mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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117 lines
4.2 KiB
117 lines
4.2 KiB
5 years ago
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Installation in MacOS {#tutorial_macos_install}
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=====================
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The following steps have been tested for MacOSX (Mavericks) but should work with other versions as well.
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Required Packages
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-----------------
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- CMake 3.9 or higher
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- Git
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- Python 2.7 or later and Numpy 1.5 or later
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This tutorial will assume you have [Python](https://docs.python.org/3/using/mac.html),
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[Numpy](https://docs.scipy.org/doc/numpy-1.10.1/user/install.html) and
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[Git](https://www.atlassian.com/git/tutorials/install-git) installed on your machine.
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@note
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OSX comes with Python 2.7 by default, you will need to install Python 3.8 if you want to use it specifically.
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@note
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If you XCode and XCode Command Line-Tools installed, you already have git installed on your machine.
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Installing CMake
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----------------
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-# Find the version for your system and download CMake from their release's [page](https://cmake.org/download/)
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-# Install the dmg package and launch it from Applications. That will give you the UI app of CMake
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-# From the CMake app window, choose menu Tools --> Install For Command Line Use.
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-# Install folder will be /usr/bin/ by default, submit it by choosing Install command line links.
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-# Test that it works by running
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@code{.bash}
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cmake --version
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@endcode
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Getting OpenCV Source Code
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--------------------------
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You can use the latest stable OpenCV version or you can grab the latest snapshot from our
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[Git repository](https://github.com/opencv/opencv.git).
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### Getting the Latest Stable OpenCV Version
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- Go to our [downloads page](http://opencv.org/releases.html).
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- Download the source archive and unpack it.
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### Getting the Cutting-edge OpenCV from the Git Repository
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Launch Git client and clone [OpenCV repository](http://github.com/opencv/opencv).
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If you need modules from [OpenCV contrib repository](http://github.com/opencv/opencv_contrib) then clone it as well.
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For example
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@code{.bash}
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cd ~/<my_working_directory>
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git clone https://github.com/opencv/opencv.git
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git clone https://github.com/opencv/opencv_contrib.git
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@endcode
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Building OpenCV from Source Using CMake
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---------------------------------------
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-# Create a temporary directory, which we denote as `<cmake_build_dir>`, where you want to put
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the generated Makefiles, project files as well the object files and output binaries and enter
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there.
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For example
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@code{.bash}
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mkdir build_opencv
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cd build_opencv
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@endcode
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@note It is good practice to keep clean your source code directories. Create build directory outside of source tree.
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-# Configuring. Run `cmake [<some optional parameters>] <path to the OpenCV source directory>`
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For example
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@code{.bash}
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cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_EXAMPLES=ON ../opencv
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@endcode
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or cmake-gui
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- set full path to OpenCV source code, e.g. `/home/user/opencv`
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- set full path to `<cmake_build_dir>`, e.g. `/home/user/build_opencv`
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- set optional parameters
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- run: "Configure"
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- run: "Generate"
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-# Description of some parameters
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- build type: `CMAKE_BUILD_TYPE=Release` (or `Debug`)
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- to build with modules from opencv_contrib set `OPENCV_EXTRA_MODULES_PATH` to `<path to
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opencv_contrib>/modules`
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- set `BUILD_DOCS=ON` for building documents (doxygen is required)
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- set `BUILD_EXAMPLES=ON` to build all examples
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-# [optional] Building python. Set the following python parameters:
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- `PYTHON3_EXECUTABLE = <path to python>`
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- `PYTHON3_INCLUDE_DIR = /usr/include/python<version>`
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- `PYTHON3_NUMPY_INCLUDE_DIRS =
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/usr/lib/python<version>/dist-packages/numpy/core/include/`
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@note
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To specify Python2 versions, you can replace `PYTHON3_` with `PYTHON2_` in the above parameters.
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-# Build. From build directory execute *make*, it is recommended to do this in several threads
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For example
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@code{.bash}
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make -j7 # runs 7 jobs in parallel
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@endcode
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-# To use OpenCV in your CMake-based projects through `find_package(OpenCV)` specify `OpenCV_DIR=<path_to_build_or_install_directory>` variable.
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@note
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You can also use a package manager like [Homebrew](https://brew.sh/)
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or [pip](https://pip.pypa.io/en/stable/) to install releases of OpenCV only (Not the cutting edge).
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