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Merge pull request #26441 from sturkmen72:upd_tutorials
Update tutorials #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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@ -148,7 +148,7 @@ picture in memory.
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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.
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@ -1,12 +1,17 @@
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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
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@ -1,6 +1,8 @@
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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
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@ -1,8 +1,15 @@
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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_basic_geometric_drawing
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- @subpage tutorial_random_generator_and_text
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- @subpage tutorial_gausian_median_blur_bilateral_filter
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@ -14,8 +21,9 @@ Basic
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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_filter_2d
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- @subpage tutorial_copyMakeBorder
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- @subpage tutorial_sobel_derivatives
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@ -27,16 +35,18 @@ Transformations
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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_equalization
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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_find_contours
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- @subpage tutorial_hull
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- @subpage tutorial_bounding_rects_circles
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@ -44,8 +54,9 @@ Contours
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- @subpage tutorial_moments
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- @subpage tutorial_point_polygon_test
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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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- @subpage tutorial_distance_transform
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- @subpage tutorial_out_of_focus_deblur_filter
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- @subpage tutorial_motion_deblur_filter
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@ -9,6 +9,8 @@ Introduction into Android Development {#tutorial_android_dev_intro}
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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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@ -12,6 +12,8 @@
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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.
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@ -9,6 +9,8 @@ Use OpenCL in Android camera preview based CV application {#tutorial_android_ocl
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| Original author | Andrey Pavlenko, Alexander Panov |
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| Compatibility | OpenCV >= 4.9 |
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@tableofcontents
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This guide was designed to help you in use of [OpenCL ™](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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@ -9,6 +9,8 @@ Android Development with OpenCV {#tutorial_dev_with_OCV_on_Android}
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| Original authors | Alexander Panov, Rostislav Vasilikhin |
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| Compatibility | OpenCV >= 4.9.0 |
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@tableofcontents
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This tutorial has been created to help you use OpenCV library within your Android project.
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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.
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@ -9,6 +9,8 @@ Introduction to OpenCV Development with Clojure {#tutorial_clojure_dev_intro}
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| Original author | Mimmo Cosenza |
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| Compatibility | OpenCV >= 3.0 |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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@ -9,6 +9,8 @@ Cross compilation for ARM based Linux systems {#tutorial_arm_crosscompile_with_c
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| Original author | Alexander Smorkalov |
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| Compatibility | OpenCV >= 3.0 |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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@ -11,6 +11,8 @@
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| Compatibility | Ubuntu >=23.04 |
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|^ | OpenCV >=4.8.0 |
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@tableofcontents
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@warning
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This tutorial may contain obsolete information.
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@ -9,6 +9,8 @@ Introduction to Java Development {#tutorial_java_dev_intro}
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| Original author | Eric Christiansen and Andrey Pavlenko |
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| Compatibility | OpenCV >= 3.0 |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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@ -9,6 +9,8 @@ Getting Started with Images {#tutorial_display_image}
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| Original author | Ana Huamán |
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| Compatibility | OpenCV >= 3.4.4 |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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@ -9,6 +9,8 @@ Using OpenCV Java with Eclipse {#tutorial_java_eclipse}
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| Original author | Barış Evrim Demiröz |
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| Compatibility | OpenCV >= 3.0 |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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@ -9,6 +9,8 @@ Using OpenCV with Eclipse (plugin CDT) {#tutorial_linux_eclipse}
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| Original author | Ana Huamán |
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| Compatibility | OpenCV >= 3.0 |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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@ -9,6 +9,8 @@ Using OpenCV with gcc and CMake {#tutorial_linux_gcc_cmake}
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| Original author | Ana Huamán |
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| Compatibility | OpenCV >= 3.0 |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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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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Introduction to OpenCV {#tutorial_table_of_content_introduction}
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======================
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@tableofcontents
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- @subpage tutorial_general_install
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- @subpage tutorial_config_reference
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- @subpage tutorial_env_reference
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@ -9,6 +9,8 @@ Installation in Windows {#tutorial_windows_install}
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| Original author | Bernát Gábor |
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| Compatibility | OpenCV >= 3.0 |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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@ -9,6 +9,8 @@ Image Watch: viewing in-memory images in the Visual Studio debugger {#tutorial_w
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| Original author | Wolf Kienzle |
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| Compatibility | OpenCV >= 3.0 |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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@ -8,6 +8,8 @@ How to build applications with OpenCV inside the "Microsoft Visual Studio" {#tut
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| Original author | Bernát Gábor |
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| Compatibility | OpenCV >= 3.0 |
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@tableofcontents
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@warning
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This tutorial can contain obsolete information.
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@ -70,7 +72,7 @@ create it. Then in the upcoming dialog make sure you create an empty project.
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The *local* method
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The local method
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------------------
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Every project is built separately from the others. Due to this every project has its own rule
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@ -179,7 +181,7 @@ entry inside the Property Manager to easily add the OpenCV build rules.
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The *global* method
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The global method
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-------------------
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In case you find it too troublesome to add the property pages to each and every one of your projects you
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@ -3556,7 +3556,7 @@ public:
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/** @brief Matrix expression representation
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@anchor MatrixExpressions
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This is a list of implemented matrix operations that can be combined in arbitrary complex
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expressions (here A, B stand for matrices ( Mat ), s for a scalar ( Scalar ), alpha for a
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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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real-valued scalar ( double )):
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- Addition, subtraction, negation: `A+B`, `A-B`, `A+s`, `A-s`, `s+A`, `s-A`, `-A`
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- Scaling: `A*alpha`
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0.
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- Bitwise logical operations: `A logicop B`, `A logicop s`, `s logicop A`, `~A`, where *logicop* is one of
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`&`, `|`, `^`.
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- Element-wise minimum and maximum: `min(A, B)`, `min(A, alpha)`, `max(A, B)`, `max(A, alpha)`
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- Element-wise absolute value: `abs(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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- Element-wise absolute value: cv::abs(A)
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- Cross-product, dot-product: `A.cross(B)`, `A.dot(B)`
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- Any function of matrix or matrices and scalars that returns a matrix or a scalar, such as norm,
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mean, sum, countNonZero, trace, determinant, repeat, and others.
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- Any function of matrix or matrices and scalars that returns a matrix or a scalar, such as cv::norm,
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cv::mean, cv::sum, cv::countNonZero, cv::trace, cv::determinant, cv::repeat, and others.
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- Matrix initializers ( Mat::eye(), Mat::zeros(), Mat::ones() ), matrix comma-separated
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initializers, matrix constructors and operators that extract sub-matrices (see Mat description).
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initializers, matrix constructors and operators that extract sub-matrices (see cv::Mat description).
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- Mat_<destination_type>() constructors to cast the result to the proper type.
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@note Comma-separated initializers and probably some other operations may require additional
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explicit Mat() or Mat_<T>() constructor calls to resolve a possible ambiguity.
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