# To-Do list for Human library ## Work in Progress
### Exploring - Optical Flow: - Histogram Equalization: Regular, Adaptive, Contrast Limited, CLAHE - TFLite Models: - Body segmentation: `robust-video-matting` - TFJS incompatibility with latest `long.js` 5.0.0 due to CJS to ESM switch


## Known Issues #### WebGPU Experimental support only until support is officially added in Chromium - Performance issues: ### Face Detection Enhanced rotation correction for face detection is not working in NodeJS due to missing kernel op in TFJS Feature is automatically disabled in NodeJS without user impact - Backend NodeJS missing kernel op `RotateWithOffset` ### Body Detection MoveNet MultiPose model does not work with WASM backend due to missing F32 broadcast implementation - Backend WASM missing F32 broadcat implementation


### Pending release New: - New frame change detection algorithm used for cache determination based on temporal input difference - New optional input histogram equalization auto-level input for optimal brightness/contrast via `config.filter.equalization` Changed: - Supports all modules on all backends via custom implementation of missing kernel ops - Performance and precision improvements **face**, **hand** and **gestures** modules - Use custom built TFJS for bundled version reduced bundle size and built-in support for all backends `nobundle` and `node` versions link to standard `@tensorflow` packages - Fix **ReactJS** compatibility - Better precision using **WASM** Previous issues due to math low-precision in WASM implementation - Full **TS** type definitions for all modules and imports - Focus on simplified demo