Kattlover99/sam-segment

About Streamlit based implementation for the The Segment Anything Model (SAM) developed by Meta AI research

✨ Segment Anything 🚀 - Streamlit WebApp

Streamlit based implementation for the The developed by .

Installation:

• Simply run the command pip install -r requirements.txt to install the dependencies.

Usage:

1. Clone this repository and install the dependencies as mentioned above.
2. Create a model directory and save the model checkpoints which can be downloaded from here.
3. Simply run the command:

streamlit run app.py

4. Navigate to http://localhost:8501 in your web-browser.
5. By default, streamlit allows us to upload files of max. 200MB. If you want to have more size for uploading images, execute the command :

streamlit run app.py --server.maxUploadSize=1028

UI	Results

Running the Dockerized App

1. Ensure you have Docker Installed and Setup in your OS (Windows/Mac/Linux). For detailed Instructions, please refer this.
2. Navigate to the folder where you have cloned this repository ( where the Dockerfile is present ).
3. Build the Docker Image (don't forget the dot!! 😄 ):

docker build -f Dockerfile -t app:latest .

4. Run the docker:

docker run -p 8501:8501 app:latest

This will launch the dockerized app. Navigate to http://localhost:8501/ in your browser to have a look at your application. You can check the status of your all available running dockers by:

docker 

Citation

@article{kirillov2023segany,
  title={Segment Anything}, 
  author={Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C. and Lo, Wan-Yen and Doll{\'a}r, Piotr and Girshick, Ross},
  journal={arXiv:2304.02643},
  year={2023}
}