What happens when I use anomalib train --config?

[luoyq6]

Describe the bug

Dataset

Folder

Model

PatchCore

Steps to reproduce the behavior

anomalib train --config /opt/workspace/luoyq/anomalib/src/configs/model/patchcore.yaml

OS information

OS information:

• OS: [e.g. Ubuntu 20.04]
• Python version: [e.g. 3.10.0]
• Anomalib version: [e.g. 0.3.6]
• PyTorch version: [e.g. 1.9.0]
• CUDA/cuDNN version: [e.g. 11.1]
• GPU models and configuration: [e.g. 2x GeForce RTX 3090]
• Any other relevant information: [e.g. I'm using a custom dataset]

Expected behavior

Screenshots

No response

Pip/GitHub

pip

What version/branch did you use?

No response

Configuration YAML

patchcore.yaml

Logs

no

Code of Conduct

• I agree to follow this project's Code of Conduct

[samet-akcay]

Can you show the output of anomalib --help? For example here is mine:

Arguments ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Usage: anomalib [-h] [-c CONFIG] [--print_config [=flags]] {install,fit,validate,test,train,predict,export} ...                                   │
│                                                                                                                                                   │
│                                                                                                                                                   │
│ Options:                                                                                                                                          │
│   -h, --help            Show this help message and exit.                                                                                          │
│   -c, --config CONFIG   Path to a configuration file in json or yaml format.                                                                      │
│   --print_config [=flags]                                                                                                                         │
│                         Print the configuration after applying all other arguments and exit. The optional flags customizes the output and are one │
│                         or more keywords separated by comma. The supported flags are: comments, skip_default, skip_null.                          │
│                                                                                                                                                   │
│ Subcommands:                                                                                                                                      │
│   For more details of each subcommand, add it as an argument followed by --help.                                                                  │
│                                                                                                                                                   │
│                                                                                                                                                   │
│   Available subcommands:                                                                                                                          │
│     install             Install the full-package for anomalib.                                                                                    │
│     fit                 Runs the full optimization routine.                                                                                       │
│     validate            Perform one evaluation epoch over the validation set.                                                                     │
│     test                Perform one evaluation epoch over the test set. It's separated from fit to make sure you never run on your                │
│     train               Fit the model and then call test on the trained model.                                                                    │
│     predict             Run inference on a model.                                                                                                 │
│     export              Export the model to ONNX or OpenVINO format.                                                                              │
│                                                                                                                                                   │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

[luoyq6]

[samet-akcay]

Did you install anomalib from PyPI or from source? Looks like installation is not gone through

[mitanihiroshi]

I encountered the same phenomenon with 1.0.1. "pip install -e ." fixed it in my env. I installed from pip not from source.

[samet-akcay]

Just a note that pip install anomalib does not install the core packages such as torch, lightning and others. This is mainly to keep the installation wheel small and flexible. If you would like to install them as well, you could install anomalib via pip install anomalib[full]

[luoyq6]

@samet-akcay Does torch version have to be 2.0.0<torch<2.2.0? My device does not support cuda greater than 11.0 at the moment

[samet-akcay]

We haven't tested it. Can you install your torch version after installing anomalib and try to train a model? This way you could check if it works or not?

[luoyq6]

OK, I'll try