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Better README (#626)
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* Better README

* Update description
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adamjstewart committed Jun 30, 2022
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2 changes: 1 addition & 1 deletion CITATION.cff
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Expand Up @@ -17,6 +17,6 @@ preferred-citation:
given-names: "Arindam"
journal: "arXiv preprint arXiv:2111.08872"
month: 11
title: "TorchGeo: deep learning with geospatial data"
title: "TorchGeo: Deep Learning With Geospatial Data"
url: "https://github.com/microsoft/torchgeo"
year: 2021
131 changes: 77 additions & 54 deletions README.md

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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -27,7 +27,7 @@ color_output = true
[tool.mypy]
ignore_missing_imports = true
show_error_codes = true
exclude = "(build|data|dist|docs/src|logo|logs|output)/"
exclude = "(build|data|dist|docs/src|images|logo|logs|output)/"

# Strict
warn_unused_configs = true
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5 changes: 3 additions & 2 deletions setup.cfg
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Expand Up @@ -4,7 +4,7 @@ name = torchgeo
version = attr: torchgeo.__version__
author = Adam J. Stewart
author_email = ajstewart426@gmail.com
description = TorchGeo: datasets, transforms, and models for geospatial data
description = TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
long_description = file: README.md
long_description_content_type = text/markdown
url = https://github.com/microsoft/torchgeo
Expand All @@ -21,7 +21,7 @@ classifiers =
Operating System :: OS Independent
Topic :: Scientific/Engineering :: Artificial Intelligence
Topic :: Scientific/Engineering :: GIS
keywords = pytorch, deep learning, machine learning, remote sensing, satellite imagery, geospatial
keywords = pytorch, deep learning, machine learning, remote sensing, satellite imagery, earth observation, geospatial

[options]
install_requires =
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exclude =
# TorchGeo
data/,
images/,
logo/,
logs/,
output/,
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2 changes: 1 addition & 1 deletion torchgeo/__init__.py
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@@ -1,7 +1,7 @@
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.

"""TorchGeo: datasets, transforms, and models for geospatial data.
"""TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data.
This library is part of the `PyTorch <http://pytorch.org/>`_ project. PyTorch is an open
source machine learning framework.
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