Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Pywayne Cv Apriltag Detector
AprilTag corner detection for camera calibration and pose estimation. Use when working with pywayne.cv.apriltag_detector module to detect AprilTag fiducial m...
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AprilTag corner detection for camera calibration and pose estimation. Use when working with pywayne.cv.apriltag_detector module to detect AprilTag fiducial m...
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- Tencent SkillHub
- What's included
- SKILL.md
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Trust & source
Release facts
- Source
- Tencent SkillHub
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- Version
- 0.1.0
Provenance
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- wangyendt
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Documentation
Pywayne AprilTag Detector
This module detects AprilTag fiducial markers for camera calibration and pose estimation.
Quick Start
from pywayne.cv.apriltag_detector import ApriltagCornerDetector # Create detector detector = ApriltagCornerDetector() # Detect from file path detections = detector.detect('test.png', show_result=True) # Detect from numpy array import cv2 image = cv2.imread('test.png') detections = detector.detect(image)
detect()
Detect AprilTags in an image: detections = detector.detect( image, # File path, Path object, or numpy array show_result=False # Show visualization window ) Returns list of detection results with: id: Tag ID hamming_distance: Detection confidence center: Tag center coordinates (x, y) corners: 4 corner coordinates
detect_and_draw()
Detect AprilTags and draw results on original image: result_image = detector.detect_and_draw(image) cv2.imshow('Detection Result', result_image) cv2.waitKey(0) Visualization includes: Green polygon outlines Red corner circles Red ID labels at tag centers
Requirements
cv2 (OpenCV) - Image processing numpy - Array operations gettool - Downloads apriltag_detection library automatically
Library Installation
The detector automatically checks for and installs the apriltag_detection library using gettool if not found.
Detection Result Format
Each detection contains: FieldDescriptionidTag identifierhamming_distanceHamming distance (lower = more confident)centerTag center as (x, y) tuplecorners4 corner coordinates as [(x1, y1), (x2, y2), (x3, y3), (x4, y4)]
Notes
Supports both grayscale and BGR images Automatic grayscale conversion for detection Visualization sizes scale with image dimensions Uses AprilTag 36h11 tag family
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md