# 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 notes:
New:
- new demo `demos/faceid` that utilizes multiple algorithm to validate input before triggering face recognition
- new optional model `liveness`
checks if input appears to be a real-world live image or a recording
best used together with `antispoofing` that checks if input appears to have a realistic face
- new 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
- new 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:
- Improved **Safari** compatibility
- Improved `similarity` and `match` score range normalization
- Improved error handling
- Improved VSCode out-of-the-box experience
- Documentation overhaul
- Fix for optional `gear`, `ssrnet`, `mobilefacenet` modules
- Fix for Firefox WebGPU compatibility issue