potok/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2026-07-30 07:43:03 +04:00
Code Packages Releases Wiki Activity

Merge pull request #28903 from Kumataro:supportDoxygen1_15_0

Browse Source 
doc: modernize Doxygen comments to support for v1.15.0 #28903

This PR addresses several documentation build failures encountered with modern Doxygen versions, particularly v1.15.0 (shipped with Ubuntu 26.04).

- flann module: Updated license headers from /**** to /*M****. This prevents Doxygen from misinterpreting the license text (specifically the unclosed backticks in ``AS IS'') as documentation blocks, which previously caused "Reached end of file" errors.
- core module: Fixed a typo in operations.hpp where a doubled backtick (``) caused parsing to fail.
- tutorials: Fixed a missing backtick in real_time_pose.markdown (around line 108) and corrected typos in the RobustMatcher class name.
- Links: Resolved explicit link request failures in calib3d.hpp by ensuring proper namespace resolution.

These fixes ensure that the documentation can be generated without errors on the latest toolchains.

### 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 another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] 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:
Kumataro
2026-04-29 16:47:53 +09:00
committed by GitHub
parent 54363b29c4
commit b201d6e631
35 changed files with 39 additions and 39 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/tutorials/calib3d/real_time_pose/real_time_pose.markdown
+3 -3
View File
@@ -105,7 +105,7 @@ The tutorial consists of two main programs:
Using the found matches along with @ref cv::solvePnPRansac function the `R` and `t` of
the camera are computed. Finally, a KalmanFilter is applied in order to reject bad poses.
In the case that you compiled OpenCV with the samples, you can find it in opencv/build/bin/cpp-tutorial-pnp_detection`.
In the case that you compiled OpenCV with the samples, you can find it in `opencv/build/bin/cpp-tutorial-pnp_detection`.
Then you can run the application and change some parameters:
@code{.cpp}
This program shows how to detect an object given its 3D textured model. You can choose to use a recorded video or the webcam.
@@ -252,8 +252,8 @@ Here is explained in detail the code for the real time application:
The next step is to detect the scene features and extract it descriptors. For this task I
implemented a *class* **RobustMatcher** which has a function for keypoints detection and features
extraction. You can find it in
`samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/RobusMatcher.cpp`. In your
*RobusMatch* object you can use any of the 2D features detectors of OpenCV. In this case I used
`samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/RobustMatcher.cpp`. In your
*RobustMatch* object you can use any of the 2D features detectors of OpenCV. In this case I used
@ref cv::ORB features because is based on @ref cv::FAST to detect the keypoints and cv::xfeatures2d::BriefDescriptorExtractor
to extract the descriptors which means that is fast and robust to rotations. You can find more
detailed information about *ORB* in the documentation.