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Move Aruco tutorials and samples to main repo #23018 merge with https://github.com/opencv/opencv_contrib/pull/3401 merge with https://github.com/opencv/opencv_extra/pull/1143 ### 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 --------- Co-authored-by: AleksandrPanov <alexander.panov@xperience.ai> Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
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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 - INSERT OBJDETECT MODULE INFO
- @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