Comments (14)
Thanks for reporting this.
@vgunjal you are not doing something wrong. I was able to reproduce the error... The script needs to be updated. The problem is that I believe that these versions are necessary for the script to work correctly.
I am trying now the script with new versions, but I think it will not work.
from download-celeba-hq.
So I've been doing a lot of experimenting to get the script to work over the past 2 days. A lot of it are hacky workarounds, but if they end up giving me the output I need, I can post an update / make a PR with the changes if that's okay with you?
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That would be awsome... Thanks a lot.
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Did you check that the images are correctly reconstructed? You should have a look at a 100 of them to see if anything weird is happening...
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The process is yet to complete one successful run xD I've been babysitting it all day. Will post an update by tomorrow.
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@nperraud The script completed successfully! I'm now trying to verify if the images are correct. I used numpy and matplotlib to look at the npy files as images and I get examples that look like these -
Is the output supposed to look like this? What do you use to visualize the images?
from download-celeba-hq.
They are not supposed to look like this. But I suppose that it might just be a plotting issue. Have a look at this notebook.
https://github.com/nperraud/download-celebA-HQ/blob/master/Checking%20the%20dataset.ipynb
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It was indeed a plotting issue. The output looks similar to the output from the notebook.
Note that some of the images have random green / blue pixels scattered around in them. I'm not sure why those occur.
from download-celeba-hq.
I think it should look like that...
I believe the wrong pixels comes from the fact that you are using the wrong versions of the packages...
from download-celeba-hq.
do you think the output I get is usable for the training of the Progressive GANs?
from download-celeba-hq.
No, unfortunatly I do not think so...
But did you try the original repo? https://github.com/tkarras/progressive_growing_of_gans
I have the feeling that their code improved a lot since I created these scripts. Today, it might be easier to just use their repo... or to do a mix of both repo...
I see now that their requirements has been updated:
https://github.com/tkarras/progressive_growing_of_gans/blob/master/requirements-pip.txt
Maybe simply updating the requirements should do the trick
from download-celeba-hq.
I am sorry, I do not have the time yet to help more...
from download-celeba-hq.
I already tried with that repo - however as I understand it, their dataset_tool.py file only helps generate the deltas. I didn't understand how they recreate the original images from the deltas and, hence, I ended up using your script.
from download-celeba-hq.
Could you still make a pull request? I will try to have a look at it...
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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
- 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
- celebA-HQ output is 3*3 image replication with 1024*1024? HOT 6
- Docker issue "FileNotFoundError: [Errno 2] No such file or directory: 'image_list.txt'" HOT 2
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