This means that the packages avoid a heavy dependency chain to X11 libraries and you will have for example smaller Docker images as a result. These packages are smaller than the two other packages above because they do not contain any GUI functionality (not compiled with Qt / other GUI components). Packages for server (headless) environments (such as Docker, cloud environments etc.), no GUI library dependencies Option 2 - Full package (contains both main modules and contrib/extra modules): pip install opencv-contrib-python (check contrib/extra modules listing from OpenCV documentation)ī.Option 1 - Main modules package: pip install opencv-python.Packages for standard desktop environments (Windows, macOS, almost any GNU/Linux distribution) If you installed multiple different packages in the same environment, uninstall them all with pip uninstall and reinstall only one package.Ī. There is no plugin architecture: all the packages use the same namespace ( cv2). Do not install multiple different packages in the same environment.
There are four different packages (see options 1, 2, 3 and 4 below) and you should SELECT ONLY ONE OF THEM. Select the correct package for your environment: For example Linux distributions ship usually with very old pip versions which cause a lot of unexpected problems especially with the manylinux format. Make sure that your pip version is up-to-date (19.3 is the minimum supported version): pip install -upgrade pip. cv2 module in the root of Python's site-packages), remove it before installation to avoid conflicts.
If you have previous/other manually installed (= not installed via pip) version of OpenCV installed (e.g.
Pre-built CPU-only OpenCV packages for Python.Ĭheck the manual build section if you wish to compile the bindings from source to enable additional modules such as CUDA.
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