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Github GitHub - deepcam-cn/yolov5-face

 3 years ago
source link: https://github.com/deepcam-cn/yolov5-face
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yolov5-face

在yolov5的基础上增加landmark预测分支,loss使用wingloss,使用yolov5s取得了相对于retinaface-r50更好的性能。

WiderFace测试

  • 在wider face val精度(单尺度最大边输入分辨率:1024
Backbone Easy Medium Hard yolov5s 95.4% 94.6% 88.2% Yolov5m 95.8% 95.1% 90.5% RetinaFace-R50(original image scale) 95.5% 94.0% 84.4%

模型测试下载地址

模型测试效果

References

https://github.com/ultralytics/yolov5

https://github.com/DayBreak-u/yolo-face-with-landmark

https://github.com/xialuxi/yolov5_face_landmark

https://github.com/biubug6/Pytorch_Retinaface

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