Training AFLW

natanielruiz

2017-09-15 8e5d7dbfe49d194b7d0b616307663e9a88fbcd88

 code/test.py

@@ -110,9 +110,9 @@
        label_roll = labels[:,2].float()

        pre_yaw, pre_pitch, pre_roll, angles = model(images)
        yaw = angles[args.iter_ref-1][:,0].cpu().data
        pitch = angles[args.iter_ref-1][:,1].cpu().data
        roll = angles[args.iter_ref-1][:,2].cpu().data
        yaw = angles[-1][:,0].cpu().data
        pitch = angles[-1][:,1].cpu().data
        roll = angles[-1][:,2].cpu().data

        # Mean absolute error
        yaw_error += torch.sum(torch.abs(yaw - label_yaw) * 3)