https://github.com/ZJULearning/resa I have used above GitHub repo, for lane detection, it contains already pretrained model for lane Detection on CULane dataset. I wanted to use this pretrained model and test it on other data, but I am not sure, how to approach.
On loading data model = torch.load('culane_resnet50.pth', map_location=torch.device('cpu'))
it is loaded succesfully.
but on using model.eval()
it is showing an error " 'dict' object has no attribute 'eval' "
On printing model print(model)
the output is something like this
I want to know what the model represents, Also is it possible to use this pretrained model to make prediction on new data sets and if yes, how?