{"id":1020,"date":"2015-09-29T20:04:22","date_gmt":"2015-09-30T03:04:22","guid":{"rendered":"http:\/\/visualgdb.com\/w\/?p=1020"},"modified":"2015-09-30T11:15:50","modified_gmt":"2015-09-30T18:15:50","slug":"using-opencv-with-raspberry-pi-2-camera","status":"publish","type":"post","link":"https:\/\/visualgdb.com\/tutorials\/raspberry\/opencv\/camera\/","title":{"rendered":"Using OpenCV with Raspberry Pi 2 Camera"},"content":{"rendered":"

This tutorial shows how to use the OpenCV library to process the images obtained from the OpenCV camera. Before you begin, follow this tutorial<\/a> to cross-compile the OpenCV library for Raspberry Pi or this one<\/a> to use a pre-built one and this tutorial<\/a> to setup the raspicam library that allows obtaining images from the Raspberry Pi camera.<\/p>\n

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  1. Start Visual Studio and open the project created during the Raspberry Pi camera tutorial<\/a>:\"01-camprj\"<\/a><\/li>\n
  2. Our first step will be to modify the RaspiCam project to support OpenCV. Open the VisualGDB Project Properties for it and add the OpenCV build directory from this tutorial<\/a> (or\u00a0<sysroot>\\usr\\share\\OpenCV if using a pre-built OpenCV) to the CMAKE_PREFIX_PATH variable for the CMake command:\"02-prefix\"<\/a><\/li>\n
  3. Rebuild the RaspiCam project. Ensure that OpenCV is detected:\"03-buildcv\"<\/a>If OpenCV is not detected, double-check that the directory specified in the previous step contains the OpenCVConfig.cmake<\/strong> file.<\/li>\n
  4. Add another project to the solution using the VisualGDB Linux Project Wizard:\"04-camera\"<\/a><\/li>\n
  5. Select “New Project->Application->CMake”:\"05-cmake\"<\/a><\/li>\n
  6. Then select “Build the project locally” and ensure that Raspberry Pi is still selected as the deployment machine:\"06-cross\"<\/a><\/li>\n
  7. Once the project is created, add the OpenCV build directory (or <sysroot>\\usr\\share\\OpenCV) to the CMAKE_PREFIX_PATH variable of the CMake command for the newly created project:\"07-prefix\"<\/a><\/li>\n
  8. Add the following lines to CMakeLists.txt in the new project:\n
    find_package(OpenCV REQUIRED)\r\n\r\nocv_include_directories(\"${OpenCV_SOURCE_DIR}\/include\")\r\nocv_include_modules_recurse(${OPENCV_CPP_SAMPLES_REQUIRED_DEPS})\r\ntarget_link_libraries(OpenCVCameraDemo -L${CMAKE_SOURCE_DIR}\/..\/..\/raspicam-0.1.3\/build\/Debug\/src ${OpenCV_LIBS} raspicam_cv raspicam \"${LIBRARIES_FROM_REFERENCES}\")\r\ninclude_directories(..\/..\/raspicam-0.1.3\/src)<\/pre>\n
    Replace ..\/..\/raspicam-0.1.3 with the relative path to the raspicam project:\"08-cmakefile\"<\/a>If you are using OpenCV 2.x, use ocv_include_modules()<\/strong> instead of ocv_include_modules_recurse()<\/strong>.<\/li>\n
  9. To speed up building the solution, you can remove the non-OpenCV demo project and disable building for the RaspiCam library:\"09-nobuild\"<\/a><\/li>\n
  10. As the new camera demo project uses complex CMake macros that cannot be parsed without querying CMake explicitly, enable the corresponding checkbox for the newly created project and rebuild it:\"10-flags\"<\/a><\/li>\n
  11. First of all, we will create a very basic program that will grab images from the camera and display them using the OpenCV API:\n