Release 2.7:
- Add MediaPipe FaceMesh-with-Attention model
model is available in@vladmandic/human-modelsrepository
to enable, setconfig.face.attention = true
model replaces iris, eyes and lips keypoints with high-detailed ones - Add model pre-compile phase to
warmupmethod result is speed-up to first inference by around ~30% for browser environments - Changed default face crop from 120% to 140%
to better utilize caching between frames - Refactor draw methods into separate modules and fix coloring function
- Add highlights to attention keypoints
enabled when both points and attention draw are enabled:
human.draw.options.drawAttention = trueandhuman.draw.options.drawPoints = true - Add ElectronJS demo:
see https://github.com/vladmandic/human-electron - Enhanced 3D demos:
see https://github.com/vladmandic/human-motion - Update build platform and dependencies
- Update TFJS
- Optical flow: https://docs.opencv.org/3.3.1/db/d7f/tutorial_js_lucas_kanade.html
- Advanced histogram equalization: Adaptive, Contrast Limited, CLAHE
- TFLite models: https://js.tensorflow.org/api_tflite/0.0.1-alpha.4/
- Body segmentation:
robust-video-matting
Experimental support only until support is officially added in Chromium
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
tensorflow/tfjs#5473