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Point cloud data processing

Project description

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.

The repository for PDAL’s Python extension is available at https://github.com/PDAL/python

It is released independently from PDAL itself as of PDAL 1.7.

Usage

Given the following pipeline, which simply reads an ASPRS LAS file and sorts it by the X dimension:

json = """
{
  "pipeline": [
    "1.2-with-color.las",
    {
        "type": "filters.sort",
        "dimension": "X"
    }
  ]
}"""

import pdal
pipeline = pdal.Pipeline(json)
pipeline.validate() # check if our JSON and options were good
pipeline.loglevel = 8 #really noisy
count = pipeline.execute()
arrays = pipeline.arrays
metadata = pipeline.metadata
log = pipeline.log
https://travis-ci.org/PDAL/python.svg?branch=master

Requirements

  • PDAL 1.7+
  • Python >=2.7 (including Python 3.x)
  • Cython (eg pip install cython)
  • Packaging (eg pip install packaging)

Changes

2.0.0

  • PDAL Python extension is now in its own repository on its own release schedule at https://github.com/PDAL/python
  • Extension now builds and works under PDAL OSGeo4W64 on Windows.

Project details


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