Open Source Computer Vision Library https://opencv.org/
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OpenCV Tutorials

The following links describe a set of basic OpenCV tutorials. All the source code mentioned here is provided as part of the OpenCV regular releases, so check before you start copy & pasting the code. The list of tutorials below is automatically generated from reST files located in our GIT repository.

As always, we would be happy to hear your comments and receive your contributions on any tutorial.

  • @subpage tutorial_table_of_content_introduction

    You will learn how to setup OpenCV on your computer!

  • @subpage tutorial_table_of_content_core

    Here you will learn the about the basic building blocks of the library. A must read and know for understanding how to manipulate the images on a pixel level.

  • @subpage tutorial_table_of_content_imgproc

    In this section you will learn about the image processing (manipulation) functions inside OpenCV.

  • @subpage tutorial_table_of_content_highgui

    This section contains valuable tutorials about how to use the built-in graphical user interface of the library.

  • @subpage tutorial_table_of_content_imgcodecs

    These tutorials show how to read and write images using imgcodecs module.

  • @subpage tutorial_table_of_content_videoio

    These tutorials show how to read and write videos using videio module.

  • @subpage tutorial_table_of_content_calib3d

    Although we got most of our images in a 2D format they do come from a 3D world. Here you will learn how to find out from the 2D images information about the 3D world.

  • @subpage tutorial_table_of_content_features2d

    Learn about how to use the feature points detectors, descriptors and matching framework found inside OpenCV.

  • @subpage tutorial_table_of_content_video

    Look here in order to find algorithms usable on your video streams like: motion extraction, feature tracking and foreground extractions.

  • @subpage tutorial_table_of_content_objdetect

    Ever wondered how your digital camera detects peoples and faces? Look here to find out!

  • @subpage tutorial_table_of_content_ml

    Use the powerful machine learning classes for statistical classification, regression and clustering of data.

  • @subpage tutorial_table_of_content_photo

    Use OpenCV for advanced photo processing.

  • @subpage tutorial_table_of_content_gpu

    Squeeze out every little computation power from your system by using the power of your video card to run the OpenCV algorithms.

  • @subpage tutorial_table_of_content_ios

    Run OpenCV and your vision apps on an iDevice

  • @subpage tutorial_table_of_content_viz

    These tutorials show how to use Viz module effectively.