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This repository is the official implementation of SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
samurai_demo.mp4
SAM 2 needs to be installed first before use. The code requires python>=3.10, as well as torch>=2.3.1 and torchvision>=0.18.1. Please follow the instructions here to install both PyTorch and TorchVision dependencies. You can install the SAMURAI version of SAM 2 on a GPU machine using:
cd sam2
pip install -e .
pip install -e ".[notebooks]"
Please see INSTALL.md from the original SAM 2 repository for FAQs on potential issues and solutions.
pip install matplotlib==3.7 tikzplotlib jpeg4py opencv-python lmdb pandas scipy
cd checkpoints && \
./download_ckpts.sh && \
cd ..
Please prepare the data in the following format:
data/LaSOT
├── airplane/
│ ├── airplane-1/
│ │ ├── full_occlusion.txt
│ │ ├── groundtruth.txt
│ │ ├── img
│ │ ├── nlp.txt
│ │ └── out_of_view.txt
│ ├── airplane-2/
│ ├── airplane-3/
│ ├── ...
├── basketball
├── bear
├── bicycle
...
├── training_set.txt
└── testing_set.txt
python scripts/main_inference.py
To run the demo with your custom video or frame directory, use the following examples:
Note: The .txt file contains a single line with the bounding box of the first frame in xywh format.
python scripts/demo.py --video_path <your_video.mp4> --txt_path <path_to_first_frame_bbox.txt>
python scripts/demo.py --video_path <your_frame_directory> --txt_path <path_to_first_frame_bbox.txt>
SAMURAI is built on top of SAM 2 by Meta FAIR.
The VOT evaluation code is modifed from VOT Toolkit by Luka Čehovin Zajc.
Please consider citing our paper and the wonderful SAM 2 if you found our work interesting and useful.
@article{ravi2024sam2,
title={SAM 2: Segment Anything in Images and Videos},
author={Ravi, Nikhila and Gabeur, Valentin and Hu, Yuan-Ting and Hu, Ronghang and Ryali, Chaitanya and Ma, Tengyu and Khedr, Haitham and R{\"a}dle, Roman and Rolland, Chloe and Gustafson, Laura and Mintun, Eric and Pan, Junting and Alwala, Kalyan Vasudev and Carion, Nicolas and Wu, Chao-Yuan and Girshick, Ross and Doll{\'a}r, Piotr and Feichtenhofer, Christoph},
journal={arXiv preprint arXiv:2408.00714},
url={https://arxiv.org/abs/2408.00714},
year={2024}
}
@misc{yang2024samurai,
title={SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory},
author={Cheng-Yen Yang and Hsiang-Wei Huang and Wenhao Chai and Zhongyu Jiang and Jenq-Neng Hwang},
year={2024},
eprint={2411.11922},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2411.11922},
}