The code is tested with Ubuntu18.04 and CUDA10.2.
pip install -r requirements.txt
Before pre-training the VT, you could download the dataset here.
python main_pretraining.py --gpu-ids 0 --workers 4 --model PreTrainedVisualTransformer --detr --title a3c --work-dir ./work_dirs/
The training dataset could be downloaded here and the link of DETR features is here.
python main.py --gpu-ids 0 --workers 4 --model VTNetModel --detr --title a3c_vtnet --work-dir ./work_dirs/python full_eval.py --gpu-ids 0 --detr --save-model-dir {SAVE_MODEL_DIR} --results-json ./result.json --model VTNetModel --title a3c_previstrans_baseIf you find our work useful in your research, please consider citing:
@inproceedings{
du2021vtnet,
title={{\{}VTN{\}}et: Visual Transformer Network for Object Goal Navigation},
author={Heming Du and Xin Yu and Liang Zheng},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=DILxQP08O3B}
}
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