retinaface-pytorch:PyTorch中带有MobileNet后端的RetinaFace推理代码

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PyTorch中带有MobileNet后端的RetinaFace推理代码 步骤1: cd cython python setup.py build_ext --inplace 第2步: python inference.py 评估(宽屏): Easy Val AP:0.8872715908531869 中值AP:0.8663337842229522 硬值AP:0.771796729363941 试验结果: 参考: @inproceedings {deng2019retinaface,标题= {RetinaFace:野外单阶段密集脸定位},作者= {Deng,Jiankang和Guo,Jia和Yuxiang,Zhou和Jinke Yu和Irene Kotsia和Zafeiriou,Stefanos},书名= { arxiv},年份= {2019}}

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