vgg-face.pytorch
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VGG-Face Descriptor port to pytorch
Error found after running File "vgg_face.py", line 104, in im = torch.Tensor(im).permute(2, 0, 1).view(1, 3, 224, 224).double() TypeError: new(): data must be a sequence (got NoneType)
This pytorch version is to load the weight file directly, is there any training code?
Generally, when recognizing a human face, a picture is compared with a picture in the base library. Is the LFW data set you use here? Why is a picture directly...
Hi, I tried following the instructions in the README but unfortunately, I am continuously encountering the following error when trying to load the model (I am on Windows): ``` Traceback...
Hello, I noticed the input image is not normoalized to range [-1, 1], has the model trained with data that is not in this range?. And is double precision required?