عملکردبرنامه اصلی

[mary92]

سلام
از دوستان کسی می تونه برای درک بهتر این برنامه ،برنامه را توضیح دهد که چگونه کارمیکند ؟و ifig , num_start,.. توضیح دهد؟

clear; 
addpath common_innerdist; 

ifig	 = -1; 
sData	 ='data/'; 
sImage	 ='data/mpeg7/'; 

%% Parameters ---------------------------------------------- 
n_class	 = 70; 
n_obj	 = 20; 
n_objall	= n_obj*n_class; 
n_bull	 = 2*n_obj; 
labels	 = ceil((1:n_objall)/n_obj); 

num_start	= 8; 
search_step	= 1; 

%-- shape context parameters 
n_dist	 = 8; 
n_theta	 = 12; 
bTangent	= 1; 
bSmoothCont	= 1; 
n_contsamp	= 100; 
bSimplecont	= 1; 
thre	 = .6; 

%-- FILEs -------------------------------------------- 
sDisAngSamp	= ['_' i2s(n_dist,2) 'x' i2s(n_theta,2) 'x' i2s(n_contsamp,3)]; 
sCont	 = [sData 'cont_' i2s(n_contsamp) '.mat']; 
sSC	 = [sData 'IDSC' sDisAngSamp '.mat']; 
sSC1	 = [sData 'IDSC' sDisAngSamp '_1.mat']; 
sCont1	 = [sData 'cont_' i2s(n_contsamp) '_1.mat']; 

fprintf('%s,\n\n', sDisAngSamp); 

%-- Extract contours ------------------------------------------------------------- 
if 1 
bReflect	= 0; 
[cont_all] = batch_contour_f(sImage,n_class,n_obj,n_contsamp,bReflect); 
save(sCont, 'cont_all'); 
bReflect	= 1; 
[cont_all] = batch_contour_f(sImage,n_class,n_obj,n_contsamp,bReflect); 
save(sCont1, 'cont_all'); 
end 

%% Compute or Load all the shape context data ------------------------------------ 
if 1 
[SC] = Batch_Comp_IDSC( sImage, sCont, n_class, n_obj, n_dist, n_theta, ... 
bTangent, bSmoothCont, bSimplecont, 0); 
[SC1] = Batch_Comp_IDSC( sImage, sCont1, n_class, n_obj, n_dist, n_theta, ... 
bTangent, bSmoothCont, bSimplecont, 1); 
save(sSC, 'SC'); 
save(sSC1, 'SC1'); 
else 
load(sSC); 
load(sSC1); 
end 

%% classifying each object by comparing its SC to training objects ----------------- 
fprintf('Compute distance matrix b/w SC .............\n'); 

%-Compute distance matrix 
dismat	= zeros(n_objall,n_objall); 
for i1=1:n_objall 
t0	= clock; 
for i2=1:n_objall 
if i1~=i2 
[dis_sc,costmat]	= dist_bw_sc_C( SC{i1},SC{i2}, 0); 
[cvec,cost1]	 = DPMatching_C(costmat,thre,num_start,search_step); 
dismat(i1,i2)	 = cost1; 

[dis_sc,costmat]	= dist_bw_sc_C( SC{i1},SC1{i2}, 0); 
[cvec,cost2]	 = DPMatching_C(costmat,thre,num_start,search_step); 
dismat(i1,i2)	 = cost2; 

dismat(i1,i2)	 = min(cost1,cost2); 
end 
end 
disp(['Round ' num2str(i1) ' of 1400 finished, ' num2str(etime(clock,t0)) 'sec.']); 
end 

dismat	= min(dismat,dismat'); 

%% Get final bullseye score 
bull_score = Compu_Bullscore(dismat, n_class, n_obj, n_bull, labels); 
fprintf('\nBullseye score = %.2f', 100*bull_score);

ممنون میشم دوستان کمکم کنند.