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Thanks for sharing this code! Posting here because it seems like there's no "issues" tab in your repo.
I am very interested in comparing to your model. Would you be able to release the pre-trained weights? It would make it much easier to compare and the pre-trained weights are necessary to run the val.py examples in your readme.
I tried running the train.py example using the provided ISIC dataloader (fixed some bugs in 1cb9712 to get it working) but I encountered a shape error with the recommended unet backbone. The image embeddings output by the unet encoder are [image_size/16, image_size/16] instead of [image_size/4, image_size/4] expected here, leading to a shape mismatch here.
Which backbone did you use in the paper? I wasn't able to find these architectural details in the main paper or supplement.
Thanks for sharing this code! Posting here because it seems like there's no "issues" tab in your repo.
I am very interested in comparing to your model. Would you be able to release the pre-trained weights? It would make it much easier to compare and the pre-trained weights are necessary to run the val.py examples in your readme.
I tried running the train.py example using the provided ISIC dataloader (fixed some bugs in 1cb9712 to get it working) but I encountered a shape error with the recommended unet backbone. The image embeddings output by the unet encoder are [image_size/16, image_size/16] instead of [image_size/4, image_size/4] expected here, leading to a shape mismatch here.
Which backbone did you use in the paper? I wasn't able to find these architectural details in the main paper or supplement.
Thanks! Hallee
Hi could you please tell me where should I put prompt.json in?I didnt find any introduction about prompt.json in the code
Hello, is there a sample notebook available for this repository? I'm a bit confused about how to use it. Could you please provide clearer explanations of the parameters or at least a detailed description of each one? It would also be helpful if you could ensure the code works universally.
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Hi,
Thanks for sharing this code! Posting here because it seems like there's no "issues" tab in your repo.
I am very interested in comparing to your model. Would you be able to release the pre-trained weights? It would make it much easier to compare and the pre-trained weights are necessary to run the
val.pyexamples in your readme.I tried running the
train.pyexample using the provided ISIC dataloader (fixed some bugs in 1cb9712 to get it working) but I encountered a shape error with the recommendedunetbackbone. The image embeddings output by the unet encoder are[image_size/16, image_size/16]instead of[image_size/4, image_size/4]expected here, leading to a shape mismatch here.Which backbone did you use in the paper? I wasn't able to find these architectural details in the main paper or supplement.
Thanks!
Hallee