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.
% Access the trained model
net = resnet18();
% See details of the architecture
% 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
resnet18() wasn't included in Deep Learning Toolbox
I can not seem to get this downloaded - let alone running as per the various tutorials.
I get this error:
Error using resnet18 (line 51)
resnet18 requires the Deep Learning Toolbox Model for ResNet-18 Network support package. To install
this support package, use the Add-On Explorer.
Can be generated the CUDA-code via GPU coder from resnet18? I got a error: 'Code generation for
ResNet18PreprocessingLayer preprocessing is not supported.'
i want to pretrained Densnet 201 to classify image how i can build code