robotpy-cscore install

RoboRIO installation

If you have robotpy-installer on your computer, then installing robotpy-cscore is very simple:

# While connected to the internet
robotpy-installer download-opkg python37-robotpy-cscore

# While connected to the network with a RoboRIO on it
robotpy-installer install-opkg python37-robotpy-cscore

For additional details about running robotpy-installer on your computer, see the robotpy-installer documentation.

Non-roboRIO installation (compiling from source)

If you’re not installing on a RoboRIO, then installation of cscore has a few additional steps that you need to do:

  1. Install a newer C++ compiler that supports C++14


    robotpy-cscore has not been tested on Windows

  2. Install Python 3 (cscore is not supported on Python 2) and development headers

  3. Install Numpy (either via pip3 or using a Linux package manager)

  4. Install OpenCV (either via a Linux package manager or compile from source)

    • If you compile from source, you must enable shared library support, cscore cannot use a statically compiled OpenCV python module at this time
  5. Install robotpy-cscore via pip3. It should be as easy as running pip3 install robotpy-cscore – though be warned, it takes several minutes to compile!

In the future we may provide binaries that can be installed on commonly used platforms, but there are a number of technical challenges that need to be solved and so that won’t be until at least 2018 if not later.


Currently, robotpy-cscore does not support using the OpenCV module that comes with the opencv-python package distributed on Pypi. Long term, I’d like to get that to work, but it’s going to take a bit of work. To track this issue, see

Next steps

See our cscore documentation for examples and deployment thoughts.