Skip to main content

Crossroads segmentation is a python tool that produces automatic segmentations of data from OpenStreetMap.

Project description

crossroads segmentation

Crossroads segmentation is a python tool that produces automatic segmentations of data from OpenStreetMap.

Installation

Using pip, use the following command line to install crseg:

  • pip install crossroad-segmentation

Dependancies

Examples

The main example to use is examples/get-crossroad-description.py. You will find a complete description of the possible parameters using the following command:

  • PYTHONPATH=$PWD examples/get-crossroad-description.py --help

This tool is using OSMnx to download OpenStreetMap data from the selected region. It uses a cache, stored in cache/ directory. If a region has already been asked, it will use the cached data and not download it again. You can of course delete the cache directory to download again the data.

The location of the region can be choosen using coordinates (--by-coordinates LAT LNG) or using an predefined coordinate defined by a name (--by-name NAME). A radius (-r VALUE) with a default value of 150 meters can be adjusted to choose the size of the region to consider.

Several outputs are possible:

  • to display the segmentation with all the crossings in the region (--display-segmentation), or only focussing on the main crossroad (--display-main-crossroad) closest to the input coordinate. This second display gives also the branches of the crossroad.

  • to produce a text version of the selection (--to-text, --to-text-all) in the standard output

  • to produce a json file that contains all the detected crossroads (--to-json-all FILENAME) or only the main one (--to-json FILENAME). Branches are also contained in this output.

  • 3 parameters (C0, C1 and C2) to drive the creation and merge of the crossroads

  • a maximum number of crossroads in a ring (--max-cycle-elements NB), with default value of 10 for the last step of the segmentation.

Several of these outputs (--to-json, --to-json-all, --display-main-crossroad, --to-geopackage) can be adjusted using the parameter --multiscale to describe the small crossroad that has been merged to produce the large ones.

Non regression tests

A very basic non regression test is provided in test directory. Usage:

  • run first ./regenerate_references.sh
  • run ./test.sh each time you want to check for regressions

Visual evaluation

A separated project is available to evaluate segmentation quality. See crossroads-evaluation.

Examples

./get-crossroad-description.py --by-name POC1 --display-main-crossroad --multiscale

POC1

./get-crossroad-description.py --by-name obélisque --display-segmentation -r 1000

R1000

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

crossroads-segmentation-0.1.2.tar.gz (424.2 kB view hashes)

Uploaded Source

Built Distribution

crossroads_segmentation-0.1.2-py3-none-any.whl (25.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page