Point cloud data processing
Project description
================================================================================
PDAL
================================================================================
The PDAL Python extension allows you to process data with PDAL into `Numpy`_
arrays. Additionally, you can use it to fetch `schema`_ and `metadata`_ from
PDAL operations.
Usage
--------------------------------------------------------------------------------
Given the following pipeline, which simply reads an `ASPRS LAS`_ file and
sorts it by the ``X`` dimension:
.. code-block:: python
json = """
{
"pipeline": [
"1.2-with-color.las",
{
"type": "filters.sort",
"dimension": "X"
}
]
}"""
import pdal
pipeline = pdal.Pipeline(pipeline)
pipeline.validate() # check if our JSON and options were good
pipeline.loglevel = 9 #really noisy
count = pipeline.execute()
arrays = pipeline.arrays
metadata = pipeline.metadata
log = pipeline.log
.. _`Numpy`: http://www.numpy.org/
.. _`schema`: http://www.pdal.io/dimensions.html
.. _`metadata`: http://www.pdal.io/development/metadata.html
Requirements
================================================================================
* PDAL 1.4+
* Python >=2.7 (including Python 3.x)
Changes
================================================================================
PDAL
================================================================================
The PDAL Python extension allows you to process data with PDAL into `Numpy`_
arrays. Additionally, you can use it to fetch `schema`_ and `metadata`_ from
PDAL operations.
Usage
--------------------------------------------------------------------------------
Given the following pipeline, which simply reads an `ASPRS LAS`_ file and
sorts it by the ``X`` dimension:
.. code-block:: python
json = """
{
"pipeline": [
"1.2-with-color.las",
{
"type": "filters.sort",
"dimension": "X"
}
]
}"""
import pdal
pipeline = pdal.Pipeline(pipeline)
pipeline.validate() # check if our JSON and options were good
pipeline.loglevel = 9 #really noisy
count = pipeline.execute()
arrays = pipeline.arrays
metadata = pipeline.metadata
log = pipeline.log
.. _`Numpy`: http://www.numpy.org/
.. _`schema`: http://www.pdal.io/dimensions.html
.. _`metadata`: http://www.pdal.io/development/metadata.html
Requirements
================================================================================
* PDAL 1.4+
* Python >=2.7 (including Python 3.x)
Changes
================================================================================
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