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47 lines
1.6 KiB
C++
47 lines
1.6 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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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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TEST(Features2d_SIFT, descriptor_type)
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{
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Mat image = imread(cvtest::findDataFile("features2d/tsukuba.png"));
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ASSERT_FALSE(image.empty());
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Mat gray;
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cvtColor(image, gray, COLOR_BGR2GRAY);
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vector<KeyPoint> keypoints;
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Mat descriptorsFloat, descriptorsUchar;
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Ptr<SIFT> siftFloat = cv::SIFT::create(0, 3, 0.04, 10, 1.6, CV_32F);
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siftFloat->detectAndCompute(gray, Mat(), keypoints, descriptorsFloat, false);
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ASSERT_EQ(descriptorsFloat.type(), CV_32F) << "type mismatch";
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Ptr<SIFT> siftUchar = cv::SIFT::create(0, 3, 0.04, 10, 1.6, CV_8U);
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siftUchar->detectAndCompute(gray, Mat(), keypoints, descriptorsUchar, false);
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ASSERT_EQ(descriptorsUchar.type(), CV_8U) << "type mismatch";
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Mat descriptorsFloat2;
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descriptorsUchar.assignTo(descriptorsFloat2, CV_32F);
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Mat diff = descriptorsFloat != descriptorsFloat2;
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ASSERT_EQ(countNonZero(diff), 0) << "descriptors are not identical";
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}
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TEST(Features2d_SIFT, regression_26139)
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{
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auto extractor = cv::SIFT::create();
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cv::Mat1b image{cv::Size{300, 300}, 0};
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std::vector<cv::KeyPoint> kps {
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cv::KeyPoint(154.076813f, 136.160904f, 111.078636f, 216.195618f, 0.00000899323549f, 7)
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};
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cv::Mat descriptors;
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extractor->compute(image, kps, descriptors); // we expect no memory corruption
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ASSERT_EQ(descriptors.size(), Size(128, 1));
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}
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}} // namespace
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