clc;close all;clear all;DatabaseDir=fullfile(toolboxdir('vision'),'elephants','dataset');TestDir=fullfile(toolboxdir('vision'),'elephants','testset'); Dataset=imageSet(DatabaseDir,'recursive'); Testset=imageSet(TestDir,'recursive');%dataset images
figure;subplot(1,2,1);imshow(Dataset(1).ImageLocation{1});subplot(1,2,2);imshow(Dataset(1).ImageLocation{2});%testset images
figure;subplot(1,2,1);imshow(Testset(1).ImageLocation{1});subplot(1,2,2);imshow(Testset(1).ImageLocation{2});img = read(Dataset(1), 4);[hog_4x4, vis4x4] = extractHOGFeatures(img,'CellSize',[4 4]);cellsize = [4 4];hogFeatureSize = length(hog_4x4);trainFeatures=[];trainLabels=[];l=numel(Dataset);for i=1:l numimages=Dataset(i).Count; features=zeros(numimages,hogFeatureSize,'single'); for j=1:numimages img=read(Dataset(i),j); level=graythresh(img); img=im2bw(img,level); features(i,:)=extractHOGFeatures(img,'CellSize',cellsize); end; labels = repmat(trainingSet(digit).Description, numimages, 1); trainFeatures=[trainingFeaturres;features]; trainLabels=[trainingLabels;labels];end% fitcecoc uses SVM learners and a 'One-vs-One' encoding scheme.
classifier = fitcecoc(trainFeatures, trainLabels);
MATLAB: An error ” Subscripted assignment dimension mismatch” on line ‘ features(i,:)=extractHOGFeatures(img,’CellSize’,cellsize);’ what might be the problem for the given code
detectionextracthogfeatures
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