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Ubuntu - OpenCV 源码安装与测试
Ubuntu16.04 中,OpenCV 多版本的升级与安装.1. OpenCV 编译安装1.1. 查看 Ubun...
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03
2019/01

Ubuntu - OpenCV 源码安装与测试

Ubuntu16.04 中,OpenCV 多版本的升级与安装.

1. OpenCV 编译安装

1.1. 查看 Ubuntu 当前的 OpenCV 版本

pkg-config --modversion opencv
# 2.4.9.1

/usr/bin/usr/include路径里包含了默认 OpenCV 版本的相关文件.

1.2. 依赖库安装

[1] - 官方必须依赖库

sudo apt-get update
sudo apt-get install cmake git
sudo apt-get install build-essential \
                     libgtk2.0-dev \
                     pkg-config \
                     libavcodec-dev \
                     libavformat-dev 

[2] - 官方建议依赖库

sudo apt-get install python-dev \
                     libtbb2 \
                     libtbb-dev \
                     libjpeg-dev \
                     libpng-dev \
                     libtiff-dev \
                     libjasper-dev \
                     libdc1394-22-dev

[3] - OPENGL 支持依赖库

sudo apt-get install freeglut3-dev \
                     mesa-common-dev \
                     libgtkglext1 \
                     libgtkglext1-dev

[4] - 视频解码支持依赖库

sudo apt-get install checkinstall \
                     yasm \
                     libgstreamer0.10-dev \
                     libgstreamer-plugins-base0.10-dev \
                     libv4l-dev \
                     libtbb-dev \
                     libqt4-dev \
                     libgtk2.0-dev \
                     libmp3lame-dev \
                     libtheora-dev \
                     libvorbis-dev \
                     libxvidcore-dev \
                     x264 \
                     v4l-utils

[5] - 其它可能依赖项

sudo apt-get install libgphoto2-dev \
                     libavresample-dev \ 
                     liblapacke-dev \
                     gtk+-3.0 \
                     libgtk-3-dev \ 
                     libeigen3-dev \ 
                     tesseract-ocr \
                     liblept5 \
                     leptonica-progs \
                     libleptonica-dev

1.3. OpenCV 源码下载

下载路径:

https://github.com/opencv/opencv/releases

1.4. OpenCV 3.4 编译安装

假设路径为 ROOT_DIR = /opt/opencv3.4/

cd $ROOT_DIR
mkdir build
cd build 
cmake -D CMAKE_BUILD_TYPE=RELEASE \
      -D CMAKE_INSTALL_PREFIX=/usr/local/opencv34 ..
# cmake -D WITH_TBB=ON 
#         -D BUILD_NEW_PYTHON_SUPPORT=ON \
#        -D WITH_V4L=ON \
#        -D INSTALL_C_EXAMPLES=ON \
#        -D INSTALL_PYTHON_EXAMPLES=ON \
#        -D BUILD_EXAMPLES=ON \
#        -D WITH_QT=ON \
#        -D WITH_OPENGL=ON ..
make -j4
sudo make install

在编译安装时,ippicv 库的下载文件 - ippicv_2019_lnx_intel64_general_20180723.tgz 速度特别慢.

因此,采用离线下载文件,再进行编译.

ippicv_2019_lnx_intel64_general_20180723.tgz 文件下载:

百度网盘链接: https://pan.baidu.com/s/1mVTSdn6hTgo8P3ASKauyDg 提取码: hiux

假设 ippicv_2019_lnx_intel64_general_20180723.tgz放置于 ROOT_DIR/3rdparty/ippicv/ 路径,

并修改 ROOT_DIR/3rdparty/ippicv/ippicv.cmake 文件(47 行):

修改前:

41  set(THE_ROOT "${OpenCV_BINARY_DIR}/3rdparty/ippicv")
42  ocv_download(FILENAME ${OPENCV_ICV_NAME}
43               HASH ${OPENCV_ICV_HASH}
44               URL
45                 "${OPENCV_IPPICV_URL}"
46                 "$ENV{OPENCV_IPPICV_URL}"
47                 "https://raw.githubusercontent.com/opencv/opencv_3rdparty/${IPPICV_COMMIT}/ippicv/"
48               DESTINATION_DIR "${THE_ROOT}"
49               ID IPPICV
50               STATUS res
51               UNPACK RELATIVE_URL)

修改后:

41  set(THE_ROOT "${OpenCV_BINARY_DIR}/3rdparty/ippicv")
42  ocv_download(FILENAME ${OPENCV_ICV_NAME}
43               HASH ${OPENCV_ICV_HASH}
44               URL
45                 "${OPENCV_IPPICV_URL}"
46                 "$ENV{OPENCV_IPPICV_URL}"
47                 "file: ROOT_DIR/3rdparty/ippicv/ippicv_2019_lnx_intel64_general_20180723.tgz"
48               DESTINATION_DIR "${THE_ROOT}"
49               ID IPPICV
50               STATUS res
51               UNPACK RELATIVE_URL)

修改后,下载 ippicv文件时,会自动从本地文件加载.

1.5. OpenCV 4.0.1 (最新版本) 编译安装

假设路径为 ROOT_DIR = /opt/opencv-4.0.1/

cd $ROOT_DIR
mkdir build
cd build 
cmake -D CMAKE_BUILD_TYPE=RELEASE \
      -D BUILD_NEW_PYTHON_SUPPORT=ON \
      -D CMAKE_INSTALL_PREFIX=/usr/local/opencv-4.0.1 \
      -D OPENCV_GENERATE_PKGCONFIG=ON ..
#cmake -D CMAKE_BUILD_TYPE=RELEASE \
#      -D CMAKE_INSTALL_PREFIX=/usr/local/opencv-4.0.1 \
#      -D WITH_CUDA=ON \
#      -D OPENCV_EXTRA_MODULES_PATH=/opt/opencv_contrib/modules 
#      -D WITH_CUBLAS=1 \
#      -D ENABLE_FAST_MATH=1 \
#      -D CUDA_FAST_MATH=1 \
#      -D WITH_CUFFT=ON \
#      -D WITH_NVCUVID=ON \
#      -D WITH_V4L=ON \
#      -D WITH_LIBV4L=ON \
#      -D WITH_OPENGL=ON \
#      -D WITH_FFMPEG=ON \
#      -D BUILD_TIFF=ON \
#      -D WITH_LAPACK=OFF..
#     -D INSTALL_C_EXAMPLES=ON \
#     -D BUILD_EXAMPLES=ON ..
make
sudo make install

1.5.1 OpenCV 4.0.1 CUDA 编译问题

[1] - -DWITH_CUDA=ON 需要设置 -DOPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules

[2] - 如果没有contrib, make 的时候会出现错误:gpu_mat.cu:47:2: error: #error "opencv_cudev is required".

Github - opencv_contrib

[3] - 在 opencv_contrib/modules/face 中会要下载 face_landmark_model.dat 文件(69M),也会遇到下载慢的问题,可以采用类似于 ippicv 库的处理方式.

face_landmark_model.mat 下载路径:

https://github.com/opencv/opencv_3rdparty/tree/contrib_face_alignment_20170818

opencv_contrib/modules/face/CMakeLists.txt 文件:

set(__commit_hash "8afa57abc8229d611c4937165d20e2a2d9fc5a12")
set(__file_hash "7505c44ca4eb54b4ab1e4777cb96ac05")
ocv_download(
    FILENAME face_landmark_model.dat
    HASH ${__file_hash}
    URL
      "${OPENCV_FACE_ALIGNMENT_URL}"
      "$ENV{OPENCV_FACE_ALIGNMENT_URL}"
      "https://raw.githubusercontent.com/opencv/opencv_3rdparty/${__commit_hash}/"
    DESTINATION_DIR "${CMAKE_BINARY_DIR}/${OPENCV_TEST_DATA_INSTALL_PATH}/cv/face/"
    ID "data"
    RELATIVE_URL
    STATUS res
)
if(NOT res)
  message(WARNING "Face: Can't get model file for face alignment.")
endif()

将离线下载的 face_landmark_model.dat 放到 /opt/opencv-4.0.1/build/share/opencv4/testdata/cv/face/ 路径中.

1.6. 环境变量设置

配置 OpenCV 编译环境:

编辑或新建 /etc/ld.so.conf.d/opencv.conf:

sudo gedit /etc/ld.so.conf.d/opencv.conf

文件尾部添加如下内容:

/usr/local/opencv-4.0.1/lib

生效配置文件:

sudo ldconfig
sudo gedit ~/.bashrc

在该文件尾部添加如下行内容:

export PKG_CONFIG_PATH=/usr/local/opencv-4.0.1/lib/pkgconfig:$PKG_CONFIG_PATH
export LD_LIBRARY_PATH=/usr/local/opencv-4.0.1/lib:$LD_LIBRARY_PATH

环境变量生效:

source ~/.bashrc

查看opencv版本及库信息:

pkg-config --modversion opencv4
# 4.0.1
pkg-config --libs opencv4
pkg-config --cflags opencv4

1.7. OpenCV 的 cmake 使用

使用 cmake 工具时,在 CMakeLists.txt 文件中添加一下内容:

set(OpenCV_DIR /usr/local/opencv-4.0.1/share/OpenCV)
find_package(OpenCV 4.0.1 REQUIRED)
include_directories(SYSTEM ${OpenCV_INCLUDE_DIRS} /usr/local/opencv-4.0.1/include)

1.8. Python 接口

sudo ln -s \
    /usr/local/opencv-4.0.1/lib/python2.7/dist-packages/cv2/python-2.7/cv2.so \
    /usr/local/lib/python2.7/dist-packages/cv2/cv2.so
sudo ln -s \
    /usr/local/opencv-4.0.1/lib/python3.5/dist-packages/cv2.cpython-35m-x86_64-linux-gnu.so \
    /usr/local/lib/python3.5/dist-packages/cv2/cv2.cpython-35m-x86_64-linux-gnu.so

2. OpenCV 测试

opencv-4.0.1 为例.

假设项目路径为:/path/to/opencv_demo/:

2.1. 例 - 显示图片

新建 opencv_test.cpp 文件:

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace cv;
using namespace std;

int main(int argc, char** argv)
{

    if ( argc != 2 )
    {
        cout << "Need to load an image ..." << endl;
        return -1;
    }
    Mat image;
    image = imread( argv[1], 1 );
    if ( image.empty() )
    {
        cout<<"No image data!"<< endl;
        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(OpenCV_DIR /usr/local/opencv-4.0.1/lib/cmake/opencv4)
find_package(OpenCV REQUIRED )
add_executable( opencv_test opencv_test.cpp )
target_link_libraries( opencv_test ${OpenCV_LIBS} )

执行:

cmake . -DCMAKE_CXX_FLAGS="-std=c++11" # opencv4.0 需要 c++ 11 支持
make
./opencv_test test.jpg

显示图片.

2.2. 例 - SURF 特征点检测

新建 surf_test.cpp 文件:

#include <iostream>
#include <vector>
#include <opencv2/xfeatures2d.hpp>
#include <opencv2/highgui.hpp>

using namespace cv;
using namespace std;

int main(int argc, char** argv)
{
    Mat img1 = imread(argv[1], 1);
    Mat img2 = imread(argv[2], 1);
    if ((img1.data == NULL)||(img2.data == NULL))
    {
        cout << "No images exist" << endl;
        return -1;
    }
    Ptr<Feature2D> surf = xfeatures2d::SURF::create(1000);

    vector<KeyPoint> keypoints_1, keypoints_2;
    Mat descriptors_1, descriptors_2;

    surf->detectAndCompute(img1, Mat(), keypoints_1, descriptors_1 );
    surf->detectAndCompute(img2, Mat(), keypoints_2, descriptors_2 );
    drawKeypoints(img1, keypoints_1, img1);
    drawKeypoints(img2, keypoints_2, img2);

    namedWindow("img1",0);
    resizeWindow("img1",500,500);
    imshow("img1", img1);

    namedWindow("img2",0);
    resizeWindow("img2",500,500);
    imshow("img2", img2);

    FlannBasedMatcher matcher;
    std::vector< DMatch > matches;
    matcher.match( descriptors_1, descriptors_2, matches );
    double max_dist = 0; double min_dist = 100;

    for( int i = 0; i < descriptors_1.rows; i++ )
    { 
        double dist = matches[i].distance;
        if( dist < min_dist ) min_dist = dist;
        if( dist > max_dist ) max_dist = dist;
    }
    printf("-- Max dist : %f \n", max_dist );
    printf("-- Min dist : %f \n", min_dist );

    std::vector< DMatch > good_matches;
    for( int i = 0; i < descriptors_1.rows; i++ )
    { 
        if( matches[i].distance <= max(2*min_dist, 0.02) )
        { 
            good_matches.push_back( matches[i]); 
        }
    }

    Mat img_matches;
    drawMatches( img1, keypoints_1, img2, keypoints_2,
                 good_matches, img_matches, Scalar::all(-1), Scalar::all(-1),
                 vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );

    namedWindow("Good Matches",0);
    resizeWindow("Good Matches",800,800);
    imshow( "Good Matches", img_matches );

    for( int i = 0; i < (int)good_matches.size(); i++ )
    { 
        printf( "-- Good Match [%d] Keypoint 1: %d  -- Keypoint 2: %d  \n",
        i, good_matches[i].queryIdx, good_matches[i].trainIdx ); 
    }

    waitKey(0);
    return 0;
}

新建 CMakeLists.txt 文件:

set(CMAKE_CXX_FLAGS "-std=c++11")    
cmake_minimum_required(VERSION 2.8)
project( SURF_test )
set(OpenCV_DIR /usr/local/opencv-4.0.1/lib/cmake/opencv4)
find_package( OpenCV REQUIRED )
add_executable( SURF_test surf_test.cpp )
target_link_libraries( SURF_test ${OpenCV_LIBS} )

执行:

cmake .
make
./surf_test c1.jpg c2.jpg
Last modification:January 18th, 2019 at 02:22 pm

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