why yolov3 gave this error "Layer 'upsamsple1Detection2' does not exist"?

I download YOLO v3 from adds on in Mathwork page. However when I try to run the code to desgin the network using squeezenet network on Matlab 2020a it gave me this error "Layer 'upsamsple1Detection2' does not exist.". I attach the layer graph for last three steps.

Any help I will appreciate it.

%% Load the SqueezeNet network pretrained on Imagenet data set.
baseNetwork = squeezenet;
lgraph = squeezenetFeatureExtractor(baseNetwork, networkInputSize);
%% Then specify the class names, the number of object classes to detect, 
% and number of prediction elements per anchor box, and add the detection 
% heads to the feature extraction network
classNames = trainingDataTbl.Properties.VariableNames(2:end);
numClasses = size(classNames, 2);
numPredictorsPerAnchor = 5 + numClasses;
%% add detection heads first and second
lgraph = addFirstDetectionHead(lgraph, anchorBoxMasks{1}, numPredictorsPerAnchor);
lgraph = addSecondDetectionHead(lgraph, anchorBoxMasks{2}, numPredictorsPerAnchor);

%% Finally, connect the detection heads by connecting the first detection
% head to the feature extraction layer and the second detection head 
% to the output of the first detection head.
lgraph = connectLayers(lgraph, 'fire9-concat', 'conv1Detection1');
lgraph = connectLayers(lgraph,'relu1Detection1','upsamsple1Detection2');
lgraph = connectLayers(lgraph,'fire5-concat','depthConcat1Detection22/in2');
analyzeNetwork (lgraph)

Answer 1

[Aneela]

Hi N. White,

The error "Layer 'upsamsple1Detection2' does not exist" you are facing suggests that there is no “upsamsple1Detection2” layer in the network.

• This can be due to an issue with naming of layers in the code.
• Ensure that the layer you're trying to connect exists in the “lgraph” and its name is correctly spelled.

It seems like there might be a typo in the layer name “upsamsple1Detection2.”

The correct name is “upsample1Detection2” according to the layer graph YOLOv3lgraph1.PNG .