Understranding resize and centercrop transforms

vision
1

I am trying to understand this particular set of compose transforms:

transform_color= transforms.Compose([transforms.Resize((224,224) interpolation=torchvision.transforms.InterpolationMode.BICUBIC),\
transforms.CenterCrop(224),transforms.ToTensor(),\
transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])])

Does it make sense (and is it legit) to do centercrop after transforms - with the same size parameter? I would have thought resize itself is giving the centercrop but I see in the repos that centercrop is composed after resize - both with exactly the same sizes. I wonder what is the use of doing such a thing. For the sake of completeness, I would like to add that my input image sizes vary (ie they are all not of the same dims).

thanks!

2

ok - I checked it myself and it does nothing. (same size centercrop after resizing to same size)