mirror of https://github.com/vladmandic/human
update tfjs to 3.10.0
Vladimir Mandic
parent
1680032088
commit
fcd82fb07d
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@ -9,11 +9,12 @@
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## Changelog
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### **HEAD -> main** 2021/10/21 mandic00@live.com
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### **2.3.6** 2021/10/21 mandic00@live.com
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### **origin/main** 2021/10/21 mandic00@live.com
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- fix for human.draw labels and typedefs
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- refactor human.env to a class type
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- add human.custom.esm using custom tfjs build
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40
TODO.md
40
TODO.md
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@ -4,33 +4,19 @@
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<br>
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### Models
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- Body segmentation: `robust-video-matting`
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<br>
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### Backends
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#### WASM
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- Backend WASM incorrect handling of `int32` tensors
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<https://github.com/tensorflow/tfjs/issues/5641>
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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>
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### Exploring
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- Optical Flow: <https://docs.opencv.org/3.3.1/db/d7f/tutorial_js_lucas_kanade.html>
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- TFLite Models: <https://js.tensorflow.org/api_tflite/0.0.1-alpha.4/>
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- Histogram Equalization: Regular, Adaptive, Contrast Limited
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- Switch to custom `tfjs` for main `human` ESM bundle
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- Body segmentation: `robust-video-matting`
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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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@ -43,14 +29,6 @@ Experimental support only until support is officially added in Chromium
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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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### Hand Detection
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Enhanced rotation correction for hand 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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@ -74,7 +52,11 @@ Object detection using CenterNet or NanoDet models is not working when using WAS
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## Pending Release
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- Update to TFJS 3.10.0
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- Multiple bug fixes
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- Utility class `human.env`
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- Enhanced **MoveNet** post-processing
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- Add optional **Anti-Spoof** module
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- Remove old **HandDetect** and **PoseNet** models from default installation
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- Refactor **ImageFX** module
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- Experimental `human.custom.esm` with custom **TFJS** build
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@ -1016,6 +1016,7 @@ async function main() {
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// create instance of human
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human = new Human(userConfig);
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log('human version:', human.version);
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// we've merged human defaults with user config and now lets store it back so it can be accessed by methods such as menu
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userConfig = human.config;
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24
package.json
24
package.json
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@ -1,6 +1,6 @@
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{
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"name": "@vladmandic/human",
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"version": "2.3.6",
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"version": "2.4.0",
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"description": "Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition",
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"sideEffects": false,
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"main": "dist/human.node.js",
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@ -55,18 +55,18 @@
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"tensorflow"
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],
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"devDependencies": {
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"@tensorflow/tfjs": "^3.9.0",
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"@tensorflow/tfjs-backend-cpu": "^3.9.0",
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"@tensorflow/tfjs-backend-wasm": "^3.9.0",
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"@tensorflow/tfjs-backend-webgl": "^3.9.0",
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"@tensorflow/tfjs": "^3.10.0",
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"@tensorflow/tfjs-backend-cpu": "^3.10.0",
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"@tensorflow/tfjs-backend-wasm": "^3.10.0",
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"@tensorflow/tfjs-backend-webgl": "^3.10.0",
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"@tensorflow/tfjs-backend-webgpu": "^0.0.1-alpha.8",
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"@tensorflow/tfjs-converter": "^3.9.0",
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"@tensorflow/tfjs-core": "^3.9.0",
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"@tensorflow/tfjs-data": "^3.9.0",
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"@tensorflow/tfjs-layers": "^3.9.0",
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"@tensorflow/tfjs-node": "^3.9.0",
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"@tensorflow/tfjs-node-gpu": "^3.9.0",
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"@types/node": "^16.11.2",
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"@tensorflow/tfjs-converter": "^3.10.0",
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"@tensorflow/tfjs-core": "^3.10.0",
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"@tensorflow/tfjs-data": "^3.10.0",
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"@tensorflow/tfjs-layers": "^3.10.0",
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"@tensorflow/tfjs-node": "^3.10.0",
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"@tensorflow/tfjs-node-gpu": "^3.10.0",
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"@types/node": "^16.11.3",
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"@typescript-eslint/eslint-plugin": "^5.1.0",
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"@typescript-eslint/parser": "^5.1.0",
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"@vladmandic/build": "^0.6.2",
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@ -90,7 +90,6 @@
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let res;
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let human = new Human(config);
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await human.init();
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human.env.offscreen = false;
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human.events.addEventListener('warmup', () => events('warmup'));
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human.events.addEventListener('image', () => events('image'));
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human.events.addEventListener('detect', () => events('detect'));
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