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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Program for rapidly developing computer vision applications
| Date | Stars |
|---|---|
| 2026-07-24 | 387 |
| 2026-07-25 | 387 |
| 2026-07-28 | 387 |
| 2026-07-30 | 387 |
| 2026-07-31 | 387 |
| 2026-08-06 | 387 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
[](https://gitter.im/WPIRoboticsProjects/GRIP?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[](https://dev.azure.com/wpiroboticsprojects/GRIP/_build/latest?definitionId=1?branchName=master)
[](http://codecov.io/github/WPIRoboticsProjects/GRIP?branch=master)
[](https://github.com/WPIRoboticsProjects/GRIP/releases/latest)
# GRIP Computer Vision Engine
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.
# Features
- Intuitive drag and drop UI.
- Active development community.
- Generates Java, C++, and Python code directly from the pipeline ([Example usage here](https://github.com/WPIRoboticsProjects/GRIP-code-generation))!
- Extensible!
- Deploys and runs headless.
- Supports various network protocols
- [Network Tables](https://github.com/wpilibsuite/allwpilib/tree/master/ntcore/)
- [Robot Operating System (ROS)](http://www.ros.org/)
- HTTP
- CUDA acceleration
- OS Support:
- Windows
- OSX
- Linux (minimum Ubuntu 18.04 or libc version 2.27+)
- Embedded Linux ARM (NI RoboRIO)
## Getting Started
1. Download the newest [release](https://github.com/WPIRoboticsProjects/GRIP/releases) for your operating system.
2. Run the included installer.
3. Open GRIP
Check out the release notes and [the wiki](https://github.com/WPIRoboticsProjects/GRIP/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.
## Building GRIP From Source
To build and run, use the included Gradle wrapper script on a Unix System:
./gradlew :ui:run
On Windows:
gradlew :ui:run
If you don't have an internet connection you can build using the `--offline` flag if you have built GRIP once before.
### Running Tests
To do a complete check of functionality of GRIP, use the included Gradle wrapper script on a Unix System:
./gradlew check
On Windows:
gradlew check
## CUDA Support
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 `-Pcuda` to 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.
## Contributing
See the guide on [setting up build tools](https://github.com/WPIRoboticsProjects/GRIP/wiki/Setting-up-build-tools) in the wiki.
Excerpt of 3,742 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5a66379a956ba427, topic:computer-vision, topic:opencv, desc:computer vision
matched fp:5a66379a956ba427, topic:robotics, readme:robotics