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readme.rst

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Introduction
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============
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This is a small python binding to the pointcloud library. Currently, the
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following parts of the API are wrapped (all methods operate on XYZ) point
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types
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This is a small python binding to the `pointcloud <http://pointclouds.org/>`_ library.
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Currently, the following parts of the API are wrapped (all methods operate on PointXYZ)
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point types
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* I/O and integration; saving and loading PCD files
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* segmentation
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seg.set_method_type(pcl.SAC_RANSAC)
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indices, model = seg.segment()
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or, for smoothing
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.. code-block:: python
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import pcl
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p = pcl.PointCloud()
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p.from_file("C/table_scene_lms400.pcd")
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fil = p.make_statistical_outlier_filter()
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fil.set_mean_k (50)
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fil.set_std_dev_mul_thresh (1.0)
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fil.filter().to_file("inliers.pcd")
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This work was supported by `Strawlab <http://strawlab.org/>`_.
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Requirements
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pcl.StatisticalOutlierRemovalFilter
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pcl.MovingLeastSquares
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For deficiencies in this documentation, please consule the
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`PCL API docs <http://docs.pointclouds.org/trunk/index.html>`_, and the
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`PCL tutorials <http://pointclouds.org/documentation/tutorials/>`_.
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.. automodule:: pcl
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:members:
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:undoc-members:

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