mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-11-29 05:29:54 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Java API: added tests for SiftDescriptorExtractor and OrbDescriptorExtractor

Browse Source
This commit is contained in:
Andrey Kamaev 2011-08-04 06:21:17 +00:00
parent 1523cb04d1
commit 28732d4300
3 changed files with 216 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
modules/java/android_test/src/org/opencv/test/features2d/BRIEFDescriptorExtractorTest.java
View File

@ -41,7 +41,6 @@ public class BRIEFDescriptorExtractorTest extends OpenCVTestCase {
Mat descriptors = new Mat();
extractor.compute(img, keypoints, descriptors);
OpenCVTestRunner.Log(descriptors);
Mat truth = new Mat(1, 32, CvType.CV_8UC1) {
{
@ -50,7 +49,7 @@ public class BRIEFDescriptorExtractorTest extends OpenCVTestCase {
}
};
assertMatEqual(truth, descriptors, EPS);
assertMatEqual(truth, descriptors);
}
public void testCreate() {

109
modules/java/android_test/src/org/opencv/test/features2d/ORBDescriptorExtractorTest.java Normal file
View File

@ -0,0 +1,109 @@
package org.opencv.test.features2d;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.KeyPoint;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import java.util.Arrays;
import java.util.List;
public class ORBDescriptorExtractorTest extends OpenCVTestCase {
DescriptorExtractor extractor;
int matSize;
private Mat getTestImg() {
Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
Core.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2);
Core.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 {
extractor = DescriptorExtractor.create(DescriptorExtractor.ORB);
matSize = 100;
super.setUp();
}
public void testCompute() {
KeyPoint point = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
List<KeyPoint> keypoints = Arrays.asList(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, 20, 51, 88, 22, 14, 181, 78, 111, 36, 144, 62, 0, 188, 196, 4, 8, 133, 80, 96, 18, 64, 29, 0,
254, 230, 247, 12, 2, 78, 129, 70, 145);
}
};
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());
}
public void testRead() {
KeyPoint point = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
List<KeyPoint> keypoints = Arrays.asList(point);
Mat img = getTestImg();
Mat descriptors = new Mat();
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML:1.0\nscaleFactor: 1.1\nnLevels: 3\nfirstLevel: 0\nedgeThreshold: 31\npatchSize: 31\n");
extractor.read(filename);
extractor.compute(img, keypoints, descriptors);
Mat truth = new Mat(1, 32, CvType.CV_8UC1) {
{
put(0, 0, 20, 55, 88, 20, 14, 49, 70, 111, 148, 144, 30, 16, 252, 133, 0, 8, 5, 85, 32, 0, 74, 25, 0,
252, 119, 191, 4, 2, 66, 1, 66, 145);
}
};
assertMatEqual(truth, descriptors);
}
public void testWrite() {
String filename = OpenCVTestRunner.getTempFileName("xml");
extractor.write(filename);
String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<scaleFactor>1.2000000476837158e+00</scaleFactor>\n<nLevels>3</nLevels>\n<firstLevel>0</firstLevel>\n<edgeThreshold>31</edgeThreshold>\n<patchSize>31</patchSize>\n</opencv_storage>\n";
assertEquals(truth, readFile(filename));
}
public void testWriteYml() {
String filename = OpenCVTestRunner.getTempFileName("yml");
extractor.write(filename);
String truth = "%YAML:1.0\nscaleFactor: 1.2000000476837158e+00\nnLevels: 3\nfirstLevel: 0\nedgeThreshold: 31\npatchSize: 31\n";
assertEquals(truth, readFile(filename));
}
}

106
modules/java/android_test/src/org/opencv/test/features2d/SIFTDescriptorExtractorTest.java Normal file
View File

@ -0,0 +1,106 @@
package org.opencv.test.features2d;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.KeyPoint;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import java.util.Arrays;
import java.util.List;
public class SIFTDescriptorExtractorTest extends OpenCVTestCase {
DescriptorExtractor extractor;
KeyPoint keypoint;
Mat truth;
int matSize;
private Mat getTestImg() {
Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
Core.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2);
Core.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 {
extractor = DescriptorExtractor.create(DescriptorExtractor.SIFT);
keypoint = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
matSize = 100;
truth = new Mat(1, 128, CvType.CV_32FC1) {
{
put(0,0, 123, 0, 0, 1, 123, 0, 0, 1, 123, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 123, 0, 0, 2, 123, 0, 0, 2, 123, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 123, 30,
7, 31, 123, 0, 0, 0, 123, 52, 88, 0, 0, 0, 0, 0, 0, 2, 123, 0, 0, 0, 0, 0, 0, 1, 110, 0, 0, 0, 0, 0, 18, 37, 18, 34, 16,
21, 12, 23, 12, 50, 123, 0, 0, 0, 90, 26, 0, 3, 123, 0, 0, 1, 122, 0, 0, 2, 123, 0, 0, 1, 93, 0);
}
};
super.setUp();
}
public void testCompute() {
List<KeyPoint> keypoints = Arrays.asList(keypoint);
Mat img = getTestImg();
Mat descriptors = new Mat();
extractor.compute(img, keypoints, descriptors);
assertMatEqual(truth, descriptors, EPS);
}
public void testCreate() {
assertNotNull(extractor);
}
public void testDescriptorSize() {
assertEquals(128, extractor.descriptorSize());
}
public void testDescriptorType() {
assertEquals(CvType.CV_32F, extractor.descriptorType());
}
public void testEmpty() {
assertFalse(extractor.empty());
}
public void testRead() {
List<KeyPoint> keypoints = Arrays.asList(keypoint);
Mat img = getTestImg();
Mat descriptors = new Mat();
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML:1.0\nmagnification: 3.\nisNormalize: 1\nrecalculateAngles: 1\nnOctaves: 6\nnOctaveLayers: 4\nfirstOctave: -1\nangleMode: 0\n");
extractor.read(filename);
extractor.compute(img, keypoints, descriptors);
assertMatNotEqual(truth, descriptors, EPS);
}
public void testWrite() {
String filename = OpenCVTestRunner.getTempFileName("xml");
extractor.write(filename);
String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<magnification>3.</magnification>\n<isNormalize>1</isNormalize>\n<recalculateAngles>1</recalculateAngles>\n<nOctaves>4</nOctaves>\n<nOctaveLayers>3</nOctaveLayers>\n<firstOctave>-1</firstOctave>\n<angleMode>0</angleMode>\n</opencv_storage>\n";
assertEquals(truth, readFile(filename));
}
public void testWriteYml() {
String filename = OpenCVTestRunner.getTempFileName("yml");
extractor.write(filename);
String truth = "%YAML:1.0\nmagnification: 3.\nisNormalize: 1\nrecalculateAngles: 1\nnOctaves: 4\nnOctaveLayers: 3\nfirstOctave: -1\nangleMode: 0\n";
assertEquals(truth, readFile(filename));
}
}