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Library to enable easy use of the Orfeo ToolBox (OTB) in Python

Project description

pyotb: Orfeo ToolBox for Python

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pyotb wraps the Orfeo Toolbox in a pythonic, developer friendly fashion.

Key features

  • Easy use of Orfeo ToolBox (OTB) applications from python
  • Simplify common sophisticated I/O features of OTB
  • Lazy execution of operations thanks to OTB streaming mechanism
  • Interoperable with popular python libraries (numpy and rasterio)
  • Extensible

Documentation hosted at


Building a simple pipeline with OTB applications

import pyotb

# RigidTransformResample, with input parameters as dict
resampled = pyotb.RigidTransformResample({
    "in": "https://myserver.ia/input.tif",  # Note: no /vsicurl/
    "interpolator": "linear", 
    "": 0.5,
    "": 0.5

# OpticalCalibration, with input parameters as args
calib = pyotb.OpticalCalibration(resampled)

# BandMath, with input parameters as kwargs
ndvi = pyotb.BandMath(calib, exp="ndvi(im1b1, im1b4)")

# Pythonic slicing
roi = ndvi[20:586, 9:572]

# Pipeline execution. The actual computation happens here!
roi.write("output.tif", "float")

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