# To-Do list for Human library ## Work in Progress
### Exploring - Optical flow: - Advanced histogram equalization: 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 Notes New: - Demo `demos/faceid` that utilizes multiple algorithm to validate input before triggering face recognition - Type definitions rollup for `Human` and `TFJS` - Optional module `liveness` checks if input appears to be a real-world live image or a recording best used together with module `antispoofing` that checks if input appears to have a realistic face - Face masking option in `face.config.detector.mask` result is shading of face image outside of face area which is useful for increased sensitivity of other modules that rely on detected face as input - Face crop option in `face.config.detector.cropFactor` result is user-definable fine-tuning for other modules that rely on detected face as input Other: - Documentation overhaul - Improved **Safari** compatibility - Improved `similarity` and `match` score range normalization - Improved error handling - Improved VSCode out-of-the-box experience - Fix for optional `gear`, `ssrnet`, `mobilefacenet` modules - Fix for Firefox WebGPU compatibility issue