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Image Completion with Deep Learning in TensorFlow

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Hello Guys, I have trained the model and saved the .index, .meta and .data file in a different directory. However; when running complete.py I am getting this error: File "/home/hannahbrahman/ADV...

the loss of generator does not converge,it's value range in 2-6

Traceback (most recent call last): File "./train-dcgan.py", line 41, in dcgan.train(FLAGS) File "/data4/hao/dcgan-completion.tensorflow/model.py", line 169, in train sample_images = np.array(sample).astype(np.float32) ValueError: setting an array element with a sequence.

Any ideas regarding running the code with single channel PNGs? > 2017-10-16 12:35:54.068937: I tensorflow/core/common_runtime/gpu/gpu_device.cc:961] DMA: 0 > 2017-10-16 12:35:54.068969: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: Y > 2017-10-16 12:35:54.069003: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating...

I'm trying to use this repo as a denoising tool, but I find that in your model.py 's complete method, the generated model still need to compare with the original...

Can this be modified so it ca inpaint an image which has multiple missing blocks? Eg: inpaint everything that is white (0xFFFFFF) in the image? I mean, how can I...

When I check out the current head, and run `./complete.py x.png`, it fails, and has done since 61c129b22981028a2d18c590e208d0bbe192c4c9. Here is a patch to fix that. I'll add some detailed comments...

\cc @carpedm20 - ping me if somebody ever fixes this