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Anita Graser 🇪🇺🇺🇦🇬🇪<a href="https://fosstodon.org/tags/torchGeo" class="mention hashtag" rel="tag">#torchGeo</a> Release v0.7.0<a href="https://www.osgeo.org/community-news/torchgeo-release-v0-7-0/" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://www.osgeo.org/community-news/torchgeo-release-v0-7-0/</a>torchGeo is a <a href="https://fosstodon.org/tags/PyTorch" class="mention hashtag" rel="tag">#PyTorch</a> domain library designed to make it simple for <a href="https://fosstodon.org/tags/machineLearning" class="mention hashtag" rel="tag">#machineLearning</a> experts to work with <a href="https://fosstodon.org/tags/EO" class="mention hashtag" rel="tag">#EO</a> data, providing datasets, samplers, transforms, and pre-trained models specific to <a href="https://fosstodon.org/tags/geospatial" class="mention hashtag" rel="tag">#geospatial</a> data. <a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="tag">#GISChat</a> <a href="https://fosstodon.org/tags/GeoAI" class="mention hashtag" rel="tag">#GeoAI</a>

Anita Graser 🇪🇺🇺🇦🇬🇪<a href="https://fosstodon.org/tags/GeoAI" class="mention hashtag" rel="tag">#GeoAI</a> library ecosystem for <a href="https://fosstodon.org/tags/EO" class="mention hashtag" rel="tag">#EO</a> is 🔥Two important contributions (with unfortunately similar names) to look out for: 1️⃣ <a href="https://fosstodon.org/tags/TorchGeo" class="mention hashtag" rel="tag">#TorchGeo</a> <a href="https://fosstodon.org/tags/DeepLearning" class="mention hashtag" rel="tag">#DeepLearning</a> with <a href="https://fosstodon.org/tags/RemoteSensing" class="mention hashtag" rel="tag">#RemoteSensing</a> data <a href="https://github.com/microsoft/torchgeo" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://github.com/microsoft/torchgeo</a>2️⃣ <a href="https://bird.makeup/users/geotorchai" class="u-url mention">@geotorchai</a> (formerly <a href="https://fosstodon.org/tags/GeoTorch" class="mention hashtag" rel="tag">#GeoTorch</a>) <a href="https://fosstodon.org/tags/spatiotemporal" class="mention hashtag" rel="tag">#spatiotemporal</a> deep learning framework on top of <a href="https://fosstodon.org/tags/PyTorch" class="mention hashtag" rel="tag">#PyTorch</a> and <a href="https://bird.makeup/users/apachesedona" class="u-url mention">@apachesedona</a> for <a href="https://fosstodon.org/tags/imagery" class="mention hashtag" rel="tag">#imagery</a> and non-imagery data <a href="https://github.com/DataSystemsLab/GeoTorchAI" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://github.com/DataSystemsLab/GeoTorchAI</a><a href="https://fosstodon.org/tags/SpatialDataScience" class="mention hashtag" rel="tag">#SpatialDataScience</a> <a href="https://fosstodon.org/tags/geospatial" class="mention hashtag" rel="tag">#geospatial</a> <a href="https://fosstodon.org/tags/GIScience" class="mention hashtag" rel="tag">#GIScience</a> <a href="https://fosstodon.org/tags/EarthObservation" class="mention hashtag" rel="tag">#EarthObservation</a> <a href="https://fosstodon.org/tags/ML" class="mention hashtag" rel="tag">#ML</a> <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="tag">#MachineLearning</a> <a href="https://fosstodon.org/tags/DataEngineering" class="mention hashtag" rel="tag">#DataEngineering</a> <a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="tag">#GISChat</a> <a href="https://fosstodon.org/tags/Sedona" class="mention hashtag" rel="tag">#Sedona</a> <a href="https://fosstodon.org/tags/GeoTorchAI" class="mention hashtag" rel="tag">#GeoTorchAI</a>

Anita Graser 🇪🇺🇺🇦🇬🇪TIL that <a href="https://fosstodon.org/tags/TorchGeo" class="mention hashtag" rel="tag">#TorchGeo</a> datasets include building footprint polygons and some points with ecological observation data. Not yet sure how the data processing pipelines treat these input datasets <a href="https://torchgeo.readthedocs.io/en/stable/api/datasets.html" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://torchgeo.readthedocs.io/en/stable/api/datasets.html</a>

Anita Graser 🇪🇺🇺🇦🇬🇪Hey <a href="https://fosstodon.org/tags/GISchat" class="mention hashtag" rel="tag">#GISchat</a>, have you ever tried <a href="https://fosstodon.org/tags/TorchGeo" class="mention hashtag" rel="tag">#TorchGeo</a>? <a href="https://github.com/microsoft/torchgeo/releases/tag/v0.4.0#user-content-datamodules" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://github.com/microsoft/torchgeo/releases/tag/v0.4.0#user-content-datamodules</a>Would you recommend it? Is it <a href="https://fosstodon.org/tags/EO" class="mention hashtag" rel="tag">#EO</a> data only? <a href="https://fosstodon.org/tags/PyTorch" class="mention hashtag" rel="tag">#PyTorch</a> <a href="https://fosstodon.org/tags/GeoAI" class="mention hashtag" rel="tag">#GeoAI</a> <a href="https://fosstodon.org/tags/SpatialDataScience" class="mention hashtag" rel="tag">#SpatialDataScience</a> <a href="https://fosstodon.org/tags/geospatial" class="mention hashtag" rel="tag">#geospatial</a> <a href="https://fosstodon.org/tags/giscience" class="mention hashtag" rel="tag">#giscience</a>

Andrew CuttsJust added this code <a href="https://gist.github.com/cordmaur/d050973aa3ed980023e9239183a2cb66#file-earthsurfacewater_medium_2-ipynb" rel="nofollow noopener noreferrer" target="_blank">https://gist.github.com/cordmaur/d050973aa3ed980023e9239183a2cb66#file-earthsurfacewater_medium_2-ipynb</a> to awesomeearthobservation code a neat example of using <a href="https://mapstodon.space/tags/torchgeo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#torchgeo</a> <a href="https://mapstodon.space/tags/eochat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#eochat</a> 'An end-to-end deep learning geospatial segmentation project using Pytorch and TorchGeo packages'

Rαhul BhαdαniGeospatial deep learning with TorchGeo<a href="https://mastodon.world/tags/TorchGeo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TorchGeo</a>, a PyTorch domain library works with geospatial data by monitoring some of the world’s greatest challenges, like natural disasters and climate change. <a href="https://pytorch.org/blog/geospatial-deep-learning-with-torchgeo/" rel="nofollow noopener noreferrer" target="_blank">https://pytorch.org/blog/geospatial-deep-learning-with-torchgeo/</a><a href="https://mastodon.world/tags/torch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#torch</a> <a href="https://mastodon.world/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pytorch</a> <a href="https://mastodon.world/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> <a href="https://mastodon.world/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#machinelearning</a> <a href="https://mastodon.world/tags/geo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#geo</a> <a href="https://mastodon.world/tags/geospatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#geospatial</a> <a href="https://mastodon.world/tags/climatechange" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#climatechange</a> <a href="https://mastodon.world/tags/naturaldisaster" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#naturaldisaster</a>

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