- 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.
