guoqiangqi/PFLD
Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf
Built with TensorFlow, this implementation trains on the WFLW dataset (10,000 faces with 98 manually-annotated landmarks) to detect facial keypoints across unconstrained poses and lighting conditions. The architecture includes auxiliary supervision for head pose (Euler angles) prediction, with optimizations to precompute pose ground-truth during preprocessing rather than on-CPU during training.
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