Installation tutorials rework * Doc: general installation, config reference, linux installation * Doc: addressed review comments * Minor fixes
4.5 KiB
Installation in MacOS
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Original author | @sajarindider |
Compatibility | OpenCV >= 3.4 |
The following steps have been tested for MacOSX (Mavericks) but should work with other versions as well.
Required Packages
- CMake 3.9 or higher
- Git
- Python 2.7 or later and Numpy 1.5 or later
This tutorial will assume you have Python, Numpy and Git installed on your machine.
@note OSX comes with Python 2.7 by default, you will need to install Python 3.8 if you want to use it specifically.
@note If you XCode and XCode Command Line-Tools installed, you already have git installed on your machine.
Installing CMake
-# Find the version for your system and download CMake from their release's page
-# Install the dmg package and launch it from Applications. That will give you the UI app of CMake
-# From the CMake app window, choose menu Tools --> How to Install For Command Line Use. Then, follow the instructions from the pop-up there.
-# Install folder will be /usr/bin/ by default, submit it by choosing Install command line links.
-# Test that it works by running @code{.bash} cmake --version @endcode
@note You can use Homebrew to install CMake with @code{.bash} brew install cmake @endcode
Getting OpenCV Source Code
You can use the latest stable OpenCV version or you can grab the latest snapshot from our Git repository.
Getting the Latest Stable OpenCV Version
- Go to our downloads page.
- Download the source archive and unpack it.
Getting the Cutting-edge OpenCV from the Git Repository
Launch Git client and clone OpenCV repository. If you need modules from OpenCV contrib repository then clone it as well.
For example @code{.bash} cd ~/<my_working_directory> git clone https://github.com/opencv/opencv.git git clone https://github.com/opencv/opencv_contrib.git @endcode Building OpenCV from Source Using CMake
-# Create a temporary directory, which we denote as build_opencv
, where you want to put
the generated Makefiles, project files as well the object files and output binaries and enter
there.
For example
@code{.bash}
mkdir build_opencv
cd build_opencv
@endcode
@note It is good practice to keep clean your source code directories. Create build directory outside of source tree.
-# Configuring. Run cmake [<some optional parameters>] <path to the OpenCV source directory>
For example
@code{.bash}
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_EXAMPLES=ON ../opencv
@endcode
or cmake-gui
- set the OpenCV source code path to, e.g. `/home/user/opencv`
- set the binary build path to your CMake build directory, e.g. `/home/user/build_opencv`
- set optional parameters
- run: "Configure"
- run: "Generate"
-# Description of some parameters
- build type: CMAKE_BUILD_TYPE=Release
(or Debug
)
- to build with modules from opencv_contrib set OPENCV_EXTRA_MODULES_PATH
to <path to opencv_contrib>/modules
- set BUILD_DOCS=ON
for building documents (doxygen is required)
- set BUILD_EXAMPLES=ON
to build all examples
-# [optional] Building python. Set the following python parameters:
- PYTHON3_EXECUTABLE = <path to python>
- PYTHON3_INCLUDE_DIR = /usr/include/python<version>
- PYTHON3_NUMPY_INCLUDE_DIRS = /usr/lib/python<version>/dist-packages/numpy/core/include/
@note
To specify Python2 versions, you can replace PYTHON3_
with PYTHON2_
in the above parameters.
-# Build. From build directory execute make, it is recommended to do this in several threads
For example
@code{.bash}
make -j7 # runs 7 jobs in parallel
@endcode
-# To use OpenCV in your CMake-based projects through find_package(OpenCV)
specify OpenCV_DIR=<path_to_build_or_install_directory>
variable.
@note You can also use a package manager like Homebrew or pip to install releases of OpenCV only (Not the cutting edge).