How does the architecture of deeplabv3_resnet50 look like?
I am using this command to get the model:
model = torchvision.models.segmentation.deeplabv3_resnet50 (pretrained=False , progress=True , num_classes=21 , aux_loss=None , **kwargs )
I can then get some impression of how the model looks like just by printing model, but this doesn’t give me a good intuitive way of visualizing the model.