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niloofarAzari avatar niloofarAzari commented on August 21, 2024 3

@niloofarAzari @AndosonLiu 请问 这个问题有解决么,望解答 谢谢

comment line 20 and 21 in eval.py and try again. I mean these two lines:
if with_gpu:
model.parallelize()

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niloofarAzari avatar niloofarAzari commented on August 21, 2024

i have the same problem, may someone help please?

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SealQ avatar SealQ commented on August 21, 2024

@niloofarAzari @AndosonLiu 请问 这个问题有解决么,望解答 谢谢

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SealQ avatar SealQ commented on August 21, 2024

@niloofarAzari Hello, this problem has been solved, it can be run, thank you! I'd like to ask you another question. I have the following situations when I use my own data for training. Please give me your advice!
SN(6WV6Z_MULGCY}V2 PP41

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niloofarAzari avatar niloofarAzari commented on August 21, 2024

@niloofarAzari Hello, this problem has been solved, it can be run, thank you! I'd like to ask you another question. I have the following situations when I use my own data for training. Please give me your advice!
SN(6WV6Z_MULGCY}V2 PP41

about "poly in wrong direction" warning: poly coordinates in your dataset gt files should be clockwise and start with top left corner
and about the results you get, continue training and see if you get better results!

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SealQ avatar SealQ commented on August 21, 2024

@niloofarAzari Hello, this problem has been solved, it can be run, thank you! I'd like to ask you another question. I have the following situations when I use my own data for training. Please give me your advice!
SN(6WV6Z_MULGCY}V2 PP41

about "poly in wrong direction" warning: poly coordinates in your dataset gt files should be clockwise and start with top left corner
and about the results you get, continue training and see if you get better results!

Hello, it's adjusted, but there will still be a situation where val_precious and val_recall is 0. Didn't this happen when you were training?

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niloofarAzari avatar niloofarAzari commented on August 21, 2024

@SealQ hi, have you succeeded to train this model and get better precious and recall?
i tried to train it on ICDAR2015 but the result on detection was not satisfactory.

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