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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.

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 = 9 #really noisy
count = pipeline.execute()
arrays = pipeline.arrays
metadata = pipeline.metadata
log = pipeline.log

Requirements

  • PDAL 1.4+
  • Python >=2.7 (including Python 3.x)

Changes

Release History

Release History

This version
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1.6.0

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1.5.0

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1.4.0

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1.3.0

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1.2.0

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1.1.0

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1.0.0

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
PDAL-1.6.0.tar.gz (49.5 kB) Copy SHA256 Checksum SHA256 Source Oct 13, 2017

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