microservice-opencv/README.md

## Swarmlab is a collection of services that aims to

 > -    provide teachers and professors with online remote tools to do their lessons
 > 
 > -    give students the opportunity to study real life examples in their chosen area of expertise
 > 
 > -    allow developers to fully test and debug their applications and provide POC’s
 > 
 > -    or you simply want to use a Application (in a microservices-based architecture)
 > 
 >  Swarmlab provides you with all the required tools, tools to teach work or try out demos in a completely virtual environment.
 > 
 > More info: http://docs.swarmlab.io/SwarmLab-HowTos/swarmlab/docs/swarmlab/docs/index.html




![alt text](images/swarmlab-network.png "")

##  LabInstance opencv

Instance  with python 3.7 and opencv 4.1.0

OpenCV (Open Source Computer Vision Library) is an open-source library that includes several hundreds of computer vision algorithms. 
The document describes the so-called OpenCV 2.x API, which is essentially a C++ API, as opposed to the C-based OpenCV 1.x API (C API is deprecated and not tested with "C" compiler since OpenCV 2.4 releases)

OpenCV has a modular structure, which means that the package includes several shared or static libraries. The following modules are available:

* 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.

https://docs.opencv.org/4.x/

## Quickstart

This is a quickstart guide of howto use this 


### Default Configuration 

- Working Directory

> /home/docker/project

- Default user

> docker

- Default password

> docker

- Default password4root

> pass



### RUN INSTANCE

Swarmlab services can be run in different ways. 

- 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**



#### CLI

> git clone ...
>
> cd [DIRECTORY]
>

#### help
>
> make help
>

#### create service
>
> make create
>

#### start service
>
> make start
>

#### stop service
>
> make stop
>

#### list service
>
> make list
>

#### clean service
>
> make clean
>