As a first step, we will need to implement a data loader for the SuperTuxKart dataset. Complete the $\_\_$init$\_\_,\_\_$len$\_\_,$ and the $\_\_$getitem$\_\_$ of the SuperTuxDataset class in the utils.py$.$

The $\_\_$len$\_\_$ function should return the size of the dataset.

The $\_\_$getitem$\_\_$ function should return a tuple of image, label. The image should be a torch.Tensor of size $(3,64,64)$ with range $[0,1],$ and the label should be int.

Labels and the corresponding image paths are saved in labels.csv$,$ their headers are file and label. There are $6$ classes of objects. Make sure label background corresponds to $0,$ kart is $1,$ pickup is $2,$ nitro is $3,$ bomb is $4$ and projectile $5.$