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TreB1eN authored Aug 5, 2018
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Expand Up @@ -47,6 +47,8 @@ download the refined dataset from original post: (emore recommended)
* [VGGFace2@BaiduDrive](https://pan.baidu.com/s/1c3KeLzy), [VGGFace2@GoogleDrive](https://drive.google.com/open?id=1KORwx_DWyIScAjD6vbo4CSRu048APoum)
* [emore dataset @ BaiduDrive](https://pan.baidu.com/s/1c3KeLzy), [emore dataset @ OneDrive](https://pan.baidu.com/s/1c3KeLzy)
**Note:** If you use the refined [MS1M](https://arxiv.org/abs/1607.08221) dataset and the cropped [VGG2](https://arxiv.org/abs/1710.08092) dataset, please cite the original papers.
* after unzip the files to 'data' path, run :
```
python prepare_data.py
Expand Down Expand Up @@ -109,3 +111,9 @@ the video file should be inside the data/face_bank folder
```
python train.py -b [batch_size] -lr [learning rate] -e [epochs]
```
## References
* This repo is mainly inspired by [deepinsight/insightface] and [InsightFace_TF]
#### PS
* PRs are welcome, in case that I don't have the resource to train some large models like the 100 and 151 layers model
* Email : treb1en@qq.com

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