摘要

1.源码下载
2.源码编译与安装
3.测试代码

1.源码下载

https://opencv.org/releases/ 选择对应版本的Source
https://github.com/opencv/opencv github 也是可以的。

2.源码编译

1.首先是安装Opencv依赖项

sudo apt-get install build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev liblapacke-dev libxvidcore-dev libx264-dev

1. 创建文件夹并编译
  主要流程如下：

mkdir bulid && cd bulid 
# source activate conda_env
# cmake ..  # 占位符号， 有一堆参数需要注意哈
make . 
sudo make install
sudo ldconfig

cmake .. 办法一：强制配置,参考https://blog.csdn.net/taifengzikai/article/details/84671322

cmake -D WITH_TBB=ON \ 
      -D BUILD_NEW_PYTHON_SUPPORT=ON \
      -D CMAKE_INSTALL_PREFIX=/usr/local \
      -D WITH_V4L=ON \
      -D WITH_OPENGL=ON \
      -D WITH_VTK=ON \
      -D CMAKE_BUILD_TYPE=RELEASE \
      -D OPENCV_EXTRA_MODULES_PATH=/home/fengzicai/Downloads/opencv_contrib-4.0.0/modules \
      -D WITH_IPP=OFF \,
      -D PYTHON_DEFAULT_EXECUTABLE=/home/fengzicai/anaconda3/envs/tf36/lib/python3.6 \
      -D BUILD_opencv_python3=ON \
      -D BUILD_opencv_python2=OFF \
      -D PYTHON3_EXCUTABLE=/home/fengzicai/anaconda3/envs/tf36/lib/python3.6 \
      -D PYTHON3_INCLUDE_DIR=/home/fengzicai/anaconda3/envs/tf36/include/python3.6m \
      -D PYTHON3_LIBRARY=/home/fengzicai/anaconda3/envs/tf36/lib/libpython3.6m.so.1.0 \
      -D PYTHON_NUMPY_PATH=/home/fengzicai/anaconda3/envs/tf36/lib/python3.6/site-packages \
      -D BUILD_EXAMPLES=ON \
      -D BUILD_LIBPROTOBUF_FROM_SOURCES=ON \
      -D BUILD_opencv_hdf=OFF ..

cmake .. 办法二：使用cmake-gui，操作命令和截图如下。

sudo apt install cmake-gui --fix-missing
cmake-gui

cmake-gui界面

3.测试代码

CMakeLists.txt

cmake_minimum_required(VERSION 3.13)
project(test)

set(CMAKE_CXX_STANDARD 11)
find_package(OpenCV REQUIRED) #第一步，找到包，当然是头文件之类的

add_executable(test test.cpp)
target_link_libraries(test ${OpenCV_LIBS})# 第二步，链接库，当然是so之类的

test.cpp # 打开摄像头的测试程序（复制的例子opencv-4.1.0/samples/cpp/videocapture_camera.cpp）

#include <opencv2/core.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>  // cv::Canny()
#include <iostream>

using namespace cv;
using std::cout; using std::cerr; using std::endl;

int main(int, char**)
{
    Mat frame;
    cout << "Opening camera..." << endl;
    VideoCapture capture(0); // open the first camera
    if (!capture.isOpened())
    {
        cerr << "ERROR: Can't initialize camera capture" << endl;
        return 1;
    }

    cout << "Frame width: " << capture.get(CAP_PROP_FRAME_WIDTH) << endl;
    cout << "     height: " << capture.get(CAP_PROP_FRAME_HEIGHT) << endl;
    cout << "Capturing FPS: " << capture.get(CAP_PROP_FPS) << endl;

    cout << endl << "Press 'ESC' to quit, 'space' to toggle frame processing" << endl;
    cout << endl << "Start grabbing..." << endl;

    size_t nFrames = 0;
    bool enableProcessing = false;
    int64 t0 = cv::getTickCount();
    int64 processingTime = 0;
    for (;;)
    {
        capture >> frame; // read the next frame from camera
        if (frame.empty())
        {
            cerr << "ERROR: Can't grab camera frame." << endl;
            break;
        }
        nFrames++;
        if (nFrames % 10 == 0)
        {
            const int N = 10;
            int64 t1 = cv::getTickCount();
            cout << "Frames captured: " << cv::format("%5lld", (long long int)nFrames)
                 << "    Average FPS: " << cv::format("%9.1f", (double)getTickFrequency() * N / (t1 - t0))
                 << "    Average time per frame: " << cv::format("%9.2f ms", (double)(t1 - t0) * 1000.0f / (N * getTickFrequency()))
                 << "    Average processing time: " << cv::format("%9.2f ms", (double)(processingTime) * 1000.0f / (N * getTickFrequency()))
                 << std::endl;
            t0 = t1;
            processingTime = 0;
        }
        if (!enableProcessing)
        {
            imshow("Frame", frame);
        }
        else
        {
            int64 tp0 = cv::getTickCount();
            Mat processed;
            cv::Canny(frame, processed, 400, 1000, 5);
            processingTime += cv::getTickCount() - tp0;
            imshow("Frame", processed);
        }
        int key = waitKey(1);
        if (key == 27/*ESC*/)
            break;
        if (key == 32/*SPACE*/)
        {
            enableProcessing = !enableProcessing;
            cout << "Enable frame processing ('space' key): " << enableProcessing << endl;
        }
    }
    std::cout << "Number of captured frames: " << nFrames << endl;
    return nFrames > 0 ? 0 : 1;
}

2019-06-07 22-33-59屏幕截图.png