Jetson Nano (road following > train_model > regression output features)

I’ve qeustion about regression output features number.
Regression It is mentioned that out_features is 1.
but, code is
model.fc = torch.nn.Linear(512, 2)

Why second parameter value is 2 not 1?

Your answer will be helpful.

Hi,

The description is for the basic ResNet model.
But roading following tutorial transfer learns the model into output with dimension=2.

It is used to represent the x and y values.

xy = model(preprocess(image)).detach().float().cpu().numpy().flatten()
x = xy[0]
y = (0.5 - xy[1]) / 2.0

Thanks.

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