Merge pull request #26564 from shyama7004:improve-macos-install-docs

Improvement of macOS installation guide in documentation #26564

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
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@ -9,41 +9,49 @@ Installation in MacOS {#tutorial_macos_install}
| Original author | `@sajarindider` |
| Compatibility | OpenCV >= 3.4 |
The following steps have been tested for MacOSX (Mavericks) but should work with other versions as well.
The following steps have been tested for macOS (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
- Python 3.x and NumPy 1.5 or later
This tutorial will assume you have [Python](https://docs.python.org/3/using/mac.html),
[Numpy](https://docs.scipy.org/doc/numpy-1.10.1/user/install.html) and
[Git](https://www.atlassian.com/git/tutorials/install-git) installed on your machine.
[NumPy](https://numpy.org/install/) and
[Git](https://git-scm.com/downloads/mac) 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.
- macOS up to 12.2 (Monterey): Comes with Python 2.7 pre-installed.
- macOS 12.3 and later: Python 2.7 has been removed, and no version of Python is included by default.
It is recommended to install the latest version of Python 3.x (at least Python 3.8) for compatibility with the latest OpenCV Python bindings.
@note
If you XCode and XCode Command Line-Tools installed, you already have git installed on your machine.
If you have Xcode and Xcode Command Line Tools installed, Git is already available on your machine.
Installing CMake
----------------
-# Find the version for your system and download CMake from their release's [page](https://cmake.org/download/)
-# Install the dmg package and launch it from Applications. That will give you the UI app of CMake
-# 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.
-# The install folder will be `/usr/local/bin/` by default. Complete the installation by choosing Install command line links.
-# Test that CMake is installed correctly by running:
-# Test that it works by running
@code{.bash}
cmake --version
@endcode
@note You can use [Homebrew](https://brew.sh/) to install CMake with @code{.bash} brew install cmake @endcode
@note You can use [Homebrew](https://brew.sh/) to install CMake with:
@code{.bash}
brew install cmake
@endcode
Getting OpenCV Source Code
--------------------------
@ -53,20 +61,22 @@ You can use the latest stable OpenCV version or you can grab the latest snapshot
### Getting the Latest Stable OpenCV Version
- Go to our [downloads page](https://opencv.org/releases).
- Download the source archive and unpack it.
- Go to our [OpenCV releases page](https://opencv.org/releases).
- Download the source archive of the latest version (e.g., OpenCV 4.x) and unpack it.
### Getting the Cutting-edge OpenCV from the Git Repository
Launch Git client and clone [OpenCV repository](http://github.com/opencv/opencv).
If you need modules from [OpenCV contrib repository](http://github.com/opencv/opencv_contrib) then clone it as well.
Launch Git client and clone [OpenCV repository](https://github.com/opencv/opencv).
If you need modules from [OpenCV contrib repository](https://github.com/opencv/opencv_contrib) then clone it as well.
For example:
@code{.bash}
cd ~/<your_working_directory>
git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git
@endcode
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
---------------------------------------
@ -74,53 +84,98 @@ Building OpenCV from Source Using CMake
the generated Makefiles, project files as well the object files and output binaries and enter
there.
For example
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.
@note It is good practice to keep your source code directories clean. Create the build directory outside of the source tree.
-# Configuring. Run `cmake [<some optional parameters>] <path to the OpenCV source directory>`
For example
For example:
@code{.bash}
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_EXAMPLES=ON ../opencv
@endcode
or cmake-gui
Alternatively, you can use the CMake GUI (`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 the OpenCV source code path to, e.g. `/Users/your_username/opencv`
- set the binary build path to your CMake build directory, e.g. `/Users/your_username/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
- build type: `-DCMAKE_BUILD_TYPE=Release` (or `Debug`).
- include Extra Modules: If you cloned the `opencv_contrib` repository and want to include its modules, set:
@code{.bash}
-DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib/modules
@endcode
- set `-DBUILD_DOCS=ON` for building documents (doxygen is required)
- set `-DBUILD_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/`
- `-DPYTHON3_EXECUTABLE=$(which python3)`
- `-DPYTHON3_INCLUDE_DIR=$(python3 -c "from sysconfig import get_paths as gp; print(gp()['include'])")`
- `-DPYTHON3_NUMPY_INCLUDE_DIRS=$(python3 -c "import numpy; print(numpy.get_include())")`
@note
To specify Python2 versions, you can replace `PYTHON3_` with `PYTHON2_` in the above parameters.
Python 2 has reached its end of life. It is recommended to use Python 3 for building Python bindings.
-# Build. From build directory execute *make*, it is recommended to do this in several threads
For example
For example:
@code{.bash}
make -j7 # runs 7 jobs in parallel
make -j$(sysctl -n hw.ncpu) # runs the build using all available CPU cores
@endcode
-# To use OpenCV in your CMake-based projects through `find_package(OpenCV)` specify `OpenCV_DIR=<path_to_build_or_install_directory>` variable.
-# After building, you can install OpenCV system-wide using:
@code{.bash}
sudo make install
@endcode
-# To use OpenCV in your CMake-based projects through `find_package(OpenCV)`, specify the `OpenCV_DIR` variable pointing to the build or install directory.
For example:
@code{.bash}
cmake -DOpenCV_DIR=~/build_opencv ..
@endcode
### Verifying the OpenCV Installation
After building (and optionally installing) OpenCV, you can verify the installation by checking the version using Python:
@code{.bash}
python3 -c "import cv2; print(cv2.__version__)"
@endcode
This command should output the version of OpenCV you have installed.
@note
You can also use a package manager like [Homebrew](https://brew.sh/)
or [pip](https://pip.pypa.io/en/stable/) to install releases of OpenCV only (Not the cutting edge).
- Installing via Homebrew:
For example:
@code{.bash}
brew install opencv
@endcode
- Installing via pip:
For example:
@code{.bash}
pip install opencv-python
@endcode
@note To access the extra modules from `opencv_contrib`, install the `opencv-contrib-python` package using `pip install opencv-contrib-python`.