I want to get 2048 features from a picture by using pretrained resnet-50,is it ok by these code?
resnet50_feature_extractor = models.resnet50(pretrained = True)
resnet50_feature_extractor.fc = nn.Linear(2048, 2048)
Thanks for your help!
I think it is mostly correct, but I think you need to zero the bias of the fc layer.
Another line of code using
I usually use
resnet50_feature_extractor = nn.Sequential(*list(models.resnet50(pretrained = True).children())[:-1])
but in this way you need to reshape the output by squeezing the spatial dimensions.