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I'm trying to run predict and retrain your network.
When i run code to predict, i use command: python3.7 baseline_crf.py --command predict --output_dir . --image_dir ./of500_images_resized --dataset_dir . --weights_file 0.23782721560846543.model --encoding_file ./baseline_models/baseline_encoder --cnn_type resnet_50
It creates error:
command = predict
Traceback (most recent call last):
File "baseline_crf.py", line 668, in <module>
encoder = torch.load(args.encoding_file)
File "/usr/local/lib/python3.7/dist-packages/torch/serialization.py", line 529, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/usr/local/lib/python3.7/dist-packages/torch/serialization.py", line 692, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, ' '.
Can you give me some advice how to fix it?
I tried to use python3.6 + pytorch1.0
anhd python3.7 + pytorch1.5
But none of them work.
The text was updated successfully, but these errors were encountered:
I'm trying to run predict and retrain your network.
When i run code to predict, i use command:
python3.7 baseline_crf.py --command predict --output_dir . --image_dir ./of500_images_resized --dataset_dir . --weights_file 0.23782721560846543.model --encoding_file ./baseline_models/baseline_encoder --cnn_type resnet_50
It creates error:
Can you give me some advice how to fix it?
I tried to use
python3.6 + pytorch1.0
anhd
python3.7 + pytorch1.5
But none of them work.
The text was updated successfully, but these errors were encountered: