L42ARO

L42ARO / Fisheye-Calibration

Public

Some code that makes it easier to calibrate really wide angle cameras

18
2
100% credibility
Found May 06, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

A toolkit that helps users calibrate wide-angle fisheye cameras using a printed pattern and undistort recorded videos into straight, web-friendly MP4 files.

How It Works

1
🔍 Discover the fisheye fix

You find this handy toolkit because your wide-angle camera videos look too curvy and distorted.

2
💻 Get ready on your computer

You run a simple setup to prepare everything you need, like making sure your camera works.

3
📹 Spot your camera and record a clip

You check which camera to use and capture a short test video of something interesting.

4
🎯 Train the camera with a pattern

You print a checkerboard pattern and move it around in front of the camera in different positions while it learns the curves.

5
✨ Straighten out your videos

You pick your test video and let the toolkit remove the fisheye bend, creating a nice normal-looking version.

🎉 Watch perfect videos

Your wide-angle camera now gives straight, usable videos that look great on any website or player.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 18 to 18 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is Fisheye-Calibration?

This Python toolkit streamlines fisheye calibration for wide-angle cameras, converting distorted barrel views into straight, rectilinear video. Print a ChArUco checkerboard, run guided capture phases—center flat, edges, corners, close/far—with optional audio prompts to build a calibration dataset, then undistort videos via CLI into web-ready H.264 MP4s using OpenCV fisheye models. It includes camera listing, test video recording, and a sample video to skip calibration setup.

Why is it gaining traction?

It beats generic OpenCV fisheye calibration scripts or MATLAB tools with phased visual overlays and audio cues that enforce edge/corner coverage, yielding better undistortion without trial-and-error. One-command video processing adds balance/scale tweaks and ffmpeg re-encoding for broad compatibility, plus Windows venv setup. Developers grab it for the low-friction path from raw USB cam to usable footage.

Who should use this?

Hardware tinkerers rigging cheap fisheye cams for Pi-based security cams or IoT vision. Robotics devs calibrating wide-angle sensors for SLAM or obstacle avoidance. Video producers fixing action cam distortion before editing workflows.

Verdict

Solid pick for quick fisheye calibration OpenCV Python on Windows if you match the tested Amazon cam—18 stars show niche appeal, but 1.0% credibility flags it as early-stage with thin docs. Fork and tune board params for production; re-calibrate often for lens variance.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.