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d3e7968927
imgproc: add contour values check to IntelligentScissorsMB tests Preparation for the #21959 changes as per @asmorkalov's https://github.com/opencv/opencv/pull/21959#issuecomment-1560511500 suggestion. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
497 lines
12 KiB
C++
497 lines
12 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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//#include "opencv2/imgproc/segmentation.hpp"
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namespace opencv_test { namespace {
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Mat getTestImageGray()
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{
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static Mat m;
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if (m.empty())
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{
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m = imread(findDataFile("shared/lena.png"), IMREAD_GRAYSCALE);
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}
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return m.clone();
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}
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Mat getTestImageColor()
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{
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static Mat m;
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if (m.empty())
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{
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m = imread(findDataFile("shared/lena.png"), IMREAD_COLOR);
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}
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return m.clone();
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}
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Mat getTestImage1()
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{
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static Mat m;
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if (m.empty())
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{
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m.create(Size(200, 100), CV_8UC1);
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m.setTo(Scalar::all(128));
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Rect roi(50, 30, 100, 40);
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m(roi).setTo(Scalar::all(0));
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#if 0
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imshow("image", m);
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waitKey();
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#endif
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}
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return m.clone();
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}
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Mat getTestImage2()
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{
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static Mat m;
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if (m.empty())
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{
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m.create(Size(200, 100), CV_8UC1);
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m.setTo(Scalar::all(128));
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Rect roi(40, 30, 100, 40);
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m(roi).setTo(Scalar::all(255));
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#if 0
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imshow("image", m);
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waitKey();
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#endif
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}
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return m.clone();
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}
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Mat getTestImage3()
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{
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static Mat m;
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if (m.empty())
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{
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m.create(Size(200, 100), CV_8UC1);
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m.setTo(Scalar::all(128));
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Scalar color(0,0,0,0);
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line(m, Point(30, 50), Point(50, 50), color, 1);
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line(m, Point(50, 50), Point(80, 30), color, 1);
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line(m, Point(150, 50), Point(80, 30), color, 1);
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line(m, Point(150, 50), Point(180, 50), color, 1);
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line(m, Point(80, 10), Point(80, 90), Scalar::all(200), 1);
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line(m, Point(100, 10), Point(100, 90), Scalar::all(200), 1);
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line(m, Point(120, 10), Point(120, 90), Scalar::all(200), 1);
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#if 0
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imshow("image", m);
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waitKey();
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#endif
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}
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return m.clone();
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}
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Mat getTestImage4()
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{
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static Mat m;
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if (m.empty())
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{
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m.create(Size(200, 100), CV_8UC1);
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for (int y = 0; y < m.rows; y++)
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{
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for (int x = 0; x < m.cols; x++)
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{
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float dx = (float)(x - 100);
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float dy = (float)(y - 100);
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float d = sqrtf(dx * dx + dy * dy);
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m.at<uchar>(y, x) = saturate_cast<uchar>(100 + 100 * sin(d / 10 * CV_PI));
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}
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}
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#if 0
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imshow("image", m);
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waitKey();
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#endif
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}
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return m.clone();
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}
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Mat getTestImage5()
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{
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static Mat m;
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if (m.empty())
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{
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m.create(Size(200, 100), CV_8UC1);
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for (int y = 0; y < m.rows; y++)
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{
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for (int x = 0; x < m.cols; x++)
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{
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float dx = (float)(x - 100);
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float dy = (float)(y - 100);
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float d = sqrtf(dx * dx + dy * dy);
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m.at<uchar>(y, x) = saturate_cast<uchar>(x / 2 + 100 * sin(d / 10 * CV_PI));
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}
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}
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#if 0
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imshow("image", m);
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waitKey();
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#endif
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}
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return m.clone();
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}
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void show(const Mat& img, const std::vector<Point> pts)
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{
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if (cvtest::debugLevel >= 10)
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{
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Mat dst = img.clone();
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std::vector< std::vector<Point> > contours;
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contours.push_back(pts);
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polylines(dst, contours, false, Scalar::all(255));
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imshow("dst", dst);
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waitKey();
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}
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}
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Size estimateContourSize(const std::vector<Point>& pts)
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{
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Size s(0,0);
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for (size_t i = 0; i < pts.size(); i++)
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{
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if (s.width < pts[i].x)
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s.width = pts[i].x;
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if (s.height < pts[i].y)
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s.height = pts[i].y;
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}
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return s;
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}
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int contoursAreaPixelsMismatch(const std::vector<Point>& pts, const std::vector<Point>& gt)
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{
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Size ptsSize = estimateContourSize(pts);
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Size gtSize = estimateContourSize(gt);
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Size imgSize(std::max(ptsSize.width, gtSize.width)+1, std::max(ptsSize.height, gtSize.height)+1);
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Mat ptsArea = Mat::zeros(imgSize, CV_8UC1);
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Mat gtArea = Mat::zeros(imgSize, CV_8UC1);
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std::vector<std::vector<Point>> pts_wrapped = {pts};
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std::vector<std::vector<Point>> gt_wrapped = {gt};
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drawContours(ptsArea, pts_wrapped, -1, Scalar(255), FILLED);
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drawContours(gtArea, gt_wrapped, -1, Scalar(255), FILLED);
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Mat uni = ptsArea | gtArea;
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Mat intersection = ptsArea & gtArea;
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bitwise_not(intersection, intersection);
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Mat delta = uni & intersection;
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return countNonZero(delta);
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}
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void checkContour(std::vector<Point>& pts,
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const bool backward = false,
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int allowed_mismatch = 0)
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{
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const ::testing::TestInfo* const test_info = ::testing::UnitTest::GetInstance()->current_test_info();
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CV_Assert(test_info);
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const std::string name = std::string(cvtest::TS::ptr()->get_data_path() + "imgproc/" + test_info->test_case_name() + "-" + test_info->name() + (backward ? "-backward" : "") + ".xml");
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std::vector<Point> reference_pts;
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#ifdef GENERATE_TEST_DATA
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{
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cv::FileStorage fs(name, cv::FileStorage::WRITE);
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fs << "pts" << pts;
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}
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reference_pts = pts;
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#else
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FileStorage fs(name, FileStorage::READ);
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read(fs["pts"], reference_pts, std::vector<Point>());
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#endif
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if (!allowed_mismatch)
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EXPECT_EQ(pts, reference_pts);
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else
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EXPECT_LE(contoursAreaPixelsMismatch(pts, reference_pts), allowed_mismatch);
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}
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TEST(Imgproc_IntelligentScissorsMB, rect)
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{
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segmentation::IntelligentScissorsMB tool;
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Mat image = getTestImage1();
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tool.applyImage(image);
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Point source_point(50, 30);
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tool.buildMap(source_point);
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Point target_point(100, 30);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts);
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show(image, pts);
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Mat image2 = getTestImage2();
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tool.applyImage(image2);
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tool.buildMap(source_point);
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std::vector<Point> pts2;
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tool.getContour(target_point, pts2, true/*backward*/);
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checkContour(pts2, true/*backward*/);
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show(image2, pts2);
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}
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TEST(Imgproc_IntelligentScissorsMB, lines)
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{
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segmentation::IntelligentScissorsMB tool;
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Mat image = getTestImage3();
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tool.applyImage(image);
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Point source_point(30, 50);
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tool.buildMap(source_point);
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Point target_point(150, 50);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, circles)
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{
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segmentation::IntelligentScissorsMB tool;
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tool.setGradientMagnitudeMaxLimit(10);
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Mat image = getTestImage4();
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tool.applyImage(image);
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Point source_point(50, 50);
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tool.buildMap(source_point);
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Point target_point(150, 50);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, circles_gradient)
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{
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segmentation::IntelligentScissorsMB tool;
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Mat image = getTestImage5();
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tool.applyImage(image);
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Point source_point(50, 50);
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tool.buildMap(source_point);
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Point target_point(150, 50);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, grayscale)
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{
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segmentation::IntelligentScissorsMB tool;
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Mat image = getTestImageGray();
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tool.applyImage(image);
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Point source_point(275, 63);
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tool.buildMap(source_point);
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Point target_point(413, 155);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts, false, 2);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_1_0_0_zerro_crossing_with_limit)
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{
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segmentation::IntelligentScissorsMB tool;
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tool.setEdgeFeatureZeroCrossingParameters(64);
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tool.setWeights(1.0f, 0.0f, 0.0f);
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Mat image = getTestImageGray();
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tool.applyImage(image);
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Point source_point(275, 63);
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tool.buildMap(source_point);
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Point target_point(413, 155);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts, false, 11);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_1_0_0_canny)
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{
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segmentation::IntelligentScissorsMB tool;
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tool.setEdgeFeatureCannyParameters(50, 100);
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tool.setWeights(1.0f, 0.0f, 0.0f);
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Mat image = getTestImageGray();
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tool.applyImage(image);
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Point source_point(275, 63);
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tool.buildMap(source_point);
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Point target_point(413, 155);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts, false, 6);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_0_1_0)
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{
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segmentation::IntelligentScissorsMB tool;
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tool.setWeights(0.0f, 1.0f, 0.0f);
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Mat image = getTestImageGray();
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tool.applyImage(image);
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Point source_point(275, 63);
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tool.buildMap(source_point);
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Point target_point(413, 155);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts, false, 4);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_0_0_1)
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{
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segmentation::IntelligentScissorsMB tool;
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tool.setWeights(0.0f, 0.0f, 1.0f);
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Mat image = getTestImageGray();
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tool.applyImage(image);
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Point source_point(275, 63);
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tool.buildMap(source_point);
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Point target_point(413, 155);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts, false, 2);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, color)
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{
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segmentation::IntelligentScissorsMB tool;
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Mat image = getTestImageColor();
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tool.applyImage(image);
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Point source_point(275, 63);
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tool.buildMap(source_point);
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Point target_point(413, 155);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts, false, 2);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, color_canny)
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{
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segmentation::IntelligentScissorsMB tool;
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tool.setEdgeFeatureCannyParameters(32, 100);
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Mat image = getTestImageColor();
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tool.applyImage(image);
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Point source_point(275, 63);
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tool.buildMap(source_point);
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Point target_point(413, 155);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts, false, 2);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, color_custom_features_invalid)
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{
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segmentation::IntelligentScissorsMB tool;
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ASSERT_ANY_THROW(tool.applyImageFeatures(noArray(), noArray(), noArray()));
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}
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TEST(Imgproc_IntelligentScissorsMB, color_custom_features_edge)
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{
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segmentation::IntelligentScissorsMB tool;
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Mat image = getTestImageColor();
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Mat canny_edges;
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Canny(image, canny_edges, 32, 100, 5);
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Mat binary_edge_feature;
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cv::threshold(canny_edges, binary_edge_feature, 254, 1, THRESH_BINARY_INV);
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tool.applyImageFeatures(binary_edge_feature, noArray(), noArray(), image);
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Point source_point(275, 63);
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tool.buildMap(source_point);
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Point target_point(413, 155);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts, false, 2);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, color_custom_features_all)
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{
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segmentation::IntelligentScissorsMB tool;
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tool.setWeights(0.9f, 0.0f, 0.1f);
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Mat image = getTestImageColor();
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Mat canny_edges;
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Canny(image, canny_edges, 50, 100, 5);
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Mat binary_edge_feature; // 0, 1 values
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cv::threshold(canny_edges, binary_edge_feature, 254, 1, THRESH_BINARY_INV);
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Mat_<Point2f> gradient_direction(image.size(), Point2f(0, 0)); // normalized
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Mat_<float> gradient_magnitude(image.size(), 0); // cost function
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tool.applyImageFeatures(binary_edge_feature, gradient_direction, gradient_magnitude);
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Point source_point(275, 63);
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tool.buildMap(source_point);
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Point target_point(413, 155);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts, false, 9);
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show(image, pts);
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}
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TEST(Imgproc_IntelligentScissorsMB, color_custom_features_edge_magnitude)
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{
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segmentation::IntelligentScissorsMB tool;
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tool.setWeights(0.9f, 0.0f, 0.1f);
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Mat image = getTestImageColor();
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Mat canny_edges;
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Canny(image, canny_edges, 50, 100, 5);
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Mat binary_edge_feature; // 0, 1 values
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cv::threshold(canny_edges, binary_edge_feature, 254, 1, THRESH_BINARY_INV);
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Mat_<float> gradient_magnitude(image.size(), 0); // cost function
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tool.applyImageFeatures(binary_edge_feature, noArray(), gradient_magnitude);
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Point source_point(275, 63);
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tool.buildMap(source_point);
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Point target_point(413, 155);
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std::vector<Point> pts;
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tool.getContour(target_point, pts);
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checkContour(pts, false, 9);
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show(image, pts);
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}
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}} // namespace
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