scikit-surgerynditracker 1.0.1

Interface for Northern Digital (NDI) Trackers with data to NumPy arrays

scikit-surgerynditracker is a python interface for Northern Digital (NDI) trackers. It should work with Polaris Vicra, Spectra, and Vega optical trackers and Aurora electromagnetic trackers. Tracking data is output as NumPy arrays.

Author: Stephen Thompson

scikit-surgerynditracker is part of the SciKit-Surgery software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).

Installing

pip install scikit-surgerynditracker

Using

Configuration is done using Python libraries at instantiation. Invalid configuration should raise exceptions. Tracking data is returned in a set of lists, containing the port handles, timestamps, framenumbers, the tracking data and a tracking quality metric. By default tracking data is returned as a 4x4 NumPy array, though can be returned as a quaternion by changing the configuration.

from sksurgerynditracker.nditracker import NDITracker
SETTINGS = {
    "tracker type": "polaris",
    "romfiles" : ["../data/8700339.rom"]
        }
TRACKER = NDITracker(SETTINGS)

TRACKER.start_tracking()
port_handles, timestamps, framenumbers, tracking, quality = TRACKER.get_frame()
for t in tracking:
  print (t)
TRACKER.stop_tracking()
TRACKER.close()

See demo.py for a full example

Developing

Cloning

You can clone the repository using the following command:

git clone https://github.com/SciKit-Surgery/scikit-surgerynditracker

Running the tests

You can run the unit tests by installing and running tox:

pip install tox
tox

Contributing

Please see the contributing guidelines.

Useful links

• Source code repository

• Documentation

Licensing and copyright

Copyright 2018 University College London. scikit-surgerynditracker is released under the BSD-3 license. Please see the license file for details.

Acknowledgements

Supported by Wellcome and EPSRC.