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        "author": "The GenICam Committee",
        "author_email": "genicam@list.stemmer-imaging.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: Other/Proprietary License",
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        "description": "The `genicam` module is the official Python binding of GenICam that is developed and maintained by the GenICam committee.\n\n.. figure:: https://user-images.githubusercontent.com/8652625/44912527-715ca800-ad65-11e8-9a33-9a88d5411340.png\n    :alt: GenICam\n\n########################\nAbout the genicam module\n########################\n\nThe `genicam` module consists of two sub-modules. The one is `genapi` and the other is `gentl`. The `genapi` module gives you a way to control GenICam features of the target device supports. On the other hand, the `gentl` module gives you a way to control functionality that the target GenTL Producer supports.\n\n#############\nAnnouncements\n#############\n\n- **Version 1.0.0**: The initial release.\n\n########################\nUsing the genicam module\n########################\n\n*****************\nThe genapi module\n*****************\n\nIn this section, you will learn how to use the `genapi` module.\n\n==========================\nCreating a node map object\n==========================\n\nFirst, you create a node map object instantiating the `NodeMap` class:\n\n.. code-block:: python\n\n    from genicam.genapi import NodeMap\n\n    node_map = NodeMap()\n\nAnd then, load a device description file on the node map object. The `NodeMap` object supports several ways to make it. One is to load the file content as a `str` object:\n\n.. code-block:: python\n\n    file_content = 'blabla'\n    node_map.load_xml_from_string(file_content)\n\nAnother way is to load the file as an XML file:\n\n.. code-block:: python\n\n    file = an_xml_file\n    node_map.load_xml_from_file(file)\n\nThe other ways is to load the file as a Zip file:\n\n.. code-block:: python\n\n    file = a_zip_file\n    node_map.load_xml_from_zip_file(file)\n\n========================\nChanging a feature value\n========================\n\nOnce you loaded a device description file on a node map object, you would start to control GenICam feature nodes to control the target device. Now assume that we are going to control a GenICam feature node called `Foo`. To get the value of `Foo`, we code as follows:\n\n.. code-block:: python\n\n    a = node_map.Foo.value\n\nOn the other hand, if `Foo` is an Integer node then we code as follows to set a value:\n\n.. code-block:: python\n\n    node_map.Foo.value = 42\n\nIf `Foo` is a Boolean node, then you code as follows:\n\n.. code-block:: python\n\n    node_map.Foo.value = True\n\nOr if `Foo` is an Enumeration node, then you code as follows; it also works for a case where `Foo` is a String node:\n\n.. code-block:: python\n\n    node_map.Foo.value = 'Bar'\n\nIf `Foo` is a Command node, then you can execute the command with the following code:\n\n.. code-block:: python\n\n    node_map.Foo.execute()\n\n\n****************\nThe gentl module\n****************\n\nIn this section, you will learn how to use the `gentl` module.\n\n[TO BE DOCUMENTED]\n\n#####\nLinks\n#####\n\n*********\nHarvester\n*********\n\nThere is a sister project of the GenICam Python binding. It's called Harvester and is a reference implementation of the GenICam Python binding. Harvester gives you an intuitive way for image acquisition to make your life easier.\n\nHarvester is distributed under the Apache version 2 license so you can use it for free; however, note that GenICam applies for another license. The source code can be found at `GitHub <https://github.com/genicam/harvesters>`_.\n\nIn addition, Haveseter is also uploaded to PyPi repository so You can install that executing the following pip command:\n\n.. code-block:: shell\n\n    $ pip install harvesters\n\n****\nEMVA\n****\n\nIn `the EMVA website <https://www.emva.org/standards-technology/genicam/genicam-downloads/>`_, you can get useful resources to learn and use GenICam standards and its compliant devices and software:\n\nIt would be worth knowing the following keywords: *GenApi*, *GenTL*, *SFNC*, *GenTL SFNC*, *CLProtocol*, *PFNC*, and *GenCP*.\n\n\n",
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        "license": "The GenICam License Version 1.6",
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        "name": "genicam",
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