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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.


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


Please see the contributing guidelines.