def test_metrics_two_predictions_one_gt_2():
width, height = 10, 10
bbox = BBox(0, 2, 0, 2).normalize(width, height)
annotations = [
AnnotatedBBox.ground_truth("a", bbox),
AnnotatedBBox.prediction("a", bbox, 0.9),
AnnotatedBBox.prediction("a", bbox.move(0.5, 0.5), 0.5),
]
metrics = get_metrics([annotations])
assert metrics.per_class["a"].total_FP == 1
assert metrics.per_class["a"].total_TP == 1
assert metrics.mAP == 1
def test_iou_threshold():
bbox = BBox(0, 5, 0, 5)
annotations = [
AnnotatedBBox.ground_truth("a", bbox),
AnnotatedBBox.prediction("a", bbox.move(2.5, 0), 0.9),
]
metrics = get_metrics([annotations], iou_threshold=0.9)
assert metrics.per_class["a"].total_FP == 1
assert metrics.per_class["a"].total_TP == 0
assert metrics.mAP == 0
metrics = get_metrics([annotations], iou_threshold=0.2)
assert metrics.per_class["a"].total_FP == 0
assert metrics.per_class["a"].total_TP == 1
assert metrics.mAP == 1