Global contrast normalization in Pytorch

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Hi all, how can I implement global contrast normalization in the form of ‘transforms.Compose’? any help would be appreciated.

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You probably want just the standard ImageNet style RMS normalization? I.e. transforms.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225)) or similar…

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I want to apply the global contrast normalization to the CIFAR-10 dataset. This type of normalization was investigated by “Goodfellow, Ian J, Warde-Farley, David, Mirza, Mehdi, Courville, Aaron, and Bengio, Yoshua. Maxout networks. arXiv preprint arXiv:1302.4389, 2013.”