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Inference Code for RetinaFace with MobileNet Backend in PyTorch

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Inference Code for RetinaFace with MobileNet Backend in PyTorch

Step 1:

cd cython
python setup.py build_ext --inplace

Step 2:

python inference.py

Evaluation(WIDERFACE):

Easy Val AP: 0.8872715908531869
Medium Val AP: 0.8663337842229522
Hard Val AP: 0.771796729363941

Test Results:

References:

@inproceedings{deng2019retinaface, title={RetinaFace: Single-stage Dense Face Localisation in the Wild}, author={Deng, Jiankang and Guo, Jia and Yuxiang, Zhou and Jinke Yu and Irene Kotsia and Zafeiriou, Stefanos}, booktitle={arxiv}, year={2019} }

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  • Python 90.1%
  • Cuda 9.6%
  • C++ 0.3%