Quadra

Latest version: v2.3.1

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2.2.3

Updated

- Keep only opencv-python-headless as a dependency for quadra to avoid conflicts with the non-headless version

2.2.2

Updated

- Terminate quadra with error if it's not possible to export an ONNX model with automatic mixed precision instead of falling back to full precision

Fixed

- Fix default quadra installation requiring extra dependencies incorrectly
- Fix matplotlib using interactive backend by default
- Fix documentation errors

2.2.1

Updated

- Update anomalib version, improve release workflow

2.2.0

Updated

- Update dependencies to support publishing Quadra to PyPI

2.1.13

Updated

- Improve safe batch size computation for sklearn based classification tasks

2.1.12

Fixed

- Fix wrong dtype used when evaluating finetuning or anomaly models trained in fp16 precision

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