103 lines
3.3 KiB
Python
103 lines
3.3 KiB
Python
from __future__ import annotations
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from contextlib import ExitStack as DoesNotRaise
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import numpy as np
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import pytest
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from supervision.detection.utils.polygons import filter_polygons_by_area
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@pytest.mark.parametrize(
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"polygons, min_area, max_area, expected_result, exception",
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[
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(
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[np.array([[0, 0], [0, 10], [10, 10], [10, 0]])],
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None,
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None,
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[np.array([[0, 0], [0, 10], [10, 10], [10, 0]])],
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DoesNotRaise(),
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), # single polygon without area constraints
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(
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[np.array([[0, 0], [0, 10], [10, 10], [10, 0]])],
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50,
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None,
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[np.array([[0, 0], [0, 10], [10, 10], [10, 0]])],
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DoesNotRaise(),
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), # single polygon with min_area constraint
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(
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[np.array([[0, 0], [0, 10], [10, 10], [10, 0]])],
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None,
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50,
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[],
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DoesNotRaise(),
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), # single polygon with max_area constraint
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(
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[
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np.array([[0, 0], [0, 10], [10, 10], [10, 0]]),
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np.array([[0, 0], [0, 20], [20, 20], [20, 0]]),
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],
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200,
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None,
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[np.array([[0, 0], [0, 20], [20, 20], [20, 0]])],
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DoesNotRaise(),
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), # two polygons with min_area constraint
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(
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[
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np.array([[0, 0], [0, 10], [10, 10], [10, 0]]),
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np.array([[0, 0], [0, 20], [20, 20], [20, 0]]),
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],
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None,
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200,
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[np.array([[0, 0], [0, 10], [10, 10], [10, 0]])],
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DoesNotRaise(),
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), # two polygons with max_area constraint
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(
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[
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np.array([[0, 0], [0, 10], [10, 10], [10, 0]]),
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np.array([[0, 0], [0, 20], [20, 20], [20, 0]]),
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],
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200,
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200,
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[],
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DoesNotRaise(),
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), # two polygons with both area constraints
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(
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[
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np.array([[0, 0], [0, 10], [10, 10], [10, 0]]),
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np.array([[0, 0], [0, 20], [20, 20], [20, 0]]),
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],
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100,
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100,
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[np.array([[0, 0], [0, 10], [10, 10], [10, 0]])],
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DoesNotRaise(),
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), # two polygons with min_area and
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# max_area equal to the area of the first polygon
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(
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[
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np.array([[0, 0], [0, 10], [10, 10], [10, 0]]),
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np.array([[0, 0], [0, 20], [20, 20], [20, 0]]),
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],
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400,
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400,
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[np.array([[0, 0], [0, 20], [20, 20], [20, 0]])],
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DoesNotRaise(),
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), # two polygons with min_area and
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# max_area equal to the area of the second polygon
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],
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)
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def test_filter_polygons_by_area(
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polygons: list[np.ndarray],
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min_area: float | None,
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max_area: float | None,
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expected_result: list[np.ndarray],
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exception: Exception,
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) -> None:
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with exception:
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result = filter_polygons_by_area(
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polygons=polygons, min_area=min_area, max_area=max_area
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)
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assert len(result) == len(expected_result)
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for result_polygon, expected_result_polygon in zip(result, expected_result):
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assert np.array_equal(result_polygon, expected_result_polygon)
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