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b14ea19466
core: persistence: output reals as human-friendly expression. #25351 Close #25073 Related https://github.com/opencv/opencv/pull/25087 This patch is need to merge same time with https://github.com/opencv/opencv_contrib/pull/3714 ### 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 - [x] 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. - [x] The feature is well documented and sample code can be built with the project CMake
140 lines
6.1 KiB
Java
140 lines
6.1 KiB
Java
package org.opencv.test.features2d;
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import java.util.Arrays;
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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.MatOfKeyPoint;
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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.KeyPoint;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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import org.opencv.imgproc.Imgproc;
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import org.opencv.features2d.SimpleBlobDetector;
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import org.opencv.features2d.SimpleBlobDetector_Params;
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public class SIMPLEBLOBFeatureDetectorTest extends OpenCVTestCase {
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SimpleBlobDetector detector;
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int matSize;
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KeyPoint[] truth;
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private Mat getMaskImg() {
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Mat mask = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
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Mat right = mask.submat(0, matSize, matSize / 2, matSize);
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right.setTo(new Scalar(0));
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return mask;
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}
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private Mat getTestImg() {
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int center = matSize / 2;
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int offset = 40;
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Mat img = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
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Imgproc.circle(img, new Point(center - offset, center), 24, new Scalar(0), -1);
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Imgproc.circle(img, new Point(center + offset, center), 20, new Scalar(50), -1);
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Imgproc.circle(img, new Point(center, center - offset), 18, new Scalar(100), -1);
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Imgproc.circle(img, new Point(center, center + offset), 14, new Scalar(150), -1);
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Imgproc.circle(img, new Point(center, center), 10, new Scalar(200), -1);
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return img;
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}
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@Override
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protected void setUp() throws Exception {
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super.setUp();
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detector = SimpleBlobDetector.create();
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matSize = 200;
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truth = new KeyPoint[] {
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new KeyPoint(140, 100, 41.036568f, -1, 0, 0, -1),
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new KeyPoint(60, 100, 48.538486f, -1, 0, 0, -1),
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new KeyPoint(100, 60, 36.769554f, -1, 0, 0, -1),
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new KeyPoint(100, 140, 28.635643f, -1, 0, 0, -1),
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new KeyPoint(100, 100, 20.880613f, -1, 0, 0, -1)
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};
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}
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public void testCreate() {
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assertNotNull(detector);
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}
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public void testDetectListOfMatListOfListOfKeyPoint() {
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fail("Not yet implemented");
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}
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public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
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fail("Not yet implemented");
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}
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public void testDetectMatListOfKeyPoint() {
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Mat img = getTestImg();
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MatOfKeyPoint keypoints = new MatOfKeyPoint();
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detector.detect(img, keypoints);
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assertListKeyPointEquals(Arrays.asList(truth), keypoints.toList(), EPS);
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}
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public void testDetectMatListOfKeyPointMat() {
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Mat img = getTestImg();
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Mat mask = getMaskImg();
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MatOfKeyPoint keypoints = new MatOfKeyPoint();
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detector.detect(img, keypoints, mask);
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assertListKeyPointEquals(Arrays.asList(truth[1]), keypoints.toList(), EPS);
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}
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public void testEmpty() {
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// assertFalse(detector.empty());
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fail("Not yet implemented");
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}
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public void testReadYml() {
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Mat img = getTestImg();
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MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
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detector.detect(img, keypoints1);
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String filename = OpenCVTestRunner.getTempFileName("yml");
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writeFile(filename, "%YAML:1.0\nthresholdStep: 10.0\nminThreshold: 50\nmaxThreshold: 220\nminRepeatability: 2\nminDistBetweenBlobs: 10.\nfilterByColor: 1\nblobColor: 0\nfilterByArea: 1\nminArea: 800\nmaxArea: 6000\nfilterByCircularity: 0\nminCircularity: 0.7\nmaxCircularity: 10.\nfilterByInertia: 1\nminInertiaRatio: 0.2\nmaxInertiaRatio: 11.\nfilterByConvexity: true\nminConvexity: 0.9\nmaxConvexity: 12.\n");
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detector.read(filename);
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SimpleBlobDetector_Params params = detector.getParams();
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assertEquals(10.0f, params.get_thresholdStep());
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assertEquals(50f, params.get_minThreshold());
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assertEquals(220f, params.get_maxThreshold());
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assertEquals(2, params.get_minRepeatability());
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assertEquals(10.0f, params.get_minDistBetweenBlobs());
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assertEquals(true, params.get_filterByColor());
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// FIXME: blobColor field has uchar type in C++ and cannot be automatically wrapped to Java as it does not support unsigned types
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//assertEquals(0, params.get_blobColor());
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assertEquals(true, params.get_filterByArea());
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assertEquals(800f, params.get_minArea());
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assertEquals(6000f, params.get_maxArea());
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assertEquals(false, params.get_filterByCircularity());
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assertEquals(0.7f, params.get_minCircularity());
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assertEquals(10.0f, params.get_maxCircularity());
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assertEquals(true, params.get_filterByInertia());
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assertEquals(0.2f, params.get_minInertiaRatio());
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assertEquals(11.0f, params.get_maxInertiaRatio());
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assertEquals(true, params.get_filterByConvexity());
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assertEquals(0.9f, params.get_minConvexity());
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assertEquals(12.0f, params.get_maxConvexity());
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MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
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detector.detect(img, keypoints2);
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assertTrue(keypoints2.total() <= keypoints1.total());
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}
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public void testWrite() {
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String filename = OpenCVTestRunner.getTempFileName("xml");
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detector.write(filename);
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String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<format>3</format>\n<thresholdStep>10.</thresholdStep>\n<minThreshold>50.</minThreshold>\n<maxThreshold>220.</maxThreshold>\n<minRepeatability>2</minRepeatability>\n<minDistBetweenBlobs>10.</minDistBetweenBlobs>\n<filterByColor>1</filterByColor>\n<blobColor>0</blobColor>\n<filterByArea>1</filterByArea>\n<minArea>25.</minArea>\n<maxArea>5000.</maxArea>\n<filterByCircularity>0</filterByCircularity>\n<minCircularity>0.80000001192092896</minCircularity>\n<maxCircularity>3.4028234663852886e+38</maxCircularity>\n<filterByInertia>1</filterByInertia>\n<minInertiaRatio>0.10000000149011612</minInertiaRatio>\n<maxInertiaRatio>3.4028234663852886e+38</maxInertiaRatio>\n<filterByConvexity>1</filterByConvexity>\n<minConvexity>0.94999998807907104</minConvexity>\n<maxConvexity>3.4028234663852886e+38</maxConvexity>\n<collectContours>0</collectContours>\n</opencv_storage>\n";
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assertEquals(truth, readFile(filename));
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}
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}
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