aruco: ArUco Marker Detection

	ArUco Marker Image This example shows how to create an ArUco marker image.
	Detection of ArUco Markers Basic marker detection and pose estimation from single ArUco markers.
	ArUco Grid Board Image This example shows how to create an ArUco grid board image.
	Detection of ArUco Board Detection and pose estimation using a Board of markers (an ArUco Planar Grid board).
	ChArUco Board Image This example shows how to create a ChArUco board image.
	Detection of ChArUco Corners The example shows how to do pose estimation using a ChArUco board.
	ChArUco Diamond Image This example shows how to create a ChArUco marker image.
	Detection of Diamond Markers Detection and pose estimation using ChArUco markers.
	Camera Calibration using ArUco Board Calibration using a ArUco Planar Grid board.
	Camera Calibration using ChArUco Board Calibration using a ChArUco board.

bgsegm: Improved Background-Foreground Segmentation Methods

	Background Subtractor This demos shows how to use background subtraction methods provided by OpenCV.
	Evaluation of background subtraction algorithms Evaluation of background subtraction algorithms on synthetic sequence.

bioinspired: Biologically Inspired Vision Models and Derivated Tools

	Retina demonstration Demonstrates the use of wrapper class of the Gipsa/Listic Labs retina model.
	OpenEXR images HDR Retina tone mapping GUI High Dynamic Range retina tone mapping with the help of the Gipsa/Listic's retina.

datasets: Framework for Working with Different Datasets

The MNIST dataset of handwritten digits Demonstrates loading the MNIST dataset.

dnn_objdetect: DNN used for Object Detection

	DNN for image classification An example of how to use the SqueezeNet model to classify an image.
	Object Detection using Convolutional Neural Networks An example of how to use the SqueezeDet model to predict object bounding boxes.

face: Face Analysis

	Face recognition Demonstration of face recognition with OpenCV.
	Face landmark detection in an image Face landmark detection in an image using ensemble of regression trees (Kazemi).
	Face landmark detection in a video Detect faces in video and finds facial landmarks (Kazemi).
	Training face landmark detector Trains Kazemi model for facial landmarks detection.
	Training face landmark detector Trains Kazemi model for facial landmarks detection.
	Parameters for training face landmark detector Create configuration file with training parameters for Kazemi model.
	Facemark AAM training Trains active appearance model (AAM) for facial landmarks detection.
	Facemark LBF training Trains regressed local binary features (LBF) for facial landmarks detection.
	Face landmark detection in a video Detect faces in video and finds facial landmarks (LBF).
	Face swapping using face landmark detection Swap face in one image with another face in another image.

hfs: Hierarchical Feature Selection for Efficient Image Segmentation

Image Segmentation using Hierachical Feature Selection (HFS) Demonstrates Image Segmentation using HFS.

line_descriptor: Binary Descriptors for Lines Extracted from an Image

	Lines features This example shows the functionalities of lines extraction and descriptors computation furnished by cv.LSDDetector and cv.BinaryDescriptor classes.
	Line descriptors matching This example shows the functionalities of line descriptors matching furnished by cv.BinaryDescriptorMatcher class.
	Line descriptors radius matching This example shows the functionalities of radius matching.

optflow: Optical Flow Algorithms

	Optical Flow Evaluation Computes flow field between two images using various methods and display it (deepflow, simpleflow, sparsetodenseflow, Farneback, TV-L1).
	Global Patch Collider This sample trains the forest for the Global Patch Collider. It then finds correspondences between two images and calculates error using provided ground truth flow.

plot: Plot function for Mat data

Plotting demo Demonstrates OpenCV and MATLAB plotting.

saliency: Saliency API

Saliency Algorithms This example shows the functionality of "Saliency".

text: Scene Text Detection and Recognition

	Scene Text Detection using CNN An example of how to detect text in a scene.
	Scene Text Detection using CNN An example of how to detect text in a scene.

xfeatures2d: Extra 2D Features Framework

	Introduction to SIFT (Scale-Invariant Feature Transform) In this sample, we we show how to find SIFT Keypoints and Descriptors.
	Introduction to SURF (Speeded-Up Robust Features) SURF keypoint detection + keypoint drawing with OpenCV functions.
	BRIEF (Binary Robust Independent Elementary Features) In this demo, we will see the basics of BRIEF algorithm.
	Feature Matching SURF detector + descriptor + BruteForce/FLANN Matcher + drawing matches with OpenCV functions.
	GMS matching strategy (image) Sample demonstrates the GMS matching strategy.
	GMS matching strategy (video) Sample demonstrates the GMS matching strategy applied on video frames.

ximgproc: Extended Image Processing

	Superpixels Segmentation This program demonstrates superpixels segmentation using OpenCV classes cv.SuperpixelSEEDS, cv.SuperpixelSLIC, and cv.SuperpixelLSC.
	Line Finding with the Fast Hough transform This program demonstrates line finding with the Fast Hough transform.
	Structured Forests for Fast Edge Detection This sample demonstrates structured forests for fast edge detection, and edgeboxes.
	Graph-Based Image Segmentation A program demonstrating the use and capabilities of a particular graph based image segmentation algorithm.
	Niblack Thresholding Sample to compare Niblack thresholding against other algorithms (global thresholding and adaptive thresholding) for an image with varying illumination.
	Domain Transform Filter GUI This program demonstrates Domain Transform filtering using cv.DTFilter.
	Disparity Map Filtering In this tutorial you will learn how to use the disparity map post-filtering to improve the results of cv.StereoBM and cv.StereoSGBM algorithms.
	Fast Line Detector Compares cv.FastLineDetector against cv.LineSegmentDetector.
	Perona-Malik Anisotropic Diffusion GUI This sample demonstrates Perona-Malik anisotropic diffusion.
	Pei&Lin Normalization This program demonstrates Pei&Lin Normalization.
	Bright edges detection GUI This sample demonstrates BrightEdges detector.
	Fourier Descriptors GUI This sample demonstrates using Fourier descriptors for contour matching.

xphoto: Additional Photo Processing Algorithms

White Balancing OpenCV color balance demonstration sample.