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Geometry module #29175 OpenCV Contrib: https://github.com/opencv/opencv_contrib/pull/4129 CI changes: https://github.com/opencv/ci-gha-workflow/pull/313 Continues - https://github.com/opencv/opencv/pull/28804 - https://github.com/opencv/opencv/pull/29101 - https://github.com/opencv/opencv/pull/29108 - https://github.com/opencv/opencv/pull/28810 Todo for followup PRs: - [x] Rename doxygen groups - [x] Fix JS modules layout and whitelists - [ ] Sort tutorials code/snippets ### 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 - [ ] 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
100 lines
3.4 KiB
Java
100 lines
3.4 KiB
Java
package org.opencv.test.objdetect;
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import java.util.ArrayList;
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import org.opencv.core.Core;
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import org.opencv.core.CvType;
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import org.opencv.core.Mat;
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import org.opencv.core.MatOfDouble;
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import org.opencv.core.MatOfPoint2f;
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import org.opencv.core.MatOfPoint3f;
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import org.opencv.core.Point;
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import org.opencv.core.Scalar;
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import org.opencv.core.Size;
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import org.opencv.objdetect.Objdetect;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.imgproc.Imgproc;
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public class ObjdetectTest extends OpenCVTestCase {
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Size size;
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@Override
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protected void setUp() throws Exception {
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super.setUp();
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size = new Size(3, 3);
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}
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public void testFindChessboardCornersMatSizeMat() {
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Size patternSize = new Size(9, 6);
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MatOfPoint2f corners = new MatOfPoint2f();
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Objdetect.findChessboardCorners(grayChess, patternSize, corners);
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assertFalse(corners.empty());
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}
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public void testFindChessboardCornersMatSizeMatInt() {
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Size patternSize = new Size(9, 6);
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MatOfPoint2f corners = new MatOfPoint2f();
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Objdetect.findChessboardCorners(grayChess, patternSize, corners, Objdetect.CALIB_CB_ADAPTIVE_THRESH + Objdetect.CALIB_CB_NORMALIZE_IMAGE
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+ Objdetect.CALIB_CB_FAST_CHECK);
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assertFalse(corners.empty());
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}
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public void testFind4QuadCornerSubpix() {
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Size patternSize = new Size(9, 6);
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MatOfPoint2f corners = new MatOfPoint2f();
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Size region_size = new Size(5, 5);
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Objdetect.findChessboardCorners(grayChess, patternSize, corners);
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Objdetect.find4QuadCornerSubpix(grayChess, corners, region_size);
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assertFalse(corners.empty());
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}
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public void testFindCirclesGridMatSizeMat() {
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int size = 300;
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Mat img = new Mat(size, size, CvType.CV_8U);
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img.setTo(new Scalar(255));
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Mat centers = new Mat();
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assertFalse(Objdetect.findCirclesGrid(img, new Size(5, 5), centers));
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for (int i = 0; i < 5; i++)
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for (int j = 0; j < 5; j++) {
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Point pt = new Point(size * (2 * i + 1) / 10, size * (2 * j + 1) / 10);
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Imgproc.circle(img, pt, 10, new Scalar(0), -1);
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}
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assertTrue(Objdetect.findCirclesGrid(img, new Size(5, 5), centers));
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assertEquals(1, centers.rows());
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assertEquals(25, centers.cols());
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assertEquals(CvType.CV_32FC2, centers.type());
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}
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public void testFindCirclesGridMatSizeMatInt() {
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int size = 300;
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Mat img = new Mat(size, size, CvType.CV_8U);
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img.setTo(new Scalar(255));
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Mat centers = new Mat();
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assertFalse(Objdetect.findCirclesGrid(img, new Size(3, 5), centers, Objdetect.CALIB_CB_CLUSTERING
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| Objdetect.CALIB_CB_ASYMMETRIC_GRID));
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int step = size * 2 / 15;
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int offsetx = size / 6;
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int offsety = (size - 4 * step) / 2;
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for (int i = 0; i < 3; i++)
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for (int j = 0; j < 5; j++) {
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Point pt = new Point(offsetx + (2 * i + j % 2) * step, offsety + step * j);
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Imgproc.circle(img, pt, 10, new Scalar(0), -1);
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}
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assertTrue(Objdetect.findCirclesGrid(img, new Size(3, 5), centers, Objdetect.CALIB_CB_CLUSTERING
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| Objdetect.CALIB_CB_ASYMMETRIC_GRID));
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assertEquals(1, centers.rows());
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assertEquals(15, centers.cols());
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assertEquals(CvType.CV_32FC2, centers.type());
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}
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}
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