Comments (1)
I want to know make the 2K image to 1024, then use random crop to make it to 255*255 shape in the train dataloader.Won't this have a bad effect on the results of image segmentation?
Of course, you can train the Network without cropping. You can try this by modifying the 'DatasetTrain' at line41(maybe) of dataset.py into 'DatasetVal'. When I do this, I found an exception (CUDA out of memory). So, if you have a much powerful GPU, you can feed the original images.
Hope it's the answer you are searching.
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Related Issues (17)
- Better Model?
- Loss of information: upscaling after downscaling in get_item
- train lane model, that changes self.num_classes=2 is right?
- Data Enhancement HOT 1
- shape doesn't match HOT 2
- Changing No.# of classes HOT 4
- Using Your Model Trained with CityScapes
- Dimension mismatch
- Add License HOT 1
- about evaluation result HOT 1
- class weights of cityscapes HOT 3
- size mismatch for aspp when loading pre-trained model HOT 5
- Multi Grid Support
- please tell me at last what is the trian loss number?
- What does the OS stand for in the model name?
- why you use 20 classes? HOT 1
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