{
    "info": {
        "author": "Matt Clarkson",
        "author_email": "m.clarkson@ucl.ac.uk",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Healthcare Industry",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: C++",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Medical Science Apps.",
            "Topic :: Scientific/Engineering :: Physics",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Software Development"
        ],
        "description": "# scikit-surgeryopencvcpp\n\n[![Build Status](https://travis-ci.com/UCL/scikit-surgeryopencvcpp.svg?branch=master)](https://travis-ci.com/UCL/scikit-surgeryopencvcpp)\n[![Build status](https://ci.appveyor.com/api/projects/status/jbs1qln3id8ln25o/branch/master?svg=true\n)](https://ci.appveyor.com/project/MattClarkson/scikit-surgeryopencvcpp/)\n\n\nscikit-surgeryopencvcpp implements image guided surgery algorithms, using [OpenCV](https://opencv.org/), in C++ and wrapped in Python.\n\nscikit-surgeryopencvcpp is part of the \n[SNAPPY](https://weisslab.cs.ucl.ac.uk/WEISS/PlatformManagement/SNAPPY/wikis/home) software project, \ndeveloped at the [Wellcome EPSRC Centre for Interventional and Surgical Sciences](http://www.ucl.ac.uk/weiss), \npart of [University College London (UCL)](http://www.ucl.ac.uk/).\n\n\n# Features\n\n* Support for Python Wheels, thanks to [Matthew Brett's multibuild](https://github.com/matthew-brett/multibuild).\n* Triangulation using [Hartley and Zisserman's method](http://www.morethantechnical.com/2012/01/04/simple-triangulation-with-opencv-from-harley-zisserman-w-code), and the [midpoint of two lines](http://geomalgorithms.com/a07-_distance.html).\n* Surface reconstruction, using [Dan Stoyanov's](https://iris.ucl.ac.uk/iris/browse/profile?upi=DSTOY26) [MICCAI 2010 method](https://link.springer.com/chapter/10.1007/978-3-642-15705-9_34), implemented in [OpenCV](http://www.opencv.org) by [Dimitris Psychogyios](https://github.com/dimitrisPs).\n\n# Installing\n\nYou can pip install the latest Python package as follows:\n\n```\npip install scikit-surgeryopencvcpp\n```\n\n# Examples\n\n## Surface Reconstruction\n```python\npip install pptk opencv-python scikit-surgeryopencvcpp\npython\nimport sksurgeryopencvpython as skscv\nimport pptk\nimport numpy as np\nimport cv2\nleft_image = cv2.imread('Testing/Data/reconstruction/f7_dynamic_deint_L_0100.png')\nright_image = cv2.imread('Testing/Data/reconstruction/f7_dynamic_deint_R_0100.png')\nleft_intrinsics = np.loadtxt('Testing/Data/reconstruction/calib.left.intrinsic.txt')\nright_intrinsics = np.loadtxt('Testing/Data/reconstruction/calib.right.intrinsic.txt')\nl2r = np.loadtxt('Testing/Data/reconstruction/calib.l2r.4x4')\nrotation_matrix = l2r[0:3, 0:3]\ntranslation_vector = l2r[0:3, 3:4]\npoints = skscv.reconstruct_points_using_stoyanov(left_image, left_intrinsics, right_image, right_intrinsics, rotation_matrix, translation_vector, False)\npoints_3d = points[:,0:3]\nv = pptk.viewer(points_3d)\n```\n\n# Developing\n\n## Cloning\n\nYou can clone the repository using the following command:\n\n```\ngit clone https://github.com/UCL/scikit-surgeryopencvcpp.git\n```\n\n\n## Build instructions\n\nStill not for the faint-hearted. It depends if you are a C++ developer familiar\nwith CMake or a hybrid C++/Python developer primarily interested in writing\nPython extensions.\n\nThe simplest advice really is to read ```appveyor.yml```, as this will always\nbe up to date. \n\n\n## Preferred Branching Workflow for Contributions.\n\nWe welcome contributions to this project. Please use the following workflow.\n\n 1. Raise issue in this project's Github Issue Tracker.\n 2. Fork repository.\n 3. Create a feature branch called ```<issue-number>-<some-short-description>```\n    replacing ```<issue-number>``` with the Github issue number\n    and ```<some-short-description>``` with your description of the thing you are implementing.\n 4. Code on that branch.\n 5. Push to your remote when ready.\n 6. Create pull request.\n 7. We will review code, suggest and required changes and merge to master when it is ready.\n\n\n# Dashboards\n\nIn addition to Travis and Appveyor builds, C++ results are also \nsubmitted to a public [CDash](http://cdash.cmiclab.cs.ucl.ac.uk/index.php?project=scikit-surgeryopencvcpp) dashboard.\n\n\n# Licensing and copyright\n\nCopyright 2018 University College London.\nscikit-surgeryopencvcpp is released under the BSD-3 license. \nPlease see the [license file](https://github.com/UCL/scikit-surgeryopencvcpp/blob/master/LICENSE.txt) for details.\n\n\n# Acknowledgements\n\nSupported by [Wellcome](https://wellcome.ac.uk/) and the [EPSRC](https://www.epsrc.ac.uk/).\n\nThe project was generated, using \n[CMakeCatchTemplate](https://github.com/MattClarkson/CMakeCatchTemplate) \nand [CMakeTemplateRenamer](https://github.com/MattClarkson/CMakeTemplateRenamer).\n\n",
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