Comments (3)
fcole
commented on July 27, 2024
Unfortunately I don't have a lot of guidance to give here as I haven't experimented with a CPU version. It might be as simple as removing the cuda() calls, but I suspect pytorch has some hidden way to bite you there.
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isConic
commented on July 27, 2024
I ran the davis test script. Every time I would run into a cuda is not enabled error, I would notice that the code has .cuda() appended to it, like you mentioned.
I removed all .cuda() as I ran into them one by one on the stack trace. The script finally started working after I reached the last one. I only had to edit models/pix2pix.py and models/networks.py.
Behold:
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fcole
commented on July 27, 2024
Great, glad it works!
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Related Issues (20)
- typo in instruction HOT 1
- Images Downscaled HOT 1
- Camera pose and intrinsics estimation at inference time HOT 2
- Colmap Patch matching settings HOT 2
- Code to generate depth maps from Youtube videos HOT 1
- How to generate HDF5 data?
- RuntimeError: unexpected EOF, expected 109330 more bytes. The file might be corrupted.
- Clarifications on training pipeline HOT 2
- Running on custom videos HOT 3
- thank you for your work~when do you offer the training code? HOT 12
- Could I get more detail about object insertion from depth-based visual effect part?
- training data
- will you share the MannequinChallenge Dataset? HOT 2
- Would you like to share the initial depth estimation methods? HOT 3
- Some of the video in the datasets become unavailable HOT 5
- Inference Performance HOT 2
- How to get the camera intrinsic parameters from the original YouTube wild videos? HOT 1
- Output depth data format HOT 5
- Inference of the multi-view model - guidance required HOT 6
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