|about 1 month ago||12 days ago|
|MIT License||MIT License|
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Query regarding Multiple face recognization system
2 projects | reddit.com/r/MLQuestions | 25 Nov 2021
It's generally better to split the task into a multiple tasks. First I'd want to detect and extract faces. There are a number of pretrained models that you could use for that, e.g. https://github.com/timesler/facenet-pytorch, https://github.com/opencv/opencv/tree/master/data/haarcascades. Once you've extracted faces, you can train a facial recognition using something like a siamese network as you normally would.
What are some alternatives?
anime-face-detector - Anime Face Detector using mmdet and mmpose
transfer-learning-conv-ai - 🦄 State-of-the-Art Conversational AI with Transfer Learning
dfdc_deepfake_challenge - A prize winning solution for DFDC challenge
deepfake-scanner - Deepfake Scanner by Deepware.
CompreFace - Leading free and open-source face recognition system
pytorch2keras - PyTorch to Keras model convertor