Aruco Python Packages

rapidtag

Fast, pure-Rust ArUco/AprilTag fiducial marker detection — no OpenCV runtime, 1.6–3.4× faster, pixel-identical accuracy

aprilgrid

Pure python version of aprilgrid

scikit-surgeryarucotracker

SciKit-SurgeryArUcoTracker is an interface to OpenCV's ArUco tag tracking routines, that follows the same interface as other SciKit-Surgery trackers.

aruco-markers-cv-localisation-arnard76

This module is used to test the accuracy of indoor localisation in a general way (more than just the ML model). Even if multiple methods such as WiFi, GPS, accelerometer etc are combined to improve performance, this module can still test the estimated locations.

scikit-surgerybard

BARD: The Basic Augmented Reality Demo, used at MedICSS summer school.

signa-core

Automatic ArUco ground control point detection for WebODM — detects markers in a task's images, matches measured GCP coordinates, and produces an ODM-compatible gcp_list.txt.

scikit-surgerytrackervisualisation

Provides a simple live visualisation of tracking data from a scikit-surgerytracker source

scikit-surgery-evaluation

A python library for performing surgical skills evaluation