65 lines
2.3 KiB
Markdown
65 lines
2.3 KiB
Markdown
# 🌊 SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
|
|
|
|
[[Arxiv]]() [[Project Page]]() [[Raw Results]]()
|
|
|
|
This repository is the official implementation of SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
|
|
|
|
|
|
## Getting Started
|
|
|
|
#### SAMURAI Installation
|
|
|
|
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](https://github.com/facebookresearch/sam2?tab=readme-ov-file) 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](https://github.com/facebookresearch/sam2/blob/main/INSTALL.md) from the original SAM 2 repository for FAQs on potential issues and solutions.
|
|
|
|
```
|
|
pip install requirements.txt
|
|
```
|
|
|
|
#### SAM 2.1 Checkpoint Download
|
|
|
|
```
|
|
cd checkpoints && \
|
|
./download_ckpts.sh && \
|
|
cd ..
|
|
```
|
|
|
|
#### Dataset Preparation
|
|
|
|
#### Run SAMURAI
|
|
|
|
<!-- ## Main Results -->
|
|
|
|
## Acknowledgment
|
|
|
|
SAMURAI is built on top of [SAM 2](https://github.com/facebookresearch/sam2?tab=readme-ov-file) by Meta FAIR.
|
|
|
|
The VOT evaluation code is modifed from [VOT Toolkit](https://github.com/votchallenge/toolkit) by Luka Čehovin Zajc.
|
|
|
|
## Citation
|
|
|
|
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}
|
|
}
|
|
|
|
@article{yang2024samurai,
|
|
title={Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory},
|
|
author={Yang, Cheng-Yen and Huang, Hsiang-Wei and Chai, Wenhao and Jiang, Zhongyu and Hwang, Jenq-Neng},
|
|
journal={},
|
|
url={},
|
|
year={2024}
|
|
}
|
|
```
|