Krah Kouadio

Here are the steps you can follow:

images = {};

for i = 1:5

filename = sprintf('image_%d.jpg', i); %assuming your image files are named 'image_1.jpg', 'image_2.jpg', etc.

img = imread(filename);

img = imresize(img, [224 224]); %resizing the image to fit VGG16

images{i} = img;

end

Next, load the VGG16 model using the "vgg16" function. copy code :

net = vgg16;

To classify the images using VGG16, you can use the "classify" function.

Example code:

for i = 1:5

label = classify(net, images{i});

fprintf('Image %d is classified as %s\n', i, char(label));

end

This code will classify each image and print out the predicted label.

That's it ! Let me know if you get success

Hi !

thank you so much for the help i will get back to you

Krah Kouadio Here are the methods for importing your picture data into MATLAB, resizing it, and classifying it with VGG16:

1. Import your picture data: To import your images, use MATLAB's "imageDatastore" function. This method constructs an ImageDatastore object, which may be used to read and process pictures.

imds = imageDatastore('path/to/images', 'IncludeSubfolders', true, 'LabelSource', 'foldernames');

2. Resize your images: You can use the "imresize" function in MATLAB to resize your images to the desired size.

imds.ReadFcn = @(filename) imresize(imread(filename), [224 224]);

3. net = vgg16;

4. options = trainingOptions('sgdm', 'InitialLearnRate', 0.001, 'MaxEpochs', 20, 'MiniBatchSize', 32, 'Plots', 'training-progress');

net = trainNetwork(imds, layers, options);

please help me !

matlab code for calculating the wavelength of an object (y) among several objects (x) in an image.