- Changed the return type of `perpendicular_distance_point_to_line_two_points` to `jnp.floating[Any]` for improved type accuracy.
- Refactored the `perpendicular_distance_camera_2d_points_to_tracking_raycasting` function to store distances in a typed variable, enhancing clarity and type safety.
- Improved the overall readability of the distance calculation logic by returning the computed distances directly.
- Introduced a new function `calculate_affinity_matrix` to compute the affinity matrix between trackings and detections, enhancing modularity and clarity.
- Updated the existing affinity calculation logic to utilize the new function, improving code organization and readability.
- Adjusted the image size parameter in the distance calculation to ensure proper type handling.
- Enhanced documentation for the new function, detailing its parameters, return values, and matrix layout for better understanding.
- Changed function signatures to use `Sequence` instead of `list` for better type flexibility.
- Introduced a new function `calculate_tracking_detection_affinity` to streamline the calculation of affinities between tracking and detection objects.
- Refactored existing affinity calculation logic to improve clarity and performance, leveraging the new affinity function.
- Removed commented-out code to clean up the implementation and enhance readability.
- Modified the distance calculation function to accept an image size parameter, enhancing accuracy in 2D distance computations.
- Improved the integration of camera parameters into the tracking logic for better performance and reliability.
- Added functions for calculating perpendicular distances between predicted 3D tracking points and camera rays, improving 3D tracking accuracy.
- Introduced a new function for calculating 3D affinity scores based on distances and time differences, enhancing the integration of 3D tracking with existing systems.
- Updated existing functions to support new data types and improved documentation for clarity on parameters and return values.
- Refactored affinity calculation logic to utilize JAX for performance optimization in distance computations.
- Introduced new functions for calculating 2D distances and affinities between detections, improving tracking capabilities.
- Added a `Tracking` dataclass with detailed docstrings for better clarity on its attributes.
- Refactored code to utilize `shallow_copy` for handling detections and improved organization of imports.
- Enhanced the cross-view association logic to accommodate the new functionalities, ensuring better integration with existing tracking systems.
- Removed the `play.ipynb` notebook and created a new `playground.py` script to enhance code organization and maintainability.
- Updated `pyproject.toml` to include `jupytext` for Jupyter notebook conversion support.
- Added instructions in `README.md` for converting notebooks using Jupytext.
- Enhanced the `uv.lock` file to reflect the new dependency on Jupytext.
