v2.2.0 release - #15
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- Modified frames.py to implement weighting based on tilt angle, and use this when calculating the overall tilt consensus.
- Modified frames.py to implement a fall back for tilts which deviate from the consensus to use the nearest good neighbour.
- Added tests/unit/test_frames.py to define unit tests for tilt consensus weighting and outlier fallback.
- Modified README.md to add information about frame per-tilt outlier fallback behaviour.
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Changelog
pylisc frames, to calculate consensus angle using a weighted average where low tilt angles are weighted higher than high tilt angles.pylisc framesfunctionality.