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python test.py --name three_view_long_share_d0.75_256_s1_google
We use the scale: 1
-------test-----------
/data1/miniconda3/envs/lzy-Univ/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
warnings.warn(
/data1/miniconda3/envs/lzy-Univ/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or None for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing weights=ResNet50_Weights.IMAGENET1K_V1. You can also use weights=ResNet50_Weights.DEFAULT to get the most up-to-date weights.
warnings.warn(msg)
Load the model from ./model/three_view_long_share_d0.75_256_s1_google/net_119.pth
1 -> 3:
128
Segmentation fault (core dumped)