I built CalibON, a browser-based camera calibration tool for ROS and computer vision(reddit.com)

Hey everyone, I built CalibON, a browser-based camera calibration tool intended to make intrinsic camera calibration more accessible for ROS and computer vision projects. It provides a guided workflow where you can: Configure your camera resolution and checkerboard dimensions Upload calibration images Detect and inspect checkerboard corners Review frame quality, image coverage, and rejected images Run camera calibration using OpenCV Inspect the camera matrix, distortion coefficients, and per-frame reprojection errors Preview undistortion results Export calibration data as ROS camera_info YAML, OpenCV JSON, Kalibr YAML, or a full report The frontend is built with React and TypeScript, while the calibration backend uses FastAPI and native OpenCV. I mainly built it because camera calibration tools often feel either tied to a specific environment or difficult to inspect visually, especially for beginners. Live app: https://calibon.vercel.app GitHub: https://github.com/musabali314/CalibON The current version supports checkerboard-based pinhole calibration. ChArUco, AprilGrid, fisheye, stereo calibration, webcam capture, and saved projects are possible future additions. I would really appreciate feedback from people who regularly work with ROS cameras: Are the ROS exports structured correctly for your workflow? What calibration features are currently missing? Would support for live ROS image topics or rosbag extraction be useful? Are there particular datasets or cameras I should test it with? I’ve attached a short demo showing the complete workflow. submitted by /u/TaxOk8369 [link] [Kommentare]