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what is the problem in my following face recognition code?
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i dont know this is my code......
load data.mat
%Declare training data
P=[r h b bd];
%Create SOM neural network
%(64 minimum points and 64 maximum points)
net=newsom(minmax(P),[64 2]);
%Train SOM neural network for 1000 epochs
net.trainParam.epochs=100;
net=train(net,P);
%Plot SOM layer weights
x=net.iw{1,1},net.layers{1}.distances;
figure, plot(dist(x),'o');
title('SOM Layer Weights');
xlabel('Layer Weights');
ylabel('Magnitude');
%Plot SOM weight vectors
figure, plotsom(net.iw{1,1},net.layers{1}.distances)
sx=sim(net,P);
[l,m]=size(sx);
for u=1:1:m
sm(u)=find(sx(:,u));
end
%Load input face image
Q=imread('hulk6.jpg');
Q=double(reshape(Q,64,1));%(28 line)
i am getting the error
??? Error using ==> reshape
To RESHAPE the number of elements must not change.
Error in ==> simsom at 28
Q=double(reshape(Q,64,1));
what is the problem
5 Comments
omar shall
on 16 Jan 2014
Does this code compares a picture to pictures in database? if yes can you please add the edited file please
Accepted Answer
the cyclist
on 18 Jul 2013
Line 28 of your code is attempting to reshape Q into a 64x1 vector. The error is saying that there are not 64 elements in Q, the operation is impossible. You could breakpoint your code at line 27 to see why Q doesn't have the number of elements you expect.
2 Comments
Matt Kindig
on 18 Jul 2013
Shot in the dark, but I think this should work:
Q = double(reshape(Q,64,[]));
Note that second parameter is empty ([]) rather than 1. Keep in mind this approach only works in the number of elements in Q (from the previous imread() call) is divisible by 64, i.e.,
numel(Q)/64
yields a whole number.
If that is not the case, you will also need to resample the image to a 64xN image using imresize() or similar. In that case, this should work:
Q = double(imresize(Q, [64 NaN]));
More Answers (1)
Image Analyst
on 18 Jul 2013
Q is an entire image. It probably has 10 or 20 megapixels in it. Why do you think it has only 64 pixels in it?
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