Comments (6)
HavenFeng
commented on June 23, 2024
Oh, I just found it's a numpy reshape problem. The code runs very well.
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vjtrost88
commented on June 23, 2024
@HavenFeng I'm having the same problem here - what was your reshaping solution?
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vjtrost88
commented on June 23, 2024
Figured it out. For anyone else who might be encountering this problem, use the following:
img = img.transpose(0,2,3,1) where img is the numpy array for the image. Just need to reorder things, so image stays first, height second, width third, and channels fourth.
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nperraud
commented on June 23, 2024
So should I change something in my code?
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vjtrost88
commented on June 23, 2024
@nperraud I don't think so - unless you want your code to save image files too. The code does a great job of reconstructing the .npy files. Images are icing on the cake. Thanks for this repo, it worked great and helped a ton!
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nperraud
commented on June 23, 2024
Happy that you found it useful!
Thanks for your clear answer.
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Related Issues (18)
- urllib.error.HTTPError: HTTP Error 429 HOT 6
- Error in make_HQ_images.py OSError: 3145728 requested and 1671040 written HOT 3
- Convert to HQ some part of celeba dataset HOT 2
- Dropbox links not working currently
- Total size of the dataset HOT 1
- Windows 10 Compatibility HOT 3
- make_HQ_images.py needs modification HOT 2
- Error downloading `jpeg` & `pillow` with conda HOT 14
- Only Linux and Mac OS X support .7z HOT 2
- zipfile.BadZipFile: File is not a zip file HOT 3
- sum simplification code HOT 3
- download_celebA.py: Checksum doesn't match HOT 3
- docker fails
- Flaws images 70 && 2815 HOT 3
- Use google drive instead of dropbox everywhere
- error in Make_hq_images.py float() argument must be a string or a number, not 'Image' HOT 3
- Docker issue "FileNotFoundError: [Errno 2] No such file or directory: 'image_list.txt'" HOT 2
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