Computer vision

Skill a5c-ai/babysitter/library/specializations/robotics-simulation/skills/computer-vision

Specialized skill for robot vision including feature detection, tracking, and camera calibrationFrom its SKILL.md

Install

npx -y skills add a5c-ai/babysitter --skill computer-vision

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.7 KB, 265 tokens by cl100k_base, as published. Nobody here has run it

Computer Vision Skill

Overview

Expert skill for robot vision applications including camera calibration, feature detection and tracking, stereo vision, and visual servoing.

Capabilities

Implement camera intrinsic calibration (pinhole, fisheye)
Configure stereo camera calibration and rectification
Set up camera-LiDAR extrinsic calibration
Implement feature detection (ORB, SIFT, SURF, SuperPoint)
Configure optical flow tracking (Lucas-Kanade, Farneback)
Implement depth estimation from stereo
Set up visual servoing pipelines
Configure image undistortion and rectification
Implement ArUco/AprilTag marker detection
Set up hand-eye calibration

Target Processes

robot-calibration.js
visual-slam-implementation.js
object-detection-pipeline.js
digital-twin-development.js

Dependencies

OpenCV
cv_bridge
image_geometry
camera_calibration

Usage Context

This skill is invoked when processes require camera calibration, feature detection, visual tracking, or image processing for robot vision applications.

Output Artifacts

Camera calibration files (YAML)
Stereo calibration parameters
Feature detection configurations
Visual servoing controllers
Image processing pipelines
Marker detection configurations

What ships with it: 1 file

713 B alongside SKILL.md

README.md713 B