This repo is an example of how to visualize the dataset.
Download sample data from here
*_full.tar
contains full data.
*_no_depth_low_res.tar
contains the data for the no-depth version of the dataset, including low-resolution RGB images, which occupy less storage space.
Extract data:
tar -xvf DATA_NAME.tar
If you want more data with more detailed annotations OR better softwares, please fill the form here to join the waiting list. Alternatively, you can also contact us via [email protected].
- Ubuntu >=20.04
- python3
- pip3
- opencv-python
- pybullet (for mocap visualization)
sudo apt install python3-pip
pip3 install opencv-python
run the following command
python3 load_and_visualize.py YOUR_DATA_PATH
# e.g. python3 load_and_visualize.py ~/IO-DATA-EXAMPLE/20240505_kitchen/
If you want to visualize the mocap data,
- you need install pybullet
pip3 install pybullet
- run the following command
python3 load_and_visualize.py YOUR_DATA_PATH --visualize_mocap
All software is licensed under the MIT License.
All other materials are offered under a CC BY-NC-SA 4.0 license. You are free to use, copy, and redistribute the material for non-commercial purposes provided you give appropriate credit, provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. You may not use the material for commercial purposes.