FALdetector
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EOFError: Ran out of input
python global_classifier.py --input_path ./examples/modified.jpg --model_path ./weights/global.pth --gpu_id 1
Traceback (most recent call last): File "global_classifier.py", line 64, in <module> model = load_classifier(args.model_path, args.gpu_id) File "global_classifier.py", line 19, in load_classifier state_dict = torch.load(model_path, map_location='cpu') File "/data/weidongming/Tools/miniconda3/envs/torch/lib/python3.6/site-packages/torch/serialization.py", line 387, in load return _load(f, map_location, pickle_module, **pickle_load_args) File "/data/weidongming/Tools/miniconda3/envs/torch/lib/python3.6/site-packages/torch/serialization.py", line 564, in _load magic_number = pickle_module.load(f, **pickle_load_args) EOFError: Ran out of input
Could help me?
It might be that your weights/global.pth
is not downloaded properly. Can you try downloading the model weights again and see if it works?
Also, you can try to download the weights manually. Here are the links: global.pth: https://www.dropbox.com/s/rb8zpvrbxbbutxc/global.pth?dl=0 local.pth: https://www.dropbox.com/s/pby9dhpr6cqziyl/local.pth?dl=0