This is a PyTorch(0.4.1) implementation of Deep Ordinal Regression Network for Monocular Depth Estimation. At present, we can provide train script in NYU Depth V2 dataset. KITTI will be available soon!
Note: we modify the ordinal layer using matrix operation, making trianing faster.
- DORN model in nyu and kitti
- Training DORN on nyu and kitti datasets
- Results evaluation on nyu test set
- Calculate alpha and beta in nyu dataset
- Realize the ordinal loss in paper