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        "author": "Antoine Loriette",
        "author_email": "antoine.loriette@gmail.com",
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        "description": "PyRealsense\n===========\n\nCross-platform\n`ctypes <https://docs.python.org/2/library/ctypes.html>`__/`Cython <http://cython.org/>`__\nwrapper to the\n`librealsense <https://github.com/IntelRealSense/librealsense>`__\nlibrary.\n\nPrerequisites\n-------------\n\n-  install\n   `librealsense <https://github.com/IntelRealSense/librealsense#installation-guide>`__\n   and run the examples.\n\n-  install the dependencies: pyrealsense uses\n   `pycparser <https://github.com/eliben/pycparser>`__ for extracting\n   necessary enums and structures definitions from the librealsense API,\n   `Cython <http://cython.org/>`__ for wrapping the inlined functions in\n   the librealsense API, and `Numpy <http://www.numpy.org/>`__ for\n   generic data shuffling.\n\n-  Windows specifics: set environment variable PYRS\\_INCLUDES to the\n   ``rs.h`` directory location and environment variable PYRS\\_LIBS to\n   the librealsense binary location. You might also need to have\n   ``stdint.h`` available in your path.\n\nInstallation\n------------\n\nfrom `PyPI <https://pypi.python.org/pypi/pyrealsense/2.0>`__ - (OBS: not\nalways the latest):\n\n::\n\n    pip install pyrealsense\n\nfrom source:\n\n::\n\n    python setup.py install\n\nOnline Usage\n------------\n\n::\n\n    ## setup logging\n    import logging\n    logging.basicConfig(level = logging.INFO)\n\n    ## import the package\n    import pyrealsense as pyrs\n\n    ## start the service - also available as context manager\n    serv = pyrs.Service()\n\n    ## create a device from device id and streams of interest\n    cam = serv.Device(device_id = 0, streams = [pyrs.stream.ColorStream(fps = 60)])\n\n    ## retrieve 60 frames of data\n    for _ in range(60):\n        cam.wait_for_frames()\n        print(cam.color)\n\n    ## stop camera and service\n    cam.stop()\n    serv.stop()\n\nThe server for Realsense devices is started with ``pyrs.Service()``\nwhich will printout the number of devices available. It can also be\nstarted as a context with ``with pyrs.Service():``.\n\nDifferent devices can be created from the service ``Device`` factory.\nThey are created as their own class defined by device id, name, serial,\nfirmware as well as enabled streams and camera presets. The default\nbehaviour create a device with ``id = 0`` and setup the color, depth,\npointcloud, color\\_aligned\\_depth, depth\\_aligned\\_color and infrared\nstreams.\n\nThe available streams are either native or synthetic, and each one will\ncreate a property that exposes the current content of the frame buffer\nin the form of ``device.<stream_name>``, where ``<stream_name>`` is\ncolor, depth, points, cad, dac or infrared. To get access to new data,\n``Device.wait_for_frames`` has to be called once per frame.\n\nOffline Usage\n-------------\n\n::\n\n    ## with connected device cam\n    from pyrealsense import offline\n    offline.save_depth_intrinsics(cam)\n\n::\n\n    ## previous device cam now offline\n    from pyrealsense import offline\n    offline.load_depth_intrinsics('610205001689')  # camera serial number\n    d = np.linspace(0, 1000, 480*640, dtype=np.uint16)\n    pc = offline.deproject_depth(d)\n\nThe module ``offline`` can store the rs\\_intrinsics and depth\\_scale of\na device to disk by default in the user's home directory in the file\n``.pyrealsense``. This can later be loaded and used to deproject depth\ndata into pointcloud, which is useful to store raw video file and save\nsome disk memory.\n\nExamples\n--------\n\nThere are 3 examples using different visualisation technologies: - still\ncolor with `matplotlib <http://matplotlib.org/>`__ - color and depth\nstream with `opencv <http://opencv.org/>`__ - pointcloud stream with\n`VTK <http://www.vtk.org/>`__\n\nCaveats\n-------\n\nTo this point, this wrapper is tested with:\n\n-  `librealsense\n   v1.12.1 <https://github.com/IntelRealSense/librealsense/tree/v1.12.1>`__\n-  Ubuntu 16.04 LTS, Mac OS X 10.12.2 w/ SR300 camera\n-  Mac OS X 10.12.3 w/ R200 camera\n\nThe offline module only supports a single camera.\n\nBuild Status\n------------\n\nUbuntu Trusty, python 2 and 3: |Build Status|\n\nPossible Pull Requests\n----------------------\n\n-  improvments to the documentation\n-  more functionality from ``rs.h``\n-  boiler plate code (Qt example?)\n-  support for several cameras in offline module\n-  continuous integration for Windows and MacOs\n\nMake sure to push to the ``dev`` branch.\n\n.. |Build Status| image:: https://travis-ci.org/toinsson/pyrealsense.svg?branch=master\n   :target: https://travis-ci.org/toinsson/pyrealsense",
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