Comments (4)
Hi, I just move to new institution and I CAN NOT find the model files. However, you can train the model for each polyp segmentation dataset and generally the epoch is less than 100.
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Hi, I just move to new institution and I CAN NOT find the model files. However, you can train the model for each polyp segmentation dataset and generally the epoch is less than 100.
Thanks for your reply! I don't need the modle files. In your code, I noticed that it seemed like saving a best model for each poplyp testing dataset. So my question is that, did you train with the same training dataset(five mixed types) and then save an optimal model for each testing set?
from caranet.
Hi, I just move to new institution and I CAN NOT find the model files. However, you can train the model for each polyp segmentation dataset and generally the epoch is less than 100.
Thanks for your reply! I don't need the modle files. In your code, I noticed that it seemed like saving a best model for each poplyp testing dataset. So my question is that, did you train with the same training dataset(five mixed types) and then save an optimal model for each testing set?
Yes! We use same training set and save a model for each testing dataset.
from caranet.
Hi, I just move to new institution and I CAN NOT find the model files. However, you can train the model for each polyp segmentation dataset and generally the epoch is less than 100.
Thanks for your reply! I don't need the modle files. In your code, I noticed that it seemed like saving a best model for each poplyp testing dataset. So my question is that, did you train with the same training dataset(five mixed types) and then save an optimal model for each testing set?
Yes! We use same training set and save a model for each testing dataset.
I got it. Thank you very much!
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Related Issues (20)
- About the CaraNet.py HOT 4
- About Axial-Attention HOT 2
- Some questions about self_attn HOT 3
- Preprocess of Brats data HOT 1
- About weighted intersection over union and weighted binary cross-entropy HOT 6
- About the calculations of the model indicators of every epoch HOT 2
- do u do some ablation experments on ur modules HOT 3
- binary segmentation HOT 2
- About axial attention module gamma HOT 5
- About Test.py file HOT 1
- After several experiments, the same computer on the test index is different. HOT 1
- About Query, Key, and Value HOT 1
- Why add a PRELU output to a linear output? HOT 1
- mean Dice is greater than 1 when I set --test_path to 'Kvasir' 'CVC-ColonDB' and 'ETIS-LaribPolypDB' HOT 1
- hi author๏ผi see the epoch in this code is '10',is it true? if not, how much epochs does this model need? HOT 1
- Sorry to disturb you, I have a little question to ask you. โ = โ๐ผ๐๐ ๐ค + โ๐ต๐ถ๐ธ ๐ค to calculate the global loss and local (pixel-level) loss๏ผWhat do the global loss and local loss mean here ? HOT 1
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