1. Osx Install Gcc
2. Mac Install Gcc 8
3. Mac Install Gcc-c++
4. Osx Install Gcc-5

• Alternative install options. Install using pip; Install as a container; Install using pip. For alpine, the following dependency packages are needed: py-pip, python3-dev, libffi-dev, openssl-dev, gcc, libc-dev, rust, cargo, and make. Compose can be installed from pypi using pip.
• On Ubuntu and other Debian-based Linux systems, you would have to install the ruby-dev and build-essential packages in addition to ruby. Install or update Once you have Ruby and the build tools installed, the command below can be used to install SequenceServer.
• Install NumPy, SciPy, Matplotlib with Python 3 on Windows Posted on February 25, 2017 by Paul. Updated 26 January 2020. This is a short tutorial about installing Python 3 with NumPy, SciPy and Matplotlib on Windows.

Either re-run make with CGOENABLED=0 or install GCC. Cross Compiling. Compiling for a different platform is as simple as running. Older versions of OSX FUSE. Now we will set environment variable to use gcc and g command from terminal. Windows 10 and Windows 8. In Search, search for and then select: System (Control Panel) Click the Advanced system settings link. Click Environment Variables. In the section System Variables, find the PATH environment variable and select it.

Estimated reading time: 7 minutes

You can run Compose on macOS, Windows, and 64-bit Linux.

Prerequisites

Docker Compose relies on Docker Engine for any meaningful work, so make sure youhave Docker Engine installed either locally or remote, depending on your setup.

• On desktop systems like Docker Desktop for Mac and Windows, Docker Compose isincluded as part of those desktop installs.

• On Linux systems, first install theDocker Enginefor your OS as described on the Get Docker page, then come back here forinstructions on installing Compose onLinux systems.

• To run Compose as a non-root user, see Manage Docker as a non-root user.

Install Compose

Follow the instructions below to install Compose on Mac, Windows, Windows Server2016, or Linux systems, or find out about alternatives like using the pipPython package manager or installing Compose as a container.

Install a different version

The instructions below outline installation of the current stable release(v1.28.6) of Compose. To install a different version ofCompose, replace the given release number with the one that you want. Composereleases are also listed and available for direct download on theCompose repository release page on GitHub.To install a pre-release of Compose, refer to the install pre-release buildssection.

Install Compose on macOS

Docker Desktop for Mac includes Compose alongwith other Docker apps, so Mac users do not need to install Compose separately.For installation instructions, see Install Docker Desktop on Mac.

Install Compose on Windows desktop systems

Docker Desktop for Windows includes Composealong with other Docker apps, so most Windows users do not need toinstall Compose separately. For install instructions, see Install Docker Desktop on Windows.

If you are running the Docker daemon and client directly on MicrosoftWindows Server, follow the instructions in the Windows Server tab.

Install Compose on Windows Server

Follow these instructions if you are running the Docker daemon and client directlyon Microsoft Windows Server and want to install Docker Compose.

1. Start an “elevated” PowerShell (run it as administrator).Search for PowerShell, right-click, and chooseRun as administrator. When asked if you want to allow this appto make changes to your device, click Yes.

2. In PowerShell, since GitHub now requires TLS1.2, run the following:

   Then run the following command to download the current stable release ofCompose (v1.28.6):

Note: On Windows Server 2019, you can add the Compose executable to $Env:ProgramFilesDocker. Because this directory is registered in the system PATH, you can run the docker-compose --version command on the subsequent step with no additional configuration.

1. Test the installation.

Install Compose on Linux systems

On Linux, you can download the Docker Compose binary from theCompose repository release page on GitHub.Follow the instructions from the link, which involve running the curl commandin your terminal to download the binaries. These step-by-step instructions arealso included below.

For alpine, the following dependency packages are needed:py-pip, python3-dev, libffi-dev, openssl-dev, gcc, libc-dev, rust, cargo and make.

1. Run this command to download the current stable release of Docker Compose:

   To install a different version of Compose, substitute 1.28.6with the version of Compose you want to use.

   If you have problems installing with curl, seeAlternative Install Options tab above.

2. Apply executable permissions to the binary:

Note: If the command docker-compose fails after installation, check your path.You can also create a symbolic link to /usr/bin or any other directory in your path.

For example:

1. Optionally, install command completion for thebash and zsh shell.

2. Test the installation.

Alternative install options

Install using pip

For alpine, the following dependency packages are needed:py-pip, python3-dev, libffi-dev, openssl-dev, gcc, libc-dev, rust, cargo, and make.

Compose can be installed frompypi using pip. If you installusing pip, we recommend that you use avirtualenv because many operatingsystems have python system packages that conflict with docker-composedependencies. See the virtualenvtutorial to getstarted.

If you are not using virtualenv,

pip version 6.0 or greater is required.

Install as a container

Compose can also be run inside a container, from a small bash script wrapper. Toinstall compose as a container run this command:

Install pre-release builds

If you’re interested in trying out a pre-release build, you can download releasecandidates from the Compose repository release page on GitHub.Follow the instructions from the link, which involves running the curl commandin your terminal to download the binaries.

Pre-releases built from the “master” branch are also available for download athttps://dl.bintray.com/docker-compose/master/.

Pre-release builds allow you to try out new features before they are released,but may be less stable.

Upgrading

If you’re upgrading from Compose 1.2 or earlier, remove ormigrate your existing containers after upgrading Compose. This is because, as ofversion 1.3, Compose uses Docker labels to keep track of containers, and yourcontainers need to be recreated to add the labels.

If Compose detects containers that were created without labels, it refusesto run, so that you don’t end up with two sets of them. If you want to keep usingyour existing containers (for example, because they have data volumes you wantto preserve), you can use Compose 1.5.x to migrate them with the followingcommand:

Alternatively, if you’re not worried about keeping them, you can remove them.Compose just creates new ones.

Uninstallation

To uninstall Docker Compose if you installed using curl:

To uninstall Docker Compose if you installed using pip:

Got a “Permission denied” error?

If you get a “Permission denied” error using either of the abovemethods, you probably do not have the proper permissions to removedocker-compose. To force the removal, prepend sudo to either of the abovecommands and run again.

Where to go next

Next Tutorial:OpenCV configuration options reference

There are two ways of installing OpenCV on your machine: download prebuilt version for your platform or compile from sources.

In many cases you can find prebuilt version of OpenCV that will meet your needs.

Packages by OpenCV core team

Packages for Android, iOS and Windows built with default parameters and recent compilers are published for each release, they do not contain opencv_contrib modules.

• GitHub releases: https://github.com/opencv/opencv/releases
• SourceForge.net: https://sourceforge.net/projects/opencvlibrary/files/

Third-party packages

Other organizations and people maintain their own binary distributions of OpenCV. For example:

• System packages in popular Linux distributions (https://pkgs.org/search/?q=opencv)
• PyPI (https://pypi.org/search/?q=opencv)
• Conda (https://anaconda.org/search?q=opencv)
• Conan (https://github.com/conan-community/conan-opencv)
• vcpkg (https://github.com/microsoft/vcpkg/tree/master/ports/opencv)
• NuGet (https://www.nuget.org/packages?q=opencv)
• Brew (https://formulae.brew.sh/formula/opencv)
• Maven (https://search.maven.org/search?q=opencv)

It can happen that existing binary packages are not applicable for your use case, then you'll have to build custom version of OpenCV by yourself. This section gives a high-level overview of the build process, check tutorial for specific platform for actual build instructions.

OpenCV uses CMake build management system for configuration and build, so this section mostly describes generalized process of building software with CMake.

Step 0: Prerequisites

Install C++ compiler and build tools. On *NIX platforms it is usually GCC/G++ or Clang compiler and Make or Ninja build tool. On Windows it can be Visual Studio IDE or MinGW-w64 compiler. Native toolchains for Android are provided in the Android NDK. XCode IDE is used to build software for OSX and iOS platforms.

Install CMake from the official site or some other source.

Get other third-party dependencies: libraries with extra functionality like decoding videos or showing GUI elements; libraries providing optimized implementations of selected algorithms; tools used for documentation generation and other extras. Check OpenCV configuration options reference for available options and corresponding dependencies.

Step 1: Get software sources

Typical software project consists of one or several code repositories. OpenCV have two repositories with code: opencv - main repository with stable and actively supported algorithms and opencv_contrib which contains experimental and non-free (patented) algorithms; and one repository with test data: opencv_extra.

You can download a snapshot of repository in form of an archive or clone repository with full history.

To download snapshot archives:

• Go to https://github.com/opencv/opencv/releases and download 'Source code' archive from any release.
• (optionally) Go to https://github.com/opencv/opencv_contrib/releases and download 'Source code' archive for the same release as opencv
• (optionally) Go to https://github.com/opencv/opencv_extra/releases and download 'Source code' archive for the same release as opencv
• Unpack all archives to some location

To clone repositories run the following commands in console (gitmust be installed):

Osx Install Gcc

Note

If you want to build software using more than one repository, make sure all components are compatible with each other. For OpenCV it means that opencv and opencv_contrib repositories must be checked out at the same tag or that all snapshot archives are downloaded from the same release.

When choosing which version to download take in account your target platform and development tools versions, latest versions of OpenCV can have build problems with very old compilers and vice versa. We recommend using latest release and fresh OS/compiler combination.

Step 2: Configure

Mac Install Gcc 8

At this step CMake will verify that all necessary tools and dependencies are available and compatible with the library and will generate intermediate files for the chosen build system. It could be Makefiles, IDE projects and solutions, etc. Usually this step is performed in newly created build directory:

Note

cmake-gui application allows to see and modify available options using graphical user interface. See https://cmake.org/runningcmake/ for details.

Step 3: Build

During build process source files are compiled into object files which are linked together or otherwise combined into libraries and applications. This step can be run using universal command:

... or underlying build system can be called directly:

Step 3: Install

Mac Install Gcc-c++

During installation procedure build results and other files from build directory will be copied to the install location. Default installation location is /usr/local on UNIX and C:/Program Files on Windows. This location can be changed at the configuration step by setting CMAKE_INSTALL_PREFIX option. To perform installation run the following command:

Osx Install Gcc-5

Note

This step is optional, OpenCV can be used directly from the build directory.

If the installation root location is a protected system directory, so the installation process must be run with superuser or administrator privileges (e.g. sudo cmake ...).