Image processing, using OpenCV.

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

Our first tutorial, make your own Augmented Reality app.

GPU processing using OpenCV and ArrayFire

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

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

Communicate with BK ultrasound scanners via TCP.

Interface to speech services for image-guided surgery.

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

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

Surgical NAvigation Platform with Python

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

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

Application package, containing end-user, utility programs.

Core functionality based on numpy and core Python.

Augmented Reality for the DaVinci Robot.

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

A template python application suitable for WEISS python repositories

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