An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Initial implementation of dataclasses for model inputs and outputs, meant to collect feedback (DO NOT MERGE).
Adds ImageBatch and VideoBatch dataclasses and base classes.
collate_fn had to be updated to allow collating the dataclasses as batches.
Backward compatibility is achieved by defining the __getitem__ and __setitem__ methods in the BatchItem base class and by adding prorties for renamed attributes (e.g. mask -> gt_mask).
✨ Changes
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[ ] 🐞 Bug fix (non-breaking change which fixes an issue)
[x] 🔨 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)
[ ] 📚 Documentation update
[ ] 🔒 Security update
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📝 Description
ImageBatchandVideoBatchdataclasses and base classes.collate_fnhad to be updated to allow collating the dataclasses as batches.__getitem__and__setitem__methods in theBatchItembase class and by adding prorties for renamed attributes (e.g.mask->gt_mask).✨ Changes
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✅ Checklist
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