**Q: Pip install fails with ``ModuleNotFoundError: No module named 'skbuild'``?** **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. Before opening a new issue, read the FAQ below and have a look at the other issues which are already open. ``cv2.CascadeClassifier( + "haarcascade_frontalface_default.xml")``Ħ. ```` can be used as a shortcut to the data folder. Option 4 - Headless full package (contains both main modules and contrib/extra modules): ``pip install opencv-contrib-python-headless`` (check contrib/extra modules listing from ())Īll packages contain Haar cascade files. Option 3 - Headless main modules package: ``pip install opencv-python-headless`` or you are using some other package (such as PyQt) than OpenCV to create your GUI. You should always use these packages if you do not use `cv2.imshow` et al. 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). **b.** 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 ()) Option 1 - Main modules package: ``pip install opencv-python`` **a.** 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. 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.ģ. 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.Ģ. 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.ġ.
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