FeatureLearningRotNet
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In dataloader.py when preparing rotated images rotated_imgs = [ self.transform(img0), self.transform(rotate_img(img0, 90)), self.transform(rotate_img(img0, 180)), self.transform(rotate_img(img0, 270)) ] the following error arises. ValueError: some of the strides of a given numpy...
Dear Spyros Gidaris, Praveer Singh and Nikos Komodakis, i have read your paper "Unsupervised Representation Learning by Predicting Image Rotations" and was impressed by your work and the astonishing results...
I am wondering what parameters did you use when you rescaled the model?There are many parameters in magic_init.py, such as -t -nit -d. Could you please give more details?Thanks.