LabInstance opencv!

Core functionality (core) - a compact module defining basic data structures, including the dense multi-dimensional array Mat and basic functions used by all other modules.

Image Processing (imgproc) - an image processing module that includes linear and non-linear image filtering, geometrical image transformations (resize, affine and perspective warping, generic table-based remapping), color space conversion, histograms, and so on.

Video Analysis (video) - a video analysis module that includes motion estimation, background subtraction, and object tracking algorithms.

3d (3d) - basic multiple-view geometry algorithms, object pose estimation and elements of 3D reconstruction.

2D Features Framework (features2d) - salient feature detectors, descriptors, and descriptor matchers.

Object Detection (objdetect) - detection of objects and instances of the predefined classes (for example, faces, eyes, mugs, people, cars, and so on).

Camera Calibration (calib) - single and stereo camera calibration

Stereo Correspondence (stereo) - stereo correspondence algorithms

High-level GUI (highgui) - an easy-to-use interface to simple UI capabilities.

Video I/O (videoio) - an easy-to-use interface to video capturing and video codecs.

…​ some other helper modules, such as FLANN and Google test wrappers, Python bindings, and others.

You can run them through the swarmlab hybrid environment (http://docs.swarmlab.io/SwarmLab-HowTos/swarmlab/docs/swarmlab/docs/hybrid/start-microservices.html)

or use them individually at will on the command line of your system