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# Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pytest
import torch
from mmcv.ops import min_area_polygons
np_pointsets = np.asarray([[
1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0, 1.0, 1.0, 3.0, 3.0, 1.0, 2.0, 3.0, 3.0,
2.0, 1.5, 1.5
],
[
1.0, 1.0, 8.0, 8.0, 1.0, 2.0, 2.0, 1.0, 1.0,
3.0, 3.0, 1.0, 2.0, 3.0, 3.0, 2.0, 1.5, 1.5
]])
expected_polygons = np.asarray(
[[3.0000, 1.0000, 1.0000, 1.0000, 1.0000, 3.0000, 3.0000, 3.0000],
[8.0, 8.0, 2.3243, 0.0541, 0.0541, 1.6757, 5.7297, 9.6216]])
@pytest.mark.skipif(
not torch.cuda.is_available(), reason='requires CUDA support')
def test_min_area_polygons():
pointsets = torch.from_numpy(np_pointsets).cuda().float()
assert np.allclose(
min_area_polygons(pointsets).cpu().numpy(),
expected_polygons,
atol=1e-4)
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