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.

Features

  • Download map tiles from Tile Map Service (TMS) servers and create GeoTIFF files
  • Segment GeoTIFF files using the Segment Anything Model (SAM) and HQ-SAM
  • Segment remote sensing imagery with text prompts
  • Create foreground and background markers interactively
  • Load existing markers from vector datasets
  • Save segmentation results as common vector formats (GeoPackage, Shapefile, GeoJSON)
  • Save input prompts as GeoJSON files
  • Visualize segmentation results on interactive maps

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

MIT License

Follow segment-geospatial

segment-geospatial Web Site

Other Useful Business Software
AestheticsPro Medical Spa Software Icon
AestheticsPro Medical Spa Software

Our new software release will dramatically improve your medspa business performance while enhancing the customer experience

AestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of segment-geospatial!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-07