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0b4285d959
* [Docs] Add swith_language.md in docs (#2160) * [Fix] Fix onnx unit tests (#2155) * [Docs] Limit extension versions (#2144) * Support PrRoIPool operation * Add MPS bbox overlap * Add .pre-commit-config-zh-cn.yaml (#2135) Co-authored-by: xcnick <xcnick0412@gmail.com> Co-authored-by: Jingwei Zhang <zjw18@mails.tsinghua.edu.cn> Co-authored-by: q.yao <yaoqian@sensetime.com>
67 lines
2.7 KiB
Python
67 lines
2.7 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import numpy as np
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import pytest
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import torch
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from mmcv.utils import IS_CUDA_AVAILABLE, IS_MLU_AVAILABLE, IS_MPS_AVAILABLE
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class TestBBox:
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def _test_bbox_overlaps(self, device='cpu', dtype=torch.float):
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from mmcv.ops import bbox_overlaps
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b1 = torch.tensor([[1.0, 1.0, 3.0, 4.0], [2.0, 2.0, 3.0, 4.0],
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[7.0, 7.0, 8.0, 8.0]]).to(device).type(dtype)
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b2 = torch.tensor([[0.0, 2.0, 2.0, 5.0], [2.0, 1.0, 3.0,
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3.0]]).to(device).type(dtype)
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should_output = np.array([[0.33333334, 0.5], [0.2, 0.5], [0.0, 0.0]])
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out = bbox_overlaps(b1, b2, offset=1)
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assert np.allclose(out.cpu().numpy(), should_output, 1e-2)
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b1 = torch.tensor([[1.0, 1.0, 3.0, 4.0], [2.0, 2.0, 3.0,
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4.0]]).to(device).type(dtype)
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b2 = torch.tensor([[0.0, 2.0, 2.0, 5.0], [2.0, 1.0, 3.0,
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3.0]]).to(device).type(dtype)
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should_output = np.array([0.33333334, 0.5])
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out = bbox_overlaps(b1, b2, aligned=True, offset=1)
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assert np.allclose(out.cpu().numpy(), should_output, 1e-2)
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b1 = torch.tensor([[0.0, 0.0, 3.0, 3.0]]).to(device).type(dtype)
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b2 = torch.tensor([[4.0, 0.0, 5.0, 3.0], [3.0, 0.0, 4.0, 3.0],
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[2.0, 0.0, 3.0, 3.0], [1.0, 0.0, 2.0,
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3.0]]).to(device).type(dtype)
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should_output = np.array([0, 0.2, 0.5, 0.5])
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out = bbox_overlaps(b1, b2, offset=1)
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assert np.allclose(out.cpu().numpy(), should_output, 1e-2)
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@pytest.mark.parametrize('device', [
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'cpu',
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pytest.param(
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'cuda',
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marks=pytest.mark.skipif(
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not IS_CUDA_AVAILABLE, reason='requires CUDA support')),
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pytest.param(
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'mlu',
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marks=pytest.mark.skipif(
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not IS_MLU_AVAILABLE, reason='requires MLU support')),
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pytest.param(
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'mps',
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marks=pytest.mark.skipif(
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not IS_MPS_AVAILABLE, reason='requires MPS support'))
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])
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def test_bbox_overlaps_float(self, device):
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self._test_bbox_overlaps(device, dtype=torch.float)
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@pytest.mark.parametrize('device', [
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pytest.param(
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'cuda',
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marks=pytest.mark.skipif(
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not IS_CUDA_AVAILABLE, reason='requires CUDA support')),
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pytest.param(
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'mlu',
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marks=pytest.mark.skipif(
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not IS_MLU_AVAILABLE, reason='requires MLU support'))
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])
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def test_bbox_overlaps_half(self, device):
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self._test_bbox_overlaps(device, dtype=torch.half)
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