sportslabkit.metrics.identity#

Overview#

Function#

identity_score(bboxes_track, bboxes_gt)

Calculates ID metrics for one sequence.

id_final_scores(res)

-

Functions#

sportslabkit.metrics.identity.identity_score(bboxes_track: sportslabkit.BBoxDataFrame, bboxes_gt: sportslabkit.BBoxDataFrame) → dict[str, Any][source]#

Calculates ID metrics for one sequence.

Parameters:

  • bboxes_track (BBoxDataFrame) – Bbox Dataframe for tracking in 1 sequence

  • bboxes_gt (BBoxDataFrame) – Bbox Dataframe for ground truth in 1 sequence

Returns:

ID metrics

Return type:

dict[str, Any]

Note: The description of each evaluation indicator will be as follows: “IDTP” : The number of true positive identities. “IDFN” : The number of false negative identities. “IDFP” : The number of false positive identities. “IDF1” : The F1 score of the identity detection. “IDR” : The recall of the identity detection. “IDP” : The precision of the identity detection.

This is also based on the following original paper and the github repository. paper : https://arxiv.org/abs/1609.01775 code : https://github.com/JonathonLuiten/TrackEval

sportslabkit.metrics.identity.id_final_scores(res)[source]#