scikit-surgerytorsosimulator 0.0.1

Author: Stephen Thompson

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

scikit-torso-simulator supports Python 3.6.

snappy-torso-simulator uses out put from a tracking system (NDI or AruCo tags) to select a frame of video to show. It can be used to construct a simple to use ultrasound simulator.

python sksurgerytorsosimulator.py --config config.json

The config file defines the tracking parameters and image buffer, e.g.

{
 "ultrasound buffer": "data/usbuffer.mp4",
       "default image": "data/logo.png",
       "buffer descriptions": [
              {
               "name": "glove",
               "start frame": 0,
               "end frame": 284,
               "x0": 20, "x1": 200,
               "y0": 200, "y1": 260,
               "scan direction": "x"
              },
  ]
  ....
  "tracker config": {
              "tracker type": "aruco",
              "video source": 2,
              "debug": true,
              "capture properties": {
                      "CAP_PROP_FRAME_WIDTH": 640,
                      "CAP_PROP_FRAME_HEIGHT": 480

 }
}

An example configuration file can be downloaded from here and an image buffer from source code repository data directory

git clone https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerytorsosimulator

pip install pytest
python -m pytest

pip install pylint
pylint --rcfile=tests/pylintrc snappytorsosimulator

pip install git+https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerytorsosimulator