Add LineZone unit tests
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tc360950
parent
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commit
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@ -1,10 +1,13 @@
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from contextlib import ExitStack as DoesNotRaise
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from typing import Optional, Tuple
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from itertools import chain, combinations
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from test.test_utils import mock_detections
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from typing import Optional, Tuple, List
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import numpy as np
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import pytest
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from supervision import LineZone
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from supervision.geometry.core import Point, Vector
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from supervision import Detections, LineZone
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from supervision.geometry.core import Point, Position, Vector
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@pytest.mark.parametrize(
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@ -70,3 +73,320 @@ def test_calculate_region_of_interest_limits(
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with exception:
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result = LineZone.calculate_region_of_interest_limits(vector=vector)
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assert result == expected_result
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@pytest.mark.parametrize(
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"vector, bbox_sequence, expected_count_in, expected_count_out",
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[
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(
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Vector(
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Point(0, 0),
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Point(0, 100),
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),
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[
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[100, 50, 120, 70],
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[-100, 50, -80, 70],
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],
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[False, False],
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[False, True],
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),
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(
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Vector(
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Point(0, 0),
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Point(0, 100),
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),
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[
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[-100, 50, -80, 70],
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[100, 50, 120, 70],
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],
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[False, True],
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[False, False],
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),
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(
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Vector(
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Point(0, 0),
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Point(0, 100),
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),
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[
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[-100, 50, -80, 70],
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[-10, 50, 20, 70],
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[100, 50, 120, 70],
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],
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[False, False, True],
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[False, False, False],
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),
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(
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Vector(
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Point(0, 0),
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Point(100, 100),
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),
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[
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[50, 45, 70, 30],
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[40, 50, 50, 40],
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[0, 50, 10, 40],
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],
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[False, False, False],
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[False, False, True],
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),
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(
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Vector(
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Point(0, 0),
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Point(100, 0),
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),
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[
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[50, -45, 70, -30],
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[40, 50, 50, 40],
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],
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[False, False],
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[False, True],
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),
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(
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Vector(
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Point(0, 0),
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Point(0, -100),
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),
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[
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[100, -50, 120, -70],
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[-100, -50, -80, -70],
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],
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[False, True],
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[False, False],
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),
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(
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Vector(
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Point(0, 0),
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Point(50, 100),
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),
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[
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[50, 50, 70, 30],
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[40, 50, 50, 40],
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[0, 50, 10, 40],
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],
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[False, False, False],
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[False, False, True],
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),
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(
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Vector(
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Point(0, 0),
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Point(0, 100),
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),
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[
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[100, 50, 120, 70],
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[-100, 50, -80, 70],
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[100, 50, 120, 70],
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[-100, 50, -80, 70],
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[100, 50, 120, 70],
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[-100, 50, -80, 70],
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[100, 50, 120, 70],
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[-100, 50, -80, 70],
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],
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[False, False, True, False, True, False, True, False],
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[False, True, False, True, False, True, False, True],
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),
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(
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Vector(
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Point(0, 0),
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Point(-100, 0),
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),
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[
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[-50, 70, -40, 50],
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[-50, -70, -40, -50],
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[-50, 70, -40, 50],
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[-50, -70, -40, -50],
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[-50, 70, -40, 50],
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[-50, -70, -40, -50],
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[-50, 70, -40, 50],
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[-50, -70, -40, -50],
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],
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[False, False, True, False, True, False, True, False],
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[False, True, False, True, False, True, False, True],
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),
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],
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)
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def test_line_zone_single_detection(
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vector, bbox_sequence, expected_count_in: List[bool], expected_count_out: List[bool]
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) -> None:
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line_zone = LineZone(start=vector.start, end=vector.end)
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for i, bbox in enumerate(bbox_sequence):
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detections = mock_detections(
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xyxy=[bbox],
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tracker_id=[i for i in range(0, 1)],
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)
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count_in, count_out = line_zone.trigger(detections)
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assert count_in[0] == expected_count_in[i]
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assert count_out[0] == expected_count_out[i]
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assert line_zone.in_count == sum(expected_count_in[: (i + 1)])
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assert line_zone.out_count == sum(expected_count_out[: (i + 1)])
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@pytest.mark.parametrize(
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"vector, bbox_sequence, expected_count_in, expected_count_out, crossing_anchors",
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[
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(
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Vector(
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Point(0, 0),
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Point(100, 100),
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),
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[
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[50, 30, 60, 20],
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[20, 50, 40, 30],
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],
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[False, False],
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[False, True],
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[Position.TOP_LEFT, Position.TOP_RIGHT, Position.BOTTOM_LEFT],
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),
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(
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Vector(
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Point(0, 0),
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Point(0, 100),
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),
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[
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[-100, 50, -80, 70],
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[-100, 50, 120, 70],
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],
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[False, True],
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[False, False],
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[Position.TOP_RIGHT, Position.BOTTOM_RIGHT],
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),
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],
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)
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def test_line_zone_single_detection_on_subset_of_anchors(
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vector,
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bbox_sequence,
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expected_count_in: List[bool],
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expected_count_out: List[bool],
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crossing_anchors,
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) -> None:
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def powerset(s):
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return chain.from_iterable(combinations(s, r) for r in range(len(s) + 1))
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for anchors in powerset(
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[
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Position.TOP_LEFT,
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Position.TOP_RIGHT,
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Position.BOTTOM_LEFT,
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Position.BOTTOM_RIGHT,
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]
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):
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if not anchors:
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continue
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line_zone = LineZone(
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start=vector.start, end=vector.end, triggering_anchors=anchors
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)
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for i, bbox in enumerate(bbox_sequence):
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detections = mock_detections(
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xyxy=[bbox],
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tracker_id=[i for i in range(0, 1)],
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)
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count_in, count_out = line_zone.trigger(detections)
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if all(anchor in crossing_anchors for anchor in anchors):
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assert count_in == expected_count_in[i]
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assert count_out == expected_count_out[i]
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else:
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assert np.all(not count_in)
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assert np.all(not count_out)
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@pytest.mark.parametrize(
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"vector, bbox_sequence, expected_count_in, expected_count_out",
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[
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(
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Vector(
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Point(0, 0),
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Point(0, 100),
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),
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[
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[[100, 50, 120, 70], [100, 50, 120, 70]],
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[[-100, 50, -80, 70], [100, 50, 120, 70]],
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[[100, 50, 120, 70], [100, 50, 120, 70]],
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],
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[[False, False], [False, False], [True, False]],
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[[False, False], [True, False], [False, False]],
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),
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(
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Vector(
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Point(0, 0),
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Point(-100, 0),
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),
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[
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[[-50, 70, -40, 50], [-80, -50, -70, -40]],
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[[-50, -70, -40, -50], [-80, 50, -70, 40]],
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[[-50, 70, -40, 50], [-80, 50, -70, 40]],
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[[-50, -70, -40, -50], [-80, 50, -70, 40]],
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[[-50, 70, -40, 50], [-80, 50, -70, 40]],
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[[-50, -70, -40, -50], [-80, 50, -70, 40]],
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[[-50, 70, -40, 50], [-80, 50, -70, 40]],
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[[-50, -70, -40, -50], [-80, -50, -70, -40]],
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],
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[
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(False, False),
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(False, True),
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(True, False),
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(False, False),
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(True, False),
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(False, False),
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(True, False),
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(False, False),
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],
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[
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(False, False),
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(True, False),
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(False, False),
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(True, False),
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(False, False),
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(True, False),
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(False, False),
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(True, True),
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],
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),
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],
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)
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def test_line_zone_multiple_detections(
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vector, bbox_sequence, expected_count_in: List[bool], expected_count_out: List[bool]
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) -> None:
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line_zone = LineZone(start=vector.start, end=vector.end)
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for i, bboxes in enumerate(bbox_sequence):
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detections = mock_detections(
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xyxy=bboxes,
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tracker_id=[i for i in range(0, len(bboxes))],
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)
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count_in, count_out = line_zone.trigger(detections)
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assert np.all(count_in == expected_count_in[i])
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assert np.all(count_out == expected_count_out[i])
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@pytest.mark.parametrize(
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"vector, bbox_sequence",
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[
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(
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Vector(
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Point(0, 0),
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Point(0, 100),
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),
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[
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[100, 50, 120, 70],
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[-100, 50, -80, 70],
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],
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),
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(
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Vector(
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Point(0, 0),
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Point(0, 100),
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),
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[
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[-100, 50, -80, 70],
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[100, 50, 120, 70],
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],
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),
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],
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)
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def test_line_zone_does_not_count_detections_without_tracker_id(vector, bbox_sequence):
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line_zone = LineZone(start=vector.start, end=vector.end)
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for bbox in bbox_sequence:
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detections = Detections(
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xyxy=np.array([bbox]).reshape((-1, 4)),
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tracker_id=np.array([None for _ in range(0, 1)]),
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)
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count_in, count_out = line_zone.trigger(detections)
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assert np.all(not count_in)
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assert np.all(not count_out)
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