Spectral Python Git
A python module for hyperspectral image processing
Status: Beta
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Tree [e0c4f5] master / History
| File | Date | Author | Commit |
|---|---|---|---|
| spectral | 2020-08-01 |
Thomas Boggs
|
[e0c4f5] Increase version to 0.22 |
| .gitignore | 2020-06-18 |
kormang
|
[c0c9b8] Add support for USGS spectral library (#109) |
| .travis.yml | 2019-09-22 |
Thomas Boggs
|
[cc2587] Use python version-specific build distros |
| LICENSE.txt | 2020-04-19 |
Thomas Boggs
|
[0e6370] Change license to MIT |
| MANIFEST.in | 2013-09-07 |
Thomas Boggs
|
[ca899b] Updated version to 0.12. |
| README.rst | 2019-10-14 |
Lewis John McGibbney
|
[286e51] ISSUE-93 Add badges for conda downloads (#94) |
| VERSIONS.txt | 2020-08-01 |
Thomas Boggs
|
[e0c4f5] Increase version to 0.22 |
| setup.py | 2020-06-18 |
kormang
|
[c0c9b8] Add support for USGS spectral library (#109) |
Read Me
Spectral Python (SPy)
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Spectral Python (SPy) is a pure Python module for processing hyperspectral image data (imaging spectroscopy data). It has functions for reading, displaying, manipulating, and classifying hyperspectral imagery. Full details about the package are on the web site.
Installation Instructions
The latest release is always hosted on PyPI, so if you have pip installed, you can install SPy from the command line with
pip install spectral
Packaged distributions are also hosted at PyPI and GitHub so you can download and unpack the latest zip/tarball, then type
python setup.py install
To install the latest development version, download or clone the git repository and install as above. No explicit installation is required so you can simply access (or symlink) the spectral module within the source tree.
Finally, up-to-date guidance on how to install via the popular conda package and environment management system can be found at official conda-forge documentation.
Unit Tests
To run the suite of unit tests, you must have numpy installed and you must have the sample data files downloaded to the current directory (or one specified by the SPECTRAL_DATA environment variable). To run the unit tests, type
python -m spectral.tests.run
Dependencies
Using SPy interactively with its visualization capabilities requires IPython and several other packages (depending on the features used). See the web site for details.
