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Update readme
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chcorbi committed Dec 12, 2024
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8 changes: 3 additions & 5 deletions README.md
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```
helvipad/
├── train/
│ ├── camera_videos # Raw video footage
│ ├── depth_maps # Depth maps generated from LiDAR data
│ ├── depth_maps_augmented # Augmented depth maps using depth completion
│ ├── disparity_maps # Disparity maps computed from depth maps
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│ ├── images_bottom # Bottom-camera RGB images
│ ├── LiDAR_pcd # Original LiDAR point cloud data
├── test/
│ ├── camera_videos # Raw video footage
│ ├── depth_maps # Depth maps generated from LiDAR data
│ ├── disparity_maps # Disparity maps computed from depth maps
│ ├── images_top # Top-camera RGB images
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## Acknowledgments

This project was developed at the [Visual Intelligence for Transportation Laboratory (VITA)](https://www.epfl.ch/labs/vita/) at EPFL.
We thank all VITA lab members for their insightful feedback and help in improving the quality of this manuscript.
We also express our gratitude to Dr. Simone Schaub-Meyer and Oliver Hahn for their advice towards the end of the project.
This work was supported by the [EPFL Center for Imaging](https://imaging.epfl.ch/) through a Collaborative Imaging Grant.
We thank the VITA lab members for their valuable feedback, which helped to enhance the quality of this manuscript.
We also express our gratitude to Dr. Simone Schaub-Meyer and Oliver Hahn for their insightful advice during the project's final stages.
2 changes: 0 additions & 2 deletions index.html
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<pre style="background: #f5f5f5; padding: 20px; border-radius: 5px; overflow: auto;">
<code>helvipad/
├── train/
│ ├── camera_videos # Raw video footage
│ ├── depth_maps # Depth maps generated from LiDAR data
│ ├── depth_maps_augmented # Augmented depth maps using depth completion
│ ├── disparity_maps # Disparity maps computed from depth maps
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│ ├── images_bottom # Bottom-camera RGB images
│ ├── LiDAR_pcd # Original LiDAR point cloud data
├── test/
│ ├── camera_videos # Raw video footage
│ ├── depth_maps # Depth maps generated from LiDAR data
│ ├── disparity_maps # Disparity maps computed from depth maps
│ ├── images_top # Top-camera RGB images
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