How to load my pre trained model and use it to predict an image

I have my saved model. I want to load it on another script. I want to know how to load and clasiffy whether the detected image is correct or not?

tic

imds = imageDatastore('C:\Users\Renit\Desktop\lab1', ...

'IncludeSubfolders',true, ...

'LabelSource','foldernames');

imds.ReadFcn = @(filename)readAndPreprocessImage(filename);

[imdsTrain,imdsValidation] = splitEachLabel(imds,0.7,'randomized');

numTrainImages = numel(imdsTrain.Labels);

idx = randperm(numTrainImages,16);

figure

for i = 1:16

subplot(4,4,i)

I = readimage(imdsTrain,idx(i));

imshow(I)

end

time=toc

tic

net = alexnet;

analyzeNetwork(net)

inputSize = net.Layers(1).InputSize

layersTransfer = net.Layers(1:end-3);

numClasses = numel(categories(imdsTrain.Labels))

layers = [

layersTransfer

fullyConnectedLayer(numClasses,'WeightLearnRateFactor',20,'BiasLearnRateFactor',20)

softmaxLayer

classificationLayer];

pixelRange = [-30 30];

imageAugmenter = imageDataAugmenter( ...

'RandXReflection',true, ...

'RandXTranslation',pixelRange, ...

'RandYTranslation',pixelRange);

augimdsTrain = augmentedImageDatastore(inputSize(1:2),imdsTrain, ...

'DataAugmentation',imageAugmenter);

augimdsValidation = augmentedImageDatastore(inputSize(1:2),imdsValidation);

options = trainingOptions('sgdm', ...

'MiniBatchSize',32, ...

'MaxEpochs',10, ...

'InitialLearnRate',1e-4, ...

'Shuffle','every-epoch', ...

'ValidationData',augimdsValidation, ...

'ValidationFrequency',3, ...

'Verbose',false, ...

'Plots','training-progress');

netTransfer = trainNetwork(augimdsTrain,layers,options);

gregnet1 = netTransfer;

save gregnet1

[YPred,scores] = classify(netTransfer,augimdsValidation);

idx = randperm(numel(imdsValidation.Files),4);

figure

for i = 1:4

subplot(2,2,i)

I = readimage(imdsValidation,idx(i));

imshow(I)

label = YPred(idx(i));

title(string(label));

end

YValidation = imdsValidation.Labels;

accuracy = mean(YPred == YValidation)

I want the line after "save gregnet1" to be another script and i need to load the gregnet to just clasiffy whether the image is correctly detected or not.

Answer 1

[Mohammad Sami]

The variable gregnet can be saved and loaded from a .mat file like any other variables.

save('mynet.mat','gregnet1'); file = load('mynet.mat'); gregnet1 = file.gregnet1;

[renit anthony]

Yeah got it. My gregnet1.mat has been saved. Can you give me an example wherein I can load this model and used it to classify an image. ?