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Change Log

Release 1.2.1

Major Features and Improvements

  • Update the tutorial.

Bug Fixes and Other Changes

  • Clearify the flow on the evaluating frame by frame.

  • Fix several bugs on evaluating metrics.

Release 1.2.0

Major Features and Improvements

  • Add a new by-frame function, read_detections_per_frame_v2, on the IOUTracker class. This function improves a lot the matching speed between a tracker and a detection. It upgraded the method purposed by the original paper. It allowed the detection boxes of each frame recorded itself tracker IDs while in applying the IOU tracker algorithm.

  • Move the original caller of the IOUTracker object to the previous method (__previous__). Pointed the latest version of IOUTracker with the results annotated with Tracker IDs.

Bug Fixes and Other Changes

  • Updated the tutorial Jupyter notebook.

  • Add an assertion to make sure that the data type of UID in the ground truth or the prediction must be an integer or a string.

  • Fixed several bugs on the evaluation flow.

Release 1.1.1

Major Features and Improvements

  • Update the class EvaluateByFrame and add a function evaluateOnPredsWithTrackerID to it. It allows evaluating the tracking result with the ground truth without the IOUTracker algorithm involved.

Bug Fixes and Other Changes

  • Fix a bug on the GTTrajectory class. Solve the first time adding the detection box, and it causes a IDSW.

  • Fix a bug on the additionApproach on the Hungarian class.

Release 1.1.0

IOU Tracker 1.1.0 improves easy-to-use functionality, including auto tracker ID increment and redesign metric and helper APIs.

Major Features and Improvements

  • Move the matching algorithm, Hungarian, from the metrics.MOTmetrics to the src.helpers, and its unit tests as well.

  • Move the BBoxIOU and a static method of the IOUTracker class, detections_transform, to the src.Helpers class.

  • Add the auto tracker ID increment as the default feature.

  • Add an implementation to call IOUTracker for returning the corresponding track information, including ID, total time period on the unit of the frame, and a flag for considering the validation.

Bug Fixes and Other Changes

  • Update the tutorial.

  • Add more functionalities or APIs to the package ioutracker.

Release 1.0.0

The major algorithm features and metrics were designed and implemented.