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executable file 336 lines (313 sloc) 11 KB
function [Data] = jobfile_validator(Data)
%Attempt to make backwards-compatible with older
% This file is part of prana, an open-source GUI-driven program for
% calculating velocity fields using PIV or PTV.
%
% Copyright (C) 2012 Virginia Polytechnic Institute and State
% University
%
% Copyright 2014-2015. Los Alamos National Security, LLC. This material was
% produced under U.S. Government contract DE-AC52-06NA25396 for Los
% Alamos National Laboratory (LANL), which is operated by Los Alamos
% National Security, LLC for the U.S. Department of Energy. The U.S.
% Government has rights to use, reproduce, and distribute this software.
% NEITHER THE GOVERNMENT NOR LOS ALAMOS NATIONAL SECURITY, LLC MAKES ANY
% WARRANTY, EXPRESS OR IMPLIED, OR ASSUMES ANY LIABILITY FOR THE USE OF
% THIS SOFTWARE. If software is modified to produce derivative works,
% such modified software should be clearly marked, so as not to confuse
% it with the version available from LANL.
%
% prana 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 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
%is the version variable present in the job file.
if ~isfield(Data,'version')
if ~isfield(Data,'par')
Data.par='0';
Data.parprocessors='1';
Data.version='1.5';
else
handles.data.version='1.9';
end
end
if ~isfield(Data,'exp_date')
Data.exp_date = '';
end
if ~isfield(Data,'exp_wavelength')
Data.exp_wavelength = '';
end
if ~isfield(Data,'exp_pixelsize')
Data.exp_pixelsize = '';
end
if ~isfield(Data,'exp_lensfocal')
Data.exp_lensfocal = '';
end
if ~isfield(Data,'exp_micro')
Data.exp_micro = '0';
end
if ~isfield(Data,'exp_lensfnum')
Data.exp_lensfnum = '0';
end
if ~isfield(Data,'exp_partD')
Data.exp_partD = '';
end
if ~isfield(Data,'exp_partdensity')
Data.exp_partdensity = '';
end
if ~isfield(Data,'exp_density')
Data.exp_density = '';
end
if ~isfield(Data,'exp_viscosity')
Data.exp_viscosity = '';
end
if ~isfield(Data,'exp_surfacetension')
Data.exp_surfacetension = '';
end
if ~isfield(Data,'exp_L')
Data.exp_L = '';
end
if ~isfield(Data,'exp_v0')
Data.exp_v0 = '';
end
if ~isfield(Data,'exp_Re')
Data.exp_Re = '';
end
if ~isfield(Data,'exp_St')
Data.exp_St = '';
end
if ~isfield(Data,'exp_M')
Data.exp_M = '';
end
if ~isfield(Data,'exp_ROI')
Data.exp_ROI = '';
end
if ~isfield(Data,'exp_diffractiondiameter')
Data.exp_diffractiondiameter = '';
end
if ~isfield(Data,'exp_depthoffocus')
Data.exp_depthoffocus = '';
end
if ~isfield(Data,'exp_notes')
Data.exp_notes = '';
end
% if ~isfield(Data,'selfcal')
% Data.selfcal = 0;
% end
% If PIV0 doesn't exist, create it.
if ~isfield(Data,'PIV0')
Data.PIV0 = Data.PIV1;
end
%does the job file have information about the second image directory
if ~isfield(Data,'imdirec2')
Data.imdirec2 = Data.imdirec;
Data.imbase2 = Data.imbase;
end
%does the job file know whether whether it should ignore the second camera directory?
if ~isfield(Data,'numcams')
Data.numcams = '1';
end
%does the job file have the zero mean option
if ~isfield(Data.PIV0,'zeromean')
for pass=0:str2double(Data.passes)
eval(['Data.PIV',num2str(pass),'.zeromean=''0'';']);
eval(['Data.PIV',num2str(pass),'.peaklocator=''1'';']);
end
end
%does the job file have infromation about the color channels
if ~isfield(Data,'channel')
Data.channel = '1';
end
%does the job file have a variable for window overlap
if ~isfield(Data.PIV0,'winoverlap')
for pass=0:str2double(Data.passes)
eval(['Data.PIV',num2str(pass),'.winoverlap=''1'';']);
end
end
%does the job file have a variable for fractionally weighted correlations
if ~isfield(Data.PIV0,'frac_filt')
for pass=0:str2double(Data.passes)
eval(['Data.PIV',num2str(pass),'.frac_filt=''1'';']);
%SPC has been moved to '5' so check to see if SPC was used and
%reset it to '5'.
if str2double(eval(['Data.PIV' num2str(pass) '.corr'])) == 3
eval(['Data.PIV',num2str(pass),'.corr=''5'';']);
end
end
end
%does the job file have infromation about interative window deformation
if ~isfield(Data.PIV0,'deform_min')
for pass=0:str2double(Data.passes)
eval(['Data.PIV',num2str(pass),'.deform_min=''1'';']);
eval(['Data.PIV',num2str(pass),'.deform_max=''1'';']);
eval(['Data.PIV',num2str(pass),'.deform_conv=''0.1'';']);
end
end
if ~isfield(Data,'runPIV')
Data.runPIV = '1';
end
%does the job file have the ability to save correlation planes
if ~isfield(Data.PIV0,'saveplane')
for pass=0:str2double(Data.passes)
eval(['Data.PIV',num2str(pass),'.saveplane=''0'';']);
end
end
%does the job file have the ability to validate based on correlation peaks
if ~isfield(Data.PIV0,'uncertaintyestimate')
for pass=0:str2double(Data.passes)
eval(['Data.PIV',num2str(pass),'.uncertaintyestimate=''0'';']);
eval(['Data.PIV',num2str(pass),'.ppruncertainty=''0'';']);
eval(['Data.PIV',num2str(pass),'.miuncertainty=''0'';']);
eval(['Data.PIV',num2str(pass),'.imuncertainty=''0'';']);
eval(['Data.PIV',num2str(pass),'.mcuncertainty=''0'';']);
eval(['Data.PIV',num2str(pass),'.csuncertainty=''0'';']);
end
end
%does the job file have the ability to estimate uncertainty
if ~isfield(Data.PIV0,'corrpeaktest')
for pass=0:str2double(Data.passes)
eval(['Data.PIV',num2str(pass),'.corrpeaktest=''0'';']);
eval(['Data.PIV',num2str(pass),'.corrpeak_absthresh=''0'';']);
eval(['Data.PIV',num2str(pass),'.corrpeak_ratiothresh=''1.2'';']);
end
end
% This performs a check to see if the job files
% contains the field 'outputpassbase' if not then it
% used the output name from the final pass.
if ~isfield(Data,'outputpassbase')
eval(['Data.outputpassbase = Data.PIV' Data.passes '.outbase;']);
end
%does the job file have infromation about input velocity fields
if ~isfield(Data,'input_vel_type')
Data.input_vel_type = 'none';
end
if ~isfield(Data,'input_velocity')
Data.input_velocity = '';
end
if ~isfield(Data,'input_veldirec')
Data.input_veldirec = '';
end
if ~isfield(Data,'input_velbase')
Data.input_veldirec = '';
end
% Check to see if the job file is using the old version of correlation
% names with numbers. The code now uses string names which make it easier
% to add features in the future.
if length(Data.PIV0.corr) == 1
for pass=0:str2double(Data.passes)
eval(['ctype = str2double(Data.PIV',num2str(pass),'.corr);']);
if ctype == 1;
eval(['Data.PIV',num2str(pass),'.corr = ''SCC'';']);
elseif ctype == 2;
eval(['Data.PIV',num2str(pass),'.corr = ''RPC'';']);
elseif ctype == 3;
eval(['Data.PIV',num2str(pass),'.corr = ''GCC'';']);
elseif ctype == 4;
eval(['Data.PIV',num2str(pass),'.corr = ''FWC'';']);
elseif ctype == 5;
eval(['Data.PIV',num2str(pass),'.corr = ''SPC'';']);
end
end
end
% This changes the RPC diameter form a 1 dimensional variable to a 2D one.
% This will be used in the spectial energy filter for making 2D filters.
for pass=0:str2double(Data.passes)
eval(['check = regexp(Data.PIV' num2str(pass) '.RPCd,''[,;]'');'])
if isempty(check)
eval(['Data.PIV' num2str(pass) '.RPCd = [num2str(Data.PIV' num2str(pass) '.RPCd) '','' num2str(Data.PIV' num2str(pass) '.RPCd)];'])
end
end
%Do we want to save the dewarped images in a subfolder of the vector output
%directory named imDeform/?
%Currently, this switch is not accessible in the GUI
if ~isfield(Data,'SaveIMdeform')
Data.SaveIMdeform = '0';
end
% --- Tacking Info ---
%does the job file have tracking infromation.
if ~isfield(Data,'ID')
if ispc
% Data.loaddirec=[pwd '\'];
Data.ID.save_dir = [pwd,'\ID\'];
Data.Size.save_dir = [pwd,'\Size\'];
Data.Track.save_dir = [pwd,'\Track\'];
Data.Track.PIVprops.load_dir= [pwd,'\'];
else
% Data.loaddirec=[pwd '/'];
Data.ID.save_dir = [pwd,'/ID/'];
Data.Size.save_dir = [pwd,'/Size/'];
Data.Track.save_dir = [pwd,'/Track/'];
Data.Track.PIVprops.load_dir= [pwd,'/'];
end
end
if ~isfield(Data.ID,'runid')
Data.runPIV = '1';
Data.ID.runid = '0';
Data.ID.method = '2';
Data.ID.imthresh = '10';
Data.ID.savebase = 'ID_';
% Sizing Default values
Data.Size.runsize = '0';
Data.Size.method = 'GEO';
Data.Size.std = '4';
Data.Size.savebase = 'SIZE_';
% Tracking Default values
Data.Track.runtrack = '0';
Data.Track.method = '1';
Data.Track.prediction= '1';
Data.Track.PIVweight = '0.5';
Data.Track.radius = '15';
Data.Track.disweight = '1.0';
Data.Track.sizeweight= '0.5';
Data.Track.intensityweight = '0.5';
Data.Track.estradius = '15';
Data.Track.estweight = '.1';
Data.Track.savebase = 'Track_';
Data.Track.trackdat = '0';
Data.Track.trackmat = '1';
Data.Track.vectors = '3';
Data.Track.iterations= '3';
% Tracking Validation Values
Data.Track.valprops.run = '1';
Data.Track.valprops.valcoef = '0,0,0.2';
Data.Track.valprops.valrad = '20,20,0';
Data.Track.valprops.MAD_U = '1,0.75,0';
Data.Track.valprops.MAD_V = '1,0.75,0';
end
if ~isfield(Data.Size,'min_area')
Data.Size.min_area = '0';
end
% Check to see if the job files have the new tracking output options. If
% not add them to the jobfile setting *.mat as the output.
if ~isfield(Data.Track,'trackdat')
Data.Track.trackdat = '0';
Data.Track.trackmat = '1';
end
% Check to see if an old job with numerical sizing methods was loaded and
% switch the number to a string.
if ~isnan(str2double(Data.Size.method))
size_str = {'IWC','TPG','FTG','CFPG','LSG','CLSG'};
Data.Size.method = size_str{str2double(Data.Size.method)};
end
ver = pranaPIVcode('version');
Data.version = ver;
ver = pranaPTVcode('version');
Data.ptv_version = ver;
% This checks to see if the variables 'winres1' and winres2' exist and if
% so remove them. The code now will just parse the winres string limiting
% the number of places this data is stored.
if isfield(Data.PIV0,'winres1')
for i = 0:str2double(Data.passes)
eval(['Data.PIV' num2str(i) '.winres= sprintf(''%s;%s'',Data.PIV' num2str(i) '.winres1,Data.PIV' num2str(i) '.winres2);'])
eval(['Data.PIV' num2str(i) '=rmfield(Data.PIV' num2str(i) ',''winres1'');'])
eval(['Data.PIV' num2str(i) '=rmfield(Data.PIV' num2str(i) ',''winres2'');'])
end
end