Shypd.aiThe largest open index of AI toolsHRNet-Facial-Landmark-Detection is an open-source AI tool for facial landmark detection. It implements High-Resolution Networks (HRNet) for accurate visual recognition.
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HRNet-Facial-Landmark-Detection is an official open-source implementation of facial landmark detection based on the TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition." This project extends the High-Resolution Representation (HRNet) by aggregating upsampled representations from parallel convolutions, leading to stronger representations for facial landmark detection. It has been evaluated on multiple datasets including COFW, AFLW, WFLW, and 300W, demonstrating high accuracy. The tool provides pretrained models and detailed instructions for environment setup, data preparation, training, and testing, making it suitable for researchers and developers in computer vision. It is developed using Python 3.6 and PyTorch 1.0.0.
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