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Conan package recipe for opencv

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library.

The packages generated with this conanfile can be found on Bintray.

Issues

If you wish to report an issue or make a request for a package, please do so here:

Issues Tracker

For Users

Basic setup

$ conan install opencv/4.1.1@conan/stable

Project setup

If you handle multiple dependencies in your project is better to add a conanfile.txt

[requires]
opencv/4.1.1@conan/stable

[generators]
cmake

Complete the installation of requirements for your project running:

$ mkdir build && cd build && conan install ..

Note: It is recommended that you run conan install from a build directory and not the root of the project directory. This is because conan generates conanbuildinfo files specific to a single build configuration which by default comes from an autodetected default profile located in ~/.conan/profiles/default . If you pass different build configuration options to conan install, it will generate different conanbuildinfo files. Thus, they should not be added to the root of the project, nor committed to git.

Build and package

The following command both runs all the steps of the conan file, and publishes the package to the local system cache. This includes downloading dependencies from "build_requires" and "requires" , and then running the build() method.

$ conan create . conan/stable

Available Options

Option Default Possible Values Description
shared False [True, False] Build shared libraries only
fPIC True [True, False] Compile with -fPIC (Linux only)
contrib False [True, False] Build OpenCV contrib from sources
modules None Any comma-delimited string Select specific OpenCV modules to build
jpeg True [True, False] Build with libjpeg
jpegturbo False [True, False] Build with libjpeg-turbo
tiff True [True, False] Build with libtiff
webp True [True, False] Build with libwebp
png True [True, False] Build with libpng
jasper True [True, False] Build with jasper
openexr True [True, False] Build with openexr
gtk None [None, 2, 3] Build with system GTK-2.0 or GTK-3
nonfree False [True, False] Include non-free features in the build. This is required to use patented algorithms such as SIFT, SURF or KinectFusion.
dc1394 True [True, False] Build with DC1394 (DCAM)
carotene False [True, False] Use NVidia carotene acceleration library for ARM platform
cuda False [True, False] Include NVidia Cuda Runtime support
protobuf True [True, False] Build with libprotobuf
freetype True [True, False] Build with freetype
harfbuzz True [True, False] Build with harfbuzz
eigen True [True, False] Include Eigen2/Eigen3 support
glog True [True, False] Build with glog
gflags True [True, False] Build with gflags
gstreamer False [True, False] Include Gstreamer support
openblas False [True, False] Build with openblas
ffmpeg False [True, False] Build with ffmpeg
lapack False [True, False] Build with lapack
quirc True [True, False] Build with QR-code decoding library
qt False [True, False] Build with Qt5

Qt5 builds

Below is an example of how to configure Qt5 enabled OpenCV dependencies in your own project:

cmake_minimum_required(VERSION 3.15)
project(my-opencv-qt-project)

include(${CMAKE_BINARY_DIR}/conanbuildinfo.cmake)
conan_basic_setup(TARGETS)

set(Qt5_DIR ${CONAN_QT_ROOT})
find_package(Qt5 CONFIG COMPONENTS Core Gui Widgets Test Concurrent REQUIRED)

target_link_libraries(CONAN_PKG::opencv INTERFACE Qt5::Core Qt5::Gui Qt5::Widgets Qt5::Test Qt5::Concurrent)
target_link_libraries(${PROJECT_NAME} CONAN_PKG::opencv)

Add Remote

Conan Community has its own Bintray repository, however, we are working to distribute all package in the Conan Center:

$ conan remote add conan-center "https://conan.bintray.com"

Conan Recipe License

NOTE: The conan recipe license applies only to the files of this recipe, which can be used to build and package opencv. It does not in any way apply or is related to the actual software being packaged.

MIT

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OpenCV computer vision package for conan package manager

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  • Python 86.7%
  • C++ 9.2%
  • CMake 2.1%
  • Shell 2.0%