Scikit Surgery Python Packages

scikit-surgeryvtk

image fusion or overlay, for augmented reality apps, using VTK and OpenCV for a calibrated overlay.

scikit-surgeryimage

Image processing, using OpenCV.

scikit-surgerycore

SciKit-SurgeryCore implements algorithms and tools that are common to all SciKit-Surgery packages

scikit-surgerynditracker

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

scikit-surgeryutils

scikit-surgeryutils - Tests/demos utilities, based around opencv-contrib-python-headless and PySide6

scikit-surgerycalibration

scikit-surgery-calibration provides algorithms designed for the calibration of surgical instruments

scikit-surgeryarucotracker

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

scikit-surgerytrackervisualisation

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

scikit-surgerybard

scikit-surgerybard is a Basic Augmented Reality Demo (BARD)based on scikit-surgery (SNAPPY)

snappysonic

SnappySonic is an Ultrasound Simulator for use in research and public engagement.

scikit-surgery-evaluation

A python library for performing surgical skills evaluation

scikit-surgerybk

Python package for interfacing with BK Ultrasound machines

scikit-surgerytorsosimulator

scikit-surgerytorsosimulator has been superseded by snappysonic"

glenoidplanefitting

implements a plane fitting algorithm to read a vtk polydata file and outputs fitted plane

scikit-surgerytf

scikit-surgerytf is a Python package for Tensor Flow examples and utilities