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MSRPAN: A Multiscale Residual Pyramid Attention Network for Medical Image Fusion
I cannot find the training part, could be downloaded ?
I cannot find the training part in this repository, will it be uploaded?
Namespace(cuda='true', model='./model/model.pth', output_filename=None, save_folder='./test', test_folder='./test')
/home/root3203/anaconda3/envs/gan/lib/python3.7/site-packages/torch/serialization.py:493: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True
and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)
/home/root3203/anaconda3/envs/gan/lib/python3.7/site-packages/torch/serialization.py:493: SourceChangeWarning: source code of class 'torch.nn.modules.upsampling.Upsample' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True
and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)
/home/root3203/anaconda3/envs/gan/lib/python3.7/site-packages/torch/serialization.py:493: SourceChangeWarning: source code of class 'torch.nn.modules.pooling.AvgPool2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True
and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)
/home/root3203/anaconda3/envs/gan/lib/python3.7/site-packages/torch/serialization.py:493: SourceChangeWarning: source code of class 'torch.nn.modules.activation.ReLU' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True
and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)
/home/root3203/anaconda3/envs/gan/lib/python3.7/site-packages/torch/serialization.py:493: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True
and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)
我是新手 请问一下这个问题怎么解决万分感激
您好,请问训练部分的代码是在哪块
torch==1.1.0
torchvision==0.3.0
scipy==1.2.0
But I still got stuck in the step of loading the pth using torch.load with cuda, but map_location='cpu' works.
Hello, what is the environment in which the model runs
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