A template python application suitable for WEISS python repositories

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

Surgical NAvigation Platform with Python

GPU processing using OpenCV and ArrayFire

Our first tutorial, make your own Augmented Reality app.

SNAPPYTutorial02 provides a tutorial on how to implement a simple algorithm using the SNAPPY project's Python Template

scikit-surgery-sphere-fitting implements a least squares sphere fitting algorithm, to read a vtk poly data file, a config file, and outputs the fitted sphere

scikit-surgeryarucotracker is an interface to OpenCV's ArUco tag tracking routines, that follows the same interface as other SNAPPY type trackers.

snappy-torso-simulator provides an application to simulate an ultrasound probe moving over a body torso, it is intended for public engagement events

Easy communication with NDI trackers (Polaris Vicra, Spectra, Vega, and Aurora)

This is for IGI Journal Club at WEISS, UCL.

Image processing, using OpenCV.

Core functionality based on numpy and core Python.

Placeholder project to install all other scikit-surgery sub-packages.

Application package, containing end-user, utility programs.

Contains the API for trackers used in surgery.

image fusion or overlay, for augmented reality apps, using VTK.

Augmented Reality for the DaVinci Robot.

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