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Language Segment-Anything

Language Segment-Anything is an open-source project that combines the power of instance segmentation and text prompts to generate masks for specific objects in images. Built on the recently released Meta model, Segment Anything Model 2, and the GroundingDINO detection model, it's an easy-to-use and effective tool for object detection and image segmentation.

person.png

Features

Getting Started

Prerequisites

Installation

Installing PyTorch Dependencies

Before installing lang-sam, please install PyTorch using the following command:


pip install torch==2.4.1 torchvision==0.19.1 --extra-index-url https://download.pytorch.org/whl/cu124


pip install -U git+https://github.com/luca-medeiros/lang-segment-anything.git

Or Clone the repository and install the required packages:


git clone https://github.com/luca-medeiros/lang-segment-anything && cd lang-segment-anything
pip install -e .

Docker Installation

Build and run the image.


git clone https://github.com/luca-medeiros/lang-segment-anything && cd lang-segment-anything
docker build --tag lang-segment-anything:latest .
docker run --gpus all -p 8000:8000 lang-segment-anything:latest

Usage

To run the gradio APP:

python app.py And open http://0.0.0.0:8000/gradio

Use as a library:

from PIL import Image
from lang_sam import LangSAM

model = LangSAM()
image_pil = Image.open("./assets/car.jpeg").convert("RGB")
text_prompt = "wheel."
results = model.predict([image_pil], [text_prompt])

Examples

car.png

fruits.png

Acknowledgments

This project is based on/used the following repositories:

License

This project is licensed under the Apache 2.0 License