- Introduced a new `LeastMeanSquareVelocityFilter` class to enhance tracking velocity estimation using historical detections.
- Implemented methods for updating measurements and predicting future states, laying the groundwork for advanced tracking capabilities.
- Improved import organization and added necessary dependencies for the new filter functionality.
- Updated class documentation to reflect the new filter's purpose and methods.
- Added a new `LastDifferenceVelocityFilter` class to estimate tracking velocities based on the last observed keypoints, enhancing the tracking capabilities.
- Updated the `Tracking` class to utilize the new velocity filter, allowing for more accurate predictions of keypoints over time.
- Refactored the `predict` method to support various input types (float, timedelta, datetime) for better flexibility in time handling.
- Improved timestamp handling in the `perpendicular_distance_camera_2d_points_to_tracking_raycasting` function to ensure adherence to minimum delta time constraints.
- Cleaned up imports and type hints for better organization and clarity across the codebase.
- Added `pyrsistent` as a dependency to manage historical detections in the `Tracking` class, improving data integrity and immutability.
- Updated the `GlobalTrackingState` to include historical detections using `PVector`, facilitating better tracking of past detections.
- Introduced a new `update_tracking` function to handle timestamp updates for tracking objects, enhancing the tracking logic.
- Refactored imports and type hints for improved organization and clarity across the codebase.
- Replaced the `linear_sum_assignment` import from `scipy.optimize` with `hungarian_algorithm` from `optax` to enhance performance in affinity matrix calculations.
- Introduced a new `AffinityResult` class to encapsulate results of affinity computations, including trackings and detections, improving the structure of the affinity calculation process.
- Removed deprecated functions and debug print statements to streamline the codebase.
- Updated `pyproject.toml` and `uv.lock` to include `optax` as a dependency, ensuring compatibility with the new implementation.
- Refactored imports and type hints for better organization and consistency across the codebase.
- Added a new `Tracking` class to encapsulate tracking data, including keypoints and velocity, with a method for predicting 3D poses based on velocity.
- Refactored the pose prediction logic in `calculate_camera_affinity_matrix_jax` to utilize the new `predict` method from the `Tracking` class, enhancing clarity and modularity.
- Introduced an `AffinityResult` class to manage results of affinity computations, including trackings and detections, improving the structure of the affinity calculation process.
- Updated imports and type hints for better organization and consistency across the codebase.
