Comments (4)
zphang
commented on May 27, 2024
It looks like you may be using the single-image model weights with the exam-level model script. Your model_path should look like models/sample_image_model.p rather than models/ImageOnly__ModeImage_weights.p. Can you verify this?
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sanjaykhobragade
commented on May 27, 2024
Thx for response, @zphang
Yes, I had IMAGE_MODEL_PATH='models/ImageOnly__ModeImage_weights.p'.
So, instead I should change it to 'models/sample_image_model.p' ?
And IMAGEHEATMAPS_MODEL_PATH is defined as 'models/ImageHeatmaps__ModeImage_weights.p'. Should this be 'sample_imageheatmaps_model.p' instead?
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zphang
commented on May 27, 2024
There are two separate scripts: run.sh and run_single.sh. It looks like you're getting the configurations mixed between them. Both scripts should have the correct image model paths at the top of the script.
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sanjaykhobragade
commented on May 27, 2024
Yes, that indeed was the case. Thank you!
This issue can be closed.
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Related Issues (20)
- Issue with image_extension when parameter use-hdf5 is used HOT 4
- Training procedure? HOT 3
- Tensorflow Error: Default MaxPoolingOp only supports NHWC on device type CPU HOT 3
- Converting .hdf5 heatmap file to PNG. HOT 1
- Question on when to use models in practical settings HOT 1
- Official request of the dataset HOT 1
- Resize transform for images during training HOT 1
- Preprocessing HOT 1
- helper function HOT 1
- some images doesn't work in crop_single_mammogram.py HOT 5
- Dataset HOT 1
- Outputs predictions HOT 1
- Data HOT 1
- Permission to release my PyTorch implementation for the training procedure and the dataset implementation HOT 3
- ImageNet weights HOT 1
- Weights Resnet 22 HOT 2
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