The unofficial OpenCV PyPI wheels work with pip install methods:

pip install opencv-python

For ARM / Raspberry Pi:

pip install opencv-python

also works for certain ARM platforms like the Raspberry Pi.

OpenCV is trivial and fast to install on a Raspberry Pi via pip as described above.

For the latest extended functionality that hasn’t yet been incorporated into the core package, OpenCV including the Extra contributed modules may be obtained by:

pip install opencv-contrib-python

• OpenCV release notes
• Conda-forge OpenCV 3
• (reference) Windows-only OpenCV wheels. (cpMN where you have Python M.N). contrib includes OpenCV-extra packages.

If ... is not supported on this platform error be sure it’s using desired Python install. One may have to manually specify the path for the pip command e.g.

$Env:SystemDrive\anaconda3\scripts\python -m pip install opencv-python

We made several test scripts to try out the OpenCV install. Compiling OpenCV yourself allows customizing and optimizing OpenCV for your computer (e.g. using GPU, TBB, OpenCL, etc.).

The conda install opencv and conda install -c conda-forge opencv methods for OpenCV continue to be BROKEN for video/image reading and display. Use pip install above instead.