Image processing, using OpenCV.
OTHER License
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scikit-surgeryimage is a python only project to implement image processing algorithms that are useful for image-guided surgery.
scikit-surgeryimage was developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences
_ in University College London (UCL)
_.
.. features-start
requirements.txt specifies a dependency on opencv-contrib-python-headless, so you can use any OpenCV python therein. In addition, this project provides:
Convenience classes <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#data-acquisition>
_ for video read and write.Utilities <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#calibration-tools>
_ to detect the number of cameras and prepare text for overlay on video.PointDetector <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#utilities>
_ interface for video camera calibration and implementations such as OpenCV chessboard, ArUco, ChArUco and combinations.ChArUco <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#sksurgeryimage.calibration.charuco.make_charuco_board>
_ patternsInterlacing and deinterlacing <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#video-interlacing-functions>
_.erosion and dilation <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#module-sksurgeryimage.processing.morphological_operators>
_... features-end
Installing
You can pip install directly from the repository as follows:
::
pip install scikit-surgeryimage
Developing
^^^^^^^^^^
You can clone the repository using the following command:
::
git clone https://github.com/SciKit-Surgery/scikit-surgeryimage
Running the tests
^^^^^^^^^^^^^^^^^
You can run the unit tests by installing and running tox:
::
pip install tox
tox
Encountering Problems?
^^^^^^^^^^^^^^^^^^^^^^
Please check list of `common issues`_.
Contributing
^^^^^^^^^^^^
Please see the `contributing guidelines`_.
Useful links
^^^^^^^^^^^^
* `Source code repository`_
* `Documentation`_
Licensing and copyright
-----------------------
Copyright 2018 University College London.
scikit-surgeryimage is released under the BSD-3 license. Please see the `license file`_ for details.
Acknowledgements
----------------
Supported by `Wellcome`_ and `EPSRC`_.
.. _`Wellcome EPSRC Centre for Interventional and Surgical Sciences`: http://www.ucl.ac.uk/weiss
.. _`source code repository`: https://github.com/SciKit-Surgery/scikit-surgeryimage
.. _`Documentation`: https://scikit-surgeryimage.readthedocs.io
.. _`University College London (UCL)`: http://www.ucl.ac.uk/
.. _`Wellcome`: https://wellcome.ac.uk/
.. _`EPSRC`: https://www.epsrc.ac.uk/
.. _`contributing guidelines`: https://github.com/SciKit-Surgery/scikit-surgeryimage/blob/master/CONTRIBUTING.rst
.. _`license file`: https://github.com/SciKit-Surgery/scikit-surgeryimage/blob/master/LICENSE
.. _`common issues`: https://github.com/SciKit-Surgery/scikit-surgery/wikis/Common-Issues