opencv-install.md

OPENCV Install

reference

[https://docs.opencv.org/3.3.0/d7/d9f/tutorial_linux_install.html]

Required Packages

• GCC 4.4.x or later
• CMake 2.8.7 or higher
• Git
• GTK+2.x or higher, including headers (libgtk2.0-dev)
• pkg-config
• Python 2.6 or later and Numpy 1.5 or later with developer packages (python-dev, python-numpy)
• ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev
• [optional] libtbb2 libtbb-dev
• [optional] libdc1394 2.x
• [optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev, libdc1394-22-dev
• [optional] CUDA Toolkit 6.5 or higher

# compiler
sudo apt-get install build-essential

# required
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev

# optional
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

JAVA & ANT

• java [https://www.oracle.com/technetwork/java/jdk8-downloads-2133151.html]
• ant [https://ant.apache.org/bindownload.cgi]
• 두개다 binary를 받은 후 압축 풀고 환경변수 추가 JAVA_HOME, JRE_HOME, ANT_HOME

Getting OpenCV Source Code

git clone https://github.com/opencv/opencv.git

Building OpenCV from Source Using CMake

cd opencv
mkdir build
cd build

cmake -D CMAKE_BUILD_TYPE=Release \
-D CMAKE_INSTALL_PREFIX=/use/local \
-D BUILD_SHARED_LIBS=OFF ..

make -j 4 # number 4 is jobs count
sudo make install

• java를 사용하기위해 BUILD_SHARED_LIBS=OFF 옵션

Running tests

• git clone https://github.com/opencv/opencv_extra.git opencv_extra를 build 디렉토리에 그대로 clone한다

<cmake_build_dir>/bin/opencv_test_core