🖼️ i2g — Image to Graph Converter

Convert grayscale images into graph structures using NetworkX.
Each pixel becomes a node, connected to its neighbors (4- or 8-connectivity), with pixel intensity stored as a feature.

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🚀 Features

• ✅ Convert any grayscale image into a networkx graph.
• ✅ Choose 4- or 8-neighborhood connectivity.
• ✅ Each node stores:
  • intensity: pixel grayscale value (0-255)
  • pos: (x, y) coordinate for plotting.
• ✅ Easily query the graph’s shape, number of nodes, and edges.

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🛠️ Installation

Clone this repository and install in editable mode:

git clone https://github.com/DIM-Corp/i2g.git
cd i2g
pip install -e .

Requires: numpy, pillow, networkx.

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✍️ Example usage

from i2g import ImageGraphConverter

# Create a converter for your image
converter = ImageGraphConverter("my_image.png", connectivity='8')

# Convert the image to a graph
graph, img_array = converter.convert()

# Query information
shape = converter.shape()  # returns (height, width)
num_nodes, num_edges = converter.info()

print(f"Image shape: {shape}")
print(f"Graph has {num_nodes} nodes and {num_edges} edges.")

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🚀 Running tests

This project uses pytest.

Run the tests with:

pytest

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📄 License

This project is licensed under the MIT License.
See the LICENSE file for details.

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💪 Contributing

Pull requests are welcome!
For major changes, please open an issue first to discuss what you’d like to change.

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⭐ Acknowledgements

• Built on top of amazing libraries: NetworkX, Pillow, NumPy

⭐ Contacts

info@dimcorp237.com mdieffi@gmail.com