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DeepFovea++: Reconstruction and Super-Resolution for Natural Foveated Rendered Videos (PyTorch).

License: MIT License

Python 45.67% C++ 4.21% Cuda 30.54% TeX 7.47% Jupyter Notebook 11.92% Dockerfile 0.19%
deep-fovea deep-learning deformable-convolutional-networks fovea foveated-rendering machie-learning neural-network pytorch super-resolution video-super-resolution

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deepfoveapp_for_video_reconstruction_and_super_resolution's Issues

How to cite your work?

Have you ever published your paper on any conferences or journals?
It is interesting and related to my ongoing work. I want to cite your work officially but can't find a proper one.

Can't start training

Hi, @ChristophReich1996, I can't start the training process.
After I execute python main.py --train, I got this

Traceback (most recent call last):
  File "main.py", line 81, in <module>
    model_wrapper.train(epochs=20)
  File "/home/eason/research/DeepFovea++/model_wrapper.py", line 207, in train
    self.discriminator_network(label),
  File "/home/anaconda3/envs/deepfovea++/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/anaconda3/envs/deepfovea++/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py", line 159, in forward
    return self.module(*inputs[0], **kwargs[0])
  File "/home/anaconda3/envs/deepfovea++/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/eason/research/DeepFovea++/discriminator.py", line 45, in forward
    output = output.view(1, self.in_channels * 2, self.frames, output.shape[2], output.shape[3])
RuntimeError: shape '[1, 6, 6, 192, 256]' is invalid for input of size 3538944

I checked the prediction of the generator and the label and both of their dimension is [2, 18, 768, 1024]
I'm not sure if there's anything missing.
(By the way, I successfully executed validation.)

Thanks.

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