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I have downloaded one of the dataset (COFW) and tested using available pre-trained models (resnet18). The NME score that I got is 0.08758. If I multiply the score with 100%, it results in 8.758%.
Q: How to produce the same NME score as your paper? In the COFW, it is reported as 3.31%. Thank you.
The text was updated successfully, but these errors were encountered:
Hi, what's your PyTorch version? If it's over 1.6, there may be inconsistency for int tensor division, related to line 185 and 190 in functions.py. You can replace "max_ids/tmp_width" by "torch.floor(max_ids/tmp_width)"
Hi
Thank you for sharing your codes.
I have downloaded one of the dataset (COFW) and tested using available pre-trained models (resnet18). The NME score that I got is 0.08758. If I multiply the score with 100%, it results in 8.758%.
Q: How to produce the same NME score as your paper? In the COFW, it is reported as 3.31%. Thank you.
The text was updated successfully, but these errors were encountered: