Open KrystalCWT opened 4 years ago
In your code: for i in range(2): if(i==1): img = fliplr(img) input_img = Variable(img.cuda()) outputs = model(input_img) f = outputs.data.cpu() ff = ff+f
Why two features are extarcted for one image?
This is a basic setting in the current state-of-the-art methods. An image and its flipped image are used for feature extraction.
In your code: for i in range(2): if(i==1): img = fliplr(img) input_img = Variable(img.cuda()) outputs = model(input_img) f = outputs.data.cpu() ff = ff+f
Why two features are extarcted for one image?