Comments (13)
The dev from DainApp said this to me:
I think it was a pytorch update that change some parameter for rescaling, not sure. Perhaps try to downgrade the pytorch
Maybe give that a try first?
I will test it when I can, maybe saturday.
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I'll check if it's our problem or not.
Keep in touch. : )
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This is a problem with DAIN it self.
Some people try to solve it by resizing the interpolated frames.
The "Colab_DAIN.ipynb" in the DAIN repository comes with said hotfix, it does minimize that problem, but it still isnt perfect.
The DAINApp application fixes this completely, but I don't know how.
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@Brokensilence Could you please help us improve it according to the "Colab_DAIN.ipynb" in the DAIN repository, I will assist if needed. 😺
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@CyFeng16 I addded it to inference_dain: https://github.com/BrokenSilence/MVIMP/blob/master/inference_dain.py
But as I said, its not perfect. And I still dont know how to improve it.
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Many thanks.
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Some of the advanced features had added into our repo new according to #10 . PTAL.
Looking forward to @Brokensilence 's further movement.
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@CyFeng16 I managed to completely fix this issue.
I did a few things, maybe not all are needed, but it was the only way I could get it to interpolate without errors.
Here is the colab notebook, please take a look: https://github.com/BrokenSilence/MVIMP/blob/master/MVIMP_DAIN_Colab.ipynb
- Downgraded gcc
- Downgraded Torch
- Downgraded Cuda
- Adjusted nvcc_args
- Updated OpenCv
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@Brokensilence
Hi, good day!
Do these changes continue after your partially modified DAIN? (Aka #10 )
I'll try and make a PR as long as everything goes well.
Thank you for your continued support, it means a lot.
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@CyFeng16
I didn't quite understand this part: "Do these changes continue after your partially modified DAIN? (Aka #10 )"
Could you rephrase it?
Thank you.
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@CyFeng16 I addded it to inference_dain: https://github.com/BrokenSilence/MVIMP/blob/master/inference_dain.py
But as I said, its not perfect. And I still dont know how to improve it.
No problem!
You have already made some modification and I merge it into this PR #10 . Therefore I wonder what you tried at https://github.com/BrokenSilence/MVIMP/blob/master/MVIMP_DAIN_Colab.ipynb has connections with the modification you mentioned before or not.
Sorry for the unclear explanation - -||
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@CyFeng16
Thank you.
It's a completely different solution. So I did remove the frame resizing hotfix from inference_dain: Zotikus1001@a5297bc
That was all. :)
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@Brokensilence Thanks in advance. 👍
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Related Issues (20)
- Colab inference_dain error HOT 5
- Future Features HOT 22
- DAIN inference_dain.py issues . HOT 10
- Unable to git clone Waifu2x HOT 9
- Possibly unnecessary compilation of waifu2x HOT 3
- Need feedback for test branch HOT 3
- Filename set to test.mp4 HOT 2
- /content/MVIMP/Data/Input/%10d.png: No such file or directory HOT 8
- Interpolated Frames turn out Pixelated HOT 1
- ImportError: DLL load failed: The specified module could not be found HOT 1
- DAIN: "no kernel image is available for execution on the device" HOT 6
- waifu2x don't work on tpu HOT 1
- DAIN IsADirectoryError: [Errno 21] Is a directory: '/content/MVIMP/Data/Input/.ipynb_checkpoints' HOT 1
- Anime DAIN and 2/3-dupe HOT 4
- colab DAIN THCudaCheck FAIL file=/pytorch/aten/src/THC/THCGeneral.cpp line=405 error=11 : invalid argument HOT 1
- error in correlation_forward_cuda_kernel: no kernel image is available for execution on the device HOT 3
- MVIMP-Photo3D-Demo missing Loader???
- Is waifu2x the right choice? HOT 9
- Regarding Compiling DAIN on Tesla V100 and RTX line HOT 4
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