Neuromorphic high-frequency 3D dancing pose estimation in dynamic environment
- This repository is the official implementation of paper Neuromorphic high-frequency 3D dancing pose estimation in dynamic environment in Neurocomputing, 547, 2023.
- Here is the introduction video of the project and datasets we collected/generated.
- The dataset is released here on UCSD DataPlanet Website.
It is built with pytorch-lightning and miracleyoo's pl template, with the basic toolsets borrowed from lifting_events_to_3d_hpe.
Default Training Command Used: python main.py --data_dir=<DATA_DIR> --use_mask='unet' --mask_net_path=<MASK_NET_PATH.ckpt> --batch_size=16 --gpus=8 --partial_dataset=0.3