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Pretrained networks in matlab for extraction of deep features from images

Asked by Sparkle89 on 15 May 2019
Latest activity Answered by Shounak Mitra on 17 May 2019
I have found the Pretrained networks list in matlab documentation. I want to use a pretrained network for binary classification. The input is a 32x32 image patch.
In the documentation the minimum input size found is 224x224. How can I use my 32x32 image patch in this? Which is the good pretrained network for binary classification. I just started learning deep learning. Please help me with this.

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1 Answer

Answer by Shounak Mitra on 17 May 2019
 Accepted Answer

Try using imresize() to scale your image to fit the network dimensions.
Usage Example:
% Access the trained model
net = alexnet
% 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 AlexNet
label = classify(net, I)
% Show the image and the classification results
figure
imshow(I)
text(10,20,char(label),'Color','white')

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