osm-to-3dprint

Export OpenStreetMap (OSM) tiles, convert them to STL format, and import them directly into your 3D slicing software.

• building height data may be missing in certain cities, so check for other height attributes in the osm data

    height_attrs = ['height', 'building:height', 'building:levels']

• Support the project by buying a 3D print from Plan3DPrint.com!

Benefits

• free for commercial usage (MIT License)
• Larger Area Exports: Unlike Cadmapper, which limits free exports to 1 square kilometer, osm-to-3dprint allows you to export much larger areas without any cost.
• Optimized for 3D Printing: The exported STL files are designed to have no non-manifold edges, which ensures that the model is ready for 3D printing without the need for repairs.
• Small File Size: Despite covering extensive areas, the exported STL files are compact in size. For example, the entire downtown area of San Francisco (buildings.stl) is around ~17.5 MB (around 8.86 square kilometers).
• Relatively Fast - less than one minute to run main.py and get a city file for any given city.

Features

• Customizable Parameters: Easily adjust parameters such as target size, maximum building height, and base thickness to suit your specific needs.
• Ready for Slicing: The generated STL files are optimized for 3D printing, ensuring minimal preparation time and reducing potential errors.

Installation

python3 -m pip install -r requirements.txt

This project relies on several libraries, including OSM, overpass-api, osmnx, shapely, trimesh, and numpy-stl.

Sample Usage

Adjust the GPS coordinates to define the bounding box of the area you wish to export:

# Example bounding box: min_lat, min_lon, max_lat, max_lon
bbox = (37.8049, 37.7749, -122.3894, -122.4194)  # San Francisco example
bbox = (33.7756, 33.7405, -84.3790, -84.4156)  # Approximate bounding box for downtown Atlanta
bbox = (40.9176, 40.7003, -73.9067, -74.0122)  # Approximate bounding box for Manhattan, New York

You can also modify parameters like target_size, max_height, and base_thickness to customize the export.

Run the script: python3 main.py

Future Improvements

• Additional Details: We're planning to include streets and other detailed features in future versions.
• Performance Enhancements: We aim to optimize the slicing software time, as it currently takes longer than expected for larger models.

Example Output

Here's a sample of San Francisco visualized in Bambu Studio:

Here's a sample of Atlanta in Bambu Studio:

Here's a sample of Manhatten, New York:

Acknowledgments

Special thanks to ChatGPT by OpenAI for assisting in the development of the codebase.