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Ngawari

Ngawari is a Python-based toolkit for simplifying operations in data analysis and processing, particularly focused on medical imaging and computational geometry. It is built heavily on top of the VTK library.

Features

  • Advanced geometric calculations and transformations
  • Medical imaging data processing
  • Statistical analysis tools
  • 3D visualization capabilities

Installation

To install Ngawari, run the following command:

pip install ngawari

Usage

Here's a quick example of how to use Ngawari:

from ngawari import ftk, fIO, vtkfilters
import numpy as np

# Create a simple sphere
sphere = vtkfilters.buildSphereSource([0, 0, 0], radius=1.0)

# Get points as numpy array
points = vtkfilters.getPtsAsNumpy(sphere)

# Add a scalar array
vtkfilters.setArrayFromNumpy(sphere, points[:, 0], "x_coords", SET_SCALAR=True)

# Apply a filter
smoothed = vtkfilters.smoothTris(sphere, iterations=10)

# Write to file
fIO.writeVTKFile(smoothed, "smoothed_sphere.vtp")

# Build image over sphere:
image = vtkfilters.buildRawImageDataFromPolyData(smoothed, res=[0.1,0.1,0.1])

# Add a scalar array to the image
vtkfilters.setArrayFromNumpy(image, np.random.rand(image.GetNumberOfPoints()), "random_scalar", SET_SCALAR=True)

# Null scalars outside sphere
image_nulled = vtkfilters.filterNullOutsideSurface(image, smoothed)

# Write to file
fIO.writeVTKFile(image_nulled, "image_over_sphere.vti")

For more detailed usage instructions, please refer to the documentation.

Documentation

Full documentation is available at https://fraser29.github.io/ngawari/

Contributing

We welcome contributions! Please see our Contributing Guide for more details.

License

Ngawari is released under the MIT License. See the LICENSE file for more details.

Contact

For any questions or support, please open an issue on our GitHub repository or contact us at support@ngawari.com.

Dependencies

This project uses the following major dependencies:

Release files for ngawari 0.1.21

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