why i'm getting the following error using fitcecoc

Following is the code:

%%dataset= datastore('D:\mat_project');

imgfolder=fullfile('D:\','mat_project');

dataset = imageSet(imgfolder);

trainingLabel = zeros(1, 11);

personIndex = zeros(1, 11);

[training,test] = partition(dataset,[0.8 0.2]);

%%hog features for training set

trainingFeatures=zeros(size(training,2)*training(1).Count,531036);

featureCount=1;

for i= 1:size(training,2)

for j= 1:training(i).Count

trainingFeatures(featureCount,:)=extractHOGFeatures(read(training(i),j));

trainingLabel(featureCount,:)=training(i).Description;

featureCount=featureCount+1;

end

personIndex(i,:)=training(i).Description;

end

Classifier = fitcecoc(trainingFeatures,trainingLabel);

%%test imaage from test set

person=1;

querImage=read(test(person),1);

queryFeatures = extractHOGFeatures(queryImage);

personLabel = predict(faceClassifier,queryFeatures);

booleanIndex = strcmp(personLabel, personIndex);

integerIndex = find(booleanIndex);

subplot(1,2,1);imshow(queryImage);title('Query Face');

subplot(1,2,2);imshow(read(training(integerIndex),1));title('Matched Class');

Error using classreg.learning.internal.ClassLabel (line 29)

You must pass class labels as a vector.

Error in classreg.learning.classif.FullClassificationModel.prepareData (line 480)

allClassNames = levels(classreg.learning.internal.ClassLabel(Y));

Error in classreg.learning.FitTemplate/fit (line 213)

this.PrepareData(X,Y,this.BaseFitObjectArgs{:});

Error in ClassificationECOC.fit (line 116)

this = fit(temp,X,Y);

Error in fitcecoc (line 329)

obj = ClassificationECOC.fit(X,Y,ecocArgs{:});

Error in example (line 18)

Classifier = fitcecoc(trainingFeatures,trainingLabel);

Answer 1

[Rohan Amarapurkar]

As the error message suggeests, check your trainingLabel variable. Its dimensions must match with the dimensions (number of rows) of the trainingFeatures variable. You also might want to check the for loops again, there could be an error in the way you are allocating values to trainingLabel.

[Kuljinder Singh]

Your answer is not clear to me. Can you please tell me where to change the code.

Answer 2

[zinou sell]

i use Deep learning for face recignition and svm as a cllasifier. when i run the program i got this :

Error using classreg.learning.classif.FullClassificationModel.processClassNames (line 176)

Requested class names are not found among passed class labels.

Error in classreg.learning.classif.FullClassificationModel.prepareData (line 492)

classreg.learning.classif.FullClassificationModel.processClassNames(...

Error in classreg.learning.FitTemplate/fit (line 213)

this.PrepareData(X,Y,this.BaseFitObjectArgs{:});

Error in ClassificationECOC.fit (line 116)

this = fit(temp,X,Y);

Error in fitcecoc (line 329)

obj = ClassificationECOC.fit(X,Y,ecocArgs{:});

Error in CNNFaceRec (line 95)

clf = fitcecoc(descriptors,lab,'Learners',t,'FitPosterior',1,...

what should i do ?

thank you

[Saira]

How can I solve this error?

Error:

Subscripted assignment dimension mismatch.

trainingLabel(featureCount,:) = TrainingimgSets(i).Description;