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CMake will then prompt you to specify the generator. Be careful to use forward slashes instead of backslashes, which reflects CMake’s Linux origins.Ĭlick the ‘Configure’ button and accept the creation of the build directory. A build folder needs to be designated which CMake will create automatically. Launch the CMake utility and set the path of the source location. Once the source files are downloaded and extracted, you should see two folders as per the image below. Now the preparation steps are complete, we can start the build process. Be sure to add CMake to your Path during the installation process to allow it to be called from the command prompt. CMake can be obtained from the downloads section of the CMake website.

#Cmake install prefix free

The CMake tool is a free and open source utility which simplifies the build process with a graphical interface. To facilitate building from source, OpenCV uses CMake. This is only suggested if you’re familiar with building Python packages from source and you absolutely want to run with 64-bit Python and don’t want to work with a 3rd party distribution such as Anaconda.

Build your own 64-bit version of Numpy.

The downside is you have less control over what is installed on your system and potentially many tools which you don’t need. Distributions such as Anaconda are convenient as they have lots of tools readily available. Anaconda is the most common way of doing this.

Use a 64-bit distribution of Python which includes 64-bit versions of supporting packages such as Numpy.

Once 32-bit Python is installed, running the following command at the command prompt installs Numpy at the system level: pip3 install numpy. This is the easiest option for getting started.

Go with 32-bit Python and the official 32-bit Numpy package.If you want to run 圆4 (64-bit) Python with OpenCV, the complication is that Numpy (a computational library which Python’s OpenCV bindings depend on) is only officially available in 32-bit format for Windows. Regarding target platforms, the default Python install available on is x86 (32-bit). The more recent Python 3.8 has encountered issues with OpenCV bindings. Regarding Python versions, the suggested version to use with OpenCV at the time of writing is Python 3.7. Unless you’re already familiar with C++, OpenCV’s Python interface is the best place to start. At the time of writing, the latest version of MSVC is version 16, which ships with Visual Studio 2019.

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MSVC can either be installed as part of Microsoft Visual Studio or, if you don’t want the full Visual Studio install, you can just install the Visual Studio Build Tools.

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The suggested compiler for Windows is that provided by MSVC (Microsoft Visual C++). To build the OpenCV source code, a compiler is required.

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To have access to the latest OpenCV functionality, you will also want to download the contrib modules. The 4.2.0 source can be downloaded from OpenCV’s GitHub page. At the time of writing, the latest version of OpenCV is 4.2.0. The first step is to download the source code. This article assumes you want to build from source and explains the full process on Windows 10. Installing the pre-built binaries is a great way to get started quickly however you will probably want to customize the install eventually as you get more familiar with what OpenCV has to offer.

You want to contribute to OpenCV development.

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You want to modify the OpenCV source code in your application.

You want more control over the installation, for example which libraries and wrappers are included and which platforms are targeted.

The pre-built Windows distribution contains binary libraries for release builds only therefore, if you want to debug, you need to build from source.

You want to be able to debug OpenCV code and step into OpenCV functions.

There are however a number of reasons why you may want to build from source: The easiest way to get up and running quickly is to install the pre-built binaries. We can install pre-built binaries or perform our own build from source. When installing OpenCV on Windows, we have two options. In this article we’ll step through a full build-from-source installation on Windows 10, including setting up Python and C++ development environments. Installing OpenCV however is notoriously tricky. For developers wishing to explore computer vision, OpenCV is the best place to start.