Computer Vision Examples

This project contains code examples created in Visual Studio Code for Computer Vision using C++ & OpenCV & Point Cloud Library (PCL). These examples are created for the Computer Vision Subject of Robotics Software Engineering Degree at URJC.

Installation

Open Ubuntu terminal and follow the next steps:

1. Install dependencies:

sudo apt install build-essential cmake git pkg-config libgtk-3-dev \
    libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
    libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
    gfortran openexr libatlas-base-dev python3-dev python3-numpy \
    libtbb2 libtbb-dev libdc1394-22-dev

2. Clone OpenCV and Contrib repositories:

mkdir ~/opencv_build && cd ~/opencv_build
git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git

3. Create temporary build directory:

cd ~/opencv_build/opencv
mkdir build
cd build

4. Setup OpenCV:

cmake -D CMAKE_BUILD_TYPE=RELEASE \
    -D CMAKE_INSTALL_PREFIX=/usr/local \
    -D INSTALL_C_EXAMPLES=ON \
    -D INSTALL_PYTHON_EXAMPLES=ON \
    -D OPENCV_GENERATE_PKGCONFIG=ON \
    -D OPENCV_EXTRA_MODULES_PATH=~/opencv_build/opencv_contrib/modules \
    -D BUILD_EXAMPLES=ON ..\
    -D OPENCV_ENABLE_NONFREE=ON

5. Compilation process:

make -j8

6. Installation process:

sudo make install

7. Import OpenCV package:

pkg-config opencv4 --cflags --libs

8. Add in ~/.bashrc:

echo 'export LD_LIBRARY_PATH=$LS_LIBRARY_PATH:/usr/local/lib/' >> ~/.bashrc

9. Load the libraries into the current shell:

source ~/.bashrc

About

This is a project made by José Miguel Guerrero, Assistant Professor at Universidad Rey Juan Carlos. Copyright © 2021.