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
39 lines
1.2 KiB
C++
39 lines
1.2 KiB
C++
// This file is part of OpenCV project.
|
|
// It is subject to the license terms in the LICENSE file found in the top-level directory
|
|
// of this distribution and at http://opencv.org/license.html.
|
|
#include "test_precomp.hpp"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
TEST(Features2D_KeypointUtils, retainBest_issue_12594)
|
|
{
|
|
const size_t N = 9;
|
|
|
|
// Construct 4-way tie for 3rd highest - correct answer for "3 best" is 6
|
|
const float no_problem[] = { 5.0f, 4.0f, 1.0f, 2.0f, 0.0f, 3.0f, 3.0f, 3.0f, 3.0f };
|
|
|
|
// Same set, different order that exposes partial sort property of std::nth_element
|
|
// Note: the problem case may depend on your particular implementation of STL
|
|
const float problem[] = { 3.0f, 3.0f, 3.0f, 3.0f, 4.0f, 5.0f, 0.0f, 1.0f, 2.0f };
|
|
|
|
const size_t NBEST = 3u;
|
|
const size_t ANSWER = 6u;
|
|
|
|
std::vector<cv::KeyPoint> sorted_cv(N);
|
|
std::vector<cv::KeyPoint> unsorted_cv(N);
|
|
|
|
for (size_t i = 0; i < N; ++i)
|
|
{
|
|
sorted_cv[i].response = no_problem[i];
|
|
unsorted_cv[i].response = problem[i];
|
|
}
|
|
|
|
cv::KeyPointsFilter::retainBest(sorted_cv, NBEST);
|
|
cv::KeyPointsFilter::retainBest(unsorted_cv, NBEST);
|
|
|
|
EXPECT_EQ(ANSWER, sorted_cv.size());
|
|
EXPECT_EQ(ANSWER, unsorted_cv.size());
|
|
}
|
|
|
|
}} // namespace
|