Comments (4)
I tried changing https://github.com/dnuffer/large_neural_style/blob/master/vgg19.py#L37 to values = pickle.load(open(weights_filename, encoding="utf8"))['param values']
and I get a slightly different error
Traceback (most recent call last):
File "large_neural_style.py", line 193, in <module>
sys.exit(main())
File "large_neural_style.py", line 129, in main
args.print_loss)
File "C:\Users\aaols\Documents\large_neural_style\stylize.py", line 30, in generate_stylized_image
stylize = Stylize(content, True, style, content_weight, style_weight, style_layer_weight_factor, total_variation_weight, print_loss, print_progress=True)
File "C:\Users\aaols\Documents\large_neural_style\stylize.py", line 92, in __init__
self.net.load_params('vgg19_normalized.pkl')
File "C:\Users\aaols\Documents\large_neural_style\vgg19.py", line 37, in load_params
values = pickle.load(open(weights_filename, encoding="utf8"))['param values']
File "C:\Python36\lib\codecs.py", line 321, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte
So I am assuming this is some kind of encoding error.
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The error is because the weights were pickled with python 2.7 and you're using 3.6. Apparently there's potential incompatibilities. Reading https://stackoverflow.com/questions/28218466/unpickling-a-python-2-object-with-python-3 it seems you can try passing encoding="latin1" to pickle.load(), and if that doesn't work, I'd suggest using python 2.7.
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Also you can try using encoding='bytes'
from large_neural_style.
Ah, I see, thank you!
I changed line 37 to values = pickle.load(open(weights_filename, 'rb'), encoding='latin-1')['param values']
and that has moved me forward.
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Related Issues (4)
- utf-8 codec error HOT 3
- Cant seem to run this.. HOT 1
- samples
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