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Thanks for your code. I find that there are 30 classes according to their official introduction,while there are 34 classes in ~deeplabv3plus-pytorch/lib/datasets/CityscapesDataset.py. So should I set the self.MODEL_NUM_CLASSES = 30 or self.MODEL_NUM_CLASSES = 30 + 1(background)? I don't know whether to add 1 background.
In my results backgropud scores 0 when I set self.MODEL_NUM_CLASSES = 34 and I do not change CityscapesDataset.py. My GPU resources are limited, so could you help me with this question?
The text was updated successfully, but these errors were encountered:
Thanks for your code. I find that there are 30 classes according to their official introduction,while there are 34 classes in ~deeplabv3plus-pytorch/lib/datasets/CityscapesDataset.py. So should I set the self.MODEL_NUM_CLASSES = 30 or self.MODEL_NUM_CLASSES = 30 + 1(background)? I don't know whether to add 1 background.
In my results backgropud scores 0 when I set self.MODEL_NUM_CLASSES = 34 and I do not change CityscapesDataset.py. My GPU resources are limited, so could you help me with this question?
The text was updated successfully, but these errors were encountered: