Comments (1)
Well i figure it out by modifying the code in demo.py to move the scale_image_patches to gpu.
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Related Issues (20)
- prepare_cityscapes.sh
- Some problems about Gleason dataset HOT 3
- How to train without using pretrained weight weights? HOT 4
- some details about the results of experiment
- Training details on methods in Table 4 HOT 2
- How to apply train.py trained parameters to test.py? HOT 1
- Some questions about the training process HOT 4
- Patches and refined locations HOT 9
- the epoch_IoU of retrained refinement network can only up to 0.35 on deepglobe dataset HOT 4
- # of required GPUs to reproduce Best outputs HOT 10
- RuntimeError: shape '[1, 1, -1, 508, 508]' is invalid for input of size 16451136 HOT 1
- input to the model HOT 1
- RuntimeError: shape '[1, 1, -1, 508, 508]' is invalid for input of size 16451136 HOT 2
- a small question about Deepglobe dataset HOT 1
- Why the input_size of backbone is set to the number of 508×508 on the DeepGlobe dataset experiment? HOT 1
- About the result of deepglobe dataset HOT 5
- demo.py: error: --sub_batch_size HOT 2
- About the Gleason dataset
- AttributeError in test_magnet.sh Script HOT 1
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