Related Issues (20)
- what kind of image get best perfomance?
- how to outputs segmentation of all the 4 layers with deep_supervision ? HOT 1
- Pre training model??
- Why is the official IOU 0.92 and your IOU only 0.84 HOT 1
- Question about training the model
- about deep supervision
- Is the mask label of the data trained by myself an 8-bit color label graph, or an 8-bit grayscale graph?
- deploy on opencv HOT 1
- Where does the code reflect that "the global loss is weighted and accumulated by the loss functions of each branch"? HOT 1
- Question about "ValueError: With n_samples=0, test_size=0.2 and train_size=None, the resulting train set will be empty. Adjust any of the aforementioned parameters". HOT 3
- When I run the train.py,the results are "loss nan - iou 0.0000 - val_loss nan - val_iou 0.0000"? HOT 2
- crime detection project HOT 1
- albumentations HOT 4
- What is the correct format for training on custom data? HOT 1
- How can I predict segmentation results after training? HOT 12
- Why is the iou result of your code 0.843, but the iou result of the original author of UNet++ for DSB2018 data set 0.92? HOT 2
- How do I train on different image dimenstions e.g 192 x 192 instead of 96 x 96 pixels? HOT 1
- Tensor size mismatch
- is there a pre-trained model available?
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from pytorch-nested-unet.