| # Language Segment-Anything |
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| 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. |
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| ## Features |
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| - Zero-shot text-to-bbox approach for object detection. |
| - GroundingDINO detection model integration. |
| - SAM 2.1 |
| - Batch inference support. |
| - Easy endpoint deployment using the Lightning AI litserve platform. |
| - Customizable text prompts for precise object segmentation. |
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| ## Getting Started |
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| ### Prerequisites |
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| - Python 3.10 or higher |
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| ### Installation |
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| #### Installing PyTorch Dependencies |
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| Before installing `lang-sam`, please install PyTorch using the following command: |
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| ```bash |
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| pip install torch==2.4.1 torchvision==0.19.1 --extra-index-url https://download.pytorch.org/whl/cu124 |
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| ``` |
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| ```bash |
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| pip install -U git+https://github.com/luca-medeiros/lang-segment-anything.git |
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| ``` |
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| Or |
| Clone the repository and install the required packages: |
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| ```bash |
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| git clone https://github.com/luca-medeiros/lang-segment-anything && cd lang-segment-anything |
| pip install -e . |
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| ``` |
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| #### Docker Installation |
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| Build and run the image. |
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| ```bash |
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| 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 |
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| ``` |
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| ### Usage |
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| To run the gradio APP: |
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| `python app.py` |
| And open `http://0.0.0.0:8000/gradio` |
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| Use as a library: |
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| ```python |
| from PIL import Image |
| from lang_sam import LangSAM |
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| model = LangSAM() |
| image_pil = Image.open("./assets/car.jpeg").convert("RGB") |
| text_prompt = "wheel." |
| results = model.predict([image_pil], [text_prompt]) |
| ``` |
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| If desired, arguments below can be passed for offline operations: |
| ```python |
| LangSAM(sam_ckpt_path, # path for segment anything model |
| gdino_model_ckpt_path, # path for grounding dino's model checkpoint |
| gdino_processor_ckpt_path # path for grounding dino's processor checkpoint |
| ) |
| ``` |
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| ## Examples |
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| ## Acknowledgments |
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| This project is based on/used the following repositories: |
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| - [GroundingDINO](https://github.com/IDEA-Research/GroundingDINO) |
| - [Segment-Anything](https://github.com/facebookresearch/segment-anything-2) |
| - [LitServe](https://github.com/Lightning-AI/LitServe/) |
| - [Supervision](https://github.com/roboflow/supervision) |
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| ## License |
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| This project is licensed under the Apache 2.0 License |
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