An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
FileNotFoundError: [Errno 2] No such file or directory: 'pre_trained/efficientad_pretrained_weights/pretrained_teacher_EfficientAdModelSize.S.pth'
Dataset
Other (please specify in the text field below)
Model
Other (please specify in the field below)
Steps to reproduce the behavior
Run engine.fit(model=EfficientAdModel())
OS information
Ubuntu20.04
Expected behavior
load pre_trained model weights
It should resolve to 'pre_trained/efficientad_pretrained_weights/pretrained_teacher_small.pth'
Screenshots
No response
Pip/GitHub
pip
What version/branch did you use?
No response
Configuration YAML
........
Logs
(most recent call last):
File "/workspace/.venv/lib/python3.11/site-packages/flytekit/exceptions/scopes.py", line 242, in user_entry_point
return wrapped(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/.venv/lib/python3.11/site-packages/flytekitplugins/mlflow/tracking.py", line 119, in wrapper
out = fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/workspace/anomaly_detection/tasks.py", line 207, in train
engine.fit(datamodule=datamodule, model=model, ckpt_path=config['training']['checkpoint_path'])
File "/workspace/.venv/lib/python3.11/site-packages/anomalib/engine/engine.py", line 515, in fit
self.trainer.fit(model, train_dataloaders, val_dataloaders, datamodule, ckpt_path)
File "/workspace/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 544, in fit
call._call_and_handle_interrupt(
File "/workspace/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 44, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 580, in _fit_impl
self._run(model, ckpt_path=ckpt_path)
File "/workspace/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 989, in _run
results = self._run_stage()
^^^^^^^^^^^^^^^^^
File "/workspace/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1035, in _run_stage
self.fit_loop.run()
File "/workspace/.venv/lib/python3.11/site-packages/lightning/pytorch/loops/fit_loop.py", line 198, in run
self.on_run_start()
File "/workspace/.venv/lib/python3.11/site-packages/lightning/pytorch/loops/fit_loop.py", line 324, in on_run_start
call._call_lightning_module_hook(trainer, "on_train_start")
File "/workspace/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 157, in _call_lightning_module_hook
output = fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/workspace/.venv/lib/python3.11/site-packages/anomalib/models/image/efficient_ad/lightning_model.py", line 240, in on_train_start
self.prepare_pretrained_model()
File "/workspace/.venv/lib/python3.11/site-packages/anomalib/models/image/efficient_ad/lightning_model.py", line 95, in prepare_pretrained_model
self.model.teacher.load_state_dict(torch.load(teacher_path, map_location=torch.device(self.device)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/.venv/lib/python3.11/site-packages/torch/serialization.py", line 986, in load
with _open_file_like(f, 'rb') as opened_file:
^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/.venv/lib/python3.11/site-packages/torch/serialization.py", line 435, in _open_file_like
return _open_file(name_or_buffer, mode)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/.venv/lib/python3.11/site-packages/torch/serialization.py", line 416, in __init__
super().__init__(open(name, mode))
^^^^^^^^^^^^^^^^
Message:
FileNotFoundError: [Errno 2] No such file or directory: 'pre_trained/efficientad_pretrained_weights/pretrained_teacher_EfficientAdModelSize.S.pth'
User error.
Code of Conduct
[X] I agree to follow this project's Code of Conduct
Describe the bug
FileNotFoundError: [Errno 2] No such file or directory: 'pre_trained/efficientad_pretrained_weights/pretrained_teacher_EfficientAdModelSize.S.pth'
Dataset
Other (please specify in the text field below)
Model
Other (please specify in the field below)
Steps to reproduce the behavior
Run
engine.fit(model=EfficientAdModel())
OS information
Ubuntu20.04
Expected behavior
load pre_trained model weights
It should resolve to
'pre_trained/efficientad_pretrained_weights/pretrained_teacher_small.pth'
Screenshots
No response
Pip/GitHub
pip
What version/branch did you use?
No response
Configuration YAML
Logs
Code of Conduct