deepin-ocr/3rdparty/opencv-4.5.4/modules/features2d/test/test_sift.cpp
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
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
2022-05-10 10:22:11 +08:00

35 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_SIFT, descriptor_type)
{
Mat image = imread(cvtest::findDataFile("features2d/tsukuba.png"));
ASSERT_FALSE(image.empty());
Mat gray;
cvtColor(image, gray, COLOR_BGR2GRAY);
vector<KeyPoint> keypoints;
Mat descriptorsFloat, descriptorsUchar;
Ptr<SIFT> siftFloat = cv::SIFT::create(0, 3, 0.04, 10, 1.6, CV_32F);
siftFloat->detectAndCompute(gray, Mat(), keypoints, descriptorsFloat, false);
ASSERT_EQ(descriptorsFloat.type(), CV_32F) << "type mismatch";
Ptr<SIFT> siftUchar = cv::SIFT::create(0, 3, 0.04, 10, 1.6, CV_8U);
siftUchar->detectAndCompute(gray, Mat(), keypoints, descriptorsUchar, false);
ASSERT_EQ(descriptorsUchar.type(), CV_8U) << "type mismatch";
Mat descriptorsFloat2;
descriptorsUchar.assignTo(descriptorsFloat2, CV_32F);
Mat diff = descriptorsFloat != descriptorsFloat2;
ASSERT_EQ(countNonZero(diff), 0) << "descriptors are not identical";
}
}} // namespace