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BEHAVE

Repo for BEHAVE: Dataset and Method for Tracking Human Object Interactions, CVPR'22

Link to paper: https://arxiv.org/pdf/2204.06950.pdf

Prerequisites

Prepare data

Download pre-trained models

Coming soon.

Test BEHAVE model

python train.py -mode val -exp_id 01 -ext 01 -suffix 01 -save_name val -split_file assets/data_split_01.pkl -batch_size 12

Train BEHAVE model

python train.py -exp_id 01 -ext 01 -suffix 01 -split_file assets/data_split_01.pkl -batch_size 32 -epochs 150

Cite us:

If you use this code please cite: </br>

@inproceedings{bhatnagar22behave,
    title = {BEHAVE: Dataset and Method for Tracking Human Object Interactions},
    author = {Bhatnagar, Bharat Lal and  Xie, Xianghui and Petrov, Ilya and Sminchisescu, Cristian and Theobalt, Christian and Pons-Moll, Gerard},
    booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2022},
}

LICENCE

Copyright (c) 2020 Bharat Lal Bhatnagar, Max-Planck-Gesellschaft

Please read carefully the following terms and conditions and any accompanying documentation before you download and/or use this software and associated documentation files (the "Software").

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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. You agree to cite the "BEHAVE: Dataset and Method for Tracking Human Object Interactions" paper in documents and papers that report on research using this Software.