cmake编译与测试opencv4

2019-11-28

保证已经安装：

GCC 4.4.x or later
CMake 2.8.7 or higher
Git
GTK+2.x or higher, incuding headers(libgtk2.0-dev)
pkg-config
Python 2.6 or later and Numpy 1.5 or later with developer package (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 可通过以下命令安装

# [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

1 编译opencv

1.1 下载opencv4源码

打开opencv sources，下载源码Sources

1.2 CMake编译opencv4库

进入opencv源码目录，创建build文件夹

cd opencv
mkdir build
cd build

配置CMAKE参数，例如

CMAKE_BUILD_TYPE=Release 设置编译版本
CMAKE_INSTALL_PREFIX=/usr/local 设置opencv库的安装目录

cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr/local ..

此时，opencv库将被安装在/usr/local目录中

2 测试opencv4

新建测试文件DisplayImage.cpp

#include <stdio.h>
#include "opencv2/opencv.hpp"

using namespace cv;

int main(int argc, char **argv)
{
    if(argc != 2){
        printf("usage: DisplayImage.out <Image_Path>\n")
        return -1;
    }

    Mat image;
    image = imread(argv[1], 1);

    if(!image.data){
        printf("No image data\n")
        return -1;
    }

    namedWindow("Display Image", WINDOW_AUTOSIZE);
    imshow("Display Image", image);

    waitKey(0);
    return 0;
}

新建CMakeLists.txt文件

cmake_minimum_required(VERSION 2.8)

project(DisplayImage)

set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CXX_STANDARD_REQUIRED TRUE)

find_package(OpenCV HINTS "/usr/local/opencv") # “/usr/local/opencv” is the path of compiled opencv
include_directories(${OpenCV_INCLUDE_DIRS})
aux_source_directory(. DIR_SRCS)
add_executable(DisplayImage ${DIR_SRCS})
target_link_libraries(DisplayImage ${OpenCV_LIBS})

接下来cmake，可能需要安装提示将cuda指定版本

cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-9=8.0 .

最后直接make即可编译二进制可执行文件。