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A service for calculation of various metrics over image segmentation with georeference

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About F1-score utility

Geographic data F1-score metric calculation utility.

You can test / use it on our server. https://f1.aeronetlab.space (the limit for input files is 15000x15000 pixels)

Features

  • Object- and pixelwise scores, and point-to-object score
  • Supported formats:
    • GeoTIFF
    • GeoJSON
  • (Upcoming) Generating difference masks

Metric

Objectwise metric is based on the metric used in SpaceNet Challenge https://medium.com/the-downlinq/the-spacenet-metric-612183cc2ddb

Pixelwise metric is plain F1 score: F1 = 2*precision*recall/(precision + recall)

Point metric is calculated similar to objectwise, but instead of IoU > Threshold the condition for positive detection is when centroid of the detected object lies within the polygon of a ground truth object

Pre-requisites

This is a server app that is hosted in the docker (dockerfile provided)

Any OS

  • docker 17+

Setup

  • build docker image:
docker build -t f1_server .
  • run docker containter:
docker run -d -p <outer_port>:5000 f1_server
  • for CORS support pass list of url's:
docker run -d -p <outer_port>:5000 -e CORS_ALLOWED=https://aeronetlab.space,http://osd.aeronetlab.space f1_server

Usage

The server accepts HTTP POST requests in the following form:

  • parameters:
    • format:raster|vector|point,
    • iou: float from 0 to 1, default 0.5
    • timestamp: for request identification, POSIX timestamp
    • v: boolean True/False for verbose output
  • request body: * files = {'file': [zip file]} where zip file is an archive containing groundtruth and prediction files: gt.tif and pred.tif in case of 'raster' format, and gt.geojson and pred.geojson in case of 'vector' or 'point' format

Request example:

curl -X POST url:port/f1?format=vector&iou=0.5&timestamp=1543932176.827446?v=True \
    tests/data/ventura/ventura_class_801.geojson \
    tests/data/ventura/ventura_class_801_pred.geojson \
    --format=vector -v

Available formats are

  • raster: compares two *.tif and measures pixelwise f1 score
  • vector: compares two *.geojson and measures objectwise f1 score

Test calculation functions

In command line from this directory:

python -m unittest tests/test_f1_calc.py

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A service for calculation of various metrics over image segmentation with georeference

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