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how apply sliding window on the image to find certain object ?

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Samir khan
Samir khan on 19 Jul 2018
Commented: Samir khan on 13 Aug 2018
i am using a trained network to classify but i want to know how can i apply sliding window on the image to classify. my code is ..
clc; clear; close all;
%% load the network net= alexnet; layers=net.Layers;
%% create datastore
imds=imageDatastore('imagedata',... 'IncludeSubfolder',true,... 'LabelSource','foldernames');
%% Split datastore into training and test set
[trainset, testset]=splitEachLabel(imds,2000);
%% modify the last two layers of the network
layers(end-2)=fullyConnectedLayer(2); layers(end)=classificationLayer;
%% set the training options
opts=trainingOptions('sgdm',... 'InitialLearnRate',0.001,... 'ExecutionEnvironment','gpu',... 'MiniBatchSize',64,... 'Plots','training-progress','CheckpointPath','C:\Users\trainee2018167\Documents\MATLAB','MaxEpochs',20);
% 'ValidationData',validationImages,... %
%% train the network
[newnet1, info]=trainNetwork(trainset,layers,opts);
%% saving
save newnet;
%% Predict data on test image
% dtermine actual and predicted result
act=testset.Labels;
predict=classify(newnet1,testset);
can you tell me how can i do it!!!

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