Semantic Segmentation Using Deep Learning example error
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There is a problem executing the following code.
There's no problem here
pretrainedURL = 'https://ssd.mathworks.com/supportfiles/vision/data/deeplabv3plusResnet18CamVid.zip';
pretrainedFolder = fullfile(tempdir,'pretrainedNetwork');
pretrainedNetworkZip = fullfile(pretrainedFolder,'deeplabv3plusResnet18CamVid.zip');
if ~exist(pretrainedNetworkZip,'file')
mkdir(pretrainedFolder);
disp('Downloading pretrained network (58 MB)...');
websave(pretrainedNetworkZip,pretrainedURL);
end
unzip(pretrainedNetworkZip, pretrainedFolder)
That's where the problem comes from
pretrainedNetwork = fullfile(pretrainedFolder,'deeplabv3plusResnet18CamVid.mat');
data = load(pretrainedNetwork); % !! The variable 'metrics' stored in semantic Segmentation Metrics cannot be instantiated as an object and is read as unit32
There's an error here too
net = data.net; % The variable 'net' originally stored in the DAG Network cannot be instantiated as an object and is read as unit32.
.....
classes = string(net.Layers(end).Classes) % This type of variable does not support point indexing.
What's wrong with you?
How can we solve it..
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