frequency_cam
- Software
- Perception
- Tool
A ROS/ROS2 node that colors each pixel of an event camera image by the frequency at which its brightness changes, producing a frequency image for periodic signals.
Made by ROS event camera support.
Source on GitHub: github.com/ros-event-camera/frequency_cam (opens in a new tab). Facts read at commit 7407326 (opens in a new tab).
Licenses
- Code
- Apache-2.0 (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (Apache-2.0) at commit 7407326 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Colors pixels by the frequency of their brightness changes, yielding a frequency image similar to Prophesee's Metavision vibration module.
- Uses an IIR digital filter to approximately reconstruct each pixel's brightness, then measures time between zero-level crossings.
- Expects event_camera_msgs messages, typically from the metavision ROS driver; other cameras can be supported via conversion tools or the libcaer driver.
- Parameters control the frequency range, filter cutoff, timeouts, publishing rate, log-scale coloring, overlay of event pixels, and legend appearance.
- Can play from a bag file under ROS2 and write generated frames to disk, with optional image scaling.
- Publishes the frequency image on a topic and subscribes to an event topic.
Written by Robotheca from the project's README (opens in a new tab) at commit 7407326.
Getting started
- Difficulty
- Advanced
- Hardware it needs, as the project states it
- Tested on Ubuntu 20.04 under ROS2 Galactic.
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 26 Apr 2026 on master
- Latest release
- None published on GitHub
Checked on GitHub on 16 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.