third_party/opencv
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

fix java wrapper autotests

Browse Source
This commit is contained in:
abratchik
2016-10-17 21:53:59 +04:00
parent 4c66772783
commit 78874c568e
16 changed files with 324 additions and 124 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/features2d/misc/java/test/BruteForceL1DescriptorMatcherTest.java
+11 -12
View File
@@ -3,7 +3,6 @@ package org.opencv.test.features2d;
import java.util.Arrays;
import java.util.List;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDMatch;
@@ -11,13 +10,12 @@ import org.opencv.core.MatOfKeyPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.DMatch;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.FeatureDetector;
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 BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
@@ -38,13 +36,14 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
MatOfKeyPoint keypoints = new MatOfKeyPoint();
Mat descriptors = new Mat();
FeatureDetector detector = FeatureDetector.create(FeatureDetector.SURF);
DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
Feature2D detector = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
String filename = OpenCVTestRunner.getTempFileName("yml");
//writeFile(filename, "%YAML:1.0\nhessianThreshold: 8000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n");
writeFile(filename, "%YAML:1.0\nname: \"Feature2D.SURF\"\nextended: 1\nhessianThreshold: 8000.\nnOctaveLayers: 2\nnOctaves: 3\nupright: 0\n");
detector.read(filename);
setProperty(detector, "extended", "boolean", true);
setProperty(detector, "hessianThreshold", "double", 8000);
setProperty(detector, "nOctaveLayers", "int", 2);
setProperty(detector, "nOctaves", "int", 3);
setProperty(detector, "upright", "boolean", false);
detector.detect(img, keypoints);
extractor.compute(img, keypoints, descriptors);
@@ -65,7 +64,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
MatOfKeyPoint keypoints = new MatOfKeyPoint(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1));
Mat descriptors = new Mat();
DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
Feature2D extractor = createAlgorythmInstance(XFEATURES2D_PACKAGE_NAME+"SURF", ALGORITHM_FACTORY_NAME, null, null);
extractor.compute(img, keypoints, descriptors);
@@ -247,7 +246,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
public void testRead() {
String filename = OpenCVTestRunner.getTempFileName("yml");
writeFile(filename, "%YAML:1.0\n");
writeFile(filename, "%YAML 1.0\n---\n");
matcher.read(filename);
assertTrue(true);// BruteforceMatcher has no settings
@@ -262,7 +261,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
matcher.write(filename);
String truth = "%YAML:1.0\n";
String truth = "%YAML 1.0\n---\n";
assertEquals(truth, readFile(filename));
}