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segment-geospatial

samgeo.gishub.org · 1,119 words · saved by 2 readers

The segment-geospatial package draws its inspiration from segment-anything-eo repository authored by Aliaksandr Hancharenka. To facilitate the use of the Segment Anything Model (SAM) for geospatial data, I have developed the segment-anything-py and segment-geospatial Python packages, which are now available on PyPI and conda-forge. My primary objective is to simplify the process of leveraging SAM for geospatial data analysis by enabling users to achieve this with minimal coding effort. I have adapted the source code of segment-geospatial from the segment-anything-eo repository, and credit for its original version goes to Aliaksandr Hancharenka. Video tutorials are available on my YouTube Channel. The Segment Anything Model is computationally intensive, and a powerful GPU is recommended to process large datasets. It is recommended to have a GPU with at least 8 GB of GPU memory. You can utilize the free GPU resources provided by Google Colab. Alternatively, you can apply for AWS Cloud Cr

SamGeo ¶ A Python package for segmenting geospatial data with the Segment Anything Model (SAM) Introduction ¶ The SamGeo package draws its inspiration from segment-anything-eo repository authored by Aliaksandr Hancharenka . The primary objective of SamGeo is to simplify the process of leveraging SAM for geospatial data analysis by enabling users to achieve this with minimal coding effort. The source code of SamGeo was adapted from the segment-anything-eo repository, and credit for its original version goes to Aliaksandr Hancharenka. Free software: MIT license Documentation: https://s

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