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compatible with python3
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README.md

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@@ -35,7 +35,7 @@ Our inspiration comes from several research papers on this topic, as well as cur
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**If you want to contribute to DFace, please review the CONTRIBUTING.md in the project.We use [Slack](https://dfaceio.slack.com/) for tracking requests and bugs. Also you can following the QQ group 681403076 or my wechat jinkuaikuai005**
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## TODO(which you need to develop)
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## TODO(contribute to DFace)
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- Based on cener loss or triplet loss implement the face conpare. Recommended Model is ResNet inception v2. Refer this [Paper](https://arxiv.org/abs/1503.03832) and [FaceNet](https://github.com/davidsandberg/facenet)
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- Face Anti-Spoofing, distinguish from face light and texture。Recomend with the LBP algorithm and SVM.
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- 3D mask Anti-Spoofing.

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