Comments (2)
What is the channel dimension of your segmentation classifier (aka num_classes[0]
in config) ? And what is the largest label in your segmentation masks? When computing the segmentation cross-entropy loss, the largest label must be lower than the channel dimension of the classifier, otherwise you will see that error (more info here in pytorch docs).
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Thank you for your response,
converting segmented ground truth into class ids solved it
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