About the min_size, max_size in the preprocess

[zhou-rui1]

Hi, thanks for this meaningful work. I am wondering how will the min_size, max_size effects the final results or the training process?

https://github.com/cvlab-stonybrook/DM-Count/blob/cc5f2132e0d1328909f31b6d665b8e0b15c30467/preprocess/preprocess_dataset_nwpu.py#L99

[zhou-rui1]

New experients shows that, when I train it with larger input size(first assign larger min_size), Wass Distance appear to be nan...thus the overall mae be higher...

could you give me some guidance on this problem?

with best regards, rui