{"id":14977850,"url":"https://github.com/seung-lab/contact-points","last_synced_at":"2025-10-28T07:30:22.730Z","repository":{"id":62564571,"uuid":"215553932","full_name":"seung-lab/contact-points","owner":"seung-lab","description":"Find contact points in a 3D Volume.","archived":false,"fork":false,"pushed_at":"2021-04-02T00:37:35.000Z","size":448,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":17,"default_branch":"master","last_synced_at":"2025-02-01T12:43:59.668Z","etag":null,"topics":["3d","connected-components","image-processing","numpy","volumetric-data"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/seung-lab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-10-16T13:22:48.000Z","updated_at":"2022-01-21T23:20:08.000Z","dependencies_parsed_at":"2022-11-03T16:45:36.543Z","dependency_job_id":null,"html_url":"https://github.com/seung-lab/contact-points","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seung-lab%2Fcontact-points","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seung-lab%2Fcontact-points/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seung-lab%2Fcontact-points/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seung-lab%2Fcontact-points/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/seung-lab","download_url":"https://codeload.github.com/seung-lab/contact-points/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238608225,"owners_count":19500335,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["3d","connected-components","image-processing","numpy","volumetric-data"],"created_at":"2024-09-24T13:56:26.314Z","updated_at":"2025-10-28T07:30:22.317Z","avatar_url":"https://github.com/seung-lab.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![PyPI version](https://badge.fury.io/py/contact-points.svg)](https://badge.fury.io/py/contact-points)\n\nContact Points\n==============\n\n```python\nimport contact_points\nl1 = 1\nl2 = 2\npts = contact_points.find_contact_points(data, l1, l2)\n\u003e\u003e\u003e [ (x,y,z), (x,y,z), ... ] # label1, label2, label1, label2\n```\n\nA collection of algorithms for finding the contacts between one or more connected components in a 3D labeled image.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseung-lab%2Fcontact-points","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fseung-lab%2Fcontact-points","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseung-lab%2Fcontact-points/lists"}