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I was working on this post for a long time, and I didn't share any information before because I Was facing a big problem to get the highgui library successfully built to our embedded system.
And as you may know, the highgui is very important when you need to open a video stream, create a camera device and even work with windows in OpenCV. Last week I managed to build it successfully using the latest Freescale's BSP (kernel 3.0.35) and I'm going to show you how to do that in the following lines. First of all, you can download the Freescale's i.MX6 BSP here ! Unfortunately getting the latest BSP doesn't mean you are going to get all the latest packages. The only things that are really update in this BSP and probably all others are the kernel and specific drivers for the current hardware you are going to work with. The most commons packages like GTK, GLIB2, PANGO, CAIRO and etc... are not updated, and in order to build the new OpenCV 2.4.X we will need to upgrade these packages and install a new one, the v4l-utils. So let's stop with this BLAH BLAH BLAH and get into what is really interesting ! Step 1 - Building the dependencies ----------------------------------------------------------- 1) Assuming you already have the BSP installed (min profile) in your host machine, you will need to upgrade the GLIB2 package and install the v2l-utils one. 2) Get the new spec files at: https://github.com/andreluizeng/ltib-pkgs-upgrade 3) the new GLIB2 now has a dependency, the LIBFFI. (you can also get the spec file of this lib in the link above. 4) Build & install the libffi as follows: mkdir ../ltib/dist/lfs-5.1/libffi cp ../git/ltib-pkgs-upgrade/libffi.spec ../ltib/dist/lfs-5.1/libffi cp ../git/ltib-pkgs-upgrade/libffi-3.0.12-includedir-1.patch /opt/freescale/pkgs cp ../downloads/libffi.tar.gz /opt/freescale/pkgs * you can find the link that you can get the libffi from. cd ../ltib ./ltib -p libffi.spec -m prep ./ltib -p libffi.spec -m scbuild ./ltib -p libffi.spec -m scdeploy 5) Build & install the new glib2 cd ../ltib cp ../git/ltib-pkgs-upgrade/glib2.spec ../ltib/dist/lfs-5.1/glib2 cp ../downloads/glib-2.35.9.tar.xz /opt/freescale/pkgs ./ltib -p glib2.spec -m prep ./ltib -p glib2.spec -m scbuild ./ltib -p glib2.spec -m scdeploy 6) Build & install the v4l-utils packages mkdir ../ltib/dist/lfs-5.1/v4l-utils cp ../git/ltib-pkgs-upgrade/v4l-utils.spec ../ltib/dist/lfs-5.1/v4l-utils cp ../downloads/v4l-utils-0.9.3.tar.bz2 /opt/freescale/pkgs cd ../ltib ./ltib -p v4l-utils.spec -m prep ./ltib -p v4l-utils.spec -m scbuild ./ltib -p v4l-utils.spec -m scdeploy After all these steps you should have the necessary dependencies built for now building the OpenCV 2.4.X. Step 2 - Cross-Compiling OpenCV-2.4.X ----------------------------------------------------------------- When Cross-compiling using cmake you need a special file containing the information about the toolchain you are going to use. In our case we can create this file as: 1) touch toolchain.cmake & vi toolchain.cmake 2) add the following information: # this one is important set( CMAKE_SYSTEM_NAME Linux ) #this one not so much set( CMAKE_SYSTEM_PROCESSOR arm ) # specify the cross compiler set( CMAKE_C_COMPILER /opt/freescale/usr/local/gcc-4.6.2-glibc- 2.13-linaro-multilib-2011.12/fsl-linaro-toolchain/bin/arm-none-linux-gnueabi-gcc ) set( CMAKE_CXX_COMPILER /opt/freescale/usr/local/gcc-4.6.2-glibc-2.13-linaro-multilib-2011.12/fsl-linaro-toolchain/bin/arm-none-linux-gnueabi-g++ ) # where is the target environment - point to your rootfs here set( CMAKE_FIND_ROOT_PATH /home/andre/bsps/imx6x/1301/ltib/rootfs ) # search for programs in the build host directories set( CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER ) # for libraries and headers in the target directories set( CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY ) set( CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY ) # point to your rootfs path here set( CMAKE_CXX_FLAGS "-L/home/andre/bsps/imx6x/1301/ltib/rootfs/usr/lib" ) 3) download OpenCV-2.4.X here or here. 4) untar the package: tar -xvf OpenCV-2.4.2.tar.bz2 5) cd OpenCV-2.4.2 mkdir build cd build cp ../../toolchain.cmake . cmake -DCMAKE_TOOLCHAIN_FILE=toolchain.cmake ../ after these steps you should have the necessary files to be built in your build directory, you now just need to configure which extra packages you want to add or remove for your OpenCV profile. In your build folder: 6) ccmake . 7) you can let your configuration similar to mine: BUILD_DOCS OFF BUILD_EXAMPLES OFF BUILD_JASPER OFF BUILD_JPEG OFF BUILD_PACKAGE ON BUILD_PERF_TESTS ON BUILD_PNG OFF BUILD_SHARED_LIBS ON BUILD_TESTS ON BUILD_TIFF OFF BUILD_WITH_DEBUG_INFO ON BUILD_ZLIB OFF BUILD_opencv_calib3d ON BUILD_opencv_contrib ON BUILD_opencv_core ON BUILD_opencv_features2d ON BUILD_opencv_flann ON BUILD_opencv_gpu ON BUILD_opencv_highgui ON BUILD_opencv_imgproc ON BUILD_opencv_legacy ON BUILD_opencv_ml ON BUILD_opencv_nonfree ON BUILD_opencv_objdetect ON BUILD_opencv_photo ON BUILD_opencv_stitching ON BUILD_opencv_ts ON BUILD_opencv_video ON BUILD_opencv_videostab ON CMAKE_BUILD_TYPE CMAKE_CONFIGURATION_TYPES Debug;Release CMAKE_INSTALL_PREFIX /home/andre/imx_applications/OpenCV-2.4.2/build/install CMAKE_TOOLCHAIN_FILE /home/andre/imx_applications/OpenCV-2.4.2/toolchain.cmake CMAKE_VERBOSE OFF CUDA_BUILD_CUBIN OFF CUDA_BUILD_EMULATION OFF CUDA_SDK_ROOT_DIR CUDA_SDK_ROOT_DIR-NOTFOUND CUDA_TOOLKIT_ROOT_DIR CUDA_TOOLKIT_ROOT_DIR-NOTFOUND CUDA_VERBOSE_BUILD OFF EIGEN_INCLUDE_PATH EIGEN_INCLUDE_PATH-NOTFOUND ENABLE_NOISY_WARNINGS OFF ENABLE_OMIT_FRAME_POINTER ON ENABLE_PRECOMPILED_HEADERS ON ENABLE_PROFILING OFF ENABLE_SOLUTION_FOLDERS OFF EXECUTABLE_OUTPUT_PATH /home/andre/imx_applications/OpenCV-2.4.2/build/bin INSTALL_C_EXAMPLES OFF INSTALL_PYTHON_EXAMPLES OFF INSTALL_TO_MANGLED_PATHS OFF LIBRARY_OUTPUT_PATH_ROOT /home/andre/imx_applications/OpenCV-2.4.2/build OPENCV_CAN_BREAK_BINARY_COMPAT OFF OPENCV_CONFIG_FILE_INCLUDE_DIR /home/andre/imx_applications/OpenCV-2.4.2/build OPENCV_WARNINGS_ARE_ERRORS OFF OPENEXR_INCLUDE_PATH OPENEXR_INCLUDE_PATH-NOTFOUND PVAPI_INCLUDE_PATH PVAPI_INCLUDE_PATH-NOTFOUND PYTHON_PACKAGES_PATH lib/python2.7/site-packages WITH_1394 ON WITH_CUBLAS OFF WITH_CUDA OFF WITH_CUFFT ON WITH_EIGEN ON WITH_FFMPEG ON WITH_GSTREAMER ON WITH_GTK ON WITH_JASPER OFF WITH_JPEG ON WITH_OPENEXR ON WITH_OPENGL OFF WITH_OPENNI OFF WITH_PNG ON WITH_PVAPI ON WITH_QT OFF WITH_TBB OFF WITH_TIFF ON WITH_UNICAP OFF WITH_V4L ON WITH_XIMEA OFF WITH_XINE OFF you basically removed the gpu acceleration (we don't support full profile OpenCL), we enabled the v4l library and also disabled some unnecessary ones, you can try your on configuration if you will. 8) make -j 9) make install If you reached the step 9 with no issues you should have all your cross built OpenCV in the install folder. Just copy it to your rootfs: 10) sudo cp -a build/install ../ltib/rootfs/usr and you know have a OpenCV-2.4.X installation in your embedded system. Now the result using a simple code to open a camera device and display the image:  EOF ! -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
UPDATE
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-I Got some issues building GTK when following the procedure above, so here is the deal to avoid any headache:
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- EOF2 ! |
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