Hello, I’m currently working on a task to do a semantic segmentation on USG image to locate TMJ. I did my image labelling in Image Labeler App and only did one class so that the class region will be 1 and background is 0. I was about to train my model with unetLayers but it says "The value of ‘numClasses’ is invalid. Expected numClasses to be a scalar with value > 1."

I’m aware that someone asked this similar question here with an answer, but I want to ask, how to customize specifically unetLayers to accomodate single class? I see that unetLayers also has softmaxLayers but i can’t find the pixel layers. Thank you in advance!Hello, I’m currently working on a task to do a semantic segmentation on USG image to locate TMJ. I did my image labelling in Image Labeler App and only did one class so that the class region will be 1 and background is 0. I was about to train my model with unetLayers but it says "The value of ‘numClasses’ is invalid. Expected numClasses to be a scalar with value > 1."

I’m aware that someone asked this similar question here with an answer, but I want to ask, how to customize specifically unetLayers to accomodate single class? I see that unetLayers also has softmaxLayers but i can’t find the pixel layers. Thank you in advance! Hello, I’m currently working on a task to do a semantic segmentation on USG image to locate TMJ. I did my image labelling in Image Labeler App and only did one class so that the class region will be 1 and background is 0. I was about to train my model with unetLayers but it says "The value of ‘numClasses’ is invalid. Expected numClasses to be a scalar with value > 1."

I’m aware that someone asked this similar question here with an answer, but I want to ask, how to customize specifically unetLayers to accomodate single class? I see that unetLayers also has softmaxLayers but i can’t find the pixel layers. Thank you in advance! deep learning MATLAB Answers — New Questions

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