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 copying & 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.
You will learn how to setup OpenCV on your computer
Here you will learn about the basic building blocks of this library. A must read for understanding how to manipulate the images on a pixel level.
In this section you will learn about the image processing (manipulation) functions inside OpenCV.
This section contains valuable tutorials on how to use the built-in graphical user interface of the library.
These tutorials show how to read and write images using imgcodecs module.
These tutorials show how to read and write videos using videio module.
Although most of our images are in a 2D format they do come from a 3D world. Here you will learn how to find out 3D world information from 2D images.
Learn about how to use the feature points detectors, descriptors and matching framework found inside OpenCV.
Here you will find algorithms usable on your video streams like motion extraction, feature tracking and foreground extractions.
Ever wondered how your digital camera detects people's faces? Look here to find out!
These tutorials show how to use dnn module effectively.
Use the powerful machine learning classes for statistical classification, regression and clustering of data.
Learn how to use Graph API (G-API) and port algorithms from "traditional" OpenCV to a graph model.
使用 OpenCV 进行高级相片处理。
Learn how to create beautiful photo panoramas and more with OpenCV stitching pipeline.
Squeeze out every little computational power from your system by utilizing the power of your video card to run the OpenCV algorithms.
Run OpenCV and your vision apps on an iDevice