mirror of https://github.com/vladmandic/human
webgpu and wasm optimizations
Vladimir Mandic
parent
35c974c673
commit
55e2b2ab00
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@ -9,9 +9,13 @@
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## Changelog
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### **HEAD -> main** 2022/05/24 mandic00@live.com
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### **HEAD -> main** 2022/05/30 mandic00@live.com
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### **origin/main** 2022/05/29 mandic00@live.com
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- full rebuild
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### **2.7.4** 2022/05/24 mandic00@live.com
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58
TODO.md
58
TODO.md
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@ -1,38 +1,64 @@
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# To-Do list for Human library
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## Work in Progress
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## Work-in-Progress
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### Exploring
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N/A
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- Optical flow: <https://docs.opencv.org/3.3.1/db/d7f/tutorial_js_lucas_kanade.html>
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- Advanced histogram equalization: Adaptive, Contrast Limited, CLAHE
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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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<hr><br>
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<br><hr><br>
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## Exploring
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- Optical flow for intelligent temporal interpolation
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<https://docs.opencv.org/3.3.1/db/d7f/tutorial_js_lucas_kanade.html>
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- Advanced histogram equalization for optimization of badly lit scenes
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**Adaptive**, **Contrast Limited**, **CLAHE**
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- TFLite models
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<https://js.tensorflow.org/api_tflite/0.0.1-alpha.4/>
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- Body segmentation with temporal analysis
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<https://github.com/PeterL1n/RobustVideoMatting>
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<hr><br>
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## Known Issues
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### Face with Attention
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`FaceMesh-Landmarks` model is supported only with `CPU` and `WebGL` backends due to `TFJS` issues
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#### WebGPU
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### WASM
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Support for **WASM SIMD** and **WASM MultiThreading** is still disabled by default in **Chromium** based browsers
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Suggestion is to enable it manually for major performance boost
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Enable via <chrome://flags/#enable-experimental-webassembly-features>
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### WebGPU
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Experimental support only until support is officially added in Chromium
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Enable via <chrome://flags/#enable-unsafe-webgpu>
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### Firefox
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Running in **web workers** requires `OffscreenCanvas` which is still disabled by default in **Firefox**
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Enable via `about:config` -> `gfx.offscreencanvas.enabled`
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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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Feature is automatically disabled in NodeJS without user impact
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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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Feature is automatically disabled in **NodeJS** without user impact
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- Backend NodeJS missing kernel op `RotateWithOffset`
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<https://github.com/tensorflow/tfjs/issues/5473>
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<hr><br>
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<br><hr><br>
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## Pending Release Notes
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## Pending Release Changes
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- Updated **FaceMesh-Landmarks** models
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- Added **FaceMesh-with-Attention** model is disabled by defauls, enable using
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`config.face.mesh.attention = true`
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- If **FaceMesh-with-Attention** model is anbled, Iris model gets disabled
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- If **FaceMesh-with-Attention** model is enabled, Iris model gets disabled
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as its functionality is superseded by attention model
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- Results include more detailed face mesh annotations
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`result.face[].annotations`
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- Update benchmarks: `demo/benchmark`
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- Slight performance improvement with canvas reads using `WASM` backend
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- Default to RTM version of `WASM` binaries
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- Enhanced `WebGPU` compatibility
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- Support for **NodeJS v18**
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- Updated **Known Issues**
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See <https://github.com/vladmandic/human/blob/main/TODO.md>
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@ -17,25 +17,40 @@
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html { font-family: 'Lato', 'Segoe UI'; font-size: 16px; font-variant: small-caps; }
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body { margin: 0; background: black; color: white; overflow-x: hidden; width: 100vw; height: 100vh; }
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body::-webkit-scrollbar { display: none; }
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.status { position: absolute; width: 100vw; bottom: 10%; text-align: center; font-size: 3rem; font-weight: 100; text-shadow: 2px 2px #303030; }
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.log { position: absolute; bottom: 0; margin: 0.4rem 0.4rem 0 0.4rem; font-size: 0.9rem; }
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</style>
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</head>
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<body>
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<div id="status" class="status"></div>
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<img id="image" src="../../samples/in/group-1.jpg" alt="test image" style="display: none">
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<div id="log" class="log"></div>
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<div id="log" style="position: absolute; top: 0; margin: 1rem; font-size: 1rem; line-height: 1.4rem; font-family: monospace;"></div>
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<script type="module">
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import Human from '../../dist/human.esm.js';
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const loop = 20;
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let initial = true;
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const backends = ['wasm', 'webgl', 'humangl', 'webgpu'];
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// eslint-disable-next-line no-console
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const log = (...msg) => console.log(...msg);
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function str(...msg) {
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if (!Array.isArray(msg)) return msg;
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let line = '';
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for (const entry of msg) {
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if (typeof entry === 'object') line += JSON.stringify(entry).replace(/{|}|"|\[|\]/g, '').replace(/,/g, ', ');
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else line += entry;
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}
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return line;
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}
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function log(...msg) {
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const dt = new Date();
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const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;
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// eslint-disable-next-line no-console
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if (msg) console.log(ts, 'Human:', ...msg);
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const el = document.getElementById('log');
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el.innerHTML += str(...msg) + '<br>';
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}
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const myConfig = {
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modelBasePath: 'https://vladmandic.github.io/human/models',
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// wasmPath: 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.18.0/dist/',
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debug: true,
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async: true,
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cacheSensitivity: 0,
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@ -46,7 +61,7 @@
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mesh: { enabled: true },
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iris: { enabled: true },
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description: { enabled: true },
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emotion: { enabled: false },
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emotion: { enabled: true },
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antispoof: { enabled: true },
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liveness: { enabled: true },
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},
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async function benchmark(backend) {
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myConfig.backend = backend;
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const human = new Human(myConfig);
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await human.tf.ready();
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log('Human:', human.version);
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await human.init();
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await human.load();
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const loaded = Object.keys(human.models).filter((a) => human.models[a]);
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log('Loaded:', loaded);
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log('Memory state:', human.tf.engine().memory());
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if (initial) {
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log('Human: ', human.version);
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log('TFJS: ', human.tf.version.tfjs);
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log('Environment: ', { platform: human.env.platform, agent: human.env.agent });
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log('Backends: ', human.env.backends);
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log('Support: ', { offscreen: human.env.offscreen, webgl: human.env.webgl.supported, webgpu: human.env.webgpu.supported, wasm: human.env.wasm.supported, simd: human.env.wasm.simd, multithread: human.env.wasm.multithread });
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log('Models: ', loaded);
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log('');
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initial = false;
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}
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const element = document.getElementById('image');
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const processed = await human.image(element);
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const t0 = human.now();
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await human.detect(processed.tensor, myConfig);
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const t1 = human.now();
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log('Backend:', human.tf.getBackend());
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log('Warmup:', Math.round(t1 - t0));
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for (let i = 0; i < loop; i++) await human.detect(processed.tensor, myConfig);
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const t2 = human.now();
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log('Average:', Math.round((t2 - t1) / loop));
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if (human.tf.getBackend().toLowerCase() === backend.toLowerCase()) {
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log('Backend: ', human.tf.getBackend());
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log('Memory state: ', human.tf.engine().memory());
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log('Initial inference: ', Math.round(t1 - t0));
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for (let i = 0; i < loop; i++) {
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const image = await human.image(element);
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human.tf.dispose(image.tensor);
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}
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const t2 = human.now();
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log('Input processing: ', Math.round(10 * (t2 - t1) / loop) / 10);
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for (let i = 0; i < loop; i++) await human.detect(processed.tensor, myConfig);
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const t3 = human.now();
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log('Average inference: ', Math.round((t3 - t1) / loop));
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} else {
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log('Backend error: ', { desired: backend, current: human.tf.getBackend().toLowerCase() });
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}
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log('');
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}
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log('Attempting backends: ', backends);
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async function main() {
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for (const backend of backends) await benchmark(backend);
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}
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const myConfig = {
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backend: 'tensorflow',
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modelBasePath: 'https://vladmandic.github.io/human/models',
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wasmPath: 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.9.0/dist/',
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// wasmPath: 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.18.0/dist/',
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debug: true,
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async: true,
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cacheSensitivity: 0,
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@ -4,8 +4,8 @@
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author: <https://github.com/vladmandic>'
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*/
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import{Human as p}from"../../dist/human.esm.js";var w={async:!0,modelBasePath:"../../models",filter:{enabled:!0,equalization:!1},cacheSensitivity:0,face:{enabled:!0,detector:{rotation:!1},mesh:{enabled:!0},attention:{enabled:!1},iris:{enabled:!0},description:{enabled:!0},emotion:{enabled:!0}},body:{enabled:!0},hand:{enabled:!0},object:{enabled:!1},gesture:{enabled:!0}},t=new p(w);t.env.perfadd=!1;t.draw.options.font='small-caps 18px "Lato"';t.draw.options.lineHeight=20;var e={video:document.getElementById("video"),canvas:document.getElementById("canvas"),log:document.getElementById("log"),fps:document.getElementById("status"),perf:document.getElementById("performance")},o={detect:0,draw:0,tensors:0},d={detect:0,draw:0},s=(...a)=>{e.log.innerText+=a.join(" ")+`
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`,console.log(...a)},r=a=>e.fps.innerText=a,b=a=>e.perf.innerText="tensors:"+t.tf.memory().numTensors+" | performance: "+JSON.stringify(a).replace(/"|{|}/g,"").replace(/,/g," | ");async function h(){r("starting webcam...");let a={audio:!1,video:{facingMode:"user",resizeMode:"none",width:{ideal:document.body.clientWidth},height:{ideal:document.body.clientHeight}}},n=await navigator.mediaDevices.getUserMedia(a),m=new Promise(f=>{e.video.onloadeddata=()=>f(!0)});e.video.srcObject=n,e.video.play(),await m,e.canvas.width=e.video.videoWidth,e.canvas.height=e.video.videoHeight;let i=n.getVideoTracks()[0],g=i.getCapabilities?i.getCapabilities():"",u=i.getSettings?i.getSettings():"",v=i.getConstraints?i.getConstraints():"";s("video:",e.video.videoWidth,e.video.videoHeight,i.label,{stream:n,track:i,settings:u,constraints:v,capabilities:g}),e.canvas.onclick=()=>{e.video.paused?e.video.play():e.video.pause()}}async function c(){if(!e.video.paused){await t.detect(e.video);let n=t.tf.memory().numTensors;n-o.tensors!==0&&s("allocated tensors:",n-o.tensors),o.tensors=n}let a=t.now();d.detect=1e3/(a-o.detect),o.detect=a,requestAnimationFrame(c)}async function l(){if(!e.video.paused){let n=await t.next(t.result);await t.draw.canvas(e.video,e.canvas),await t.draw.all(e.canvas,n),b(n.performance)}let a=t.now();d.draw=1e3/(a-o.draw),o.draw=a,r(e.video.paused?"paused":`fps: ${d.detect.toFixed(1).padStart(5," ")} detect | ${d.draw.toFixed(1).padStart(5," ")} draw`),setTimeout(l,30)}async function y(){s("human version:",t.version,"| tfjs version:",t.tf.version["tfjs-core"]),s("platform:",t.env.platform,"| agent:",t.env.agent),r("loading..."),await t.load(),s("backend:",t.tf.getBackend(),"| available:",t.env.backends),s("loaded models:",Object.values(t.models).filter(a=>a!==null).length),r("initializing..."),await t.warmup(),await h(),await c(),await l()}window.onload=y;
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import{Human as p}from"../../dist/human.esm.js";var w={async:!0,modelBasePath:"../../models",filter:{enabled:!0,equalization:!1},face:{enabled:!0,detector:{rotation:!1},mesh:{enabled:!0},attention:{enabled:!1},iris:{enabled:!0},description:{enabled:!0},emotion:{enabled:!0}},body:{enabled:!0},hand:{enabled:!0},object:{enabled:!1},gesture:{enabled:!0}},t=new p(w);t.env.perfadd=!1;t.draw.options.font='small-caps 18px "Lato"';t.draw.options.lineHeight=20;var e={video:document.getElementById("video"),canvas:document.getElementById("canvas"),log:document.getElementById("log"),fps:document.getElementById("status"),perf:document.getElementById("performance")},i={detect:0,draw:0,tensors:0},d={detect:0,draw:0},s=(...a)=>{e.log.innerText+=a.join(" ")+`
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`,console.log(...a)},r=a=>e.fps.innerText=a,b=a=>e.perf.innerText="tensors:"+t.tf.memory().numTensors+" | performance: "+JSON.stringify(a).replace(/"|{|}/g,"").replace(/,/g," | ");async function h(){r("starting webcam...");let a={audio:!1,video:{facingMode:"user",resizeMode:"none",width:{ideal:document.body.clientWidth},height:{ideal:document.body.clientHeight}}},n=await navigator.mediaDevices.getUserMedia(a),m=new Promise(f=>{e.video.onloadeddata=()=>f(!0)});e.video.srcObject=n,e.video.play(),await m,e.canvas.width=e.video.videoWidth,e.canvas.height=e.video.videoHeight;let o=n.getVideoTracks()[0],g=o.getCapabilities?o.getCapabilities():"",u=o.getSettings?o.getSettings():"",v=o.getConstraints?o.getConstraints():"";s("video:",e.video.videoWidth,e.video.videoHeight,o.label,{stream:n,track:o,settings:u,constraints:v,capabilities:g}),e.canvas.onclick=()=>{e.video.paused?e.video.play():e.video.pause()}}async function c(){if(!e.video.paused){await t.detect(e.video);let n=t.tf.memory().numTensors;n-i.tensors!==0&&s("allocated tensors:",n-i.tensors),i.tensors=n}let a=t.now();d.detect=1e3/(a-i.detect),i.detect=a,requestAnimationFrame(c)}async function l(){if(!e.video.paused){let n=await t.next(t.result);await t.draw.canvas(e.video,e.canvas),await t.draw.all(e.canvas,n),b(n.performance)}let a=t.now();d.draw=1e3/(a-i.draw),i.draw=a,r(e.video.paused?"paused":`fps: ${d.detect.toFixed(1).padStart(5," ")} detect | ${d.draw.toFixed(1).padStart(5," ")} draw`),setTimeout(l,30)}async function y(){s("human version:",t.version,"| tfjs version:",t.tf.version["tfjs-core"]),s("platform:",t.env.platform,"| agent:",t.env.agent),r("loading..."),await t.load(),s("backend:",t.tf.getBackend(),"| available:",t.env.backends),s("loaded models:",Object.values(t.models).filter(a=>a!==null).length),r("initializing..."),await t.warmup(),await h(),await c(),await l()}window.onload=y;
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/**
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* Human demo for browsers
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* @default Human Library
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@ -12,11 +12,10 @@ import { Human, Config } from '../../dist/human.esm.js'; // equivalent of @vladm
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const humanConfig: Partial<Config> = { // user configuration for human, used to fine-tune behavior
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// backend: 'webgpu' as const,
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// wasmPath: 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.18.0/dist/',
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// cacheSensitivity: 0,
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async: true,
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modelBasePath: '../../models',
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filter: { enabled: true, equalization: false },
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//
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cacheSensitivity: 0,
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face: { enabled: true, detector: { rotation: false }, mesh: { enabled: true }, attention: { enabled: false }, iris: { enabled: true }, description: { enabled: true }, emotion: { enabled: true } },
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body: { enabled: true },
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hand: { enabled: true },
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10
package.json
10
package.json
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"@tensorflow/tfjs-layers": "^3.18.0",
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"@tensorflow/tfjs-node": "^3.18.0",
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"@tensorflow/tfjs-node-gpu": "^3.18.0",
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"@types/node": "^17.0.36",
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"@types/node": "^17.0.38",
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"@types/offscreencanvas": "^2019.7.0",
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"@typescript-eslint/eslint-plugin": "^5.26.0",
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"@typescript-eslint/parser": "^5.26.0",
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"@typescript-eslint/eslint-plugin": "^5.27.0",
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"@typescript-eslint/parser": "^5.27.0",
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"@vladmandic/build": "^0.7.4",
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"@vladmandic/pilogger": "^0.4.4",
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"@vladmandic/tfjs": "github:vladmandic/tfjs",
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"eslint-plugin-json": "^3.1.0",
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"eslint-plugin-node": "^11.1.0",
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"eslint-plugin-promise": "^6.0.0",
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"node-fetch": "^3.2.4",
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"node-fetch": "^3.2.5",
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"rimraf": "^3.0.2",
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"seedrandom": "^3.0.5",
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"tslib": "^2.4.0",
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"typedoc": "0.22.15",
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"typedoc": "0.22.17",
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"typescript": "4.7.2"
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}
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}
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@ -5,11 +5,11 @@ export async function augment(rawCoords, results: Tensor[]) {
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const t: Record<string, Float32Array> = { // all attention models produce 2d results so it needs to be later augmented with correct z-coords
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// mesh: results[0], // already have it in rawCoords // output_mesh_identity
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// flag: results[1], // already processed in parent // conv_faceflag
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lips: results.filter((r) => r.size === 160)[0].dataSync() as Float32Array, // 80 x 2d = 160 // output_lips
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irisL: results.filter((r) => r.size === 10)[0].dataSync() as Float32Array, // 5 x 2d = 10 // output_right_iris
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eyeL: results.filter((r) => r.size === 142)[0].dataSync() as Float32Array, // 71 x 2d = 142 // output_right_eye
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irisR: results.filter((r) => r.size === 10)[1].dataSync() as Float32Array, // 5 x 2d = 10 // output_left_iris
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eyeR: results.filter((r) => r.size === 142)[1].dataSync() as Float32Array, // 71 x 2d = 142// output_left_eye
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lips: await results.filter((r) => r.size === 160)[0].data() as Float32Array, // 80 x 2d = 160 // output_lips
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irisL: await results.filter((r) => r.size === 10)[0].data() as Float32Array, // 5 x 2d = 10 // output_right_iris
|
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eyeL: await results.filter((r) => r.size === 142)[0].data() as Float32Array, // 71 x 2d = 142 // output_right_eye
|
||||
irisR: await results.filter((r) => r.size === 10)[1].data() as Float32Array, // 5 x 2d = 10 // output_left_iris
|
||||
eyeR: await results.filter((r) => r.size === 142)[1].data() as Float32Array, // 71 x 2d = 142// output_left_eye
|
||||
};
|
||||
|
||||
// augment iris: adds additional 5 keypoints per eye
|
||||
|
|
|
|||
|
|
@ -26,7 +26,7 @@ export class FaceBoxes {
|
|||
const resizeT = tf.image.resizeBilinear(input, [this.inputSize, this.inputSize]);
|
||||
const castT = resizeT.toInt();
|
||||
const [scoresT, boxesT, numT] = await this.model.executeAsync(castT) as Tensor[];
|
||||
const scores = scoresT.dataSync();
|
||||
const scores = await scoresT.data();
|
||||
const squeezeT = tf.squeeze(boxesT);
|
||||
const boxes = squeezeT.arraySync();
|
||||
scoresT.dispose();
|
||||
|
|
|
|||
|
|
@ -88,7 +88,7 @@ export async function predict(input: Tensor, config: Config): Promise<FaceResult
|
|||
const results = model.execute(face.tensor as Tensor) as Array<Tensor>;
|
||||
const confidenceT = results.find((t) => t.shape[t.shape.length - 1] === 1) as Tensor;
|
||||
const meshT = results.find((t) => t.shape[t.shape.length - 1] === 1404) as Tensor;
|
||||
const faceConfidence = confidenceT.dataSync();
|
||||
const faceConfidence = await confidenceT.data();
|
||||
face.faceScore = Math.round(100 * faceConfidence[0]) / 100;
|
||||
const coordsReshaped = tf.reshape(meshT, [-1, 3]);
|
||||
let rawCoords = await coordsReshaped.array();
|
||||
|
|
|
|||
|
|
@ -125,9 +125,13 @@ export class Human {
|
|||
*/
|
||||
constructor(userConfig?: Partial<Config>) {
|
||||
this.env = env;
|
||||
/*
|
||||
defaults.wasmPath = tf.version['tfjs-core'].includes('-') // custom build or official build
|
||||
? 'https://vladmandic.github.io/tfjs/dist/'
|
||||
: `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`;
|
||||
*/
|
||||
const tfVersion = (tf.version?.tfjs || tf.version_core).replace(/-(.*)/, '');
|
||||
defaults.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tfVersion}/dist/`;
|
||||
defaults.modelBasePath = env.browser ? '../models/' : 'file://models/';
|
||||
defaults.backend = env.browser ? 'humangl' : 'tensorflow';
|
||||
this.version = app.version; // expose version property on instance of class
|
||||
|
|
|
|||
|
|
@ -58,6 +58,16 @@ export async function check(instance: Human, force = false) {
|
|||
} else {
|
||||
const adapter = await navigator['gpu'].requestAdapter();
|
||||
if (instance.config.debug) log('enumerated webgpu adapter:', adapter);
|
||||
if (!adapter) {
|
||||
log('override: backend set to webgpu but browser reports no available gpu');
|
||||
instance.config.backend = 'humangl';
|
||||
} else {
|
||||
// @ts-ignore requestAdapterInfo is not in tslib
|
||||
// eslint-disable-next-line no-undef
|
||||
const adapterInfo = 'requestAdapterInfo' in adapter ? await (adapter as GPUAdapter).requestAdapterInfo() : undefined;
|
||||
// if (adapter.features) adapter.features.forEach((feature) => log('webgpu features:', feature));
|
||||
log('webgpu adapter info:', adapterInfo);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -76,6 +86,9 @@ export async function check(instance: Human, force = false) {
|
|||
|
||||
// customize wasm
|
||||
if (instance.config.backend === 'wasm') {
|
||||
try {
|
||||
tf.env().set('CANVAS2D_WILL_READ_FREQUENTLY', true);
|
||||
} catch { /**/ }
|
||||
if (instance.config.debug) log('wasm path:', instance.config.wasmPath);
|
||||
if (typeof tf?.setWasmPaths !== 'undefined') await tf.setWasmPaths(instance.config.wasmPath, instance.config.wasmPlatformFetch);
|
||||
else throw new Error('backend error: attempting to use wasm backend but wasm path is not set');
|
||||
|
|
|
|||
|
|
@ -1,25 +1,24 @@
|
|||
2022-05-29 21:08:33 [36mINFO: [39m Application: {"name":"@vladmandic/human","version":"2.8.0"}
|
||||
2022-05-29 21:08:33 [36mINFO: [39m Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
|
||||
2022-05-29 21:08:33 [36mINFO: [39m Toolchain: {"build":"0.7.3","esbuild":"0.14.42","typescript":"4.7.2","typedoc":"0.22.15","eslint":"8.16.0"}
|
||||
2022-05-29 21:08:33 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
|
||||
2022-05-29 21:08:33 [35mSTATE:[39m Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
|
||||
2022-05-29 21:08:33 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":595}
|
||||
2022-05-29 21:08:33 [35mSTATE:[39m Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":73,"inputBytes":641913,"outputBytes":300409}
|
||||
2022-05-29 21:08:33 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":599}
|
||||
2022-05-29 21:08:33 [35mSTATE:[39m Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":73,"inputBytes":641917,"outputBytes":300413}
|
||||
2022-05-29 21:08:33 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":651}
|
||||
2022-05-29 21:08:33 [35mSTATE:[39m Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":73,"inputBytes":641969,"outputBytes":300463}
|
||||
2022-05-29 21:08:33 [35mSTATE:[39m Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358}
|
||||
2022-05-29 21:08:33 [35mSTATE:[39m Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1032,"outputBytes":583}
|
||||
2022-05-29 21:08:33 [35mSTATE:[39m Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":73,"inputBytes":641901,"outputBytes":299319}
|
||||
2022-05-29 21:08:34 [35mSTATE:[39m Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1354096}
|
||||
2022-05-29 21:08:34 [35mSTATE:[39m Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":73,"inputBytes":1995414,"outputBytes":1652490}
|
||||
2022-05-29 21:08:34 [35mSTATE:[39m Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":73,"inputBytes":1995414,"outputBytes":2138654}
|
||||
2022-05-29 21:08:40 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types/lib","files":116}
|
||||
2022-05-29 21:08:40 [33mWARN: [39m You are running with an unsupported TypeScript version! This may work, or it might break. TypeDoc supports 4.0, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6
|
||||
2022-05-29 21:08:42 [35mSTATE:[39m TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":73,"generated":true}
|
||||
2022-05-29 21:08:42 [35mSTATE:[39m Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6056,"outputBytes":3008}
|
||||
2022-05-29 21:08:42 [35mSTATE:[39m Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15174,"outputBytes":7820}
|
||||
2022-05-29 21:08:50 [35mSTATE:[39m Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":105,"errors":0,"warnings":0}
|
||||
2022-05-29 21:08:50 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
|
||||
2022-05-29 21:08:50 [36mINFO: [39m Done...
|
||||
2022-06-02 10:37:20 [36mINFO: [39m Application: {"name":"@vladmandic/human","version":"2.8.0"}
|
||||
2022-06-02 10:37:20 [36mINFO: [39m Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
|
||||
2022-06-02 10:37:20 [36mINFO: [39m Toolchain: {"build":"0.7.3","esbuild":"0.14.42","typescript":"4.7.2","typedoc":"0.22.17","eslint":"8.16.0"}
|
||||
2022-06-02 10:37:20 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":595}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":73,"inputBytes":642827,"outputBytes":300685}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":599}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":73,"inputBytes":642831,"outputBytes":300689}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":651}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":73,"inputBytes":642883,"outputBytes":300739}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1032,"outputBytes":583}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":73,"inputBytes":642815,"outputBytes":299595}
|
||||
2022-06-02 10:37:20 [35mSTATE:[39m Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1353524}
|
||||
2022-06-02 10:37:21 [35mSTATE:[39m Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":73,"inputBytes":1995756,"outputBytes":1652193}
|
||||
2022-06-02 10:37:21 [35mSTATE:[39m Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":73,"inputBytes":1995756,"outputBytes":2139052}
|
||||
2022-06-02 10:37:25 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types/lib","files":116}
|
||||
2022-06-02 10:37:27 [35mSTATE:[39m TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":73,"generated":true}
|
||||
2022-06-02 10:37:27 [35mSTATE:[39m Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6054,"outputBytes":2989}
|
||||
2022-06-02 10:37:27 [35mSTATE:[39m Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15174,"outputBytes":7820}
|
||||
2022-06-02 10:37:35 [35mSTATE:[39m Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":106,"errors":0,"warnings":0}
|
||||
2022-06-02 10:37:35 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
|
||||
2022-06-02 10:37:35 [36mINFO: [39m Done...
|
||||
|
|
|
|||
|
|
@ -12,10 +12,9 @@ Human.env.Image = Image; // requires monkey-patch as wasm does not have tf.brows
|
|||
const config = {
|
||||
cacheSensitivity: 0,
|
||||
modelBasePath: 'https://vladmandic.github.io/human/models/',
|
||||
// modelBasePath: 'http://localhost:10030/models/',
|
||||
backend: 'wasm',
|
||||
wasmPath: 'node_modules/@tensorflow/tfjs-backend-wasm/dist/',
|
||||
// wasmPath: 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.9.0/dist/',
|
||||
// wasmPath: 'node_modules/@tensorflow/tfjs-backend-wasm/dist/',
|
||||
wasmPath: `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`,
|
||||
debug: false,
|
||||
async: false,
|
||||
face: {
|
||||
|
|
|
|||
1368
test/test.log
1368
test/test.log
File diff suppressed because it is too large
Load Diff
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
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
File diff suppressed because one or more lines are too long
|
|
@ -1,6 +1,6 @@
|
|||
<!DOCTYPE html><html class="default"><head><meta charSet="utf-8"/><meta http-equiv="x-ua-compatible" content="IE=edge"/><title>match | @vladmandic/human - v2.8.0</title><meta name="description" content="Documentation for @vladmandic/human - v2.8.0"/><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 - v2.8.0</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 - v2.8.0</a></li><li><a href="match.html">match</a></li></ul><h1>Namespace match </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>Class Human as default export</p>
|
||||
</div></div></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>Type aliases</h3><ul class="tsd-index-list"><li class="tsd-kind-type-alias tsd-parent-kind-namespace"><a href="match.html#Descriptor" class="tsd-kind-icon">Descriptor</a></li><li class="tsd-kind-type-alias tsd-parent-kind-namespace"><a href="match.html#MatchOptions" class="tsd-kind-icon">Match<wbr/>Options</a></li></ul></section><section class="tsd-index-section "><h3>Functions</h3><ul class="tsd-index-list"><li class="tsd-kind-function tsd-parent-kind-namespace"><a href="match.html#distance" class="tsd-kind-icon">distance</a></li><li class="tsd-kind-function tsd-parent-kind-namespace"><a href="match.html#match-1" class="tsd-kind-icon">match</a></li><li class="tsd-kind-function tsd-parent-kind-namespace"><a href="match.html#similarity" class="tsd-kind-icon">similarity</a></li></ul></section></div></section></section><section class="tsd-panel-group tsd-member-group "><h2>Type aliases</h2><section class="tsd-panel tsd-member tsd-kind-type-alias tsd-parent-kind-namespace"><a id="Descriptor" class="tsd-anchor"></a><h3 class="tsd-anchor-link">Descriptor<a href="#Descriptor" aria-label="Permalink" class="tsd-anchor-icon"><svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5"></path></svg></a></h3><div class="tsd-signature tsd-kind-icon">Descriptor<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><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/face/match.ts#L2">src/face/match.ts:2</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
</div></div></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>Type Aliases</h3><ul class="tsd-index-list"><li class="tsd-kind-type-alias tsd-parent-kind-namespace"><a href="match.html#Descriptor" class="tsd-kind-icon">Descriptor</a></li><li class="tsd-kind-type-alias tsd-parent-kind-namespace"><a href="match.html#MatchOptions" class="tsd-kind-icon">Match<wbr/>Options</a></li></ul></section><section class="tsd-index-section "><h3>Functions</h3><ul class="tsd-index-list"><li class="tsd-kind-function tsd-parent-kind-namespace"><a href="match.html#distance" class="tsd-kind-icon">distance</a></li><li class="tsd-kind-function tsd-parent-kind-namespace"><a href="match.html#match-1" class="tsd-kind-icon">match</a></li><li class="tsd-kind-function tsd-parent-kind-namespace"><a href="match.html#similarity" class="tsd-kind-icon">similarity</a></li></ul></section></div></section></section><section class="tsd-panel-group tsd-member-group "><h2>Type Aliases</h2><section class="tsd-panel tsd-member tsd-kind-type-alias tsd-parent-kind-namespace"><a id="Descriptor" class="tsd-anchor"></a><h3 class="tsd-anchor-link">Descriptor<a href="#Descriptor" aria-label="Permalink" class="tsd-anchor-icon"><svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5"></path></svg></a></h3><div class="tsd-signature tsd-kind-icon">Descriptor<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><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/face/match.ts#L2">src/face/match.ts:2</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
|
||||
<p>Face descriptor type as number array</p>
|
||||
</div></div></section><section class="tsd-panel tsd-member tsd-kind-type-alias tsd-parent-kind-namespace"><a id="MatchOptions" class="tsd-anchor"></a><h3 class="tsd-anchor-link">Match<wbr/>Options<a href="#MatchOptions" aria-label="Permalink" class="tsd-anchor-icon"><svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5"></path></svg></a></h3><div class="tsd-signature tsd-kind-icon">Match<wbr/>Options<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>max<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>min<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>multiplier<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>order<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>threshold<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">undefined</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/face/match.ts#L3">src/face/match.ts:3</a></li></ul></aside></section></section><section class="tsd-panel-group tsd-member-group "><h2>Functions</h2><section class="tsd-panel tsd-member tsd-kind-function tsd-parent-kind-namespace"><a id="distance" class="tsd-anchor"></a><h3 class="tsd-anchor-link">distance<a href="#distance" aria-label="Permalink" class="tsd-anchor-icon"><svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5"></path></svg></a></h3><ul class="tsd-signatures tsd-kind-function tsd-parent-kind-namespace"><li class="tsd-signature tsd-kind-icon">distance<span class="tsd-signature-symbol">(</span>descriptor1<span class="tsd-signature-symbol">: </span><a href="match.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptor2<span class="tsd-signature-symbol">: </span><a href="match.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, options<span class="tsd-signature-symbol">?: </span><a href="match.html#MatchOptions" class="tsd-signature-type" data-tsd-kind="Type alias">MatchOptions</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/face/match.ts#L12">src/face/match.ts:12</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
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<p>Calculates distance between two descriptors</p>
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Reference in New Issue