SamGIS - Some notes about Segment Anything

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  1. segment-anything

    Discontinued The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

    "SAM" is a foundation model aiming for performing "zero-shot" image segmentation:

  2. Nutrient

    Nutrient - The #1 PDF SDK Library. Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.

    Nutrient logo
  3. FastSAM

    Fast Segment Anything

    instantiated fastsam model

  4. contextily

    Context geo-tiles in Python

    Note that making one request immediately after another keep requests duration low probably because of cache during tiles download on backend side. Instead waiting more than 10 minutes it seems invalidate the cache, then contextily (the GeoPandas' library that I use as a tiles client) added from 0.5s to 1.5s of time, during my tests, to download the tiles.

  5. Openstreetmap

    The Rails application that powers OpenStreetMap

    created image from webmap (I'm using OpenStreetMap as tiles provider and Mapnik as map layer)

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