PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
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Updated
May 24, 2020 - Python
PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.
Real-time selfie filters using facial keypoints regression and opencv
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression.
Facial Keypoints Detection using tensorflow
Project for Pattern Recognition
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