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scikit-surgerydavinci

Augmented Reality for Davinci Surgical Robot

0.3.2
PyPI
Maintainers
2

scikit-surgerydavinci

.. image:: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerydavinci/raw/master/project-icon.png :height: 128px :width: 128px :target: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerydavinci :alt: Logo

.. image:: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerydavinci/badges/master/pipeline.svg :target: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerydavinci/pipelines :alt: GitLab-CI test status

.. image:: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerydavinci/badges/master/coverage.svg :target: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerydavinci/commits/master :alt: Test coverage

.. image:: https://readthedocs.org/projects/scikit-surgerydavinci/badge/?version=latest :target: http://scikit-surgerydavinci.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status

Augmented reality for image-guided laproscopic surgery.

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

.. figure:: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgeryardavinci/raw/master/doc/ardavin_demo.gif

Author: Thomas Dowrick

scikit-surgerydavinci supports Python 3.6.

Installing

You can install using pip:

::

pip install scikit-surgerydavinci

Example Usage

Single video feed: ::

python sksurgerydavinci -s 0 -m MODEL_DIR

-m specifies the location of a directory containing vtl/stl/vtp/ply models.

Stereo video feed:

::

python sksurgerydavinci -s 0 1 -m MODEL_DIR

Mock stereo feed using only one input: ::

python sksurgerydavinci -s 0 -1 -m MODEL_DIR

If 3 or more screens are available, each video feed will run full screen on a separate display. Video feeds can be assigned to specific displays using the -o arugment: ::

python sksurgerydavinci -s 0 1 -o 2 3 1

More details on command line arguments can be viewed using: ::

python sksurgerydavinci -h

Contributing ^^^^^^^^^^^^

Please see the contributing guidelines_.

Useful links ^^^^^^^^^^^^

  • Source code repository_
  • Documentation_

Copyright 2019 University College London. scikit-surgerydavinci is released under the BSD-3 license. Please see the license file_ for details.

Acknowledgements

Supported by Wellcome_ and EPSRC_.

.. _Wellcome EPSRC Centre for Interventional and Surgical Sciences: http://www.ucl.ac.uk/weiss .. _source code repository: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerydavinci .. _Documentation: https://scikit-surgerydavinci.readthedocs.io .. _SNAPPY: https://weisslab.cs.ucl.ac.uk/WEISS/PlatformManagement/SNAPPY/wikis/home .. _University College London (UCL): http://www.ucl.ac.uk/ .. _Wellcome: https://wellcome.ac.uk/ .. _EPSRC: https://www.epsrc.ac.uk/ .. _contributing guidelines: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerydavinci/blob/master/CONTRIBUTING.rst .. _license file: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerydavinci/blob/master/LICENSE

Keywords

medical imaging

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