mirror of https://github.com/vladmandic/human
58 lines
1.8 KiB
Markdown
58 lines
1.8 KiB
Markdown
# To-Do list for Human library
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## Work in Progress
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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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- Histogram Equalization: Regular, 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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- TFJS incompatibility with latest `long.js` 5.0.0 due to CJS to ESM switch
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<br><hr><br>
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## Known Issues
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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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### 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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- Backend NodeJS missing kernel op `RotateWithOffset`
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<https://github.com/tensorflow/tfjs/issues/5473>
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### Body Detection
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MoveNet MultiPose model does not work with WASM backend due to missing F32 broadcast implementation
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- Backend WASM missing F32 broadcat implementation
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<https://github.com/tensorflow/tfjs/issues/5516>
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<br><hr><br>
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### Pending release
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- Supports all modules on all backends
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via custom implementation of missing kernel ops
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- Performance and precision improvements
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**face** and **hand** modules
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- Use custom built TFJS for bundled version
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reduced bundle size and built-in support for all backends
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`nobundle` and `node` versions link to standard `@tensorflow` packages
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- Add optional input histogram equalization
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auto-level input for optimal brightness/contrast via `config.filter.equalization`
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- Fix **ReactJS** compatibility
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- Better precision using **WASM**
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Previous issues due to math low-precision in WASM implementation
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- Full **TS** type definitions for all modules and imports
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- Focus on simplified demo
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