scikit-surgerydavinci¶
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.
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.