Face Recognition from video (라이브러리를 이용한 비디오로부터 얼굴인식)

dlib, facenet-pytorch, mtcnn을 이용하면 비디오로부터 추출된 이미지에서 얼굴인식을 할수 있다. 비디오로부터 추출은 opencv를 이용할수있다. 결과만 놓고 보면, facenet-pytorch가 가장 빠르고 정확한 라이브러리다. 벤치에 측정한 버전은 2.0.1버전이며 https://pypi.org/project/facenet-pytorch/ 여기서 해당정보를 보는게 가능하다

Using one of dlib, facenet-pytorch and mtcnn, faces can be recognized by python libraries. Of course opencv should convert video into image. Jumping up to the conclusion, facenet-pytoch seems the best option. It is the fastest without hurting accuracy. The version for benchmark was 2.0.1, and the link is https://pypi.org/project/facenet-pytorch/

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