Hi, I am trying to put a box around the car and have it's confidence level placed on top of the box, how can I do that?

I have tried insertObjectAnnotation but i am having error. Here are my codes :

    clear

    net = googlenet;   % Load the neural net
    net.Layers

    % while true   
       labelType ='' 
        [file,path]=uigetfile({'*.jpg;*.jpeg;*.bmp;*.png;*.tif'},'Choose an image');
        s=[path,file];
        I=imread(s);
    %     I = imread('car1.jpeg');
        sz = net.Layers(1).InputSize ;
        inputSize = net.Layers(1).InputSize
        size(I)
        I = imresize(I,inputSize(1:2));
        figure
        imshow(I)
        [label, score] = classify(net, I);        % Classify the picture
         if (label == 'convertible')
              labelType = 'Vehicle Recognised'

         elseif (label == 'moped')
              labelType = 'Vehicle Recognised'
         elseif (label == 'tank')
              labelType = 'Vehicle Recognised'
         elseif (label == 'sports car')
              labelType = 'Vehicle Recognised'
         elseif (label == 'moving van')
              labelType = 'Vehicle Recognised'
         elseif (label == 'trailer truck')
              labelType = 'Vehicle Recognised'          
         elseif (label == 'garbage truck')
              labelType = 'Vehicle Recognised'
         elseif (label == 'trailer truck')
              labelType = 'Vehicle Recognised'
         elseif (label == 'minivan')
               labelType = 'Vehicle Recognised'
         elseif (label == 'beach wagon')
               labelType = 'Vehicle Recognised'
         elseif (label == 'ambulance')
               labelType = 'Vehicle Recognised'
         elseif (label =='cab')
             labelType = 'Vehicle recognised';
         else
               labelType = 'No Vehicle Recognised'
         end    
        position = [23 373 60 66;35 185 77 81;77 107 59 26];
        I = insertObjectAnnotation(I, 'rectangle', label, score);
        imshow(I);     % Show the picture
        message = strcat(labelType,'-', char(label)) 
        title({char(message),num2str(mac(score),3)}); % Show the label

        I=imread(s);
        BW = im2bw(I,0.2); 
        se = strel('rectangle', [2 20]); 
        BW_opened = imclose(BW,se); 
        figure, imshow(BW_opened,[]) 
        s=regionprops(BW_opened,'Area','BoundingBox'); 
        [hh,ii] = sort([s.Area],'descend'); 
        out = imcrop(I,s(ii(2)).BoundingBox); 
        figure,imshow(out); 
        out_path = 'C:\Users\Student\Desktop\Vehicle number plate recognition\test images'; % Give path here
        fullFileName = fullfile(out_path, 'test_image.jpg');
        imwrite(out, fullFileName);

        load imgfildata;
        picture=imread(fullFileName);
        [~,cc]=size(picture);
        picture=imresize(picture,[300 500]);

        if size(picture,3)==3
          picture=rgb2gray(picture);
        end
        se=strel('rectangle',[5,5]);
        a=imerode(picture,se);
        figure,imshow(a);
        b=imdilate(a,se);
        threshold = graythresh(picture);
        picture =~im2bw(picture,threshold);
        percentageBlack = (1-nnz(picture)/numel(picture))*100
        picture = bwareaopen(picture,50);
        if (percentageBlack < 50)
            picture = imcomplement(picture);
        end 
        [L,Ne]=bwlabel(picture);
        propied=regionprops(L,'BoundingBox');
        hold on
        pause(1)
        for n=1:size(propied,1)
          rectangle('Position',propied(n).BoundingBox,'EdgeColor','g','LineWidth',1)
        end
        hold off

        figure
        final_output=[];
        t=[];
        for n=1:Ne
          [r,c] = find(L==n);
          n1=picture(min(r):max(r),min(c):max(c));
          n1=imresize(n1,[42,24]);
          imshow(n1)
          pause(0.2)
          x=[ ];

        totalLetters=size(imgfile,2);

         for k=1:totalLetters

            y=corr2(imgfile{1,k},n1);
            x=[x y];

         end
         t=[t max(x)];
         if max(x)>.45
         z=find(x==max(x));
         out=cell2mat(imgfile(2,z));

        final_output=[final_output out];
        end
        end

        file = fopen('number_Plate.txt', 'wt');
            fprintf(file,'%s\n',final_output);
            fclose(file);                     
            winopen('number_Plate.txt')

        drawnow;   
        %end

The error that i get is : | _Error using insertObjectAnnotation Expected input number 3, POSITION, to be one of these types:

numeric

Instead its type was categorical.

Error in insertObjectAnnotation

Error in insertObjectAnnotation

Error in GoogleNet (line 49) I = insertObjectAnnotation(I, 'rectangle', label, score);

>>_|

Answer 1

[Florian Morsch]

Error using insertObjectAnnotation Expected input number 3, POSITION, to be one of these types:

numeric

Instead its type was categorical.

   I = insertObjectAnnotation(I, 'rectangle', label, score);

Says all you need to know. From https://de.mathworks.com/help/vision/ref/insertobjectannotation.html you can see, that after 'rectangle' you need to specify where the rectangle should be. You are using your label as position, which cant work. It should look like this:

   I = insertObjectAnnotation(I, 'rectangle', PositionWhereRectangleShouldBe, label, score);

From the link i posted above you can read that your position should look like this [x y width height], so something like

PositionWhereRectangleShouldBe = [100 100 50 50];

would insert a rectangle at the position X100 Y100 with width and height of 50 pixel. You already have a position-variable

position = [23 373 60 66;35 185 77 81;77 107 59 26];

directly above your insertObjectAnnotation, but you didnt use it.

[Syafiqah Daud]

I've tried using your method but I still got an error of: _ *" Error using insertObjectAnnotation Expected LABEL to be one of these types:

cell

Instead its type was categorical.

Error in insertObjectAnnotation

Error in insertObjectAnnotation

Error in insertObjectAnnotation

Error in number_plate_det (line 45) I = insertObjectAnnotation(I, 'rectangle', PositionWhereRectangleShouldBe, label, score);

>> "*_

[Florian Morsch]

Again the error code says all you need. It expects "label" to be a cell , but the data type you are giving is categorical. As it seems you didnt bother to read the documentation in the link i gave, there is a example how the different input arguments should look like. Correct your data types for the input arguments, then the error should disappear.