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Hello, I am interested in the remote sensing semantic segmentation of this project. I have downloaded all the relevant Potsdam datasets and configured the program running environment, but the reproduction steps of the entire training are still unclear. The downloaded public datasets Whether preprocessing is required, images and label images need to be cut into small pieces. If you don't do distributed training, you can simply remove the distributed settings when training on one card. Do you have a more detailed description of the training steps? The description of the training parameter configuration config file allows us to reproduce the model training. Thank you.
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