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.
102 lines
3.2 KiB
102 lines
3.2 KiB
package org.opencv.test.features2d; |
|
|
|
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 BRIEFDescriptorExtractorTest extends OpenCVTestCase { |
|
|
|
Feature2D extractor; |
|
int matSize; |
|
|
|
private Mat getTestImg() { |
|
Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255)); |
|
Imgproc.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2); |
|
Imgproc.line(cross, new Point(matSize / 2, 20), new Point(matSize / 2, matSize - 21), new Scalar(100), 2); |
|
|
|
return cross; |
|
} |
|
|
|
@Override |
|
protected void setUp() throws Exception { |
|
super.setUp(); |
|
extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"BriefDescriptorExtractor", ALGORITHM_FACTORY_NAME, null, null); |
|
matSize = 100; |
|
} |
|
|
|
public void testComputeListOfMatListOfListOfKeyPointListOfMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testComputeMatListOfKeyPointMat() { |
|
KeyPoint point = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1); |
|
MatOfKeyPoint keypoints = new MatOfKeyPoint(point); |
|
Mat img = getTestImg(); |
|
Mat descriptors = new Mat(); |
|
|
|
extractor.compute(img, keypoints, descriptors); |
|
|
|
Mat truth = new Mat(1, 32, CvType.CV_8UC1) { |
|
{ |
|
put(0, 0, 96, 0, 76, 24, 47, 182, 68, 137, |
|
149, 195, 67, 16, 187, 224, 74, 8, |
|
82, 169, 87, 70, 44, 4, 192, 56, |
|
13, 128, 44, 106, 146, 72, 194, 245); |
|
} |
|
}; |
|
|
|
assertMatEqual(truth, descriptors); |
|
} |
|
|
|
public void testCreate() { |
|
assertNotNull(extractor); |
|
} |
|
|
|
public void testDescriptorSize() { |
|
assertEquals(32, extractor.descriptorSize()); |
|
} |
|
|
|
public void testDescriptorType() { |
|
assertEquals(CvType.CV_8U, extractor.descriptorType()); |
|
} |
|
|
|
public void testEmpty() { |
|
// assertFalse(extractor.empty()); |
|
fail("Not yet implemented"); // BRIEF does not override empty() method |
|
} |
|
|
|
public void testRead() { |
|
String filename = OpenCVTestRunner.getTempFileName("yml"); |
|
writeFile(filename, "%YAML 1.0\n---\ndescriptorSize: 64\n"); |
|
|
|
extractor.read(filename); |
|
|
|
assertEquals(64, extractor.descriptorSize()); |
|
} |
|
|
|
public void testWrite() { |
|
String filename = OpenCVTestRunner.getTempFileName("xml"); |
|
|
|
extractor.write(filename); |
|
|
|
String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<descriptorSize>32</descriptorSize>\n</opencv_storage>\n"; |
|
assertEquals(truth, readFile(filename)); |
|
} |
|
|
|
public void testWriteYml() { |
|
String filename = OpenCVTestRunner.getTempFileName("yml"); |
|
|
|
extractor.write(filename); |
|
|
|
String truth = "%YAML 1.0\n---\ndescriptorSize: 32\n"; |
|
assertEquals(truth, readFile(filename)); |
|
} |
|
|
|
}
|
|
|