Closed Ale0311 closed 3 years ago
Hello,
yes, the right images are only used to increase the training material. In the split defined by [Zhou et al., SfMLearner, CVPR 2017] both left and right images from the KITTI dataset are used for training.
Thank you!
I do have one more question, though. Why doesn't the loader return also the ground truth for depth?
There is no special reason. It is rather that I did not need it during training so far. In principle you could also load the depth ground truth, if you would like to.
Hello!
As a next step, after managing to train the model on the mapillary dataset, I would also like to experiment with different depth datasets. For starters, I only have one question. Why does the kitti_zhou_dataloader make use of the right images? Is it only to have more trainig samples? Because as far as I know, the training process is not stereo, but monocular.
Here is a snipped from the kitti_zhou_train loader:
Thanks again! 😊