Welcome to SamGIS’s documentation!

About this project

SamGIS is an attempt to perform machine learning instance segmentation on geospatial data even without the use of dedicated graphics cards. The user interact on a leaflet webmap choosing areas to recognize and a backend responds with a geojson containing one or more recognized polygons within the initial webmap.

The backend perform machine learning inference using a Segment Anything model and ONNXRuntime as runtime.

Check about implementation details on my blog.

Self-hosted demo

You can visit my self-hosted demo here. Since this demo uses a python container backend hosted on my AWS account I keep it under authentication to prevent abuses. Here the OpenAPI swagger documentation.

HuggingFace Space demo

I added also a demo on this HuggingFace Space. It’s possible to find here the direct space url and here the OpenAPI swagger documentation.

Another interesting resource is my HuggingFace SamGIS - LISA on CUDA demo: you can find some details about it on its project page.

Changelog

Version 1.5.4

  • update backend and frontend dependencies (samgis-core updated to version 2.0.2)

Version 1.5.3

  • update backend and frontend dependencies (samgis-core updated to version 2.0.1)

Version 1.5.2

  • update backend and frontend dependencies

Version 1.5.1

  • samgis_core: now support onnxruntime 1.17.x and later

  • samgis_core: remove opencv-python dependency, now SegmentAnythingONNX2 resize images using PIL

  • samgis_core: bump to version 2.0.0 to remark a breaking change: passage from SegmentAnythingONNX to SegmentAnythingONNX2

  • known issue: on MacOS, samgis still work without executing it within a docker container, but it’s slower during image embedding because of a memory leak caused by CoreML

Version 1.5.0

  • now it’s possible to download tmp images from /vis_output routes if WRITE_TMP_ON_DISK env variable exists (it’s the output folder path)

Version 1.4.2

  • frontend: add support for hiding old polygon layers from ML inferences

Version 1.4.1

  • update base python docker image to bookworm-3.11

  • move support for AWS lambda (aws-lambda-rie, lambda-entrypoint.sh) docker to separated dockerfile

  • add Demo url entry in pyproject.toml file

Version 1.4.0

  • add support for python 3.11

  • add urls section used by pypi.org

  • update some vulnerable dependencies

  • update samgis_core@1.2.0 to use python 3.11

Version 1.3.0

  • take advantage of re-usable image embeddings in SAM model using samgis_core@1.1.2

  • add map navigation locking (unlockable!) on ML request to take advantage of image embedding re-use

  • add a metadata section within the pyproject.toml file

  • handle case of samgis not installed within the docker image that could crash the backend on /health requests

Version 1.2.2

  • update dependencies version

Version 1.2.1

  • update dependencies version

Version 1.2.0

  • code refactor to separate core functionality (instance segmentation) from other code

  • updated test coverage

Version 1.1.0

  • Added this changelog

  • specific backend branch code uses terrain providers like nextzen and MapBox Terrain-RGB v1

  • update test coverage

  • update python dependencies versions

  • update node dependencies versions

Version 1.0.2

  • HuggingFace frontend demo: update the navbar url to SamGIS docs

  • add two openapi docs builder scripts

  • update samgis version within docs

  • remove unused package.json

Version 1.0.1

Version 1.0.0

First release:

  • user onboarding tour with driver.js

  • code decoupling between the AWS lambda wrapper and the backend…

  • …now also deployed on this HuggingSpace space demo (here some explanation about adding a SPA vuejs frontend)

  • request input validation using Pydantic

  • support for array prompts (both rectangle and point types)

  • tiles download/merge/crop steps uses contextily by geopandas

  • CSS frontend style with Tailwind

Indices and tables documentation