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Merge pull request #20367 from augustinmanecy:features2d-rw

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**Merge with contrib**: https://github.com/opencv/opencv_contrib/pull/3003

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV
- [x] The PR is proposed to proper branch
- [ ] There is reference to original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
This commit is contained in:
augustinmanecy
2022-12-21 14:03:00 +01:00
committed by GitHub
parent 63b6b24cd0
commit 0bd54a60e9
28 changed files with 845 additions and 555 deletions
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modules/features2d/misc/java/test/Features2dTest.java
+2 -2
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@@ -79,8 +79,8 @@ public class Features2dTest extends OpenCVTestCase {
public void testPTOD()
{
String detectorCfg = "%YAML:1.0\n---\nhessianThreshold: 4000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n";
String extractorCfg = "%YAML:1.0\n---\nnOctaves: 4\nnOctaveLayers: 2\nextended: 0\nupright: 0\n";
String detectorCfg = "%YAML:1.0\n---\nhessianThreshold: 4000.\nextended: 0\nupright: 0\nOctaves: 4\nOctaveLayers: 3\n";
String extractorCfg = "%YAML:1.0\n---\nhessianThreshold: 4000.\nextended: 0\nupright: 0\nOctaves: 4\nOctaveLayers: 3\n";
Feature2D detector = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);
Feature2D extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, null, null);