As on the PC, create a folder /opt/zedboard/opencv_zed, copy the file in, unzip: create two folders build, install, as shown below Here is not the same as pc, you need to set the build environment, create a new file under opencv-2.4.4, the file name is toolchain.cmake, the content is: Enter the build file, enter the command to configure: cmake -D CMAKE_TOOLCHAIN_FILE=toolchain.cmake -D CMAKE_INSTALL_PREFIX=/opt/zedboard/opencv_zed/opencv-2.4.4/install ../ Among them CMAKE_INSTALL_PREFIX, represents the installation path, it is best to create a new folder to save, in addition, the last thing is.. / Be careful not to knock a point, otherwise it will be wrong. Ccmake ./ Configure, the content of the configuration is all the options starting with WITH are all OFF, (except WITH_V4L is selected as ON) Because these require third-party library support, if you choose these, you need to install third-party libraries. Press c to configure, press g to generate and save After the configuration is complete, enter make to start compiling. After the compilation is complete, it is make install. After the installation is complete, the runtime is in the install folder. IplImage* doCanny( Int main( int argc, char** argv ) If you want to run on the zedboard board, you need to copy the opencv cross-compiled library to the board. As with qt, you need to make a mirror. For opencv, you only need to mirror the contents of the lib file. (If you use this image to run, there will be a problem, that is, you can not find the stdc++.so library when running, so you need to copy this library to /opt/zedboard/opencv_zed/opencv-2.4.4/install/ Lib, the source file is in the cross compiler, the total command is: Cp /root/CodeSourcery/Sourcery_CodeBench_Lite_for_Xilinx_GNU_Linux/arm-xilinx-linux-gnueabi/libc/usr/lib/libstdc++.so* /opt/zedboard/opencv_zed/opencv-2.4.4/install/lib). The /usr/lib folder that is mounted to zedboard can be run under: Make the mirroring process: KNB6-63 Miniature Circuit Breaker
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Set(CMAKE_SYSTEM_NAME Linux)
Set(CMAKE_SYSTEM_PROCESSOR arm)
Set(CMAKE_C_COMPILER /root/CodeSourcery/Sourcery_CodeBench_Lite_for_Xilinx_GNU_Linux/bin/arm-xilinx-linux-gnueabi-gcc)
Set(CMAKE_CXX_COMPILER /root/CodeSourcery/Sourcery_CodeBench_Lite_for_Xilinx_GNU_Linux/bin/arm-xilinx-linux-gnueabi-g++) 
Create a new folder dedicated to writing programs mkdir /opt/zedboard/opencv_zed/code
Create a new test program inside:
Vim edge_detecTIon.cpp This code is the one in the textbook:
/*code*/
#include "cv.h"
#include "highgui.h"
IplImage* in,
Double lowThresh,
Double highThresh,
Double aperture)
{
If (in->nChannels != 1)
return (0); // Canny only handles gray scale images
IplImage* out = cvCreateImage(
cvGetSize( in ),
In->depth, //IPL_DEPTH_8U,
1);
cvCanny( in, out, lowThresh, highThresh, aperture );
Return( out );
};
{
If(argc!= 3)printf("arguments error! format origin_image.bmp target_image.bmp");
IplImage* img_rgb = cvLoadImage( argv[1] );
IplImage * img_gry = cvCreateImage (cvSize (img_rgb-> width, img_rgb-> height), img_rgb-> depth, 1);
cvCvtColor(img_rgb, img_gry, CV_BGR2GRAY);
// cvNamedWindow("Example Gray", CV_WINDOW_AUTOSIZE );
// cvNamedWindow("Example Canny", CV_WINDOW_AUTOSIZE );
// cvShowImage("Example Gray", img_gry );
IplImage * img_cny = doCanny (img_gry, 10, 100, 3);
If(cvSaveImage(argv[2],img_cny,0)!=0)
Printf("Save Image Successful");
// cvShowImage("Example Canny", img_cny );
// cvWaitKey(0);
cvReleaseImage( &img_rgb);
cvReleaseImage( &img_gry);
cvReleaseImage( &img_cny);
// cvDestroyWindow("Example Gray");
// cvDestroyWindow("Example Canny");
Return 0;
}
Copy a lena image, preferably a .jpg format and a .bmp format (for comparison), and enter the following command to cross-compile
Arm-xilinx-linux-gnueabi-g++ -I /opt/zedboard/opencv_zed/opencv-2.4.4/install/include -I/opt/zedboard/opencv_zed/opencv-2.4.4/install/include/opencv -L/ opt / zedboard / opencv_zed / opencv-2.4.4 / install / lib -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ml -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann ./edge_detecTIon.cpp -o ./edge_detecTIon.o 
