Augmented Reality for Davinci Surgical Robot
Project description
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
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
Project details
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