create a semantic segmentation algorithm using net = resnet101 with imdstest = imagedatastore() and pxdstest = pixellabeldatastore() in matlab

main.m
%% Load the data
imdsTest = imageDatastore('path-to-test-images');
pxdsTruth = pixelLabelDatastore('path-to-test-labels');

%% Load the pre-trained network
net = resnet101;

%% Create a semantic segmentation network with the pretrained network as the encoder network
numClasses = numel(categories(pxdsTruth.Labels));
lgraph = deeplabv3plusLayers(size(imdsTest.ReadImage(1)),net,numClasses,'DownsampleFactor',8);

%% Evaluate the model
pxdsResults = semanticseg(imdsTest,lgraph, ...
    'MiniBatchSize',4, ...
    'WriteLocation',tempdir, ...
    'Verbose',false);
metrics = evaluateSemanticSegmentation(pxdsResults,pxdsTruth,'Verbose',false);

%% Display the evaluation metrics
metrics.ClassMetrics
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