% close all; % clear all; % clc; N = 328 st = 0; Fsc=[]; MIU=[]; PA=[]; bestfsc=0; bestmiu=0; bestpa=0; bestep = 0; folder = '/media/jeyamariajose/7888230b-5c10-4229-90f2-c78bdae9c5de/Data/monuseg/resized/test/labelcol/'; listinfo = dir(strcat(folder,'*.png')); lm = length(listinfo); for k = 1:10 k Fsc=[]; MIU=[]; PA=[]; for i = 1:lm %I = double(imread(strcat(folder,listinfo(i).name))); imgfile = strcat(folder,listinfo(i).name); imgname = listinfo(i).name(1:27) ; i; %gname = strcat('./Brain_test/',num2str(i,'%04d'),'.png'); lname = '/media/jeyamariajose/7888230b-5c10-4229-90f2-c78bdae9c5de/Data/Projects/axialseg/KiU-Net-pytorch/results/monuseg/medTr/'; labelname = strcat(lname, num2str(k*10),'/', imgname); %imgname I = double(imread(imgfile));tmp2=zeros(512,512); %I = rgb2gray(I); tmp2(I>127) = 255; tmp2(I<126) = 0; tmp = double(imread(labelname)); tmp(tmp<127)=0;tmp(tmp>126)=255; %tmp2 = I; tp=0;fp=0;fn=0;tn=0;uni=0;ttp=0;lab=0; for p =1:512 for q =1:512 if tmp(p,q)==0 if tmp2(p,q) == tmp(p,q) tn = tn+1; else fp = fp+1; uni = uni+1; ttp = ttp+1; end elseif tmp(p,q)==255 lab = lab +1; if tmp2(p,q) == tmp(p,q) tp = tp+1; ttp = ttp+1; else fn = fn+1; end uni = uni+1; end end end if (tp~=0) F = (2*tp)/(2*tp+fp+fn); MIU=[MIU,(tp*1.0/uni)]; PA=[PA,(tp*1.0/ttp)]; Fsc=[Fsc;[i,F]]; else MIU=[MIU,1]; PA=[PA,1]; Fsc=[Fsc;[i,1]]; end end if bestfsc <= mean(Fsc) & (mean(Fsc) ~= 1) bestfsc = mean(Fsc); bestmiu = mean(MIU,2); bestpa = mean(PA,2); bestep = 10*k; end mean(Fsc) end bestfsc bestmiu %bestpa bestep % plot(Fsc(:,1),Fsc(:,2),'-*') % hold on % plot(Fsc(:,1),Fsc1(:,2),'-s') % hold off % figure();plot(Fsc(:,1),PA,'-*');hold on % plot(Fsc(:,1),PA1,'-s');hold off % Fsc1=Fsc; % MIU1=MIU; % PA1=PA;