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fix java wrapper autotests

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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
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modules/features2d/misc/java/test/FlannBasedDescriptorMatcherTest.java
+12 -8
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@@ -19,11 +19,13 @@ 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 FlannBasedDescriptorMatcherTest extends OpenCVTestCase {
static final String xmlParamsDefault = "<?xml version=\"1.0\"?>\n"
+ "<opencv_storage>\n"
+ "<format>3</format>\n"
+ "<indexParams>\n"
+ " <_>\n"
+ " <name>algorithm</name>\n"
@@ -47,7 +49,8 @@ public class FlannBasedDescriptorMatcherTest extends OpenCVTestCase {
+ " <type>15</type>\n"
+ " <value>1</value></_></searchParams>\n"
+ "</opencv_storage>\n";
static final String ymlParamsDefault = "%YAML:1.0\n"
static final String ymlParamsDefault = "%YAML 1.0\n---\n"
+ "format: 3\n"
+ "indexParams:\n"
+ " -\n"
+ " name: algorithm\n"
@@ -70,7 +73,8 @@ public class FlannBasedDescriptorMatcherTest extends OpenCVTestCase {
+ " name: sorted\n"
+ " type: 15\n"
+ " value: 1\n";
static final String ymlParamsModified = "%YAML:1.0\n"
static final String ymlParamsModified = "%YAML 1.0\n---\n"
+ "format: 3\n"
+ "indexParams:\n"
+ " -\n"
+ " name: algorithm\n"
@@ -113,12 +117,12 @@ public class FlannBasedDescriptorMatcherTest 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");
detector.read(filename);
setProperty(detector, "hessianThreshold", "double", 8000);
setProperty(detector, "nOctaves", "int", 3);
setProperty(detector, "upright", "boolean", false);
detector.detect(img, keypoints);
extractor.compute(img, keypoints, descriptors);
@@ -139,7 +143,7 @@ public class FlannBasedDescriptorMatcherTest 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);