scikit-surgerydavinci 0.3.2

Augmented Reality for Davinci Surgical Robot

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).

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

Licensing and copyright

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.