718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
79 lines
3.1 KiB
C++
79 lines
3.1 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2018, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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static
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Mat getReference_DrawKeypoint(int cn)
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{
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static Mat ref = (Mat_<uint8_t>(11, 11) <<
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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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1, 1, 1, 1, 15, 54, 15, 1, 1, 1, 1,
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1, 1, 1, 76, 217, 217, 221, 81, 1, 1, 1,
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1, 1, 100, 224, 111, 57, 115, 225, 101, 1, 1,
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1, 44, 215, 100, 1, 1, 1, 101, 214, 44, 1,
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1, 54, 212, 57, 1, 1, 1, 55, 212, 55, 1,
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1, 40, 215, 104, 1, 1, 1, 105, 215, 40, 1,
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1, 1, 102, 221, 111, 55, 115, 222, 103, 1, 1,
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1, 1, 1, 76, 218, 217, 220, 81, 1, 1, 1,
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1, 1, 1, 1, 15, 55, 15, 1, 1, 1, 1,
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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1);
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Mat res;
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cvtColor(ref, res, (cn == 4) ? COLOR_GRAY2BGRA : COLOR_GRAY2BGR);
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return res;
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}
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typedef testing::TestWithParam<MatType> Features2D_drawKeypoints;
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TEST_P(Features2D_drawKeypoints, Accuracy)
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{
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const int cn = CV_MAT_CN(GetParam());
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Mat inpImg(11, 11, GetParam(), Scalar(1, 1, 1, 255)), outImg;
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std::vector<KeyPoint> keypoints(1, KeyPoint(5, 5, 1));
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drawKeypoints(inpImg, keypoints, outImg, Scalar::all(255));
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ASSERT_EQ(outImg.channels(), (cn == 4) ? 4 : 3);
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Mat ref_ = getReference_DrawKeypoint(cn);
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EXPECT_EQ(0, cv::norm(outImg, ref_, NORM_INF));
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}
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INSTANTIATE_TEST_CASE_P(/**/, Features2D_drawKeypoints, Values(CV_8UC1, CV_8UC3, CV_8UC4));
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typedef testing::TestWithParam<tuple<MatType, MatType> > Features2D_drawMatches;
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TEST_P(Features2D_drawMatches, Accuracy)
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{
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Mat inpImg1(11, 11, get<0>(GetParam()), Scalar(1, 1, 1, 255));
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Mat inpImg2(11, 11, get<1>(GetParam()), Scalar(2, 2, 2, 255)), outImg2, outImg;
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std::vector<KeyPoint> keypoints(1, KeyPoint(5, 5, 1));
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// Get outImg2 using drawKeypoints assuming that it works correctly (see the test above).
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drawKeypoints(inpImg2, keypoints, outImg2, Scalar::all(255));
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ASSERT_EQ(outImg2.channels(), (inpImg2.channels() == 4) ? 4 : 3);
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// Merge both references.
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const int cn = max(3, max(inpImg1.channels(), inpImg2.channels()));
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if (cn == 4 && outImg2.channels() == 3)
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cvtColor(outImg2, outImg2, COLOR_BGR2BGRA);
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Mat ref_ = getReference_DrawKeypoint(cn);
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Mat concattedRef;
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hconcat(ref_, outImg2, concattedRef);
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std::vector<DMatch> matches;
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drawMatches(inpImg1, keypoints, inpImg2, keypoints, matches, outImg,
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Scalar::all(255), Scalar::all(255));
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ASSERT_EQ(outImg.channels(), cn);
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EXPECT_EQ(0, cv::norm(outImg, concattedRef, NORM_INF));
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}
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INSTANTIATE_TEST_CASE_P(/**/, Features2D_drawMatches, Combine(
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Values(CV_8UC1, CV_8UC3, CV_8UC4),
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Values(CV_8UC1, CV_8UC3, CV_8UC4)
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));
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}} // namespace
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