LidarClassifyGraph
==================

.. currentmodule:: globalmapper
.. py:function:: LidarClassifyGraph ([GM_LayerHandle_t32] aLayerList, GM_ClassifyGraphSetup_t aSettings, uint32 aReserved=0) -> GM_Error_t32

    Use a graph (segmentation-based) method to automatically identify Lidar returns of various types (i.e. building, vegetation).

    :param [GM_LayerHandle_t32] aLayerList: List of layers to search or None for all vector layers.
    :param GM_ClassifyGraphSetup_t aSettings: Classification settings. If None is provided, default settings will be used.
    :param uint32 aReserved: Reserved for future use; defaults to 0
    :returns: Error Code
    :rtype: GM_Error_t32
		
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.. list-table::
    :width: 100%
    :class: borderless
    :header-rows: 1

    * - BEFORE
      - AFTER

    * - .. image:: ../images/BeforeAfter_Images/AugustaUnclassifiedLidar.jpg
            :width: 400px
            :height: 400px
            :align: center

      - .. image:: ../images/BeforeAfter_Images/AugustaClassifiedLidar.png
            :width: 400px
            :height: 400px
            :align: center

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For more context refer to :doc:`the lidar sample scripts<../sampleCode/DemoLidar>`.