TRI-ML / packnet-sfm

TRI-ML Monocular Depth Estimation Repository
https://tri-ml.github.io/packnet-sfm/
MIT License
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About using Ground Truth during the training, testing and Validation Process #61

Closed soheilAppear closed 4 years ago

soheilAppear commented 4 years ago

Are you converting Volodyne depth files ( .npz) files to PNG output as the ground truth in your program and use those ground truth files for the training or validation process? Cause I can see those converted ground truth files can be found in the KITTI_raw files. However, inside the KITTI_tiny dataset that you provided, there is no PNG files as the ground truth. I appreciate if you help me.

Thank you! :)

VitorGuizilini-TRI commented 4 years ago

KITTI has two different depth types: velodyne (raw LiDAR scans, saved as .npz) and groundtruth (accumulated and cleaned saved as .png). Since KITTI_raw is only for testing and overfitting purposes, we only provide velodyne depth maps, but they have the same role and just happen to be stored in different ways.