How can I display the predicted labels in command window or in a text file.

I have trained two models: Model A is trained on 34 classes of words, and Model B is Trained on 14 classes of alphanumeric characters. I should load both models at the same time in order to recognize the word and alphanumeric characters series from vehicle license plate, and then display the predicted lables into command window or write the results to text file. Everthing work well until classification of each word and characters, but I don't know how to dispaly the classification result into text file or display the results into command window. Therefore, I am in dire need of your help. Thank you very much all of you.

[Walter Roberson]

You are assigning the output of prediction to a variable, right? When you ask to examine that output variable, what is class() of the variable and size() of the variable? And to confirm, the size() and class() is the same for both classifiers?

[Javid Hamdard]

@Walter Roberson, there are 34 classes of words, and 14 classes of alphanumeric characters. license plate contains one word(province name), and 3-6 alphanumeric characters. I extract alphanuric characters to one folder and word(province name) to another folder, then need to read from the those folders for classification. Size and Classes are different for both classifers.

[Javid Hamdard]

@Image Analyst, could it possible please to help me?

[Walter Roberson]

Image Analyst would need an answer to the same question that I asked:

When you ask to examine that output variable, what is class() of the variable and size() of the variable?

[Javid Hamdard]

@Walter Roberson, I extracted characters, numbers, and provinces name from the license plate, then I trained two models; one for alphanumeric characters classification, and another for provinces names classification.

The number plate usually have province name, and from 3-7 alphanumeric characters. The classification is done, as seen in the picture. Now I would like to display the pridicted results (squence) to a text file or in commond window. I used if and elseif condition but not work well. Firstly, I extracted the numbers, characters, and province name to a folder, and then read from them.

[Walter Roberson]

The part of the code that caused 'HRT 875326 %' to be displayed: show us that.

The part of the code that cause 'SEVEN 99.9979 %' to be displayed: show us that.

[Javid Hamdard]

@Walter Roberson

load model_A
filePattern = fullfile(myFolder, '*.jpg'); 
theFiles = dir(filePattern);
for k = 1 : length(theFiles)
    baseFileName = theFiles(k).name;
    fullFileName = fullfile(theFiles(k).folder, baseFileName);
    fprintf(1, 'Now reading %s\n', fullFileName);
    %reading it in as an image array 
    imageArray = imread(fullFileName);
    I2= imresize(imageArray,[51 21],'nearest');
    [YPredA,scoresA] = classify(netA,I2);
    scoresA = max(double(scoresA*100));
    for j = 1 : length(theFiles)
    end
    figure(),imshow(imageArray);
    title(join([string(YPredA),'' ,scoresA ,'%']))
   %----------------------------------------------------
    %this part reading province (HRT).
    load model_B
I2= imresize(im,[29 64],'nearest');
[YPred,scores] = classify(net,I2);
scores = max(double(scores*100));
figure (10),imshow(im);
title(join([string(YPred),'' ,scores ,'%']))
%-----------------------------------------------------------------------------------------

I would like to display the result to a text file or command window like "HRT77188SH"

Answer 1

[Walter Roberson]

fprintf() or fwrite() to save the information into a file.

For display purposes, you will may need sprintf() or compose() or strjoin() or the [] (horzcat) operator.

[Walter Roberson]

load model_A
filePattern = fullfile(myFolder, '*.jpg'); 
theFiles = dir(filePattern);
nfiles = length(theFiles);
predictions_A = cell(1,nfiles);
for k = 1 : nfiles
    baseFileName = theFiles(k).name;
    fullFileName = fullfile(theFiles(k).folder, baseFileName);
    fprintf(1, 'Now reading %s\n', fullFileName);
    %reading it in as an image array 
    imageArray = imread(fullFileName);
    I2= imresize(imageArray,[51 21],'nearest');
    [YPredA,scoresA] = classify(netA,I2);
    scoresA = max(double(scoresA*100));
    figure(),imshow(imageArray);
    title(join([string(YPredA),'' ,scoresA ,'%']))
    predictions_A{k} = pred2nameA(YpredA);
end
%----------------------------------------------------
%this part reading province (HRT).
load model_B
I2= imresize(im,[29 64],'nearest');
[YPred,scores] = classify(net,I2);
scores = max(double(scores*100));
figure (10),imshow(im);
title(join([string(YPred),'' ,scores ,'%']))
predictions = pred2name(Ypred);
%-----------------------------------------------------------------------------------------

overall_name = [predictions predictions_A{:}];

disp(overall_name);

fprintf(fid, '%s\n', overall_name);

function predname = pred2name(Ypred)
   predname = char(Ypred);
end

function predname = pred2name_A(YpredA)
   cYpredA = char(YPredA);
   from_names = {'ONE', 'TWO', 'THREE', 'FOUR', 'FIVE', 'SIX', 'SEVEN', 'EIGHT', 'NINE', 'SHIN'};
   to_names   = {'1',   '2',   '3',     '4',     '5',   '6',   '7',     '8',     '9',    'SH'};
   [found, idx] = ismember(cYPredA, from_names);
   if found
      predname = to_names{idx};
   else
       predname = cYPredA;
   end
end

[Javid Hamdard]

Dear @Walter Roberson, could you please recheck the code? I tried the code but I got error message as seen in picture. I tried my best but unable to resolve that. I appreciate your help so much.

[Walter Roberson]

I looked back through my code and it looks okay.

Notice that I have the assignment statment

predictions_A = cell(1,nfiles);

so even if the number of files turns out to be 0, the variable should be defined.

Please post your current version of the code.