Comments (3)
![image](https://private-user-images.githubusercontent.com/109464349/275167508-f6a916f5-1538-4cb6-bdc4-dbd85ee4bdd5.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MjE5Mzk2NDYsIm5iZiI6MTcyMTkzOTM0NiwicGF0aCI6Ii8xMDk0NjQzNDkvMjc1MTY3NTA4LWY2YTkxNmY1LTE1MzgtNGNiNi1iZGM0LWRiZDg1ZWU0YmRkNS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNzI1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDcyNVQyMDI5MDZaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1hNTU3ODI4NjZhZjdhYjFhYmViZjE1M2Q4ZmZmMjQ1NjFlNjVlZDMxM2IxYzdkMTAxMTk1NjViZjU4ZDA0OGU1JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.SoryyZTHorqTCziKyFvcVyG91j9cKZvHyaxpVnF3Blk)
Great! I've successfully obtained the rainbow mask. I'm truly grateful for your assistance.
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also I guess I loaded the model to the expected cuda
model, aug = load_model(diffusion_ver=VER, image_size=SIZE, num_timesteps=TIMESTEP, block_indices=tuple(INDICES), decoder_only=False)
model = model.to(device)
since I have added these lines in the pck_spair_pascal
file.
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Hi, thanks for the interest in our work!
Interestingly, I met a similar problem when I first played with the ODISE repoπ. And here's the issue I raised in their repo. I ended up getting around this problem by setting the CUDA_VISIBLE_DEVICES
instead of the torch.to(device)
(e.g., you can add another line os.environ["CUDA_VISIBLE_DEVICES"]=3
on top of the script). Hopefully it could be helpful for you.
Best,
Junyi
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Related Issues (16)
- get_mask cannot return valid mask HOT 3
- Collab Demo HOT 1
- Code for PCA HOT 3
- Object Swapping (with refinement process) HOT 2
- how to fix the issue of 'RuntimeError: Panoptic/odise_label_coco_50e.py not available in Model Zoo!' HOT 7
- ValueError: a must be greater than 0 unless no samples are taken HOT 5
- AttributeError: module 'keras.backend' has no attribute 'is_tensor' HOT 3
- Details about how to extract sd features HOT 1
- Questions about sd features HOT 2
- Installation issues for Mask Former HOT 2
- Result different from demo_vis_features.ipynb HOT 4
- License? HOT 1
- The image size for extracting the Dinov2-pretrained-model HOT 2
- Establish environment HOT 3
- Model parameter mismatch HOT 2
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