Hello,
I have an error in my python script "Process finished with exit code 139
(interrupted by signal 11: SIGSEGV)" when I run it. I have it at line 96
(Sampext) when I try to run all processes one after the other. When I run
the Sampext separately, it run fine. I also have it in line 97 (TrainRF).
I googled the error and understand this is a memory issue, but how do I
solve it?
Thank you in advance
Regards,
Natalie
----------------------
OS: Ubuntu 16.04 LTS 64-bit
Memory: 3.7GB
Processor: Intel Core i5 CPU M 560 @2.67GHz x4
Scripter: PyCharm
OTB version: 5.8.0
Image size: 7.8 MB
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#-------------------------------------------------------------------------------
# Name: Test .py
# Purpose: To test the use of otb
#
# Author: Natalie
#
# Created: 03/05/2017
# Copyright: (c) Natalie 2017
# Licence: <your licence>
#-------------------------------------------------------------------------------
import otbApplication
import os
#---------STRINGS-PATHS----------------------------------------------------------
triadi = r"/media/natalie/Windows/Users/Natalie/Dropbox/ATM_auth_pgp/THESIS/Data/Dimou/2007/20072.tif"
triadindvi = r"/media/natalie/Windows/Users/Natalie/Dropbox/ATM_auth_pgp/THESIS/Files/Indices/ndvitest.tif"
triadivec = r"/media/natalie/Windows/Users/Natalie/Dropbox/ATM_auth_pgp/THESIS/Files/Classifications/samptriad2.shp"
triadifolder = r"/media/natalie/Windows/Users/Natalie/Dropbox/ATM_auth_pgp/THESIS/Files/Classifications/triadi/"
#----------NDVI---------------------------------------------------(OK)----------
def Ndvi(input, out):
'''NDVI image with red channel=3, nir channel=4'''
ndvi = otbApplication.Registry.CreateApplication("RadiometricIndices")
ndvi.IN = input
ndvi.OUT = out
ndvi.CHANNELS.RED = 3
ndvi.CHANNELS.NIR = 4
ndvi.SetParameterStringList("list", ["Vegetation:NDVI"])
ndvi.ExecuteAndWriteOutput()
#----------CLASSIFICATION-------------------------------------------------------
#----------1. Polygon Class Statistics----------------------------(OK)--------------
def Pcs(input, vec, workfolder):
pcs = otbApplication.Registry.CreateApplication('PolygonClassStatistics')
pcs.IN = input
pcs.VEC = vec
pcs.FIELD = "cl"
pcs.OUT = workfolder + r"1samples.xml"
pcs.ExecuteAndWriteOutput()
# ----------2. Select Samples----------------------------------(OK)------------------
def Sampsel(input, vec, workfolder):
sampsel = otbApplication.Registry.CreateApplication("SampleSelection")
sampsel.IN = input
sampsel.VEC = vec
sampsel.FIELD = "cl"
# sampsel.STRATEGY = "constant"
sampsel.SetParameterString("strategy", "smallest")
sampsel.INSTATS = workfolder + r"1samples.xml"
sampsel.OUT = workfolder + r"2sampselect.shp"
sampsel.ExecuteAndWriteOutput()
# ----------3. Sample Extraction----------------------------------------------------
def Sampext(input, workfolder):
sampext = otbApplication.Registry.CreateApplication("SampleExtraction")
sampext.IN = input
sampext.VEC = workfolder + r"2sampselect.shp"
sampext.FIELD = "cl"
sampext.SetParameterString("outfield", "prefix")
sampext.SetParameterString("outfield.prefix.name", "band_")
sampext.ExecuteAndWriteOutput()
# ----------4. Compute Image Statistics----------------------------------------------
def Imstats(input, workfolder):
imstats = otbApplication.Registry.CreateApplication("ComputeImagesStatistics")
imstats.IN = input
imstats.OUT = workfolder + r"4imstatistics.xml"
imstats.ExecuteAndWriteOutput()
# ----------5. Train classifier----------------------------------------------------
def TrainRF(workfolder):
trainrf = otbApplication.Registry.CreateApplication("TrainVectorClassifier")
# trainrf.IO.VD = [workfolder + r"2sampselect.shp"]
trainrf.SetParameterStringList("io.vd", [workfolder + r"2sampselect.shp"])
# trainrf.IO.STATS = workfolder + r"1samples.xml"
trainrf.SetParameterStringList("io.stats", workfolder + r"1samples.xml")
# trainrf.CLASSIFIER = "rf"
trainrf.SetParameterStringList("classifier", "rf")
# trainrf.FEAT = ["band_1", "band_2", "band_3"]
trainrf.SetParameterStringList("feat", ["band_1", "band_2"])
trainrf.CFIELD = "cl"
trainrf.IO.OUT = workfolder + r"5rfmodel.txt"
trainrf.ExecuteAndWriteOutput()
#================================================================================
print "Start"
# ----------Processes------------------------------------------------------------
Ndvi(triadi, triadindvi)
Pcs(triadi, triadivec, triadifolder)
Sampsel(triadi, triadivec, triadifolder)
# Imstats(triadi, triadifolder)
Sampext(triadi, triadifolder)
# TrainRF(triadifolder)
print "Successfull!!!"
