Comments (5)
sezginerr
commented on June 28, 2024
Yes, actually, it takes time to preprocess. I can send adjusted data.py and data_inference.py that does the preprocessing during data loading in a separate repository if it is more convenient for you.
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aakritil
commented on June 28, 2024
that would be great!
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qic999
commented on June 28, 2024
Hi @aakritil, could you send me the adjusted data.py and data_inference.py?
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sezginerr
commented on June 28, 2024
Hi @aakritil and @qic999, you can find example scripts here: https://github.com/sezginerr/datasets_for_niigz/tree/main
I will update them later to make them little faster but for now, they should work.
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sezginerr
commented on June 28, 2024
Hi @aakritil and @qic999, I have updated the scripts as there was a problem in the preprocessing. FYI.
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Related Issues (14)
- I applied to access and use the CT-RATE dataset, but after waiting for a few days, I still couldn't pass. HOT 2
- Dataset storage size HOT 1
- Issue with loading the dataset with huggingface HOT 1
- Issue about checkpoint of CT-CLIP HOT 6
- Error while reproducing the project HOT 3
- How to resume training CT-CLIP HOT 1
- Training command with multi-GPU for CT-Clip Zero-shot model HOT 3
- CPU Memory size for loading total training data HOT 2
- Saved model is incomplete when use --use_fsdp HOT 10
- Mixed precision does not work HOT 1
- Question about validation set HOT 1
- Labels for supervised training HOT 5
- Shape Mis-Match HOT 2
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