This is the official code release for our ECCVW 2024 paper
"EMAG: Ego-motion Aware and Generalizable 2D Hand Forecasting from Egocentric Videos".
- OS:
Linux / Ubuntu 20.04
- Python Version:
Python 3.8.10
- CUDA Version:
CUDA 11.7
# Create a virtual environment
python3 -m venv emag
source emag/bin/activate
# Install the dependencies
pip install -r requirements.txt
python3 lit_main.py train=True test=False
To evaluate the model, please run the following command.
python3 lit_main.py train=False test=True
If you use this code for your research, please cite our paper.
@inproceedings{Hatano2024EMAG,
author = {Hatano, Masashi and Hachiuma, Ryo and Saito, Hideo},
title = {EMAG: Ego-motion Aware and Generalizable 2D Hand Forecasting from Egocentric Videos},
booktitle = {European Conference on Computer Vision Workshops (ECCVW)},
year = {2024},
}