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When I try to execute train.py, I met this error.
-------YOUR SETTINGS_________
verbose: True
model: VRES
train_set: train
fine_tune: False
num_epochs: 50
…
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Pixshuffle is widely used in image/video transformations (e.g., super resolution). Can XGen add this operator support?
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https://github.com/ryujaehun/ESPCN
https://github.com/ryujaehun/video-super-resolution
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Hi,
I noticed you've begun implementing support for video super-resolution (VRT) and FLAVR. When can we expect these features to be officially "working" in the Chainer framework?
I also have a s…
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Hi ,
I am relatively new to Android programming (about 1 months). I am working on an application in which I have a USB camera always connected to Android device. I need the following functions: re…
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Hello,
Thanks for the amazing work! I was wondering if you have some sample videos that we could use with the inference script to play around with. I haven't had the chance to read through the code…
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## Task Description:
Make a video with a high-level explanation of how the SFS works including an explanation of the layer2 sequencer and how we share the fees
## Acceptance Criteria:
Content Qua…
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I used Matlab for RGB generation, but I think Matlab and Python should be similar.
_Originally posted by @thangvubk in https://github.com/thangvubk/video-super-resolution/issues/5#issuecomment-4821…
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This is a great open source, but there is a gap between the resolution of the output and the original video, the resolution of the output is low, and there are jagged, is there a way to deal with it, …
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I have read the paper named Understanding Deformable Alignment in Video Super-Resolution. I am very interested in the Offset-fidelity Loss. Could you please share the code with the Offset-fidelity Los…