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OTBApplications.py
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OTBApplications.py
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# -*- coding: utf-8 -*-
"""
/***************************************************************************
QGIS_Edu
A QGIS plugin
Segmentation using OTB application
-------------------
begin : 2013-11-21
copyright : (C) 2014 by CNES
email : [email protected]
***************************************************************************/
/***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************/
"""
# import system libraries
import os
import shutil
from osgeo import gdal
import terre_image_run_process
# import loggin for debug messages
import logging
logging.basicConfig()
# create logger
logger = logging.getLogger('TerreImage_OTBApplications')
logger.setLevel(logging.INFO)
currentOs = os.name
if currentOs == "posix":
prefix = ""
else:
prefix = os.path.join(os.path.dirname(__file__), "win32", "bin")
def bandmath_cli(images, expression, output_filename):
"""
This function applies otbcli_BandMath to image with the given expression
Keyword arguments:
image -- raster layer to process
expression -- expression to apply
outputDirectory -- working directory
keyword -- keyword for output file name
"""
command = os.path.join(prefix, "otbcli ")
command += " BandMath "
args = " -il "
for image in images:
args += "\"" + image + "\"" + " "
args += " -exp " + str(expression)
args += " -out " + "\"" + output_filename + "\""
logger.info("command: " + command)
if os.name == "posix":
command += args
terre_image_run_process.run_process(command)
else:
terre_image_run_process.run_otb_app("BandMath", args)
def concatenateImages_cli(listImagesIn, outputname, options=None):
"""
Runs the ConcatenateImages OTB application.
Keyword arguments:
listImagesIn -- list of images to concatenates
outputname -- output image
"""
if listImagesIn and outputname:
command = os.path.join(prefix, "otbcli ")
command += " ConcatenateImages "
args = " -il " + " ".join(["\"" + f + "\"" for f in listImagesIn])
args += " -out " + "\"" + outputname + "\""
if options:
args += " uint16 "
logger.info("command: " + command)
# os.system( command )
# terre_image_utils.run_process(command)
if os.name == "posix":
# os.system( command )
command += args
terre_image_run_process.run_process(command)
else:
terre_image_run_process.run_otb_app("ConcatenateImages", args)
def kmeans_cli(image, nbClass, outputDirectory):
"""
pass
"""
filenameWithoutExtension = os.path.basename(os.path.splitext(image)[0])
output = os.path.join(outputDirectory, filenameWithoutExtension + "_kmeans_" + str(nbClass) + ".tif") # + temp[index:]
if not os.path.isfile(output):
if image and nbClass and outputDirectory:
command = os.path.join(prefix, "otbcli")
command += " KMeansClassification "
args = " -in " + "\"" + image + "\""
args += " -out " + "\"" + output + "\""
args += " -nc " + str(nbClass)
args += " -rand " + str(42)
logger.info("command: " + command)
if os.name == "posix":
command += args
terre_image_run_process.run_process(command)
else:
terre_image_run_process.run_otb_app("KMeansClassification", args)
return output
def color_mapping_cli_ref_image(image_to_color, reference_image, working_dir):
output_filename = os.path.join(working_dir, os.path.splitext(os.path.basename(image_to_color))[0]) + "colored.tif" # + os.path.splitext(image_to_color)[0]
if not os.path.isfile(output_filename):
logger.info(output_filename)
command = os.path.join(prefix, "otbcli")
command += " ColorMapping "
args = " -in " + "\"" + image_to_color + "\""
args += " -out " + "\"" + output_filename + "\" uint8"
args += " -method \"image\""
args += " -method.image.in " + "\"" + reference_image + "\""
logger.info("command: " + command)
if os.name == "posix":
command += args
terre_image_run_process.run_process(command)
else:
terre_image_run_process.run_otb_app("ColorMapping", args)
return output_filename
def otbcli_export_kmz(filename, working_directory):
output_kmz = os.path.join(working_directory, os.path.basename(os.path.splitext(filename)[0]) + ".kmz")
if not os.path.isfile(output_kmz):
command = os.path.join(prefix, "otbcli ")
command += "KmzExport "
args = " -in " + "\"" + filename + "\""
args += " -out " + "\"" + output_kmz + "\""
logger.info("command: " + command)
terre_image_run_process.run_process(command)
if os.name == "posix":
command += args
terre_image_run_process.run_process(command)
else:
terre_image_run_process.run_otb_app("KmzExport", args)
output_kmz = os.path.join(working_directory, os.path.basename(os.path.splitext(filename)[0]) + "xt.kmz")
return output_kmz
def computeStatistics(OneFeature, i, j = None, nodata = True):
"""
From the given feature, computes its statistics
Keyword Arguments :
OneFeature -- raster layer to analyze
i -- only for debugging
"""
logger.debug("one feature : " + OneFeature)
# saving the feature only for testing
out_one = OneFeature + str(i) + ".tif"
shutil.copy(OneFeature, out_one)
logger.debug(out_one)
# /testing
dataset = gdal.Open(str(OneFeature), gdal.GA_ReadOnly)
# dataset : GDALDataset
if dataset is None:
print "Error : Opening file ", OneFeature
else:
if j is None:
band = dataset.GetRasterBand(1)
else:
band = dataset.GetRasterBand(j)
if nodata:
band.SetNoDataValue(0)
stats = band.ComputeStatistics(False)
logger.debug("Feature " + str(i) + " : ")
logger.debug(stats)
return stats
dataset = None
return None
def compute_overviews(filename):
"""
Runs gdaladdo on the given filename
"""
if not os.path.isfile(filename + ".ovr"):
command = "gdaladdo "
command += " -ro "
command += "\"" + filename + "\""
command += " 2 4 8 16"
logger.debug("command to run" + command)
# os.system(command)
terre_image_run_process.run_process(command)