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PDAL 1.6.0

Point cloud data processing

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

 
File Type Py Version Uploaded on Size
PDAL-1.6.0.tar.gz (md5) Source 2017-10-13 48KB