The tusimple evaluation takes as input h samples and lane points with the size of 720 x 1280 however if we train a network on smaller size then there are two ways to go about it.
a) resize the network output image to 720 x 1280.
b) resize the points to smaller size and generate y samples/lane points pair.
Hi,
The tusimple evaluation takes as input h samples and lane points with the size of 720 x 1280 however if we train a network on smaller size then there are two ways to go about it.
a) resize the network output image to 720 x 1280.
b) resize the points to smaller size and generate y samples/lane points pair.
Which one do you think is best ?