An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
This PR updates the model readme files to show how to train/test the models on MVTec AD dataset.
🛠️ Fixes #2067
✨ Changes
Select what type of change your PR is:
[ ] 🐞 Bug fix (non-breaking change which fixes an issue)
[ ] 🔨 Refactor (non-breaking change which refactors the code base)
[ ] 🚀 New feature (non-breaking change which adds functionality)
[ ] 💥 Breaking change (fix or feature that would cause existing functionality to not work as expected)
[x] 📚 Documentation update
[ ] 🔒 Security update
✅ Checklist
Before you submit your pull request, please make sure you have completed the following steps:
[ ] 📋 I have summarized my changes in the CHANGELOG and followed the guidelines for my type of change (skip for minor changes, documentation updates, and test enhancements).
[ ] 📚 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).
📝 Description
✨ Changes
Select what type of change your PR is:
✅ Checklist
Before you submit your pull request, please make sure you have completed the following steps:
For more information about code review checklists, see the Code Review Checklist.