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Tracking algorithms specifically designed for objects with arbitrary orientations using rotated geometry.
Distinct from Object Tracking: Focuses on oriented bounding boxes for angled objects, whereas Object Tracking is general.
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Boxmot is a multi-object tracking framework designed to follow multiple objects across video frames using motion and appearance algorithms to maintain consistent identities. It functions as a system for tracking objects with specific orientations using rotated bounding boxes and corresponding intersection-over-union computations. The project includes a re-identification model optimizer that converts neural networks into formats for hardware-accelerated execution. It also features an evolutionary hyperparameter tuner that iteratively mutates tracker settings to maximize accuracy for specific d
Implements tracking for objects with specific orientations using rotated bounding boxes to improve accuracy for angled items.