| # Kinder-worldmodel Dataset | |
| This repository contains the processed HDF5 dataset and demo videos for the Kinder-worldmodel project. | |
| ## Files | |
| - `sweep_tracked_pointcloud_all.hdf5` | |
| The processed HDF5 file containing complete point cloud data and point tracking information. | |
| - `videos/complete_pointcloud_demo.mp4` | |
| Demo video showing the complete point cloud visualization. | |
| - `videos/pointcloud_tracking_demo.mp4` | |
| Demo video showing point tracking across frames. | |
| ## Dataset Description | |
| The HDF5 file stores point cloud data generated from the processing pipeline. | |
| It is intended for inspecting complete point clouds and demonstrating point tracking results. | |
| ## How to Download | |
| You can download the dataset directly from this Hugging Face repository. | |
| You can also download it using Python: | |
| ```python | |
| from huggingface_hub import hf_hub_download | |
| file_path = hf_hub_download( | |
| repo_id="Flashkernel/Kinder-worldmodel", | |
| filename="sweep_tracked_pointcloud_all.hdf5", | |
| repo_type="dataset" | |
| ) | |
| print(file_path) | |