Skip to content

Latest commit

 

History

History
26 lines (21 loc) · 1.79 KB

README.md

File metadata and controls

26 lines (21 loc) · 1.79 KB
Raw

Example: detecting swimming pools over the Canton of Geneva

A sample working setup is here provided, allowing the end-user to detect swimming pools over the Canton of Geneva. It is made up by the following assets:

  • ready-to-use configuration files, namely config_GE.yaml and detectron2_config_GE.yaml.
  • Supplementary data (data/OK_z18_tile_IDs.csv), i.e. a curated list of Slippy Map Tiles corresponding to zoom level 18, which seemed to include reliable "ground-truth data" when they were manually checked against the SITG's "Piscines" Open Dataset, in Summer 2020. The thoughtful user should either review or regenerate this file in order to get better results.
  • A data preparation script (prepare_data.py), producing files to be used as input to the generate_tilesets stage.

The workflow can be run end-to-end by issuing the following list of commands, from the root folder of this GitHub repository:

$ sudo chown -R 65534:65534 examples
$ docker compose run --rm -it stdl-objdet
nobody@<id>:/app# cd examples/swimming-pool-detection/GE
nobody@<id>:/app# python prepare_data.py config_GE.yaml
nobody@<id>:/app# cd output_GE && cat parcels.geojson | supermercado burn 18 | mercantile shapes | fio collect > parcels_z18_tiles.geojson && cd -
nobody@<id>:/app# python prepare_data.py config_GE.yaml
nobody@<id>:/app# stdl-objdet generate_tilesets config_GE.yaml
nobody@<id>:/app# stdl-objdet train_model config_GE.yaml
nobody@<id>:/app# stdl-objdet make_detections config_GE.yaml
nobody@<id>:/app# stdl-objdet assess_detections config_GE.yaml
nobody@<id>:/app# exit
$ sudo chmod -R a+w examples

We strongly encourage the end-user to review the provided config_GE.yaml file as well as the various output files, a list of which is printed by each script before exiting.