Version:

  • 0.0.5

Release date:

  • 02 November 2021

First released:

  • 06 October 2021

License:

  • BSD-3-Clause

GitHub activity:

  • Stars: 0
  • Forks: 0
  • Issues + PRs: 0

Python versions supported:

  • >=3.7

Operating system:

  • OS Independent

Requirements:

  • napari-plugin-engine (>=0.1.4)
  • numpy
  • scikit-image
  • numpy-stl

napari-stl-exporter

Exports label images to 3D-printable stl files.

Authors:

  • Johannes Müller

Learn more:

Authors:

  • Johannes Müller

Learn more:

License PyPI Python Version tests codecov

This plugin allows to convert 3D label images to 3D-printable .stl files using the marching cubes algorithm implemented in scikit-image. The generated stl-files can then be read by common 3D-printing slicer programs (see below).

input_output

Usage

The napari-stl-exporter requires labeled, 3D input data. To segment your 3D image and create 3D label images out of it, see this list of napari's image segmentation plugins. The 3D label image can then be converted to a 3D-printable .stl file by specifying the ".stl"-file extension uppon image export in napari using the menu File > Save selected layer(s)....

Preparing label data

  • Interactively: After loading a binary image (example data), e.g. by drag and drop the file onto the napari viewer, it might be neccessary to convert it to a labels layer using the right-click menu on the layer in the layer list and selecting Convert to Labels:

import napari
from skimage import io

# Load and binarize image
data = io.imread('/Path/to/input/data')
data[data != 0] = 1

# Add data to viewer
viewer = napari.Viewer()
label_layer = viewer.add_labels(data, name='3D object')

# save the layer as 3D printable file to disc
napari.save_layers(r'/some/path/test.stl', [label_layer])

3D-printing

To actually send your object to a 3D-printer, it has to be further converted to the .gcode format with a Slicer program. The latter convert the 3D object to machine-relevant parameters (printing detail, motor trajectories, etc). Popular slicers are:

You can also upload the STL file to github.com and interact with it in the browser:


This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.

Installation

You can install napari-stl-exporter via pip:

pip install napari-stl-exporter

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the BSD-3 license, "napari-stl-exporter" is free and open source software

Issues

If you encounter any problems, please [file an issue] along with a detailed description or post to image.sc and tag El_Pollo_Diablo

Version:

  • 0.0.5

Release date:

  • 02 November 2021

First released:

  • 06 October 2021

License:

  • BSD-3-Clause

GitHub activity:

  • Stars: 0
  • Forks: 0
  • Issues + PRs: 0

Python versions supported:

  • >=3.7

Operating system:

  • OS Independent

Requirements:

  • napari-plugin-engine (>=0.1.4)
  • numpy
  • scikit-image
  • numpy-stl

Version:

  • 0.0.5

Release date:

  • 02 November 2021

First released:

  • 06 October 2021

License:

  • BSD-3-Clause

GitHub activity:

  • Stars: 0
  • Forks: 0
  • Issues + PRs: 0

Python versions supported:

  • >=3.7

Operating system:

  • OS Independent

Requirements:

  • napari-plugin-engine (>=0.1.4)
  • numpy
  • scikit-image
  • numpy-stl

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