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Use tensorflow Lite on iOS platform, integrated face detection (MTCNN), face anti spoofing (CVPR2019-DeepTreeLearningForZeroShotFaceAntispoofing) and face comparison (MobileFaceNet use InsightFace loss)

License: MIT License

Objective-C 48.50% Objective-C++ 49.64% C++ 1.63% Ruby 0.23%

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ios-mobilefacenet-mtcnn-faceantispoofing's Issues

Swift support?

@syaringan357 Do you have this project in swift? Or supported for XCode 11.2.1? If you can provide MTCNN, Box, Tools, ios_image_load files in swift that would be great.

english version

hi, thanks you for great lib, do u provide english version?

camera support plan?

In your android example, you develop camera version. but iOS version, only have two images.
do u have any plan to develop or update camera to this iOS app ? please....
this is best example.

静态图片识别有两个问题

1:mtncc对有旋转角度的图片人脸检测效果很差,有时会把一张脸识别出几个Box,有时候又完全识别不出来
2:mtncc检测后没有做人脸对齐,直接裁切后使用facenet做距离对比效果很差
对于第一点,iOS自带的Vision框架不管是性能还是检测结果都甩mtncc10条街,但是扫描后裁剪后转换成openCv图片对象后如何做对齐还不是很清楚,希望能探讨一下

Weird problem with camera on portrait mode

On the iOS, in portrait mode it seems it has more problems correctly identifying a real face or an image. I would find the face, crop the face, and it say 0.99 for a real face. in landscape mode. it works much better

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