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opencv/doc/tutorials/tutorials.markdown
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s-trinh 0abd5c86f7 Merge pull request #28824 from s-trinh:update_ArUco_doc
Update ArUco doc #28824

See https://github.com/opencv/opencv/pull/28823

Update of the ArUco doc but targeted for OpenCV 4.

### 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
- [x] 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.
- [x] The feature is well documented and sample code can be built with the project CMake
2026-05-20 15:05:51 +03:00

1.2 KiB

OpenCV Tutorials

  • @subpage tutorial_table_of_content_introduction - build and install OpenCV on your computer
  • @subpage tutorial_table_of_content_core - basic building blocks of the library
  • @subpage tutorial_table_of_content_imgproc - image processing functions
  • @subpage tutorial_table_of_content_app - application utils (GUI, image/video input/output)
  • @subpage tutorial_table_of_content_calib3d - extract 3D world information from 2D images
  • @subpage tutorial_table_of_content_objdetect - detect ArUco markers and other calibration boards
  • @subpage tutorial_table_of_content_features2d - feature detectors, descriptors and matching framework
  • @subpage tutorial_table_of_content_dnn - infer neural networks using built-in dnn module
  • @subpage tutorial_table_of_content_gapi - graph-based approach to computer vision algorithms building
  • @subpage tutorial_table_of_content_other - other modules (ml, objdetect, stitching, video, photo)
  • @subpage tutorial_table_of_content_ios - running OpenCV on an iDevice @cond CUDA_MODULES
  • @subpage tutorial_table_of_content_gpu - utilizing power of video card to run CV algorithms @endcond