Constructing image data as dictionaries

I need to create dictionaries of my image dataset to run an implementation of a research paper. But I have no ideo how to.

I'm including the snippets of code

load('AR_1260_occu')
for n=1:1 % Controlling R index
    trainDict= AR_1260_neutral; %trainDict= AR_1260_neutral12; 
    train_faces=igo(trainDict,u,v);  train_facesL2=igo2(trainDict,u,v); train_facesL3=igo3(trainDict,u,v);
    alpha = 100;  % balancing parameter 
    people=100; % How many people
    M=size(train_faces,1);
    trainsize=size(train_faces,2); testsize=size(r,2);
    factor_train=trainsize/people;  
    count=0; countS1=0; countS2=0; countS3=0; 
    a1=1;  a2=1e-6; % Parameters for NIG
end

In the function called igo,

function y=igo(x,a,c)
    [s1,s2]=size(x);
    y=zeros(s1,s2);
    
    if s1==1260
        nn=[42 30];
    end
    
    for i=1:s2
        t1=reshape(x(:,i),nn);
       fh=[-1 0 1;-2 0 2;-1 0 1]; fv=[-1 -2 -1;0 0 0;1 2 1]; % Sobel Filter can be change to others
       Gh=filter2(fh,t1); Gv=filter2(fv,t1);
       t2=tanh(a*(Gv./Gh-c));
        %t2=atan(a*(Gv./Gh-c));
       % t2= d*sigmf(Gv./Gh,[a c]);
       % t2 = softsign(Gv./Gh,[a c]);
        y(:,i)=reshape(t2,[s1,1]);
        y(find(isnan(y)==1))=0;
    end
end

I hope this information is enough. The dictionaries, as I think, are AR_1260_occu, AR_1260_neutral and AR_1260_neutral12.

Answer 1

[Jalaj Gambhir]

Hi,

The code does not provide information on the keys and values used in the dictionary. You can use containers.Map to create a key-value pairs according to your use. You can create the same by:

keys = {1,2,4,5} 
values = {'one','two','four','five'} 
Dict = containers.Map(keys,values)