def test_multiple_detections(self):
gt = make_representation("0 0 0 5 5", is_ground_truth=True)
pred = make_representation("1 0 0 0 5 5; 0.9 0 0 0 5 5")
overlap_evaluator = IOU({})
tp, fp = bbox_match(gt, pred, 0, overlap_evaluator)[:2]
assert tp[0] == 1
assert tp[1] == 0
def test_single_non_overlap(self):
gt = make_representation("0 5 5 10 10", is_ground_truth=True)
pred = make_representation("0 0 0 5 5", score=1)
overlap_evaluator = IOU({})
tp, fp = bbox_match(gt, pred, 0, overlap_evaluator)[:2]
assert tp[0] == 0
assert fp[0] == 1
def test_single_non_overlap_ignored(self):
gt = make_representation("0 5 5 10 10", is_ground_truth=True)
pred = make_representation("0 0 0 5 5", score=1)
pred[0].metadata['difficult_boxes'] = [0]
overlap_evaluator = IOU({})
tp, fp = bbox_match(gt, pred, 0, overlap_evaluator)[:2]
assert tp[0] == 0
assert fp[0] == 0
def test_false_negative(self):
gt = make_representation("0 0 0 5 5; 0 1 1 6 6", is_ground_truth=True)
pred = make_representation("0 0 0 5 5", score=1)
overlap_evaluator = IOU({})
tp, fp, _, ngt = bbox_match(gt, pred, 0, overlap_evaluator)[:4]
assert tp[0] == 1
assert tp.shape[0] == 1
assert ngt == 2
def test_multiple(self):
gt = make_representation("0 0 0 5 5; 0 7 7 8 8", is_ground_truth=True)
pred = make_representation("0 0 0 5 5; 0 7 7 8 8", score=1)
overlap_evaluator = IOU({})
tp, fp = bbox_match(gt, pred, 0, overlap_evaluator)[:2]
assert tp[0] == 1
assert tp[1] == 1
assert fp[0] == 0
assert fp[0] == 0
def test_single(self):
gt = "0 0 0 5 5"
pred = "0 0 0 5 5"
gt = make_representation(gt, is_ground_truth=True)
pred = make_representation(pred, score=1)
overlap_evaluator = IOU({})
tp, fp = bbox_match(gt, pred, 0, overlap_evaluator)[:2]
assert tp[0] == 1
assert fp[0] == 0
def test_no_predictions(self):
gt = "0 0 0 5 5"
pred = "1 0 0 5 5"
gt = make_representation(gt, is_ground_truth=True)
pred = make_representation(pred, score=1)
overlap_evaluator = IOU({})
tp, fp, _, n = bbox_match(gt, pred, 0, overlap_evaluator)[:4]
assert n == 1
assert len(tp) == 0
assert len(fp) == 0
def test_single_difficult_non_overlap_not_ignore_difficult(self):
gt = make_representation("0 5 5 10 10", is_ground_truth=True)
gt[0].metadata['difficult_boxes'] = [0]
pred = make_representation("0 0 0 5 5", score=1)
overlap_evaluator = IOU({})
tp, fp, _, n = bbox_match(gt,
pred,
0,
overlap_evaluator,
ignore_difficult=False)[:4]
assert n == 1
assert tp[0] == 0
assert fp[0] == 1
def test_iou_empty_prediction_box(self):
gt = "0 0 0 5 5"
pred = "0 0 0 0 0"
gt = make_representation(gt, is_ground_truth=True)
pred = make_representation(pred, score=1)
overlap_evaluator = IOU({})
with pytest.warns(None) as warnings:
tp, fp, _, n = bbox_match(gt, pred, 0, overlap_evaluator)[:4]
assert len(warnings) == 0
assert n == 1
assert tp[0] == 0
assert fp[0] == 1
def test_multi_label(self):
gt = make_representation("1 0 0 5 5; 0 9 9 10 10",
is_ground_truth=True)
pred = make_representation("1 1 0 0 5 5; 0.8 0 7 7 8 8")
overlap_evaluator = IOU({})
tp, fp = bbox_match(gt, pred, 1, overlap_evaluator)[:2]
assert tp.shape[0] == 1
assert tp[0] == 1
assert fp[0] == 0
tp, fp = bbox_match(gt, pred, 0, overlap_evaluator)[:2]
assert tp.shape[0] == 1
assert tp[0] == 0
assert fp[0] == 1
def test_single_with_use_filtered_tp(self):
gt = "0 0 0 5 5"
pred = "0 0 0 5 5"
gt = make_representation(gt, is_ground_truth=True)
pred = make_representation(pred, score=1)
pred[0].metadata['difficult_boxes'] = [0]
overlap_evaluator = IOU({})
tp, fp = bbox_match(gt,
pred,
0,
overlap_evaluator,
use_filtered_tp=True)[:2]
assert tp[0] == 1
assert fp[0] == 0
def test_multiple_detections_with_not_ignore_difficult(self):
gt = make_representation("0 0 0 5 5", is_ground_truth=True)
pred = make_representation("1 0 0 0 5 5; 0.9 0 0 0 5 5")
gt[0].metadata['difficult_boxes'] = [0]
overlap_evaluator = IOU({})
tp, fp, _, n = bbox_match(gt,
pred,
0,
overlap_evaluator,
ignore_difficult=False)[:4]
assert n == 1
assert tp[0] == 1
assert tp[1] == 0
assert fp[0] == 0
assert fp[1] == 1
def test_single_difficult(self):
gt = "0 0 0 5 5"
pred = "0 0 0 5 5"
gt = make_representation(gt, is_ground_truth=True)
pred = make_representation(pred, score=1)
gt[0].metadata['difficult_boxes'] = [0]
overlap_evaluator = IOU({})
tp, fp, _, n = bbox_match(gt,
pred,
0,
overlap_evaluator,
ignore_difficult=True)[:4]
assert n == 0
assert tp[0] == 0
assert fp[0] == 0