AveragePrecisionRecall.get_classes_scores_at#
- AveragePrecisionRecall.get_classes_scores_at(res: ndarray, iou: Optional[float] = None, area: Optional[str] = None, max_dets: Optional[int] = None, get_mean_val: bool = True, zeroed_negative: bool = True, class_weights: Optional[ndarray] = None)[source]#
Get the mean value of the classes scores and the result values.
- Parameters
- res: np.array
either precision or recall when using the ‘2’ return option
- ioufloat, default: None
filter by iou threshold
- areastr, default: None
filter by are range name [‘small’, ‘medium’, ‘large’, ‘all’]
- max_detsint, default: None
filter by max detections
- get_mean_valbool, default: True
get mean value if True, if False get per class
- zeroed_negativebool, default: True
if getting the class results list set negative (-1) values to 0
- class_weightsnp.array, default None
The class weights for weighted macro averaging. If None, gives equal weights to all the classes.
- Returns
- Union[List[float], float]
The mean value of the classes scores or the scores list.