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PyTorch 1.0 loading VGGFace2 weights in Python3.7
Python - Sphinx adding image gives errorUnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in positionHow to replace non-ASCII charactersHow the python2 deal the string and unicode in internal?Python 3: JSON File Load with Non-ASCII CharactersHow to construct a matrix based on user input?Transform ascii to unicodeASCII non ASCII translation Python 2.7Using pefile returns unicodeDecodeErrorPython2.7 ascii' codec can't decode byte 0xc3 in position 7: ordinal not in range(128)
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I am using Python3.7 and PyTorch 1.0 to develop a face recognition system. I want to use VGGFace2 Resnet50 pretrained model as described here as a feature extractor. I have downloaded the model and weights.
I run the following codes as project readme says:
MainModel = imp.load_source('MainModel', 'resnet50_128_pytorch.py')
model = torch.load('resnet50_128_pytorch.pth')
First line executed as expected but in the second line i got
'ascii' codec can't decode byte 0xc3 in position 1124: ordinal not in
range(128)
I searched in the Stackoverflow and Google and i saw that it may be about this model saved with Python2 and loading from Python3 creates a problem. Is there any way that i can solve this?
Thank you.
python python-3.x python-2.7 pytorch
asked Mar 23 at 9:34
Alperen KantarcıAlperen Kantarcı
523419
add a comment |
I am using Python3.7 and PyTorch 1.0 to develop a face recognition system. I want to use VGGFace2 Resnet50 pretrained model as described here as a feature extractor. I have downloaded the model and weights.
I run the following codes as project readme says:
MainModel = imp.load_source('MainModel', 'resnet50_128_pytorch.py')
model = torch.load('resnet50_128_pytorch.pth')
First line executed as expected but in the second line i got
'ascii' codec can't decode byte 0xc3 in position 1124: ordinal not in
range(128)
I searched in the Stackoverflow and Google and i saw that it may be about this model saved with Python2 and loading from Python3 creates a problem. Is there any way that i can solve this?
Thank you.
python python-3.x python-2.7 pytorch
asked Mar 23 at 9:34
Alperen KantarcıAlperen Kantarcı
523419
add a comment |
I am using Python3.7 and PyTorch 1.0 to develop a face recognition system. I want to use VGGFace2 Resnet50 pretrained model as described here as a feature extractor. I have downloaded the model and weights.
I run the following codes as project readme says:
MainModel = imp.load_source('MainModel', 'resnet50_128_pytorch.py')
model = torch.load('resnet50_128_pytorch.pth')
First line executed as expected but in the second line i got
'ascii' codec can't decode byte 0xc3 in position 1124: ordinal not in
range(128)
I searched in the Stackoverflow and Google and i saw that it may be about this model saved with Python2 and loading from Python3 creates a problem. Is there any way that i can solve this?
Thank you.
python python-3.x python-2.7 pytorch
asked Mar 23 at 9:34
Alperen KantarcıAlperen Kantarcı
523419
I am using Python3.7 and PyTorch 1.0 to develop a face recognition system. I want to use VGGFace2 Resnet50 pretrained model as described here as a feature extractor. I have downloaded the model and weights.
I run the following codes as project readme says:
MainModel = imp.load_source('MainModel', 'resnet50_128_pytorch.py')
model = torch.load('resnet50_128_pytorch.pth')
First line executed as expected but in the second line i got
'ascii' codec can't decode byte 0xc3 in position 1124: ordinal not in
range(128)
I searched in the Stackoverflow and Google and i saw that it may be about this model saved with Python2 and loading from Python3 creates a problem. Is there any way that i can solve this?
Thank you.
python python-3.x python-2.7 pytorch
python python-3.x python-2.7 pytorch
asked Mar 23 at 9:34
Alperen KantarcıAlperen Kantarcı
523419
asked Mar 23 at 9:34
Alperen KantarcıAlperen Kantarcı
523419
asked Mar 23 at 9:34
Alperen KantarcıAlperen Kantarcı
523419
asked Mar 23 at 9:34
Alperen KantarcıAlperen Kantarcı
523419
asked Mar 23 at 9:34
Alperen KantarcıAlperen Kantarcı
523419
523419
add a comment |
add a comment |
1 Answer
1
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oldest
votes
I found a solution which currently looks like it's working. It basically changes the pickle load with latin1 encoding.
from functools import partial
import pickle
pickle.load = partial(pickle.load, encoding="latin1")
pickle.Unpickler = partial(pickle.Unpickler, encoding="latin1")
MainModel = imp.load_source('MainModel', 'resnet50_ft_pytorch.py')
model = torch.load('resnet50_ft_pytorch.pth', map_location=lambda storage, loc: storage, pickle_module=pickle)
answered Mar 23 at 11:35
Alperen KantarcıAlperen Kantarcı
523419
add a comment |
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I found a solution which currently looks like it's working. It basically changes the pickle load with latin1 encoding.
from functools import partial
import pickle
pickle.load = partial(pickle.load, encoding="latin1")
pickle.Unpickler = partial(pickle.Unpickler, encoding="latin1")
MainModel = imp.load_source('MainModel', 'resnet50_ft_pytorch.py')
model = torch.load('resnet50_ft_pytorch.pth', map_location=lambda storage, loc: storage, pickle_module=pickle)
answered Mar 23 at 11:35
Alperen KantarcıAlperen Kantarcı
523419
add a comment |
I found a solution which currently looks like it's working. It basically changes the pickle load with latin1 encoding.
from functools import partial
import pickle
pickle.load = partial(pickle.load, encoding="latin1")
pickle.Unpickler = partial(pickle.Unpickler, encoding="latin1")
MainModel = imp.load_source('MainModel', 'resnet50_ft_pytorch.py')
model = torch.load('resnet50_ft_pytorch.pth', map_location=lambda storage, loc: storage, pickle_module=pickle)
answered Mar 23 at 11:35
Alperen KantarcıAlperen Kantarcı
523419
add a comment |
I found a solution which currently looks like it's working. It basically changes the pickle load with latin1 encoding.
from functools import partial
import pickle
pickle.load = partial(pickle.load, encoding="latin1")
pickle.Unpickler = partial(pickle.Unpickler, encoding="latin1")
MainModel = imp.load_source('MainModel', 'resnet50_ft_pytorch.py')
model = torch.load('resnet50_ft_pytorch.pth', map_location=lambda storage, loc: storage, pickle_module=pickle)
answered Mar 23 at 11:35
Alperen KantarcıAlperen Kantarcı
523419
I found a solution which currently looks like it's working. It basically changes the pickle load with latin1 encoding.
from functools import partial
import pickle
pickle.load = partial(pickle.load, encoding="latin1")
pickle.Unpickler = partial(pickle.Unpickler, encoding="latin1")
MainModel = imp.load_source('MainModel', 'resnet50_ft_pytorch.py')
model = torch.load('resnet50_ft_pytorch.pth', map_location=lambda storage, loc: storage, pickle_module=pickle)
answered Mar 23 at 11:35
Alperen KantarcıAlperen Kantarcı
523419
answered Mar 23 at 11:35
Alperen KantarcıAlperen Kantarcı
523419
answered Mar 23 at 11:35
Alperen KantarcıAlperen Kantarcı
523419
answered Mar 23 at 11:35
Alperen KantarcıAlperen Kantarcı
523419
523419
add a comment |
add a comment |
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