FutureWarning: You are using torch.load with weights_only=False

[PannyHuang]

Question

I'm using Python 3.9 on Windows 11. After installing it, I ran the example code provided by the official documentation, and it displayed a warning and stopped execution.

CMD

python remove_anything.py --input_img .\example\remove-anything\dog.jpg --coords_type key_in --point_coords 200 450 --point_labels 1 --dilate_kernel_size 15 --output_dir .\results --sam_model_type "vit_h" --sam_ckpt .\pretrained_models\sam_vit_h_4b8939.pth --lama_config .\lama\configs\prediction\default.yaml --lama_ckpt .\pretrained_models\big-lama

Warning

FutureWarning: You are using torch.loadwithweights_only=False(the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value forweights_onlywill be flipped toTrue. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. state = torch.load(path, map_location=map_location)

requirements.txt

requirements_my.txt