Major changes:
- Add passive boundary capture during practice sessions via DockedVisionFeed
- Create BoundaryFrameFilters component with capture type, session, player,
and time range filtering using TimelineRangeSelector
- Add sessionId/playerId metadata to boundary frame annotations
- Update boundary-samples API to store and return session/player context
- Improve boundary detector training pipeline with marker masking
- Add preprocessing pipeline preview in training data browser
- Update model sharding (2 shards instead of 1)
Files added:
- BoundaryFrameFilters.tsx - Filter UI component
- usePassiveBoundaryCapture.ts - Hook for passive training data collection
- saveBoundarySample.ts - Shared utility for saving boundary samples
- preview-augmentation/route.ts - API for preprocessing pipeline preview
- preview-masked/route.ts - API for marker masking preview
- marker_masking.py, pipeline_preview.py - Python training utilities
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Thomas Hallock