On the RoboRIO¶
Image processing is a CPU intensive task, and because of the Python Global Interpreter Lock (GIL) we do NOT recommend using robotpy-cscore directly in your robot process. Don’t do it. Really.
Instead, we provide easy to use ways to launch your camera/image processing code from your Python robot code, and it won’t break simulation either! See below for details.
For more information on the GIL and its effects, you may wish to read the following resources:
The following assumes you’re writing your robot code and your image processing code using RobotPy. However, if you’re writing your Robot code using Java, we do have an example which would allow you to launch Python image processing code from your Java Robot code. See this file for details.
robotpy-cscore can be easily installed with the RobotPy installer. See
these instructions for details.
Automatic camera streaming¶
If you do not wish to modify or process the images from your camera, and only
wish to stream a single camera via HTTP to a dashboard, then you only need to
add the following to your
That’s it! You should be able to connect to the camera using SmartDashboard,
the default LabVIEW Dashboard, or if you point your browser at
The quick vision example can be found in the RobotPy examples repository.
Because the GIL exists (see above), RobotPy’s WPILib implementation provides a way to run your image processing code in a separate process. This introduces a number of rules that your image processing code must follow to efficiently and safely run on the RoboRIO:
Your image processing code must be in its own file
Never import the
cscorepackage from your robot code, it will just waste memory
Never import the
halpackages from your image processing code
wpilibmay not be imported from two programs on the RoboRIO. If this happens, the second program will attempt to kill the first program.
The first step you need to do is create a file – let’s call it
and stick it in the same directory as your
robot.py file. You can also put
it in a subdirectory underneath your robot code, and the robot deploy command
will copy it to the robot.
Once you have written your cscore code, in the
robotInit function in
robot.py file you need to add the following line:
The parameter provided to launch is of the form
FILENAME:FUNCTION. For example,
if your code was located in the
camera subdirectory in a file called
targeting.py, and your function was called
run, then you would do:
- Your image processing code will be launched via a stub that will setup logging and initialize pynetworktables to talk to your robot code
- The child process will NOT be launched when running the robot code in simulation or unit testing mode
- If your image processing code contains a
if __name__ == '__main__':block, the code inside that block will NOT be executed when the code is launched from
- The camera code will be killed when the
robot.pyprogram exits. If you wish to perform cleanup, you should register an atexit handler.
The intermediate vision example can be found in the RobotPy examples repository.