Error using svmtrain (line 253) Y and TRAINING must have the same number of rows. Error in TRAIN>trai​n_push_Cal​lback (line 264) model = svmtrain(label,data,'-c 32 -g 0.03'); Error in gui_mainfcn (line 96) feval(varargin{:}); Error in TRAIN

WHEN I RUN THE CODE NAMED TRAIN.m THE ABOVE ERRORS OCCURS..pLEASE HELP ME................

[Shashank Prasanna]

Could you please post the train.m code here. The error is not very helpful.

[Sico]

Here is the train.m code. Thank you in advance

Answer 1

[Sico]

Please help me, when I run the following code:

clc;
 clear all;

   % Load Datasets

   Dataset = 'path of the folder';
   Testset  = 'path of the folder';

   % we need to process the images first.
   % Convert your images into grayscale
   % Resize the images

   width=100; height=100;
   DataSet      = cell([], 1);

    for i=1:length(dir(fullfile(Dataset,'*.jpg')))

        % Training set process
        k = dir(fullfile(Dataset,'*.jpg'));
        k = {k(~[k.isdir]).name};
        for j=1:length(k)
           tempImage       = imread(horzcat(Dataset,filesep,k{j}));
           imgInfo         = imfinfo(horzcat(Dataset,filesep,k{j}));

            % Image transformation
            if strcmp(imgInfo.ColorType,'grayscale')
               DataSet{j}   = double(imresize(tempImage,[width height])); % array of images
            else
               DataSet{j}   = double(imresize(rgb2gray(tempImage),[width height])); % array of images
            end
        end
    end
   TestSet =  cell([], 1);
     for i=1:length(dir(fullfile(Testset,'*.jpg')))

        % Training set process
        k = dir(fullfile(Testset,'*.jpg'));
        k = {k(~[k.isdir]).name};
        for j=1:length(k)
           tempImage       = imread(horzcat(Testset,filesep,k{j}));
           imgInfo         = imfinfo(horzcat(Testset,filesep,k{j}));

            % Image transformation
            if strcmp(imgInfo.ColorType,'grayscale')
               TestSet{j}   = double(imresize(tempImage,[width height])); % array of images
            else
               TestSet{j}   = double(imresize(rgb2gray(tempImage),[width height])); % array of images
            end
        end
     end

   % Prepare class label for first run of svm
   % I have arranged labels 1 & 2 as per my convenience.
   % It is always better to label your images numerically
   % Please note that for every image in our Dataset we need to provide one label.
   % we have 30 images and we divided it into two label groups here.
   train_label               = zeros(size(30,1),1);
   train_label(1:15,1)   = 1;         % 1 = Glaucoma
   train_label(16:30,1)  = 2;         % 2 = Healthy

   % Prepare numeric matrix for svmtrain
   Training_Set=[];
   for i=1:length(DataSet)
       Training_Set_tmp   = reshape(DataSet{i},1, 100*100);
       Training_Set=[Training_Set;Training_Set_tmp];
   end

   Test_Set=[];
   for j=1:length(TestSet)
       Test_set_tmp   = reshape(TestSet{j},1, 100*100);
       Test_Set=[Test_Set;Test_set_tmp];
   end

   % Perform first run of svm
   SVMStruct = svmtrain(Training_Set , train_label, 'kernel_function', 'linear');
   Group       = svmclassify(SVMStruct, Test_Set);

I am getting the following errors:

Error using svmtrain (line 254) Y and TRAINING must have the same number of rows.

Error in Test (line 78) SVMStruct = svmtrain(Training_Set , train_label, 'kernel_function', 'linear');

How can I go about them. Thank you in advance

Answer 2

[thejas A V]

use same number of dataset rows equal number labels with row vector example pls refer to attachment