![]() # or clone this repo, removing the '-' to allow python imports:ĭocker run -it -rm timesler/jupyter-dl-gpu pip install facenet-pytorch & ipython Conversion of parameters from Tensorflow to Pytorch.Performance comparison of face detection packages.Finetuning pretrained models with new data. ![]() ![]() Complete detection and recognition pipeline.To our knowledge, this is the fastest MTCNN implementation available. Pytorch model weights were initialized using parameters ported from David Sandberg's tensorflow facenet repo.Īlso included in this repo is an efficient pytorch implementation of MTCNN for face detection prior to inference. This is a repository for Inception Resnet (V1) models in pytorch, pretrained on VGGFace2 and CASIA-Webface. ![]()
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