Question
Is there a way to use any pretrain network (not necessarily Resnet) to segment multispectral images in MATLAB? deeplabv3plusLayers only allows [height width 3] or [height width] input images. While I tried bypassing the error deeplabv3plusLayers returns, when I used trainNetwork I get an error referring to the wrong input data 224x224xN. Can the first convolutional layer of the pretrained network be replaced to process more than 3 channels?
Expert Answer
Prashant Kumar
PhD Expert
Answered Nov 20, 2025
You can copy the layerGraph of the pretrained network and change the imageInputLayer, the first convolutionLayer to match the input image channel dimension & convolution filter dimensions. Then you can freeze/unfreeze the existing pretrained weights during training the new network accordingly.
You can do something like below:(N=50)
imageSize = [224 224 3]; % Specify the number of classes. numClasses = 10; N = 50; % Create DeepLab v3+. lgraph = deeplabv3plusLayers(imageSize, numClasses, "resnet50"); analyzeNetwork(lgraph) layers = lgraph.Layers %% newlgraph = replaceLayer(lgraph,'input_1',imageInputLayer([224 224 N],'Name','input')); newlgraph = replaceLayer(newlgraph,'conv1',convolution2dLayer(7,64,'stride',[2 2],'padding',[3 3 3 3],'Name','conv1')) analyzeNetwork(newlgraph)
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