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xinntao / ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
https://github.com/xinntao/BasicSR
Apache License 2.0
5.86k stars 1.04k forks source link

Not recognising my upscale model. #125

Open Jobornio opened 3 years ago

Jobornio commented 3 years ago

Hello. I'm a total newbie when it comes to python and this is the first program where I've gotten to the point of being halfway decently set up. What I want help with is this whole mess.

(base) C:\Users\Journey.LAPTOP-6NGPTH4A\Programs\ESRGAN-master>python test.py models/Manga109Attempt_old_arch.pth Traceback (most recent call last): File "test.py", line 15, in model.load_state_dict(torch.load(model_path), strict=True) File "D:\Users\Programs\miniconda3\lib\site-packages\torch\nn\modules\module.py", line 1406, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for RRDBNet: Missing key(s) in state_dict: "conv_first.weight", "conv_first.bias", "RRDB_trunk.0.RDB1.conv1.weight", "RRDB_trunk.0.RDB1.conv1.bias", "RRDB_trunk.0.RDB1.conv2.weight", "RRDB_trunk.0.RDB1.conv2.bias", "RRDB_trunk.0.RDB1.conv3.weight", "RRDB_trunk.0.RDB1.conv3.bias", "RRDB_trunk.0.RDB1.conv4.weight", "RRDB_trunk.0.RDB1.conv4.bias", "RRDB_trunk.0.RDB1.conv5.weight", "RRDB_trunk.0.RDB1.conv5.bias", "RRDB_trunk.0.RDB2.conv1.weight", "RRDB_trunk.0.RDB2.conv1.bias", "RRDB_trunk.0.RDB2.conv2.weight", "RRDB_trunk.0.RDB2.conv2.bias", "RRDB_trunk.0.RDB2.conv3.weight", "RRDB_trunk.0.RDB2.conv3.bias", "RRDB_trunk.0.RDB2.conv4.weight", "RRDB_trunk.0.RDB2.conv4.bias", "RRDB_trunk.0.RDB2.conv5.weight", "RRDB_trunk.0.RDB2.conv5.bias", "RRDB_trunk.0.RDB3.conv1.weight", "RRDB_trunk.0.RDB3.conv1.bias", "RRDB_trunk.0.RDB3.conv2.weight", "RRDB_trunk.0.RDB3.conv2.bias", "RRDB_trunk.0.RDB3.conv3.weight", "RRDB_trunk.0.RDB3.conv3.bias", "RRDB_trunk.0.RDB3.conv4.weight", "RRDB_trunk.0.RDB3.conv4.bias", "RRDB_trunk.0.RDB3.conv5.weight", "RRDB_trunk.0.RDB3.conv5.bias", "RRDB_trunk.1.RDB1.conv1.weight", "RRDB_trunk.1.RDB1.conv1.bias", "RRDB_trunk.1.RDB1.conv2.weight", "RRDB_trunk.1.RDB1.conv2.bias", "RRDB_trunk.1.RDB1.conv3.weight", "RRDB_trunk.1.RDB1.conv3.bias", "RRDB_trunk.1.RDB1.conv4.weight", "RRDB_trunk.1.RDB1.conv4.bias", "RRDB_trunk.1.RDB1.conv5.weight", "RRDB_trunk.1.RDB1.conv5.bias", "RRDB_trunk.1.RDB2.conv1.weight", "RRDB_trunk.1.RDB2.conv1.bias", "RRDB_trunk.1.RDB2.conv2.weight", "RRDB_trunk.1.RDB2.conv2.bias", "RRDB_trunk.1.RDB2.conv3.weight", "RRDB_trunk.1.RDB2.conv3.bias", "RRDB_trunk.1.RDB2.conv4.weight", "RRDB_trunk.1.RDB2.conv4.bias", "RRDB_trunk.1.RDB2.conv5.weight", "RRDB_trunk.1.RDB2.conv5.bias", "RRDB_trunk.1.RDB3.conv1.weight", "RRDB_trunk.1.RDB3.conv1.bias", "RRDB_trunk.1.RDB3.conv2.weight", "RRDB_trunk.1.RDB3.conv2.bias", "RRDB_trunk.1.RDB3.conv3.weight", "RRDB_trunk.1.RDB3.conv3.bias", "RRDB_trunk.1.RDB3.conv4.weight", "RRDB_trunk.1.RDB3.conv4.bias", "RRDB_trunk.1.RDB3.conv5.weight", "RRDB_trunk.1.RDB3.conv5.bias", "RRDB_trunk.2.RDB1.conv1.weight", "RRDB_trunk.2.RDB1.conv1.bias", "RRDB_trunk.2.RDB1.conv2.weight", "RRDB_trunk.2.RDB1.conv2.bias", "RRDB_trunk.2.RDB1.conv3.weight", "RRDB_trunk.2.RDB1.conv3.bias", "RRDB_trunk.2.RDB1.conv4.weight", "RRDB_trunk.2.RDB1.conv4.bias", "RRDB_trunk.2.RDB1.conv5.weight", "RRDB_trunk.2.RDB1.conv5.bias", "RRDB_trunk.2.RDB2.conv1.weight", "RRDB_trunk.2.RDB2.conv1.bias", "RRDB_trunk.2.RDB2.conv2.weight", 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I've tried the _old_arch.pth trick before anyone asks about that. Can someone help me out here?