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?

DM-Count/preprocess/preprocess_dataset_nwpu.py

Line 99 in cc5f213

def main(input_dataset_path, output_dataset_path, min_size=384, max_size=1920):

[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