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 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.

• Introduction to OpenCV

  You will learn how to setup OpenCV on your computer

• The Core Functionality (core module)

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

• Image Processing (imgproc module)

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

• High Level GUI and Media (highgui module)

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

• Image Input and Output (imgcodecs module)

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

• Video Input and Output (videoio module)

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

• Camera calibration and 3D reconstruction (calib3d 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.

• 2D Features framework (feature2d module)

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

• Video analysis (video module)

  Here you will find algorithms usable on your video streams like motion extraction, feature tracking and foreground extractions.

• Object Detection (objdetect module)

  Ever wondered how your digital camera detects people’s faces? Look here to find out!

• Machine Learning (ml module)

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

• Computational photography (photo module)

  Use OpenCV for advanced photo processing.

• Images stitching (stitching module)

  Learn how to create beautiful photo panoramas and more with OpenCV stitching pipeline.

• GPU-Accelerated Computer Vision (cuda module)

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

• OpenCV iOS

  Run OpenCV and your vision apps on an iDevice

• OpenCV Viz

  These tutorials show how to use Viz module effectively.

Related Pages:

2D Features framework (feature2d module)

AKAZE and ORB planar tracking

AKAZE local features matching

Creating yor own corner detector

Detecting corners location in subpixeles

Detection of planar objects

Feature Description

Feature Detection

Feature Matching with FLANN

Features2D + Homography to find a known object

Harris corner detector

Shi-Tomasi corner detector

Camera calibration and 3D reconstruction (calib3d module)

Camera calibration With OpenCV

Camera calibration with square chessboard

Interactive camera calibration application

Real Time pose estimation of a textured object

Computational photography (photo module)

High Dynamic Range Imaging

GPU-Accelerated Computer Vision (cuda module)

Similarity check (PNSR and SSIM) on the GPU

Using a cv::cuda::GpuMat with thrust

High Level GUI and Media (highgui module)

Adding a Trackbar to our applications!

Image Input and Output (imgcodecs module)

Reading Geospatial Raster files with GDAL

Image Processing (imgproc module)

Adding borders to your images

Affine Transformations

Back Projection

Basic Thresholding Operations

Canny Edge Detector

Convex Hull

Creating Bounding boxes and circles for contours

Creating Bounding rotated boxes and ellipses for contours

Eroding and Dilating

Extract horizontal and vertical lines by using morphological operations

Finding contours in your image

Histogram Calculation

Histogram Comparison

Histogram Equalization

Hit-or-Miss

Hough Circle Transform

Hough Line Transform

Image Moments

Image Pyramids

Image Segmentation with Distance Transform and Watershed Algorithm

Laplace Operator

Making your own linear filters!

More Morphology Transformations

Point Polygon Test

Remapping

Smoothing Images

Sobel Derivatives

Template Matching

Thresholding Operations using inRange

Images stitching (stitching module)

High level stitching API (Stitcher class)

Introduction to OpenCV

Android Development with OpenCV

Building OpenCV for Tegra with CUDA

Cross compilation for ARM based Linux systems

How to build applications with OpenCV inside the “Microsoft Visual Studio”

Image Watch: viewing in-memory images in the Visual Studio debugger

Installation in Linux

Installation in Windows

Installation in iOS

Introduction into Android Development

Introduction to Java Development

Introduction to OpenCV Development with Clojure

Load and Display an Image

Load, Modify, and Save an Image

OpenCV4Android SDK

Transition guide

Use OpenCL in Android camera preview based CV application

Using OpenCV Java with Eclipse

Using OpenCV with Eclipse (plugin CDT)

Using OpenCV with biicode dependency manager

Using OpenCV with gcc and CMake

Writing documentation for OpenCV

Machine Learning (ml module)

Introduction to Principal Component Analysis (PCA)

Introduction to Support Vector Machines

Support Vector Machines for Non-Linearly Separable Data

Object Detection (objdetect module)

Cascade Classifier

Cascade Classifier Training

OpenCV Viz

Creating Widgets

Launching Viz

Pose of a widget

Transformations

OpenCV iOS

OpenCV iOS - Image Processing

OpenCV iOS - Video Processing

OpenCV iOS Hello

The Core Functionality (core module)

Adding (blending) two images using OpenCV

Basic Drawing

Changing the contrast and brightness of an image!

Discrete Fourier Transform

File Input and Output using XML and YAML files

How to scan images, lookup tables and time measurement with OpenCV

How to use the OpenCV parallel_for_ to parallelize your code

Intel® IPP Asynchronous C/C++ library in OpenCV

Interoperability with OpenCV 1

Mask operations on matrices

Mat - The Basic Image Container

Operations with images

Random generator and text with OpenCV

Video Input and Output (videoio module)

Creating a video with OpenCV

Using Creative Senz3D and other Intel Perceptual Computing SDK compatible depth sensors

Using Kinect and other OpenNI compatible depth sensors

Video Input with OpenCV and similarity measurement

Video analysis (video module)

How to Use Background Subtraction Methods