Deep Learning Toolbox Model for ResNet-18 Network
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Actualizado 13 Sep 2023
ResNet-18 is a pretrained model that has been trained on a subset of the ImageNet database. The model is trained on more than a million images, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).
Opening the resnet18.mlpkginstall file from your operating system or from within MATLAB will initiate the installation process for the release you have.
This mlpkginstall file is functional for R2018a and beyond.
Usage Example:
% Access the trained model
net = resnet18();
% See details of the architecture
net.Layers
% Read the image to classify
I = imread('peppers.png');
% Adjust size of the image
sz = net.Layers(1).InputSize
I = I(1:sz(1),1:sz(2),1:sz(3));
% Classify the image using ResNet-18
label = classify(net, I)
% Show the image and the classification results
figure
imshow(I)
text(10,20,char(label),'Color','white')
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS (Apple silicon) macOS (Intel) LinuxCategorías
Etiquetas
Agradecimientos
Inspiración para: Alzheimer’s Disease Detection using 3D ResNet-18 on MRI, Alzheimer’s Disease Detection using multi-modal 3D data, Pre-trained 3D ResNet-18, Alzheimer’s Disease Detection using multi-modal 3D data
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