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runMetricsPlotCLBP.m
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runMetricsPlotCLBP.m
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% /* --------------------------------------------------------------------------------------
% * File: runMechanomeTimeScores.m
% * Date: 01/06/2015
% * Author: David Pastor Escuredo, [email protected]
% * Version: 0.2
% * License: BSD
% * --------------------------------------------------------------------------------------
% Copyright (c) 2013-2017, David Pastor Escuredo
% with Biomedical Image Technology, UPM (BIT-UPM)
% with BioEmergences, CNRS
% with LifeD Lab
% All rights reserved.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear
dNs=[1 2 3 6 13];%first is reference
StatsPath='../MechanicsStats/';
xtag='-1-0'
useDefault=1;%Number of modes in loadStatsMetadata
derive=0
doCluster=0
doProfile=0
doBasis=1
doProjection=0
drawClusterProfile=0
tinilags=[61 62 39 8 39 95 86];%for each dataset
tinilags(13)=50;
tinilags(18)=69;
tinilags(14)=105;
%%%%%%%%%%%%%%%% Descriptor Set and Descriptor Index %%%%%%%%%%%%%%%%%%%%%
%1 Topology
%2 Strain rates
%3 Displacements Field descriptors (Unstable)
%4 Left Lagrangian descriptors
%5 Right Lagrangian descriptors
DescriptorsSets=[5];
%For 4-5
DescriptorsIndexes=[5 6 7 8];
%check libStats/loadStatsMetadata
%For 1
%DescriptorsIndexes=[4]%check libStats/loadStatsMetadata
%For 2
%DescriptorsIndexes=[1 2]%check libStats/loadStatsMetadata
close all
%%%%%%%%%%%%%%%% Tissue selection from Movit. Original domain to get modes
tagfolder='/wtmut/'
s_metric={'mean', 'prct25', 'prct75', 'min', 'max'}
s_yl=[0.003 0.007 0.004 0.005 0.005; 0.04 0.007 0.06 0.005 0.005; 0.04 0.007 0.06 0.005 0.005; 0.03 0.01 0.03 0.005 0.005]
s_yl=[0.4 0.007 0.004 0.005 0.005; 0.6 0.007 0.06 0.005 0.005; 0.6 0.007 0.06 0.005 0.005; 20 0.01 0.03 0.005 0.005]
s_mi=1
%%%%%%%%%%%%%%%%% Plotting options
extraPlots=0
seePlots=1
savePlots=1
textSimple=2
fsize=36
%%%%%%%%%%%%%%%%% time
tfinal_m=-1
tini_m=-1
hini=6
hfin=13
hpf_limits=1
crop_time_axis=1
phys_time=1
plotZero=0
plotHPF=1%Flag
step_time=20
gridOn=1
widthMode=7
use_defaultRange=1
saveClusterData=0%save
removeProfileWithInvalid=1
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%% RUNNING %%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
figType=1%1 plot 2 image
globalrange=zeros(length(dNs),2)
globalrangef=zeros(length(dNs),2)
c=1
for DescriptorsSet=DescriptorsSets
for DescriptorIndex=DescriptorsIndexes
for idN=1:length(dNs)
DescriptorIndex
dN=dNs(idN)
tinilag=tinilags(dN)
loadParametersKinematics
loadStatsMetadata
tagDesc=['-' tagsCmaps{DescriptorIndex} tagg]
nameDesc=tags{DescriptorIndex};
nameDescLeg=tagsShort{DescriptorIndex};
D=dlmread([desc 'CLBP_score' '-' tagDesc '_v2.csv'])
% Df=dlmread([desc 'CLBP_future_score' '-' tagDesc '.csv'])
v=D(:,s_mi);
length(v)
vmax=max(v);
vmin=min(v);
globalrange(idN,:)=[vmin vmax]
h=figure
plot(v, 'Color', [255 140 0]./255, 'LineWidth', 3)
xlabel('time steps','FontSize',16)
ylabel('Distance to CLBP','FontSize',16)
ylim([0 s_yl(c,s_mi)])
set(gca,'XTick',[0:20:length(v)])
set(gca,'XTickLabel',[0:20:length(v)],'FontSize',18)
%title([dataset tagDesc])
grid on
[StatsPath dataset tagfolder filesep 'plot_CLBP_score' '-' tagDesc '-' s_metric(s_mi) '.png']
saveas(h,[StatsPath dataset tagfolder filesep 'plot_CLBP_score' '-' tagDesc '-' s_metric{s_mi} '.png'],'png')
% % v2=Df(:,s_mi);
% % length(v2)
% %
% % vmax=max(v2);
% % vmin=min(v2);
% % globalrangef(idN,:)=[vmin vmax]
% % h=figure
% % plot(v2, 'Color', [0 0 128]./255, 'LineWidth', 3)
% % xlabel('time steps','FontSize',16)
% % ylabel('cosine distance','FontSize',16)
% % ylim([0 s_yl(c,s_mi)])
% %
% % set(gca,'XTick',[0:20:length(v2)])
% % set(gca,'XTickLabel',[0:20:length(v2)],'FontSize',18)
% % title([dataset tagDesc])
% % grid on
% % [StatsPath dataset tagfolder filesep 'plot_CLBP_future_score' '-' tagDesc '-' s_metric(s_mi) '.png']
% % saveas(h,[StatsPath dataset tagfolder filesep 'plot_CLPB_future_score' '-' tagDesc '-' s_metric{s_mi} '.png'],'png')
% %
end
c=c+1
end
end
globalrange
% maxsD=[0 0 0 0 0.0002 0.006 0.006 0.007 0]
% max(D(:))
% max(Df(:))
%
% h=figure
% colormap('bone')
%Df=Df./maxsD(DescriptorIndex);
% if normType==1
%
% D=D./maxsD(DescriptorIndex);
% D=1-D;
% tagn='1'
% else
% 'hols'
% end
% imagesc(D, [0 1])
% axis off
% screen_size = get(0, 'ScreenSize');
% set(h, 'Position', [0 0 screen_size(3) screen_size(4) ] );
% if savePlots
% saveas(h,[StatsPath dataset tagfolder filesep 'past_score' tagn '-' datref '-' tagDesc '-' selCtag tag_modes '-modes' num2str(mxCluster) '.png'],'png')
% end
%
% h2=figure
% colormap('pink')
% %Df=max(Df(:))-Df;
%
% if normType==1
% Df=Df./maxsD(DescriptorIndex);
% Df=1-Df;
% tagn=''
% else
% 'hola'
% end
% imagesc(Df, [0 1])
% axis off
% screen_size = get(0, 'ScreenSize');
% set(h2, 'Position', [0 0 screen_size(3) screen_size(4) ] );
% if savePlots
% saveas(h2,[StatsPath dataset tagfolder filesep 'future_score' tagn '-' datref '-' tagDesc '-' selCtag tag_modes '-modes' num2str(mxCluster) '.png'],'png')
% end
%
% max(D(:))
% max(Df(:))
%
% pause