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View Code? Open in Web Editor NEWUnofficial implementation of ''BEDSR-Net: A Deep Shadow Removal from a Single Document Image'' with PyTorch
License: MIT License
Unofficial implementation of ''BEDSR-Net: A Deep Shadow Removal from a Single Document Image'' with PyTorch
License: MIT License
python infer.py
Traceback (most recent call last):
...
...
load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Generator:
Unexpected key(s) in state_dict: "CvT6.conv.bias", "CvT7.conv.bias", "CvT8.conv.bias", "CvT9.conv.bias", "CvT10.conv.bias", "CvT11.conv.bias".
pretrained models were download by this link
Hello, do you have a pretrained model trained on RDD dataset?
Thank you for your code
我用IsHYuhi's implementation代码训练benet,如果learning_rate设置为0.003,网络预测的background color会变成tensor([[1., 1., 1.]])。但是改成0.0003,loss就能正常下降。
我看到你公开的default correct training config里的learning_rate: 0.003,请问你有做其他的更改让benet可以正常训练吗
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