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