How to calculate the general Precision x recall curve of the detection model?

rafaelpadilla / review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

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How to calculate the general Precision x recall curve of the detection model? #118

Closed Nephys222 closed 1 year ago

Nephys222 commented 1 year ago

@rafaelpadilla Firstly thanks for the great library. I can easily plot the Precision x recall curve for each class and all of them at one graph. But how one could calculate the 'Precision x recall curve' of the average of all classes?

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