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Metasam A Python package for Inference SAM

Project description

MetaSAM 🎭

Segment Anything Model (SAM) Inference Made Easy! 🚀

What is MetaSAM? 🤔

MetaSAM is a Python package that simplifies the process of running inference with the Segment Anything Model (SAM). It's designed to make image segmentation tasks a breeze! 🌟

Features 🌈

  • 🖼️ Easy image loading and preprocessing
  • 🧠 Simplified SAM model inference
  • 🎨 Visualize segmentation results
  • 🔧 Customizable segmentation parameters
  • 🚀 CUDA-accelerated for lightning-fast performance

Installation 📦

pip install metasam

Quick Start 🏃‍♂️

from metasam import SAM2Wrapper

# Initialize SAM2Wrapper
sam = SAM2Wrapper("path/to/checkpoint", "path/to/config")

# Load an image
sam.set_image("path/to/your/image.jpg")

# Predict segmentation
masks, scores, logits = sam.predict(point_coords=[[500, 640]], point_labels=[1])

# Visualize results
sam.show_masks(masks, scores)

Project details


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