OpenVINO study notes (4): using OpenCV

OpenVINO study notes (4): using OpenCV

• This section focuses on how to use OpenVINO record of OpenCV library.

1. Create a new project

• Open VS2017, click File, then click New, and finally click on the project, create an empty project.

2. Configure the directory that contains

• Open Debug | x64 property page in the directory that contains the VC ++ add the following

  C:\IntelSWTools\openvino_2020.1.033\opencv\include
  

  

3. Configure library directory

• Add the following VC ++ library directory

  C:\IntelSWTools\openvino_2020.1.033\opencv\lib
  

  

4. Configuration linker input

• Add the following input> - the linker:

  opencv_calib3d420d.lib
  opencv_core420d.lib
  opencv_dnn420d.lib
  opencv_features2d420d.lib
  opencv_flann420d.lib
  opencv_gapi420d.lib
  opencv_highgui420d.lib
  opencv_imgcodecs420d.lib
  opencv_imgproc420d.lib
  opencv_ml420d.lib
  opencv_objdetect420d.lib
  opencv_photo420d.lib
  opencv_stitching420d.lib
  opencv_video420d.lib
  opencv_videoio420d.lib
  

5. Set Environment Variables

• Add the following environment variables:

  C:\IntelSWTools\openvino_2020.1.033\opencv\include
  

6. Run the test code

• Add new entries in the source file, named: main.cpp. Add the following code in it:

  #include <opencv2/opencv.hpp>
  #include <iostream>
  
  using namespace cv;
  
  int main(int argc, char** argv) {
    Mat src = imread("./lenacolor.png");  //读取图片
    imshow("input", src); //显示图片
    waitKey(0); //等待用户按键
    destroyAllWindows(); //摧毁所有显示图片的窗口
    return 0;
  }
  

• If it is successful, the following results:
  

7. Conclusion

• If there is something wrong place, or areas for improvement, please correct me.
• Contact email: [email protected]
• This article to an end.