88 lines
2.4 KiB
Matlab
88 lines
2.4 KiB
Matlab
clear all
|
|
close all
|
|
format compact
|
|
clc
|
|
|
|
% script to calculate the statistics for each scan given this will currently only run if distances have been measured
|
|
% for all included scans (UsedSets)
|
|
|
|
% modify the path to evaluate your models
|
|
dataPath='/home/SampleSet/MVS Data/';
|
|
resultsPath='/home/PatchmatchNet/outputs/';
|
|
|
|
MaxDist=20; %outlier thresshold of 20 mm
|
|
|
|
time=clock;
|
|
|
|
method_string='patchmatchnet';
|
|
light_string='l3'; %'l7'; l3 is the setting with all lights on, l7 is randomly sampled between the 7 settings (index 0-6)
|
|
representation_string='Points'; %mvs representation 'Points' or 'Surfaces'
|
|
|
|
switch representation_string
|
|
case 'Points'
|
|
eval_string='_Eval_'; %results naming
|
|
settings_string='';
|
|
end
|
|
|
|
% get sets used in evaluation
|
|
UsedSets=[1 4 9 10 11 12 13 15 23 24 29 32 33 34 48 49 62 75 77 110 114 118];
|
|
|
|
nStat=length(UsedSets);
|
|
|
|
% struct
|
|
BaseStat.nStl=zeros(1,nStat);
|
|
BaseStat.nData=zeros(1,nStat);
|
|
BaseStat.MeanStl=zeros(1,nStat);
|
|
BaseStat.MeanData=zeros(1,nStat);
|
|
BaseStat.VarStl=zeros(1,nStat);
|
|
BaseStat.VarData=zeros(1,nStat);
|
|
BaseStat.MedStl=zeros(1,nStat);
|
|
BaseStat.MedData=zeros(1,nStat);
|
|
|
|
for cStat=1:length(UsedSets) %Data set number
|
|
|
|
currentSet=UsedSets(cStat);
|
|
|
|
%input results name
|
|
EvalName=[resultsPath method_string eval_string num2str(currentSet) '.mat'];
|
|
|
|
disp(EvalName);
|
|
load(EvalName);
|
|
|
|
Dstl=BaseEval.Dstl(BaseEval.StlAbovePlane); %use only points that are above the plane
|
|
Dstl=Dstl(Dstl<MaxDist); % discard outliers
|
|
|
|
Ddata=BaseEval.Ddata(BaseEval.DataInMask); %use only points that within mask
|
|
Ddata=Ddata(Ddata<MaxDist); % discard outliers
|
|
|
|
BaseStat.nStl(cStat)=length(Dstl);
|
|
BaseStat.nData(cStat)=length(Ddata);
|
|
|
|
BaseStat.MeanStl(cStat)=mean(Dstl);
|
|
BaseStat.MeanData(cStat)=mean(Ddata);
|
|
|
|
BaseStat.VarStl(cStat)=var(Dstl);
|
|
BaseStat.VarData(cStat)=var(Ddata);
|
|
|
|
BaseStat.MedStl(cStat)=median(Dstl);
|
|
BaseStat.MedData(cStat)=median(Ddata);
|
|
|
|
disp("acc");
|
|
disp(mean(Ddata));
|
|
disp("comp");
|
|
disp(mean(Dstl));
|
|
time=clock;
|
|
end
|
|
|
|
disp(BaseStat);
|
|
disp("mean acc")
|
|
disp(mean(BaseStat.MeanData));
|
|
disp("mean comp")
|
|
disp(mean(BaseStat.MeanStl));
|
|
|
|
totalStatName=[resultsPath 'TotalStat_' method_string eval_string '.mat']
|
|
save(totalStatName,'BaseStat','time','MaxDist');
|
|
|
|
|
|
|