compatible with python3

README.md

@@ -35,7 +35,7 @@ Our inspiration comes from several research papers on this topic, as well as cur
 **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**
 
 
-## TODO(which you need to develop)
+## TODO(contribute to DFace)
 - 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)
 - Face Anti-Spoofing, distinguish from face light and texture。Recomend with the LBP algorithm and SVM.
 - 3D mask  Anti-Spoofing.