stampify 0.1.1

Turn black-and-white artwork into stamp-ready STL models.

stampify

Turn black-and-white artwork into stamp-ready STL models.

Repository: https://github.com/nwcell/stampify

Install

Install from a checkout:

uv tool install .

Run without installing:

uvx --from . ink-stamp sample/xmas-cowboy.jpeg

Standalone CLI

Run it directly from the repo:

uv run ink-stamp sample/xmas-cowboy.jpeg

Install it as a standalone tool:

uv tool install .
ink-stamp sample/xmas-cowboy.jpeg

Sample

The repo includes sample/xmas-cowboy.jpeg as a sample input. Generate the sample stamp with:

uv run ink-stamp sample/xmas-cowboy.jpeg -o xmas-cowboy-stamp.stl

Or compare the two geometry modes against the same sample:

uv run ink-stamp sample/xmas-cowboy.jpeg --mode vector -o xmas-cowboy-vector-stamp.stl
uv run ink-stamp sample/xmas-cowboy.jpeg --mode voxel --resolution 300 -o xmas-cowboy-voxel-stamp.stl

Add To Another Project

Add the package from GitHub:

uv add git+https://github.com/nwcell/stampify

Once you publish to PyPI, the same package can be added with:

uv add stampify

Use it from Python:

from ink_print import StampOptions, write_stamp

options = StampOptions(mode="vector", size=80, border=2, simplify=0.05)
output_path, mesh = write_stamp("sample/xmas-cowboy.jpeg", options=options)
print(output_path, mesh.extents)

Notes

• vector mode is the default and produces smoother, smaller meshes.
• voxel mode is still available as a fallback.
• --resolution 0 keeps the source image resolution.
• --simplify and --min-area are the main cleanup controls for traced artwork.

Release automation

This repo includes:

• .github/workflows/ci.yml for tests and build validation on pushes and pull requests.
• .github/workflows/release.yml for publishing to PyPI from a GitHub Release via Trusted Publishing.

See RELEASING.md for the setup steps you still need to complete in GitHub and PyPI.

License

MIT. See LICENSE.