mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
133 lines
4.8 KiB
133 lines
4.8 KiB
package org.opencv.test.features2d; |
|
|
|
import java.util.Arrays; |
|
|
|
import org.opencv.core.CvType; |
|
import org.opencv.core.Mat; |
|
import org.opencv.core.MatOfKeyPoint; |
|
import org.opencv.core.Point; |
|
import org.opencv.core.Scalar; |
|
import org.opencv.core.KeyPoint; |
|
import org.opencv.test.OpenCVTestCase; |
|
import org.opencv.test.OpenCVTestRunner; |
|
import org.opencv.imgproc.Imgproc; |
|
import org.opencv.features2d.Feature2D; |
|
|
|
public class STARFeatureDetectorTest extends OpenCVTestCase { |
|
|
|
Feature2D detector; |
|
int matSize; |
|
KeyPoint[] truth; |
|
|
|
private Mat getMaskImg() { |
|
Mat mask = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255)); |
|
Mat right = mask.submat(0, matSize, matSize / 2, matSize); |
|
right.setTo(new Scalar(0)); |
|
return mask; |
|
} |
|
|
|
private Mat getTestImg() { |
|
Scalar color = new Scalar(0); |
|
int center = matSize / 2; |
|
int radius = 6; |
|
int offset = 40; |
|
|
|
Mat img = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255)); |
|
Imgproc.circle(img, new Point(center - offset, center), radius, color, -1); |
|
Imgproc.circle(img, new Point(center + offset, center), radius, color, -1); |
|
Imgproc.circle(img, new Point(center, center - offset), radius, color, -1); |
|
Imgproc.circle(img, new Point(center, center + offset), radius, color, -1); |
|
Imgproc.circle(img, new Point(center, center), radius, color, -1); |
|
return img; |
|
} |
|
|
|
protected void setUp() throws Exception { |
|
super.setUp(); |
|
detector = createClassInstance(XFEATURES2D+"StarDetector", DEFAULT_FACTORY, null, null); |
|
matSize = 200; |
|
truth = new KeyPoint[] { |
|
new KeyPoint( 95, 80, 22, -1, 31.5957f, 0, -1), |
|
new KeyPoint(105, 80, 22, -1, 31.5957f, 0, -1), |
|
new KeyPoint( 80, 95, 22, -1, 31.5957f, 0, -1), |
|
new KeyPoint(120, 95, 22, -1, 31.5957f, 0, -1), |
|
new KeyPoint(100, 100, 8, -1, 30.f, 0, -1), |
|
new KeyPoint( 80, 105, 22, -1, 31.5957f, 0, -1), |
|
new KeyPoint(120, 105, 22, -1, 31.5957f, 0, -1), |
|
new KeyPoint( 95, 120, 22, -1, 31.5957f, 0, -1), |
|
new KeyPoint(105, 120, 22, -1, 31.5957f, 0, -1) |
|
}; |
|
} |
|
|
|
public void testCreate() { |
|
assertNotNull(detector); |
|
} |
|
|
|
public void testDetectListOfMatListOfListOfKeyPoint() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testDetectListOfMatListOfListOfKeyPointListOfMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testDetectMatListOfKeyPoint() { |
|
Mat img = getTestImg(); |
|
MatOfKeyPoint keypoints = new MatOfKeyPoint(); |
|
|
|
detector.detect(img, keypoints); |
|
|
|
assertListKeyPointEquals(Arrays.asList(truth), keypoints.toList(), EPS); |
|
} |
|
|
|
public void testDetectMatListOfKeyPointMat() { |
|
Mat img = getTestImg(); |
|
Mat mask = getMaskImg(); |
|
MatOfKeyPoint keypoints = new MatOfKeyPoint(); |
|
|
|
detector.detect(img, keypoints, mask); |
|
|
|
assertListKeyPointEquals(Arrays.asList(truth[0], truth[2], truth[5], truth[7]), keypoints.toList(), EPS); |
|
} |
|
|
|
public void testEmpty() { |
|
// assertFalse(detector.empty()); |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testRead() { |
|
Mat img = getTestImg(); |
|
|
|
MatOfKeyPoint keypoints1 = new MatOfKeyPoint(); |
|
detector.detect(img, keypoints1); |
|
|
|
String filename = OpenCVTestRunner.getTempFileName("yml"); |
|
writeFile(filename, "%YAML:1.0\n---\nmaxSize: 45\nresponseThreshold: 150\nlineThresholdProjected: 10\nlineThresholdBinarized: 8\nsuppressNonmaxSize: 5\n"); |
|
detector.read(filename); |
|
|
|
MatOfKeyPoint keypoints2 = new MatOfKeyPoint(); |
|
detector.detect(img, keypoints2); |
|
|
|
assertTrue(keypoints2.total() <= keypoints1.total()); |
|
} |
|
|
|
public void testWrite() { |
|
String filename = OpenCVTestRunner.getTempFileName("xml"); |
|
|
|
detector.write(filename); |
|
|
|
// String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<name>Feature2D.STAR</name>\n<lineThresholdBinarized>8</lineThresholdBinarized>\n<lineThresholdProjected>10</lineThresholdProjected>\n<maxSize>45</maxSize>\n<responseThreshold>30</responseThreshold>\n<suppressNonmaxSize>5</suppressNonmaxSize>\n</opencv_storage>\n"; |
|
String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n</opencv_storage>\n"; |
|
assertEquals(truth, readFile(filename)); |
|
} |
|
|
|
public void testWriteYml() { |
|
String filename = OpenCVTestRunner.getTempFileName("yml"); |
|
|
|
detector.write(filename); |
|
|
|
// String truth = "%YAML:1.0\n---\nname: \"Feature2D.STAR\"\nlineThresholdBinarized: 8\nlineThresholdProjected: 10\nmaxSize: 45\nresponseThreshold: 30\nsuppressNonmaxSize: 5\n"; |
|
String truth = "%YAML:1.0\n---\n"; |
|
assertEquals(truth, readFile(filename)); |
|
} |
|
|
|
}
|
|
|