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caco

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Project: caco
Version: 0.2.4
Filename: caco-0.2.4-py3-none-any.whl
Download: [link]
Size: 17962
MD5: fc64d6f77ac2907e452217e365dec5e5
SHA256: 8a659b6f87655adba84eb276b2180aefb21a2d9071ce3740a0c69b04762b22fd
Uploaded: 2018-03-15 14:27:45 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.0
Name: caco
Version: 0.2.4
Summary: Estimation of canopy attributes from digital cover photography
Author: Alessandro Alivernini
Author-Email: alessandro.alivernini[at]crea.gov.it
Home-Page: https://github.com/alivernini/caco
Download-Url: https://github.com/alivernini/caco/archive/v0.2.5.tar.gz
License: MIT
Keywords: tree,canopy,gap fraction,lai,leaf area index
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Requires-Dist: PyYAML (>=3.12)
Requires-Dist: numpy (>=1.11.0)
Requires-Dist: pandas (>=0.20.1)
Requires-Dist: rawpy (>=0.10.1)
Requires-Dist: scikit-image (>=0.13.1)
Requires-Dist: scipy (>=0.19.1)
Requires-Dist: xlwt (>=1.3.0)
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.29.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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top_level.txt

caco

entry_points.txt

[console_scripts]
caco_cli = caco.caco_cli:main
[gui_scripts]