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Description
Running inference (python video_script.py) with the provided snippet yields this error:
Traceback (most recent call last):
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
response.raise_for_status()
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/requests/models.py", line 1024, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/LiheYoung/depth_anything_vitl14/resolve/main/model.safetensors
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/hub_mixin.py", line 796, in _from_pretrained
model_file = hf_hub_download(
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/file_download.py", line 961, in hf_hub_download
return _hf_hub_download_to_cache_dir(
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/file_download.py", line 1024, in _hf_hub_download_to_cache_dir
(url_to_download, etag, commit_hash, expected_size, xet_file_data, head_call_error) = _get_metadata_or_catch_error(
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/file_download.py", line 1484, in _get_metadata_or_catch_error
metadata = get_hf_file_metadata(
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/file_download.py", line 1401, in get_hf_file_metadata
r = _request_wrapper(
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/file_download.py", line 285, in _request_wrapper
response = _request_wrapper(
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/file_download.py", line 309, in _request_wrapper
hf_raise_for_status(response)
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/utils/_http.py", line 420, in hf_raise_for_status
raise _format(EntryNotFoundError, message, response) from e
huggingface_hub.errors.EntryNotFoundError: 404 Client Error. (Request ID: Root=1-67f69c2a-7158d6ea26ec32890b3c47a9;83df6896-d694-41cf-9103-d0893e7cfff3)
Entry Not Found for url: https://huggingface.co/LiheYoung/depth_anything_vitl14/resolve/main/model.safetensors.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "video_script.py", line 348, in <module>
main()
File "video_script.py", line 209, in main
refimg, refimg_nopad, orbitwarps, orbit_rel_poses, spiralwarps, spiral_rel_poses = setup_scene_and_poses()
File "video_script.py", line 82, in setup_scene_and_poses
depth_model, dtransform = load_depth_model()
File "/scratch/morris/repos/nvs/dataloader/evalhelpers.py", line 123, in load_depth_model
depth_model = DepthAnything.from_pretrained('LiheYoung/depth_anything_{:}14'.format(encoder)).cuda().eval()
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/hub_mixin.py", line 566, in from_pretrained
instance = cls._from_pretrained(
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/hub_mixin.py", line 820, in _from_pretrained
return cls._load_as_pickle(model, model_file, map_location, strict)
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/huggingface_hub/hub_mixin.py", line 824, in _load_as_pickle
state_dict = torch.load(model_file, map_location=torch.device(map_location), weights_only=True)
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/torch/serialization.py", line 712, in load
return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
File "/home/morris/miniconda3/envs/megascenes/lib/python3.8/site-packages/torch/serialization.py", line 1047, in _load
unpickler = UnpicklerWrapper(data_file, **pickle_load_args)
TypeError: 'weights_only' is an invalid keyword argument for Unpickler()
I think it's expecting the safetensors version of the DA model but this PR was not merged: https://huggingface.co/LiheYoung/depth_anything_vitl14/discussions/3
Then the fallback loading fails due to the torch version in requirements.txt being 1.12.1 as per: UKPLab/sentence-transformers#2455
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