Maclory / Deep-Iterative-Collaboration

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

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How to define the training/testing set

jingang2020 opened this issue · comments

Thanks for your excellent work. If I want to train the model on Helen from scratch. Should I take all of the 5 parts from All images on Helen website as the training set? Or whether the testing set is selected from these images, so that this part needs to be excluded in advance? How can I get the list of training images.

Hi there, to compare with FSRNet, we adopt the same train/test split as them. The test list can be found here: https://github.com/tyshiwo/FSRNet/blob/master/data/fileList_helen_lr.txt