modelBasePath" class="tsd-kind-icon">model<wbr/>Base<wbr/>Path</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#segmentation" class="tsd-kind-icon">segmentation</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#skipAllowed" class="tsd-kind-icon">skip<wbr/>Allowed</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#warmup" class="tsd-kind-icon">warmup</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#wasmPath" class="tsd-kind-icon">wasm<wbr/>Path</a></li></ul></li></ul></nav></div></div></div><footer class=""><div class="container"><h2>Legend</h2><div class="tsd-legend-group"><ul class="tsd-legend"><li class="tsd-kind-constructor tsd-parent-kind-class"><span class="tsd-kind-icon">Constructor</span></li><li class="tsd-kind-property tsd-parent-kind-class"><span class="tsd-kind-icon">Property</span></li><li class="tsd-kind-method tsd-parent-kind-class"><span class="tsd-kind-icon">Method</span></li></ul><ul class="tsd-legend"><li class="tsd-kind-property tsd-parent-kind-interface"><span class="tsd-kind-icon">Property</span></li></ul></div><h2>Settings</h2><p>Theme <select id="theme"><option value="os">OS</option><option value="light">Light</option><option value="dark">Dark</option></select></p></div></footer><div class="overlay"></div><script src="../assets/main.js"></script></body></html>
|
||||
|
|
@ -1786,6 +1786,7 @@ export function broadcastArgs(...args: any[]): any;
|
|||
export namespace broadcastArgs { }
|
||||
export function broadcastTo(...args: any[]): any;
|
||||
export namespace broadcastTo { }
|
||||
declare var broadcast_util_exports: {};
|
||||
declare var browser_exports: {};
|
||||
export function buffer(shape: any, dtype: string | undefined, values: any): {
|
||||
dtype: any;
|
||||
|
|
@ -2636,5 +2637,5 @@ declare function stringSplit(...args: any[]): any;
|
|||
declare namespace stringSplit { }
|
||||
declare function stringToHashBucketFast(...args: any[]): any;
|
||||
declare namespace stringToHashBucketFast { }
|
||||
export { add2 as add, backend_util_exports as backend_util, browser_exports as browser, exports_constraints_exports as constraints, src_exports as data, device_util_exports as device_util, fused_ops_exports as fused, gather_nd_util_exports as gather_util, gpgpu_util_exports as gpgpu_util, exports_initializers_exports as initializers, io_exports as io, isFinite2 as isFinite, isNaN2 as isNaN, kernel_impls_exports as kernel_impls, exports_layers_exports as layers, log4 as log, math_exports as math, exports_metrics_exports as metrics, exports_models_exports as models, ones2 as ones, print2 as print, exports_regularizers_exports as regularizers, round2 as round, scatter_nd_util_exports as scatter_util, serialization_exports as serialization, shared_exports as shared, slice_util_exports as slice_util, sum2 as sum, tanh2 as tanh, tensor_util_exports as tensor_util, test_util_exports as test_util, util_exports as util, version8 as version, version3 as version_converter, version5 as version_cpu, version2 as version_layers, version7 as version_wasm, version6 as version_webgl, webgl_util_exports as webgl_util, webgpu_exports as webgpu };
|
||||
export { add2 as add, backend_util_exports as backend_util, broadcast_util_exports as broadcast_util, browser_exports as browser, exports_constraints_exports as constraints, src_exports as data, device_util_exports as device_util, fused_ops_exports as fused, gather_nd_util_exports as gather_util, gpgpu_util_exports as gpgpu_util, exports_initializers_exports as initializers, io_exports as io, isFinite2 as isFinite, isNaN2 as isNaN, kernel_impls_exports as kernel_impls, exports_layers_exports as layers, log4 as log, math_exports as math, exports_metrics_exports as metrics, exports_models_exports as models, ones2 as ones, print2 as print, exports_regularizers_exports as regularizers, round2 as round, scatter_nd_util_exports as scatter_util, serialization_exports as serialization, shared_exports as shared, slice_util_exports as slice_util, sum2 as sum, tanh2 as tanh, tensor_util_exports as tensor_util, test_util_exports as test_util, util_exports as util, version8 as version, version3 as version_converter, version5 as version_cpu, version2 as version_layers, version7 as version_wasm, version6 as version_webgl, webgl_util_exports as webgl_util, webgpu_exports as webgpu };
|
||||
//# sourceMappingURL=tfjs.esm.d.ts.map
|
||||
File diff suppressed because one or more lines are too long
|
|
@ -168,35 +168,39 @@ export interface GestureConfig {
|
|||
*/
|
||||
export interface Config {
|
||||
/** Backend used for TFJS operations
|
||||
* Valid build-in backends are:
|
||||
* - Browser: `cpu`, `wasm`, `webgl`, `humangl`
|
||||
* valid build-in backends are:
|
||||
* - Browser: `cpu`, `wasm`, `webgl`, `humangl`, `webgpu`
|
||||
* - NodeJS: `cpu`, `wasm`, `tensorflow`
|
||||
*
|
||||
* Experimental:
|
||||
* - Browser: `webgpu` - requires custom build of `tfjs-backend-webgpu`
|
||||
*
|
||||
* Defaults: `humangl` for browser and `tensorflow` for nodejs
|
||||
* default: `humangl` for browser and `tensorflow` for nodejs
|
||||
*/
|
||||
backend: '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu';
|
||||
/** Path to *.wasm files if backend is set to `wasm`
|
||||
* - if not set, auto-detects to link to CDN `jsdelivr` when running in browser
|
||||
* default: auto-detects to link to CDN `jsdelivr` when running in browser
|
||||
*/
|
||||
wasmPath: string;
|
||||
/** Print debug statements to console */
|
||||
/** Print debug statements to console
|
||||
* default: `true`
|
||||
*/
|
||||
debug: boolean;
|
||||
/** Perform model loading and inference concurrently or sequentially */
|
||||
/** Perform model loading and inference concurrently or sequentially
|
||||
* default: `true`
|
||||
*/
|
||||
async: boolean;
|
||||
/** What to use for `human.warmup()`
|
||||
* - warmup pre-initializes all models for faster inference but can take significant time on startup
|
||||
* - used by `webgl`, `humangl` and `webgpu` backends
|
||||
* default: `full`
|
||||
*/
|
||||
warmup: 'none' | 'face' | 'full' | 'body';
|
||||
/** Base model path (typically starting with file://, http:// or https://) for all models
|
||||
* - individual modelPath values are relative to this path
|
||||
* default: `../models/` for browsers and `file://models/` for nodejs
|
||||
*/
|
||||
modelBasePath: string;
|
||||
/** Cache sensitivity
|
||||
* - values 0..1 where 0.01 means reset cache if input changed more than 1%
|
||||
* - set to 0 to disable caching
|
||||
* default: 0.7
|
||||
*/
|
||||
cacheSensitivity: number;
|
||||
/** Internal Variable */
|
||||
|
|
@ -216,7 +220,7 @@ export interface Config {
|
|||
/** {@link SegmentationConfig} */
|
||||
segmentation: Partial<SegmentationConfig>;
|
||||
}
|
||||
/** - [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L250) */
|
||||
/** - [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L253) */
|
||||
declare const config: Config;
|
||||
export { config as defaults };
|
||||
//# sourceMappingURL=config.d.ts.map
|
||||
|
|
@ -1 +1 @@
|
|||
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|
||||
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|
||||
2
wiki
2
wiki
|
|
@ -1 +1 @@
|
|||
Subproject commit 5e874c076123f1c2b2821b1c37f6005e775465aa
|
||||
Subproject commit 5e89af1004860ea9f302e516699b5e0b4e0a825f
|
||||
Loading…
Reference in New Issue