OpenCV as a static library (cmake options) - opencv

I want to use OpenCV library in an embedded system and I need to compile my project using OpenCV as a static library.
How can I create the library using cmake options ?

To build OpenCV as static library you need to set BUILD_SHARED_LIBS flag to false/off:
cmake -DBUILD_SHARED_LIBS=OFF ..
But I think it is not enough for your task because you actually need to cross-compile library for you architecture. In case of Android or IOS such port already exists and you can simply use it. In case of another platform you need to create your own cmake toolchain file for cross-compiling and probably make a number of fixes in OpenCV build system.

The BUILD_SHARED_LIBS=OFF cmake option will create static libraries.
It should be noted that at the time of writing this, OpenCV does not really support static build, in that the result will not be useable when installed somewhere.
https://github.com/opencv/opencv/issues/21447#issuecomment-1013088996

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Why doesn't CLion link my project with OpenCV for Windows?

I'm attempting to use OpenCV for Windows as supplied by opencv.org in a project I'm building with JetBrains' CLion IDE. I've installed the opencv library and configured CLion (set(OpenCV_DIR) to reference the build directory under it, but CMake issues the warning:
Found OpenCV Windows Pack but it has no binaries compatible with your configuration.
You should manually point CMake variable OpenCV_DIR to your build of OpenCV library.
I've tried some of the older distributions from opencv.org with the same results. It appears CMake is locating the OpenCV libraries, but doesn't want to use them. Why, and how do I get the OpenCV libraries to work under CLion?
The short answer is, you will probably need to build OpenCV from source in order to use it with CLion. But given the number and range of partially answered and unanswered questions here* and elsewhere on using JetBrains' CLion IDE with the OpenCV library, I think an overview is needed (my notes are from CLion 2016.3 and OpenCV 3.1, YMMV):
Though not produced by JetBrains, CMake is very central to CLion's operation. Understanding CMake therefore helps greatly in diagnosing CLion build problems. In particular CMake maintains a disk "cache" of settings which you may need to clear to incorporate changes to your environment (Tools->CMake->Reset Cache and Reload Project).
To make use of OpenCV in your build you must specify it in your project's CMakeLists.txt file. You request that CMake locate your OpenCV location and link it to your TARGET. An example of a sequence of commands from CMakeLists.txt for an executable named mushroom follows:
add_executable(mushroom ${SOURCE_FILES})
FIND_PACKAGE(OpenCV REQUIRED)
TARGET_LINK_LIBRARIES(mushroom ${OpenCV_LIBS})
(For more on FIND_PACKAGE, see CMake:How To Find Libraries.)
FIND_PACKAGE for package XXX works either by way of FindXXX.cmake files located at CMake's Modules directory, or by consulting environment variable XXXX_DIR. On my system, no FindOpenCV.cmake file was present, so I relied on the OpenCV_DIR environment variable instead. This must be set, not to the root of your OpenCV installation, but to the build folder beneath it. I used an entry in CMakeLists.txt to set this variable, e.g.:
set(OpenCV_DIR C:/Users/myacct/AppData/Local/opencv-3.0.0/build)
To link with OpenCV, CMake uses either FindOpenCV.cmake or OpenCV_DIR (see previous point above) to locate a file named OpenCVConfig.cmake. This file is generated by and ships with a particular build of OpenCV in order to document what components are present and where they are located.
Problems may occur when variable names used by OpenCVConfig.cmake conflict with those CLion has stored in its environment. In particular, if your OpenCV was built by Microsoft Visual C (MSVC), as is the Windows distribution from opencv.org, it won't work with CLion.
Because CLion's build toolchain (ControlAltS-toolchain) uses either MinGW or Cygwin, OpenCVConfig.cmake will search for OpenCV binaries under a subdirectory named mingw or cygwin and will find none because the binaries were built with MSVC (it will look in a directory like vc11 or vc12 instead). This probably means you will need to build OpenCV from source in order to use it with CLion.
Would reconfiguring OpenCVConfig.cmake to point to the MSVC binaries make this work? you may ask. Unfortunately the answer is still no, because libraries built with one compiler typically cannot be linked with another one.
OpenCVConfig.cmake or FindOpenCV.cmake likely contain diagnostic messages, but when CLion executes CMake for you, message(STATUS) calls are not displayed. To make them display, change them to message(WARNING) or message(FATAL_ERROR). But CLion 2016.3 EAP relieves this problem; see https://stackoverflow.com/a/39398373/5025060.
CLion does not indicate which .cmake script issued which diagnostics; don't assume they all come from the same script.
Hopefully this provides some general guidance on resolving CLion / CMake / OpenCV compatibility problems. Note that this does not cover compiler or linker issues; these will not appear until CMake completes its initial makefile build. Compiler or linker issues occur at a later stage and are controlled by include*(), link*() and other commands in CMakeLists.txt.
*Some related SO questions:
OpenCV Windows setup with CLion
OpenCV CLion (Cmake) linking issue - cmake reports a strange error
use OpenCV with Clion IDE on Windows
Compiling OpenCV on Windows with MinGW
Could not find module FindOpenCV.cmake ( Error in configuration process)
CMake: Of what use is find_package() if you need to specify CMAKE_MODULE_PATH anyway?

How to cross compile OpenCV with ffmpeg

I want to cross compile opencv with ffmpeg for arm.
I have cross compiled ffmpeg, how do I configure cmake to see the ffmpeg?
Edit: I am cross compiling for AR Drone 2.0. I use toolchain under platform/linux.
The answer to your specific problem is to use cmake-gui which provides you a visual interface to ease the process of setting up variables, like your ffmpeg package location.
However I have 2 recommendations:
Download the most updated toolchain.
DO NOT USE THIS GUIDE. Use instead the toolchain that you find in the package in sources\platforms\android\android.toolchain.cmake: read inside, you'll find the correct instructions at the beginning of the file.
Another optional recommendation: use ninja as build system, much faster.
I was successful in cross compiling OpenCV with ffmpeg for AR Drone's ARM processor by writing my own toolchain file where I explicitly set all the linker, pkg_config and compiler paths to relevant directories containing the cross-compiled stuff.
I have written a blog post detailing the entire process here:
How to Cross-Compile OpenCV with FFmpeg for AR Drone (ARM Processor).

cmake: install opencv using external libjpeg library

I have two versions of libjpeg library. One is the system library /usr/lib/x86_64-linux-gnu/libjpeg.so, and the another is the newer one that I have built manually /vol/me/lib/libjpeg.so. I want to install opencv that uses the new library instead of the system one. How can I use cmake/cmake-gui to do that?

How to build os image including gcc g++ tool chain for ARM platform?

I am trying to build an OS image for TI OMAP4 Pandaboard. The downloaded BSP can be built but very limited without gcc g++ compiler. I think it much difficult to add the tool chain in QNX Momentics IDE, because there are so many files to be added. Can I manually modify the buildfile to do it? If possible, please give me an example. Thanks in advance.
No, it is not possible to run g++ on your TI OMAP4 Pandaboard (unless you build g++ from sources for the ARM platform using the existing QNX toolchain running on an X86 platform).
Why not possible: QNX releases their build tools only for X86-based hosts. The currently supported host OS-es include some variants of Windows, Linux and QNX but the precondition is that the host hardware is X86-based.
Likely you do not actually want to build your library on the target hardware; it should not matter where you actually do the build (except in very special cases where you build some source code based on user input, etc.)
What you need to do is build your library on your development host using the ARM toolchain (QCC if you want to use the high-level tools; ntoarmv7-g++ if you want to use the familiar g++ interface). Once you have your binary you can include it in the .ifs file. You just need to include a line in the .build file, similar to the following example:
/path/on/targetfs/yourbinary=/path/on/buildmachine/yourbinary
If your build environment is configured so that mkifs finds your binary then you can omit the "path/on/buildmachine" part.
If you are fine with having the binary on your target under /proc/boot then you can omit the "/path/on/targetfs/ part as well.
For ease of development it would usually be more convenient for you to store your binary on the SD card with a FAT filesystem. Then you can just copy your binary to the SD without having to rebuild the .ifs file.
Finally, once you get experienced you will want to export a part of your host-machine's filesystem via CIFS or NFS and mount it directly from your target. This will save all the trouble of having to copy files (and, possibly, reboot the target) in each build cycle. But this is far off from your original question.
I think you are trying to get the QNX C/C++ compiler to run on your target board. Correct?
If so, rather than installing the Runtime Kit, you install the QNX Software Development Platform and you should be good to go.
You can also use the System Builder to customize your QNX OS, but this is going to be harder than just using the QNX SDP.
One other note: QNX uses qcc for C and QCC for C++ instead of gcc. They both use gcc under the hood, but to compile on QNX, use qcc instead of gcc.

cvBlobsLib with mingw

Does anybody know how to build cvBlobsLib using MinGW? On official page http://opencv.willowgarage.com/wiki/cvBlobsLib there is only instruction for VS.
There is also linux version of this lib http://opencv.willowgarage.com/wiki/cvBlobsLib?action=AttachFile&do=view&target=cvblobs8.3_linux.tgz , but its makefile cannot be used in windows as i see.
If you use eclipse then you dont have a lot of work:
Create a new project, using MinGW toolchain.
Go to the project properties, and under C/C++ General >> Paths and Symbols add the openCV library paths.
compile the project and it should be OK.
Use this
http://opencv.willowgarage.com/wiki/cvBlobsLib#Build_intructions
if you have more problems (especially NOTE 3)

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