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YunYang1994 authored Jul 30, 2020
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Expand Up @@ -35,8 +35,8 @@ $ python register_face.py -person Jay

|Method | LFW(%) | CFP-FP(%) | AgeDB-30(%) | MegaFace(%)| cpu-time | weights |
|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
| MobileFaceNet | 99.50 | 88.94 | 95.91 | --- | 35ms | [password: xgmo](https://pan.baidu.com/s/1QIYpHYazaPMTI0E15WRGug)
| IResNet | 99.77 | 98.27 | 98.28 | 98.47 | 435ms | [link](https://github.com/YunYang1994/face_recognition/blob/master/weights/mobilefacenet.npy)
| MobileFaceNet | 99.50 | 88.94 | 95.91 | --- | 35ms | [提取码: xgmo](https://pan.baidu.com/s/1QIYpHYazaPMTI0E15WRGug)
| IResNet | 99.77 | 98.27 | 98.28 | 98.47 | 435ms | [下载链接](https://github.com/YunYang1994/face_recognition/blob/master/weights/mobilefacenet.npy)


识别模型用的是 `MobileFaceNet` 网络,这里直接使用了 [insightface](https://github.com/deepinsight/insightface) 在 ms1m-refine-v1 三百万多万张人脸数据集上训练的模型。这部分工作在 `mxnet` 分支上,你可以通过 `git checkout mxnet` 进行切换。
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