how apply sliding window on the image to find certain object ?
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
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!!!
3 commentaires
Réponses (0)
Voir également
Catégories
En savoir plus sur Image Data Workflows dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!