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105 lines
2.7 KiB
105 lines
2.7 KiB
= LabInstance opencv!
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== Quickstart
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This is a quickstart guide of howto use this *LabInstance*
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=== Default Configuration
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- Working Directory
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> /home/docker/project
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- Default user
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> docker
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- Default password
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> docker
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- Default password4root
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> pass
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== LabInstance Info
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Instance with python 3.7 and opencv 4.1.0
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OpenCV (Open Source Computer Vision Library) is an open-source library that includes several hundreds of computer vision algorithms.
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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)
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OpenCV has a modular structure, which means that the package includes several shared or static libraries. The following modules are available:
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* 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.
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* 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.
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* Video Analysis (video) - a video analysis module that includes motion estimation, background subtraction, and object tracking algorithms.
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* 3d (3d) - basic multiple-view geometry algorithms, object pose estimation and elements of 3D reconstruction.
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* 2D Features Framework (features2d) - salient feature detectors, descriptors, and descriptor matchers.
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* Object Detection (objdetect) - detection of objects and instances of the predefined classes (for example, faces, eyes, mugs, people, cars, and so on).
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* Camera Calibration (calib) - single and stereo camera calibration
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* Stereo Correspondence (stereo) - stereo correspondence algorithms
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* High-level GUI (highgui) - an easy-to-use interface to simple UI capabilities.
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* Video I/O (videoio) - an easy-to-use interface to video capturing and video codecs.
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* ... some other helper modules, such as FLANN and Google test wrappers, Python bindings, and others.
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== More info
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https://docs.opencv.org/4.x/[^]
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== RUN INSTANCE
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Swarmlab services can be run in different ways.
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- You can run them **through the swarmlab hybrid environment** (http://docs.swarmlab.io/SwarmLab-HowTos/swarmlab/docs/swarmlab/docs/hybrid/start-microservices.html)
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- or use them individually at will on the **command line of your system**
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=== CLI
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> git clone ...
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> cd [DIRECTORY]
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=== help
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> make help
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==== create service
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> make create
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=== start service
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> make start
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=== stop service
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> make stop
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=== list service
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> make list
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=== clean service
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> make clean
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