luzanikita / object_detection_metrics

Object Detection Metrics

This project was forked from rafaelpadilla/Object-Detection-Metrics.

Getting started

Installing object_detection_metrics

$ pip install object_detection_metrics

from podm.podm import get_pascal_voc_metrics

gt_BoundingBoxes = ... # type: List[BoundingBox]
pd_BoundingBoxes = ... # type: List[BoundingBox]
results = get_pascal_voc_metrics(gt_BoundingBoxes, pd_BoundingBoxes, .5)

Implemented metrics

Tutorial.

• Intersection Over Union (IOU)
• TP and FP
  • True Positive (TP): IOU ≥ IOU threshold (default: 0.5)
  • False Positive (FP): IOU < IOU threshold (default: 0.5)
• Precision and Recall
• Average Precision
  • 11-point AP
  • all-point AP