Comments (7)
LSUN should be working now too. Note that the link by @PenguinGabe is based on the old README. README has been fixed now, use the links from the new README, listed here
https://storage.googleapis.com/glow-demo/data/celeba-tfr.tar
https://storage.googleapis.com/glow-demo/data/imagenet-oord-tfr.tar
https://storage.googleapis.com/glow-demo/data/imagenet-tfr.tar
https://storage.googleapis.com/glow-demo/data/lsun-tfr.tar
https://storage.googleapis.com/glow-demo/data/lsun_realnvp-tfr.tar
@thealgebraist Yep, I should've put > celeba-tfr.tar
after the curl, replaced with wget
now
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Fixed links, try now?
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curl https://storage.googleapis.com/glow-demo/data/lsun-tfr.tar
Got a similar error:
<Error>
<Code>AccessDenied</Code>
<Message>Access denied.</Message>
<Details>Anonymous caller does not have storage.objects.get access to glow-demo/data/lsun-tfr.tar</Details>
</Error>
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celeba
is working, but lsun
is broken, as @edrickwong mentioned above
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Lsun is still uploading, should be up by tomorrow!
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Also, I think you mean:
wget https://storage.googleapis.com/glow-demo/celeb-tfr.tar
since curl just writes the tar to stdout (on OSX at least).
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Still the same error for CelebA as well
<?xml version='1.0' encoding='UTF-8'?><Error><Code>AccessDenied</Code><Message>Access denied.
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Related Issues (20)
- Custom Dataset
- A bug in get_data.py
- How to use pretrained model in current version of tensorflow2 with tensorflow.compat.v1? HOT 2
- Meaning 1x1 convolution as generalization for permuation HOT 2
- Which part is encoder ,and which part is decoder? HOT 1
- Can not download pretrained models, logs and samples HOT 3
- local loss and nll loss
- z_manipulate.npy
- Loading of the model issue
- Is 'attr' in one data In celeba-full-tfr?
- Bug in image reconstruction with model.py HOT 1
- Different implementation of activation normalization from the one described in the paper.
- About log likelihood of data point (logpX) HOT 2
- About the cross split and channel-continuously split
- mpiexec hangs on creating pad HOT 1
- Demo: Privacy statement HOT 2
- About pip install -r requirements.txt
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