TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and training neural networks for tasks such as semantic segmentation, object detection, and change detection. It serves as a comprehensive pipeline for remote sensing, featuring specialized dataset loaders and multispectral image preprocessing tools. The library is distinguished by a dedicated remote sensing model zoo and extensive support for transfer learning, allowing users to integrate pre-trained weights optimized for specific satellite sensors. It also includes support for sel
GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and writing geospatial raster and vector data across hundreds of file formats. It serves as a foundational geospatial data translation library, enabling access to diverse geospatial data formats through a single, consistent interface. The library exposes its core functionality through command-line utilities that allow users to translate, convert, and process geospatial data between formats. A coordinate transformation engine handles conversions between spatial reference systems, whil
ffi-geos is an implementation of the GEOS Ruby bindings in Ruby via FFI.
Las características principales de dark-panda/ffi-geos son: Geospatial Development Libraries.
Las alternativas de código abierto para dark-panda/ffi-geos incluyen: torchgeo/torchgeo — TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and… osgeo/gdal — GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and… cualbondi/osmptparser — Open Street Map Public Transport Parser. dwins/mapnik2geotools — Using the Scala XML API to translate from Mapnik XML to GeoTools' SLD dialect. georust/rust-gdal — Rust bindings for GDAL. dwins/geoscript.scala — Scala implementation of the GeoScript API.
