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fangchangma / self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
MIT License
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dataset #11

Open jadhu22 opened 5 years ago

jadhu22 commented 5 years ago

from the kiti dataset, how is the data to be distributed in the data folder, with kitti_depth and kitti_rgb as its sub-folders?? I want to test he pre-trained model only. Please tell me what data do I need

fangchangma commented 5 years ago

Hi. Hopefully the data directory structure is clear from the README file (copied and pasted here):

.
├── self-supervised-depth-completion
├── data
|   ├── kitti_depth
|   |   ├── train
|   |   ├── val_selection_cropped
|   └── kitti_rgb
|   |   ├── train
|   |   ├── val_selection_cropped
├── results
gautamjain1009 commented 4 years ago

Hi!, i find your work really interesting. I want to evaluate your architecture with pre-trained weights only. what should be the structure of the data folder in that case.

The thing is kitti_rgb train is so big and i have to transfer all the files via SSH.

fangchangma commented 4 years ago

what should be the structure of the data folder in that case

The data folder structure is illustrated in the README. You can switch to any data loader, as long as the final loaded data format is the same