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

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!!!

[Samir khan]

never mind i got my answer.

[Greg Heath]

which was …?

[Samir khan]

use nfilter or blockpro for sliding window. These function automatically slides over the image.