SRGAN
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issues about loss function and scipy version.
1 .Is it better to use LSE Loss instead of sigmoid? According to the paper https://arxiv.org/abs/1611.04076, I changed "g_loss" to "tf. reduce_mean (tf.nn.l2_loss (fake_output - tf. ones_like (fake_output)))". 2. "imresize" and "imread" has been removed from scipy.misc since scipy-1.3.0,but the API in the source code was not updated, which caused some problems, are there any plans to update the API of scipy?
Using an earlier scipy version fixes this; don't think it needs to be updated pip3 install scipy==1.1.0