pip3 install -e ".[example]"
# If you do not need to run the examples:
# pip install -e .
- Generate the robot joint pose trajectory from our pre-recorded video.
export PYTHONPATH=$PYTHONPATH:`pwd`
python3 example/detect_from_video.py \
--robot-name allegro \
--video-path example/data/human_hand_video.mp4 \
--retargeting-type vector \
--hand-type right \
--output-path example/data/allegro_joints.pkl
This command will output the joint trajectory as a pickle file at the output_path
.
The pickle file is a python dictionary with two keys: meta_data
and data
. meta_data
, a dictionary, includes
details about the robot, while data
, a list, contains the robotic joint positions for each frame. For additional
options, refer to the help information. Note that the time cost here includes both the hand pose detection from video,
and the hand pose retargeting in single process mode.
python3 example/detect_from_video.py --help
- Utilize the pickle file to produce a video of the robot
export PYTHONPATH=$PYTHONPATH:`pwd`
python3 example/render_robot_hand.py \
--pickle-path example/data/allegro_joints.pkl \
--output-video-path example/data/retargeted_allegro.mp4 \
--headless
This command uses the data saved from the previous step to create a rendered video.
- Record a video of your own hand
export PYTHONPATH=$PYTHONPATH:`pwd`
python3 example/capture_webcam.py --video-path example/data/my_human_hand_video.mp4
This command will access your webcam (which should be connected to your computer) and record the video stream in mp4
format. To end video recording, press q
on the keyboard.