From the layerGraph, replace the imageInputLayer with new imageInputLayer having value 1 in channel dimension. Make use of the function analyzeNetwork to check for any errors and replace the layers accordingly. Then convert all images of the dataset from RGB to Grayscale.
For the network used in the Example: Semantic Segmentation Using Deep Learning, make the following changes:
imageSize = [720 960 3];
lgraph = deeplabv3plusLayers(imageSize, numClasses, "resnet18");
layers = lgraph.Layers
analyzeNetwork(lgraph)
%% Replace layers and create new layerGraph
newlgraph = replaceLayer(lgraph,'data',imageInputLayer([720 960 1],'Name','input'));
newlgraph = replaceLayer(newlgraph,'conv1',convolution2dLayer(7,64,'stride',[2 2],'padding',[3 3 3 3],'Name','conv1'))
analyzeNetwork(newlgraph)
Use the newlgraph for training on grayscale images.
