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Merge pull request opencv#26441 from sturkmen72:upd_tutorials
Update tutorials opencv#26441 ### 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. - [ ] The feature is well documented and sample code can be built with the project CMake
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‎doc/tutorials/core/mat_the_basic_image_container/mat_the_basic_image_container.markdown

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Creating a Mat object explicitly
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----------------------------------
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In the @ref tutorial_load_save_image tutorial you have already learned how to write a matrix to an image
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In the @ref tutorial_display_image tutorial you have already learned how to write a matrix to an image
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file by using the @ref cv::imwrite() function. However, for debugging purposes it's much more
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convenient to see the actual values. You can do this using the \<\< operator of *Mat*. Be aware that
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this only works for two dimensional matrices.

‎doc/tutorials/core/table_of_content_core.markdown

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The Core Functionality (core module) {#tutorial_table_of_content_core}
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=====================================
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@tableofcontents
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##### Basic
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- @subpage tutorial_mat_the_basic_image_container
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- @subpage tutorial_how_to_scan_images
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- @subpage tutorial_mat_mask_operations
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- @subpage tutorial_mat_operations
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- @subpage tutorial_adding_images
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- @subpage tutorial_basic_linear_transform
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##### Advanced
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- @subpage tutorial_discrete_fourier_transform
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- @subpage tutorial_file_input_output_with_xml_yml
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- @subpage tutorial_how_to_use_OpenCV_parallel_for_new

‎doc/tutorials/dnn/table_of_content_dnn.markdown

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Deep Neural Networks (dnn module) {#tutorial_table_of_content_dnn}
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=====================================
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@tableofcontents
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- @subpage tutorial_dnn_googlenet
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- @subpage tutorial_dnn_halide
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- @subpage tutorial_dnn_halide_scheduling

‎doc/tutorials/imgproc/table_of_content_imgproc.markdown

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Image Processing (imgproc module) {#tutorial_table_of_content_imgproc}
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=================================
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Basic
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-----
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@tableofcontents
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The imgproc module in OpenCV is a collection of per-pixel image operations (color conversions, filters) drawing (contours, objects, text), and
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geometry transformations (warping, resize) useful for computer vision.
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Here's an overview of the content in the imgproc module, categorized for easier navigation:
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##### Basic
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These tutorials cover fundamental image processing tasks, such as drawing on images, applying filters, and morphological operations.
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- @subpage tutorial_random_generator_and_text
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- @subpage tutorial_threshold
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- @subpage tutorial_threshold_inRange
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Transformations
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---------------
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##### Transformations
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These tutorials explore more advanced transformations that modify the image in various ways, such as filtering, warping, and edge detection.
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- @subpage tutorial_remap
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- @subpage tutorial_warp_affine
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Histograms
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----------
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##### Histograms
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Histograms are vital for image analysis, and these tutorials cover operations like equalization, comparison, and back projection.
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- @subpage tutorial_histogram_calculation
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- @subpage tutorial_histogram_comparison
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- @subpage tutorial_back_projection
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- @subpage tutorial_template_matching
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Contours
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--------
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##### Contours
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Contours are curves that represent the boundaries of objects in an image. These tutorials cover techniques to detect and analyze contours.
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- @subpage tutorial_hull
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- @subpage tutorial_bounding_rects_circles
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Others
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------
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##### Others
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These tutorials cover specialized image processing techniques for more complex tasks like deblurring, noise removal, and image segmentation.
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‎doc/tutorials/introduction/android_binary_package/android_dev_intro.markdown

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| Original author | Rostislav Vasilikhin |
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| Compatibility | OpenCV >= 4.0 |
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@tableofcontents
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This guide was designed to help you in learning Android development basics and setting up your
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working environment quickly. It was tested with Ubuntu 22.04 and Windows 10.
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‎doc/tutorials/introduction/android_binary_package/android_dnn_intro.markdown

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| Original author | Dmitry Kurtaev |
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| Compatibility | OpenCV >= 4.9 |
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@tableofcontents
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## Introduction
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In this tutorial you'll know how to run deep learning networks on Android device
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using OpenCV deep learning module.

‎doc/tutorials/introduction/android_binary_package/android_ocl_intro.markdown

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| Original author | Andrey Pavlenko, Alexander Panov |
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@tableofcontents
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This guide was designed to help you in use of [OpenCL &trade;](https://www.khronos.org/opencl/) in Android camera preview based CV application.
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Tutorial was written for [Android Studio](http://developer.android.com/tools/studio/index.html) 2022.2.1. It was tested with Ubuntu 22.04.
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‎doc/tutorials/introduction/android_binary_package/dev_with_OCV_on_Android.markdown

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| Original authors | Alexander Panov, Rostislav Vasilikhin |
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@tableofcontents
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This guide was checked on Ubuntu but contains no platform-dependent parts, therefore should be compatible with any OS supported by Android Studio and OpenCV4Android SDK.

‎doc/tutorials/introduction/clojure_dev_intro/clojure_dev_intro.markdown

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| Original author | Mimmo Cosenza |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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‎doc/tutorials/introduction/crosscompilation/arm_crosscompile_with_cmake.markdown

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| Original author | Alexander Smorkalov |
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@tableofcontents
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@warning
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‎doc/tutorials/introduction/crosscompilation/crosscompile_with_multiarch.markdown

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| Compatibility | Ubuntu >=23.04 |
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@tableofcontents
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@warning
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‎doc/tutorials/introduction/desktop_java/java_dev_intro.markdown

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| Original author | Eric Christiansen and Andrey Pavlenko |
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@tableofcontents
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‎doc/tutorials/introduction/display_image/display_image.markdown

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| Original author | Ana Huamán |
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@tableofcontents
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‎doc/tutorials/introduction/java_eclipse/java_eclipse.markdown

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| Original author | Barış Evrim Demiröz |
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@tableofcontents
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‎doc/tutorials/introduction/linux_eclipse/linux_eclipse.markdown

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| Original author | Ana Huamán |
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@tableofcontents
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‎doc/tutorials/introduction/linux_gcc_cmake/linux_gcc_cmake.markdown

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| Original author | Ana Huamán |
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@tableofcontents
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‎doc/tutorials/introduction/linux_install/linux_install.markdown

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Installation in Linux {#tutorial_linux_install}
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=====================
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@prev_tutorial{tutorial_env_reference}
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@next_tutorial{tutorial_linux_gdb_pretty_printer}
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| | |

‎doc/tutorials/introduction/table_of_content_introduction.markdown

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Introduction to OpenCV {#tutorial_table_of_content_introduction}
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======================
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- @subpage tutorial_env_reference

‎doc/tutorials/introduction/windows_install/windows_install.markdown

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| Original author | Bernát Gábor |
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‎doc/tutorials/introduction/windows_visual_studio_image_watch/windows_visual_studio_image_watch.markdown

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| Original author | Wolf Kienzle |
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‎doc/tutorials/introduction/windows_visual_studio_opencv/windows_visual_studio_opencv.markdown

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The local method
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‎modules/core/include/opencv2/core/mat.hpp

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@anchor MatrixExpressions
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expressions (here A, B stand for matrices ( cv::Mat ), s for a cv::Scalar, alpha for a
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- Element-wise minimum and maximum: cv::min(A, B), cv::min(A, alpha), cv::max(A, B), cv::max(A, alpha)
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