Program for rapidly developing computer vision applications
GRIP (the Graphically Represented Image Processing engine) is an application for rapidly prototyping and deploying computer vision algorithms, primarily for robotics applications. Developing a vision program can be difficult because it is hard to visualize the intermediate results. GRIP simplifies and accelerates the creation of vision systems for experienced users and reduces the barrier to entry for inexperienced users. As a result, many teams with minimal computer vision knowledge have successfully used GRIP since the 2016 FIRST Robotics Competition game.
Check out the release notes and the wiki for more information.
Note for Linux users: GRIP requires GTK2 to be installed. Most Ubuntu-based distributions include it, but some other distros such as Arch may require it to be manually installed. GRIP also requires libc version 2.27 or higher; for Ubuntu-based distributions, this requires Ubuntu 18.04 or newer.
To build and run, use the included Gradle wrapper script on a Unix System:
If you don't have an internet connection you can build using the
--offlineflag if you have built GRIP once before.
To enable CUDA acceleration, CUDA 10.0 needs to be installed on your computer. CUDA 10.1 may work on Linux systems, but Windows must use 10.0.
When running or building from source, add the Gradle flag
-Pcudato enable CUDA acceleration (eg
./gradlew :ui:run -Pcuda)
Note that CUDA acceleration is not available for all operations.
Code generation does not support CUDA - it is only used for operations running in GRIP.
See the guide on setting up build tools in the wiki.