![]() The aim of this repository is to provide means to package each newĪt the same time it allows anyone to build a custom version of OpenCVįor any Python version: just fork this repo and modify the build filesĪnd scripts to fit your needs. LGPL licensed build like in the Windows wheels) the goal is considerably harder to achieve. The purpose of these packages is to provide as easy as possible installation experience for OpenCV Python bindings and they should work directly out-of-the-box.Īdding FFmpeg as an additional dependency without a “universal” FFmpeg build (e.g. Manylinux and macOS OpenCV binaries are not compiled against it. Q: Why I can’t open video files on GNU/Linux distribution X or on macOS?Ī: OpenCV video I/O depends heavily on FFmpeg. ![]() ![]() See also this issue if you are using Anaconda.Ī: Make sure you have removed old manual installations of OpenCV Python bindings (cv2.so or cv2.pyd in site-packages). If you are using older Windows version than Windows 10 and latest system updates are not installed, Universal C Runtime might be also required. Q: Import fails on Windows to some DLL load error?Ī: If the import fails on Windows, make sure you have Visual C++ redistributable 2015 installed. However, note that commercial usage might be restricted in some countries since the contrib modules contain some non-free/patented algorithms. Most likely the issue is related to too old pip and can be fixed by running pip install -upgrade pip and pip install wheel.Ī: Please install opencv-contrib-python instead. Q: Pip does not find package ``opencv-python``?Ī: The wheel package format and manylinux builds are pretty new things. Q: Do I need to install also OpenCV separately?Ī: No, the packages are special wheel binary packages and they already contain statically built OpenCV binaries. If you have an existing opencv-contrib-python installation, run pip uninstall opencv-contrib-pythonīefore opening a new issue, read the FAQ below and have a look at the other issues which are already open. To further avoid conflicts and to make development easier, Python’s virtual environments are highly recommended for development purposes. cv2 module in the root of Python’s site-packages), remove it before installation to avoid conflicts. If you have previous/other version of OpenCV installed (e.g. MacOS and Linux packages do not support video related functionality (not compiled with FFmpeg). If you need only OpenCV Python bindings, no separate OpenCV installation is required. This enables super fast (usually < 10 seconds) OpenCV installation for Python. The packages contain pre-compiled OpenCV binary with Python bindings. If you are looking for a version which includes OpenCV contrib modules, please install opencv-contrib-python instead. This package contains only the OpenCV core modules without the optional contrib modules.
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