cvlabmiet/cvclasses19

Computer Vision Classes 2019

Computer Vision Classes 2019

Overview

This is a Computer Vision classes prepared for the 2nd-year M.D. students. Course includes topics covering basic areas of computer vision. It takes 16 seminars-discussion lessons and 8 practical lessons. Most practical lessons will be based on using of the latest OpenCV library. All materials and tasks will be hosted in this repository and available for all students. All program code is written using c++17.

Required Knowledge

• Basics of Digital Signal Processing
• Basics of Digital Image Processing
• Git experience
• C++ experience

Course Plan

Course consist of

• 26 seminars/practical lessons.
• 7 individual programming tasks.

2019 plan

Repository Overview

The structure of repository is described below:

.
├── cmake       | Contains cmake helper functions for checkstyle and ctest
├── cvlib       | Simple Computer Vision Library to be developed in this course
│   ├── include | Public API
│   ├── src     | Internal sources
│   └── tests   | Unit-Tests based on Catch2 framework
└── demo        | Demo Application based on algorithms of cvlib

Tools Overview

Please ensure you have following instruments and settings to start the work:

• Git
• CMake >=3.9
• OpenCV latest
• gcc>=7.3 / Visual Studio 15 2017 Win64
• Camera to execute demo applications

Build Steps

1. Register github account if you haven't it yet.
2. Meet with git and practice locally.
3. Fork current repository.
4. Configure git locally.

Linux

Prerequesties:

$ sudo apt install gcc-7
$ sudo apt install libopencv-dev

Build

Stay in root folder of the repository:

$ mkdir build && cd build
$ cmake ..
$ make checkstyle
$ make
$ ctest

Run

Run Unit-Tests:

build/ $ ./cvlib/cvlib_tests

Run Demo:

build/ $ ./demo/cvlib_demo

Windows

Prerequesties:

1. Install latest CMake x64

2. Download and unpack binaries of OpenCV.

3. Add system environment variables, example:

   OPENCV_DIR="C:\Users\roman\Downloads\opencv\build"
   PATH="%PATH%;%OPENCV_DIR%\x64\vc15\bin"
   

4. Install Visual Studio 2017.

Build

Stay in root folder of the repository:

$ mkdir build && cd build
build/ $ cmake .. -G "Visual Studio 15 2017 Win64"
build/ $ cmake --build . --config Release

Note: checkstyle is disabled in WIN32 environment.

Run Demo:

build/ $ ./demo/Release/cvlib_demo.exe

Contacts

Any issues/suggestions/questions may be:

• asked directly by email golovanov@org.miet.ru;
• created as separate issue in this repository.