feat(data): add autovi dataset for anomaly detection

[avasseur60]

📝 Description

• Work in progress, done by university student at the University of Technology of Compiegne, on behalf of Prof. A. Durupt.
• Added the dataset classes, dataloaders and other necessary functions to load AutoVI Dataset.
• Notable issues : the dataset has to be downloaded locally to be treated.
• Pre-commit check : Licensing error "autovi.py:1:1: CPY001 Missing copyright notice at top of file" to correct

✨ Changes

• 🚀 New feature (non-breaking change which adds functionality)
• 🐞 Bug fix (non-breaking change which fixes an issue)
• 🔄 Refactor (non-breaking change which refactors the code base)
• ⚡ Performance improvements
• 🎨 Style changes (code style/formatting)
• 🧪 Tests (adding/modifying tests)
• 📚 Documentation update
• 📦 Build system changes
• 🚧 CI/CD configuration
• 🔧 Chore (general maintenance)
• 🔒 Security update
• 💥 Breaking change (fix or feature that would cause existing functionality to not work as expected)

✅ Checklist

Before you submit your pull request, please make sure you have completed the following steps:

• My code follows the [pre-commit style and check guidelines (https://github.com/openvinotoolkit/anomalib/blob/main/CONTRIBUTING.md) of this project.
• I have performed a self-review of my code
• I have commented my code, particularly in hard-to-understand areas
• I have made the necessary updates to the documentation (if applicable).
• I have written tests that support my changes and prove that my fix is effective or my feature works (if applicable).
• My PR title follows conventional commit format.

For more information about code review checklists, see the Code Review Checklist.

[rajeshgangireddy]

Hi, it looks like the PR is in draft mode? If so, please set the PR to draft until it's ready for review.

To add a dataset, typically, the following is to be implemented:

• dataset class class AutoViDataset(AnomalibDataset) in ‎src/anomalib/data/datasets/
• datamodule class class BMAD(AnomalibDataModule) in ‎src/anomalib/data/datamodules/image/
• Update respective init.py‎ files to make the dataset and datamodule importable
• Documentation update
• Example config (optional but recommended)

You can take a look at this PR of adding dataset as a reference :
#3000