Introduction to OpenCV - build and install OpenCV on your computer
The Core Functionality (core module) - basic building blocks of the library
Image Processing (imgproc module) - image processing functions
High Level GUI and Media (highgui module) - built-in graphical user interface
Image Input and Output (imgcodecs module) - read and write images from/to files using imgcodecs module
Video Input and Output (videoio module) - read and write videos using videio module
Camera calibration and 3D reconstruction (calib3d module) - extract 3D world information from 2D images
2D Features framework (feature2d module) - feature detectors, descriptors and matching framework
Video analysis (video module) - algorithms for video streams: motion detection, object and feature tracking, etc.
Object Detection (objdetect module) - detect objects using conventional CV methods
Deep Neural Networks (dnn module) - infer neural networks using built-in dnn module
Machine Learning (ml module) - machine learning algorithms for statistical classification, regression and data clustering
Graph API (gapi module) - graph-based approach to computer vision algorithms building
Computational photography (photo module) - advanced photo processing
Images stitching (stitching module) - create panoramas and more using stitching module
OpenCV iOS - running OpenCV on an iDevice
GPU-Accelerated Computer Vision (cuda module) - utilizing power of video card to run CV algorithms