Skip to main content

Find contact points in a 3D Volume.

Project description

PyPI version

Contact Points

import contact_points
l1 = 1
l2 = 2
pts = contact_points.find_contact_points(data, l1, l2)
>>> [ (x,y,z), (x,y,z), ... ] # label1, label2, label1, label2

A collection of algorithms for finding the contacts between one or more connected components in a 3D labeled image.

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

contact_points-0.0.7.tar.gz (117.2 kB view details)

Uploaded Source

File details

Details for the file contact_points-0.0.7.tar.gz.

File metadata

  • Download URL: contact_points-0.0.7.tar.gz
  • Upload date:
  • Size: 117.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.7

File hashes

Hashes for contact_points-0.0.7.tar.gz
Algorithm Hash digest
SHA256 b5695eeec1ec0a9ea90e81559326fa9feb376911a46c4a55ecc3fd5e662ddef8
MD5 44880a6136ed2e1a85c5b79bf03e792f
BLAKE2b-256 f1cecbbb2ecdb093a2e45ac3752e756cf5088c3bab184f79bb1c2ed831c80f12

See more details on using hashes here.

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