Metadata-Version: 2.1
Name: scikit-surgeryimage
Version: 0.6.5
Summary: scikit-surgeryimage implements image processing tools and alogrithms for Image Guided Surgery.
Home-page: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgeryimage
Author: Matt Clarkson
Author-email: YOUR-EMAIL@ucl.ac.uk
License: BSD-3 license
Description: scikit-surgeryimage
        ===============================
        
        .. image:: https://github.com/UCL/scikit-surgeryimage/raw/master/project-icon.png
           :height: 128px
           :width: 128px
           :target: https://github.com/UCL/scikit-surgeryimage
           :alt: Logo
        
        .. image:: https://travis-ci.com/UCL/scikit-surgeryimage.svg?branch=master
           :target: https://travis-ci.com/github/UCL/scikit-surgeryimage
           :alt: Travisx CI test status
        
        .. image:: https://coveralls.io/repos/github/UCL/scikit-surgeryimage/badge.svg?branch=master&service=github
            :target: https://coveralls.io/github/UCL/scikit-surgeryimage?branch=master
            :alt: Test coverage
        
        .. image:: https://readthedocs.org/projects/scikit-surgeryimage/badge/?version=latest
            :target: http://scikit-surgeryimage.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        
        
        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
        --------
        
        requirements.txt specifies a dependency on opencv-contrib-python, so you can use any OpenCV python therein.
        In addition, this project provides:
        
        * Video read and write.
        * Utilities to detect the number of cameras and prepare text for overlay on video.
        * Functions to make charuco boards, and detect charuco markers.
        * Interlacing and deinterlacing.
        * Convenience wrappers for erosion and dilation.
        
        
        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/UCL/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/UCL/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/UCL/scikit-surgeryimage/blob/master/CONTRIBUTING.rst
        .. _`license file`: https://github.com/UCL/scikit-surgeryimage/blob/master/LICENSE
        .. _`common issues`: https://github.com/UCL/scikit-surgery/wikis/Common-Issues
        
Keywords: medical imaging
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Description-Content-Type: text/x-rst
