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Merge pull request #24 from nasa-nccs-hpda/1.1.0
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Fixes to pypi installation
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jordancaraballo authored Dec 19, 2023
2 parents fef1e63 + 025fa34 commit 05be234
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Showing 2 changed files with 27 additions and 5 deletions.
31 changes: 26 additions & 5 deletions setup.cfg
Original file line number Diff line number Diff line change
@@ -1,22 +1,32 @@
[metadata]
name = vhr-cloudmask
version = attr: vhr_cloudmask.__version__
author = Jordan A. Caraballo-Vega
author = jordancaraballo
author_email = jordan.a.caraballo-vega@nasa.gov
url = https://github.com/nasa-nccs-hpda/vhr-cloudmask
description = Deep learning pipeline to cloud mask VHR imagery
long_description = file: README.rst
long_description_content_type = text/x-rst
keywords = cloudmask, rioxarray, rasterio, tensorflow
keywords = cloudmask, rioxarray, rasterio
license = BSD 3-Clause License
classifiers =
License :: OSI Approved :: BSD License
Programming Language :: Python :: 3
Development Status :: 4 - Beta
Intended Audience :: Developers
Intended Audience :: Science/Research
Topic :: Software Development :: Libraries :: Python Modules
License :: OSI Approved :: MIT License
Programming Language :: Python :: 3 :: Only
project_urls =
Documentation = https://github.com/nasa-nccs-hpda/vhr-cloudmask
Source = https://github.com/nasa-nccs-hpda/vhr-cloudmask
Issues = https://github.com/nasa-nccs-hpda/vhr-cloudmask/issues

[options]
packages = find:
zip_safe = True
include_package_data = True
platforms = any
python_requires = >= 3.7
install_requires =
geopandas
rioxarray
Expand All @@ -29,4 +39,15 @@ install_requires =

[options.entry_points]
console_scripts =
vhr-cloudmask-cli = vhr_cloudmask.view.cloudmask_cnn_pipeline_cli:main
vhr_cloudmask_cli = vhr_cloudmask.view.cloudmask_cnn_pipeline_cli:main

[options.extras_require]
test =
pytest
coverage[toml]
black
docs =
pdoc==8.0.1
all =
%(docs)s
%(test)s
1 change: 1 addition & 0 deletions vhr_cloudmask/view/cloudmask_cnn_pipeline_cli.py
Original file line number Diff line number Diff line change
Expand Up @@ -92,6 +92,7 @@ def main():

logging.info(f'Took {(time.time()-timer)/60.0:.2f} min.')

return

# -----------------------------------------------------------------------------
# Invoke the main
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