hypmix
Hyperspectral Unmixing Library for Python
Installation
pip install hypmix
Usage
import hypmix
em_list = []
for data, wvl in zip(spectrum_list, wvl_list):
spec=hypmix.Spectrum(data, wvl)
em_list.append(hypmix.EndMember("endmember1", spec))
model = hypmix.MixtureModel(em_list, data_cube)
model.add_virtual_shade()
res = model.run("save/path/results.hdf5", "model_name")
hypmix.save_model_result(res)
MixView GUI
1 maintainer
Metadata
1 maintainer
Release files for hypmix 0.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hypmix-0.2.4.tar.gz | 331.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hypmix-0.2.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 667.6 kB
Release files / hypmix-0.2.4.tar.gz
| Download URL | hypmix-0.2.4.tar.gz |
|---|---|
| Size | 331.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / hypmix-0.2.4-py3-none-any.whl
| Download URL | hypmix-0.2.4-py3-none-any.whl |
|---|---|
| Size | 336.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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