title: SamGIS
emoji: 🗺️
colorFrom: red
colorTo: blue
sdk: docker
pinned: true
license: mit
About this README
I tested these instructions on macOS, but should work on linux as well.
SAM2 ONNX models
SAM2 ONNX weights are downloaded from aletrn/sam2-onnx-weights via the download script:
uv run python scripts/download_models.py
The default variant is sam2.1_hiera_base_plus_uint8. Override with MODEL_VARIANT env variable. Models are stored in ~/.samgis/models/<variant>/ and verified via SHA-256 checksums.
SamGIS - Docker version
The SamGIS HuggingSpace url is https://huggingface.co/spaces/aletrn/samgis. Build the docker image this way:
# clean any old active containers
docker stop $(docker ps -a -q); docker rm $(docker ps -a -q)
# build the base docker image from the repository root folder.
# The SAMGIS_BASE_DOCKER_VERSION env variable read from the pyproject.toml is used to tag the docker image
(
SAMGIS_BASE_DOCKER_VERSION=$(grep version pyproject.toml |head -1|cut -d'=' -f2|cut -d'"' -f2);
set -o allexport && source <(cat ./static/.env|grep VITE__) && set +o allexport;
env|grep VITE__;
docker buildx build . -f dockerfiles/dockerfile-samgis-base --progress=plain \
--platform linux/amd64 --provenance=false \
--build-arg VITE__MAP_DESCRIPTION="${VITE__MAP_DESCRIPTION}" \
--build-arg VITE__SAMGIS_SPACE="${VITE__SAMGIS_SPACE}" \
--build-arg VITE__STATIC_INDEX_URL="${VITE__STATIC_INDEX_URL}" \
--tag registry.gitlab.com/aletrn/gis-prediction:${SAMGIS_BASE_DOCKER_VERSION}
)
# build the image, use the tag "samgis-huggingface"
docker build . --platform linux/amd64 --provenance=false --tag registry.gitlab.com/aletrn/samgis-huggingface --progress=plain
Run the container (keep it on background) and show logs
docker run -d --name samgis-huggingface -p 7860:7860 \
--platform linux/amd64 \
-e VITE__STATIC_INDEX_URL=${VITE__STATIC_INDEX_URL} \
-e VITE__INDEX_URL=${VITE__INDEX_URL} \
registry.gitlab.com/aletrn/samgis-huggingface; docker logs -f samgis-huggingface
Test it with curl using a json payload:
URL=http://localhost:7860/infer_samgis
curl -d@./events/payload_point_eolie.json -H 'content-type: application/json' ${URL}
# or:
curl -d@./events/payload_point_colico.json -H 'content-type: application/json' ${URL}
or better visiting the swagger page on http://localhost:7860/docs
Dependencies installation, local execution and local tests
The docker build process needs only the base dependency group plus the aws_lambda or fastapi optional one (right now I use almost only the fastapi version). Install also the test and/or docs groups if needed.
Local execution
If you need to use the SPA frontend follow the frontend instruction here.
You can run the local server using this python command:
uvicorn app:app --host 127.0.0.1 --port 7860
Change the port and/or the host ip if needed. Test it with curl using a json payload:
URL=http://localhost:7860/infer_samgis
curl -d@./events/payload_point_eolie.json -H 'content-type: application/json' ${URL}
Local execution on MacOS
There is a known issue running the project on macOS. SamGIS still work also without executing it within a docker container, but is slower during image embedding because of a memory leak caused by CoreML. Here a log about this bug:
[...]
2024-05-15T18:38:37.478698+0200 - INFO - predictors.py - samexporter_predict - (be2506dc-0887-4752-9889-cf12db7501f5) missing instance model mobile_sam, instantiating it now!
2024-05-15T18:38:37.479582+0200 - INFO - sam_onnx2.py - __init__ - (be2506dc-0887-4752-9889-cf12db7501f5) Available providers for ONNXRuntime: %s
2024-05-15 18:38:37.673229 [W:onnxruntime:, coreml_execution_provider.cc:81 GetCapability] CoreMLExecutionProvider::GetCapability, number of partitions supported by CoreML: 104 number of nodes in the graph: 566 number of nodes supported by CoreML: 383
Context leak detected, CoreAnalytics returned false
Context leak detected, CoreAnalytics returned false
Context leak detected, CoreAnalytics returned false
Context leak detected, CoreAnalytics returned false
Context leak detected, CoreAnalytics returned false
Context leak detected, CoreAnalytics returned false
2024-05-15T18:38:47.691608+0200 - INFO - sam_onnx2.py - __init__ - (be2506dc-0887-4752-9889-cf12db7501f5) encoder_input_name:
2024-05-15 18:38:47.913677 [W:onnxruntime:, coreml_execution_provider.cc:81 GetCapability] CoreMLExecutionProvider::GetCapability, number of partitions supported by CoreML: 48 number of nodes in the graph: 496 number of nodes supported by CoreML: 221
Context leak detected, CoreAnalytics returned false
Context leak detected, CoreAnalytics returned false
Context leak detected, CoreAnalytics returned false
Context leak detected, CoreAnalytics returned false
2024-05-15T18:38:50.926801+0200 - DEBUG - predictors.py - samexporter_predict - (be2506dc-0887-4752-9889-cf12db7501f5) using a mobile_sam instance model...
[...]
This problem doesn't rise if running it within the docker container.
Tests
Tests are defined in the tests folder in this project.
# Backend unit tests with coverage
python -m pytest --cov=samgis --cov-report=term-missing && coverage html
E2E smoke tests (from the static/ directory):
# Run all e2e tests against Vite dev server (backend tests auto-skip)
pnpm test:e2e
# Run smoke tests against a custom backend URL (it could be a bare python server or the docker container on a custom domain:port, e.g. localhost:7862)
SMOKE_URL=http://localhost:7862 pnpm test:e2e
# Run smoke tests against a running Docker container with SMOKE_URL=http://localhost:7860
pnpm test:e2e:smoke
The smoke tests verify frontend loading (Vue + Leaflet + driver.js), the /health endpoint, and request validation on /infer_samgis. Backend-specific tests auto-skip when no backend is reachable.
How to update the static documentation with sphinx
This project documentation uses sphinx-apidoc: it's a tool for automatic generation of Sphinx sources that, using the autodoc extension, document a whole package in the style of other automatic API documentation tools. See the documentation page for details. Run the command from the project root:
# missing docs folder (run from project root) initialize this way
#
cd docs && sphinx-quickstart --project SamGIS --release 1.0.0 --language python --master index
# update docs folder (from project root) referring to the other packages folder
sphinx-apidoc -f -o docs /path/to/samgis_web
sphinx-apidoc -f -o docs /path/to/samgis_core
Then it's possible to generate the HTML pages
cd docs && make html && ../
# to clean old files
cd docs && make clean html && cd ../
The static documentation it's now ready at the path docs/_build/html/index.html.
To create a work in progress openapi json or yaml file use
extract-openapi-fastapi.pyextract-openapi-lambda.py(useful to export the json schema request and response from lambda app api)
Update requirements.txt using uv
To regenerate the production requirements.txt with locked hashes:
uv export --frozen --no-dev --no-emit-project --output-file requirements.txt