Visualization

March 18, 2024 · View on GitHub

RGB visualization

  1. Follow the installation instruction

  2. Render annotations to all frames and save them to a video:

    root_folder=/path/to/sequence_folder
    python ./visualization/render_scene.py $root_folder
    
    • Optional parameters:
        --index         # render one frame only
        --draw_smpl 	# render SMPL
        --draw_coco17 	# render COCO17 elements
        --draw_human_pc # render human point cloud
        --draw_scene_pc # render scene point cloud
    

SMPL visualization

License

The SLOPER4D codebase is published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License. You must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license. Contact us if you are interested in commercial usage.