Evaldet

* Drop support for Python 3.8, add support for Python 3.11 (36)
* Add module for computing COCO object detection metrics (36)
* Add Detections class to represent object detections, and load from and save to COCO and parquet formats (36)
* Refactor the individual MOT metrics from classes to functions (36)

Added

* Support for reading/writing to parquet formats ([30](https://github.com/tadejsv/EvalDeT/pull/30))

Changed

* Changed internal representation of attributes to use a single numpy array instead of per-frame dict ([30](https://github.com/tadejsv/EvalDeT/pull/30))

Added

* A `py.typed` file to support typing of this library in installations ([25](https://github.com/tadejsv/EvalDeT/pull/25))

Added

* Slicing of `Tracks` ([24](https://github.com/tadejsv/EvalDeT/pull/24))
* Export of `Tracks` to CVAT for Video and a custom CSV format ([24](https://github.com/tadejsv/EvalDeT/pull/24))

Changed

* When creating tracks, if `confs` or `classes` are not provided, they are now given a default value, instead of being `None`. ([24](https://github.com/tadejsv/EvalDeT/pull/24))

Changed

* Improve HOTA metrics to use less memory ([23](https://github.com/tadejsv/EvalDeT/pull/23))
* Improve ID metrics to use less memory ([23](https://github.com/tadejsv/EvalDeT/pull/23))

Fixed

* Fix typing for compatibility with Python 3.8 ([22](https://github.com/tadejsv/EvalDeT/pull/22))