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I want to make my own dataset to train the model. Except Lidar to produce the disparity ground truth, any method can produce the disparity like kitti? The format is...

I loaded the pre-training weights during training and the resolution matches my training set, but an error is reported in train.py. If it works fine without pre-training weights, which file do I need to change?

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Traceback (most recent call last): File "train.py", line 369, in main() # pylint: disable=no-value-for-parameter File "/root/miniconda3/lib/python3.8/site-packages/click/core.py", line 1157, in __call__ return self.main(*args, **kwargs) File "/root/miniconda3/lib/python3.8/site-packages/click/core.py", line 1078, in main rv...