openhsi 0.1.0

Library to calibrate, trigger and capture data cubes for the open source hyperspectral camera.

Open Source DIY Hyperspectral Imager Library

Library to calibrate, trigger and capture data cubes for the open source DIY hyperspectral camera.

This Python library is licensed under the Apache v2 License. The documentation is licensed under a Creative Commons Attribution 3.0 Australia License.

Documentation can be found here: https://openhsi.github.io/openhsi/.

Install

pip install openhsi

Requirements

• Python 3.6+
• Ximea SDK (See https://www.ximea.com/support/wiki/apis/Python)

Development and Contributions

This whole software library, testing suite, documentation website, and PyPI package was developed in Jupyter Notebooks using nbdev. {% include important.html content='This library is under active development and new features are still being added. ' %}

How to use

Taking a single hyperspectral datacube

The example shown here uses a simulated camera for testing purposes. Replace SimulatedCamera with the appropriate Python class for your own camera to work with real hardware.

from openhsi.capture import *

with SimulatedCamera(img_path="assets/rocky_beach.png", n_lines=1024, processing_lvl = 3) as cam:
    cam.collect()
    fig = cam.show(plot_lib="matplotlib",robust=True)

100%|██████████| 1024/1024 [00:18<00:00, 55.21it/s]













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