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.
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
2 maintainers
Metadata
2 maintainers
Release files for scikit-surgerydavinci 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_surgerydavinci-0.3.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Release files / scikit_surgerydavinci-0.3.2-py2.py3-none-any.whl
| Download URL | scikit_surgerydavinci-0.3.2-py2.py3-none-any.whl |
|---|---|
| Size | 19.0 kB |
| Tags | Python 2 Python 3 |
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