Comments (6)
Hi all,
We also started seeing some failures in torchvision as we allow our users to download the Places365. Looks like the dataset is currently marked as "Under Maintanance". If you have any idea how long that may take we'd love to know, as this would help us decide the best course of action for torchvision. We'll happily update the links once it's more stable. Thank you!
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I'm also interested in using the dataset. Is there any information on when it would be available again?
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As of 13 Jan, 2023 (pytorch/vision#7071) the site seems to be back to normal.
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Is there any change needed to use it? (like updating pytorch, or switching to another branch?) or should it work regardless of the used version?
from places365.
From torchvision
perspective there is no change needed. The old links work were fully re-instated so older versions of torchvision
should work as well.
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@pmeier Can you check if the site is working now? Links like http://places2.csail.mit.edu/models_places365/alexnet_places365.caffemodel or http://data.csail.mit.edu/places/places365/places365standard_easyformat.tar are all not working for me. Would appreciate any assistance :)
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Related Issues (20)
- AlexNet PyTorch weights are corrupt
- Image Dimensions
- Cannot download the dataset now HOT 12
- Where is the 'W_sceneattribute_wideresnet18.npy' file? HOT 2
- 504 Gateway Time-out response from dataset download server
- Attribute prediction weights for Hybrid1365 models HOT 1
- running in windows cmd platform HOT 1
- About confusions in run_placesCNN_unified.py
- The domain http://places2.csail.mit.edu is down HOT 4
- Demo website is down HOT 1
- model can not download HOT 1
- Generate Heatmap for categories that is not the top1
- wideresnet18_places365.pth.tar file not found HOT 6
- Resnet50_places365.t7 Issues!
- vgg16_hybrid1365 model output shape error
- Where can I download the Places365 Dataset? HOT 1
- python run_placesCNN_basic.py stopped working - cant download model tar file HOT 1
- Link to Pretrained model weights are broken. HOT 1
- The labels in the website and the labels in the dataset are different.
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