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:
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)