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 # 🌊 SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
 
-[[Arxiv]]()[[Raw Results]]()
+[[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
 
-## Code & Installation 
 
-## Main Results
+## 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
 
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