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Kibeom-Hong / Domain-Aware-Style-Transfer

Official Implementation of Domain-Aware Universal Style Transfer
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TypeError: unhashable type: 'list' #3

Open Max-Well-Wang opened 3 years ago

Max-Well-Wang commented 3 years ago

Hello, I have the following problems when I run the main.py file. Can you help me solve it? Traceback (most recent call last): File "C:/Users/Administrator/Desktop/ymq/Domain-Aware-Style-Transfer-main/Domain-Aware-Style-Transfer-main/main.py", line 68, in model = Baseline(args) File "C:\Users\Administrator\Desktop\ymq\Domain-Aware-Style-Transfer-main\Domain-Aware-Style-Transfer-main\baseline.py", line 79, in init pretrained_vgg = torchfile.load('./baseline_checkpoints/vgg_normalised_conv4_1.t7') File "D:\ANACONDA\envs\pytorch\lib\site-packages\torchfile.py", line 424, in load return reader.read_obj() File "D:\ANACONDA\envs\pytorch\lib\site-packages\torchfile.py", line 370, in read_obj obj._obj = self.read_obj() File "D:\ANACONDA\envs\pytorch\lib\site-packages\torchfile.py", line 385, in read_obj k = self.read_obj() File "D:\ANACONDA\envs\pytorch\lib\site-packages\torchfile.py", line 386, in read_obj v = self.read_obj() File "D:\ANACONDA\envs\pytorch\lib\site-packages\torchfile.py", line 370, in read_obj obj._obj = self.read_obj() File "D:\ANACONDA\envs\pytorch\lib\site-packages\torchfile.py", line 387, in read_obj obj[k] = v TypeError: unhashable type: 'list'

Kibeom-Hong commented 3 years ago

Thanks for your interest!

I think you should check the path of 'pretrained_vgg'.

How about set the path as the absolute path?

Please check the code at 71 lines

Thanks.

mamemo commented 3 years ago

Hey guys, I just had the same issue. It's a Windows specific error. When running the code on Linux it outputs the desired results.

Great work by the way!

TerrenceHenry commented 2 years ago

I have same error running on Win10. File path is correct. Any ideas on how to resolve this?

Pragathi-PL commented 2 years ago

Yahh same error while running in mac any idea how to resolve ?

surfingnirvana commented 1 year ago

fix for windows:

baseline.py

line 71 pretrained_vgg = torchfile.load('./baseline_checkpoints/vgg_normalised_conv4_1.t7', force_8bytes_long=True) line 445 pretrained_vgg = torchfile.load('./baseline_checkpoints/vgg_normalised_conv4_1.t7', force_8bytes_long=True)

site-packages\torchfile.py", line 288 for i in xrange(n): -------------> for i in range(n):