For some reason, when I open the web document, real_a and fake_b are matching, but the real_b is from another image; however in the images folder the images are correct. Does someone know why does this happen?

I want see the values while training, tf.log(predict_real + EPS) and tf.log(1 - predict_fake + EPS).
so, i'm add the code(#add code) in the main.

           if should(a.progress_freq):
                fetches["discrim_loss"] = model.discrim_loss
                fetches["gen_loss_GAN"] = model.gen_loss_GAN
                fetches["gen_loss_L1"] = model.gen_loss_L1

I tried some RNN regression learning based on the code in the "PyTorch-Tutorial/tutorial-contents/403_RNN_regressor.py" file, which did not work for me at all.

According to an accepted answer on stack-overflow (https://stackoverflow.com/questions/52857213/recurrent-network-rnn-wont-learn-a-very-simple-function-plots-shown-in-the-q?noredirect=1#comment92916825_52857213), it turns out that the li

According to scipy, scipy.misc.toimage()

toimage is deprecated! toimage is deprecated in SciPy 1.0.0, and will be removed in 1.2.0. Use Pillow’s Image.fromarray directly instead.

which is used on line 46 of utils/visualizer.py is now a deprecated function under the newest scipy version. As a result this co

Is there any place I can read about how to produce high-quality results? The pictures from the README look very well produced whereas the result I get from the collab demo is not as good. Is there any documentation about the parameters for that Trump-Cage example?
Thank you so much

Hello, @JiahuiYu .
There is no progress bar after "Trigger callback: Total counts of trainable weights: 9999294.
Total size of trainable weights: 0G 9M 548K 958B (Assuming32-bit data type.)" anymore.
What should i do to have it back?

I downloaded the pre-training model to see the effect of the model. Instead of generating flist file, I directly tested it, and the following error occurred：

python test.py --checkpoints ./checkpoints/places2 --input ./examples/places2/images --mask ./examples/places2/masks --output ./checkpoints/results --model 3

Loading EdgeModel generator...
Loading InpaintingModel generator...

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