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CVTH3PE/playground.py
crosstyan 1f8d70803f feat: Implement time-weighted triangulation for enhanced 3D point reconstruction
- Added two new functions: `triangulate_one_point_from_multiple_views_linear_time_weighted` and `triangulate_points_from_multiple_views_linear_time_weighted` to perform triangulation with time-based weighting, improving accuracy in 3D point estimation.
- Introduced a method to group detections by camera while preserving the latest detection, enhancing tracking state management.
- Updated the `update_tracking` function to incorporate time-weighted triangulation, allowing for more robust updates to tracking states based on new detections.
- Refactored the `TrackingState` to utilize a mapping of historical detections by camera, improving data organization and access.
2025-05-03 17:17:47 +08:00

40 KiB