{"id":27050804,"url":"https://github.com/rizquuula/python-glrlm","last_synced_at":"2026-04-07T18:18:37.205Z","repository":{"id":44620943,"uuid":"266133820","full_name":"rizquuula/python-glrlm","owner":"rizquuula","description":"This is library of Gray Level Run Length Matrix, one of pre-processing method on computer vision","archived":false,"fork":false,"pushed_at":"2022-02-04T06:33:36.000Z","size":20,"stargazers_count":9,"open_issues_count":0,"forks_count":6,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-01-14T10:37:31.118Z","etag":null,"topics":["glrlm","grayscale","python-library"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rizquuula.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":"2020-05-22T14:42:45.000Z","updated_at":"2025-11-15T12:30:51.000Z","dependencies_parsed_at":"2022-09-04T15:04:34.206Z","dependency_job_id":null,"html_url":"https://github.com/rizquuula/python-glrlm","commit_stats":null,"previous_names":["eiproject/python-glrlm"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/rizquuula/python-glrlm","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rizquuula%2Fpython-glrlm","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rizquuula%2Fpython-glrlm/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rizquuula%2Fpython-glrlm/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rizquuula%2Fpython-glrlm/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rizquuula","download_url":"https://codeload.github.com/rizquuula/python-glrlm/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rizquuula%2Fpython-glrlm/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31523310,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-07T16:28:08.000Z","status":"ssl_error","status_checked_at":"2026-04-07T16:28:06.951Z","response_time":105,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["glrlm","grayscale","python-library"],"created_at":"2025-04-05T08:19:35.391Z","updated_at":"2026-04-07T18:18:37.161Z","avatar_url":"https://github.com/rizquuula.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# python-glrlm\n\nThis is library of Gray Level Run Length Matrix, feature extraction method of image processing\n\n![GitHub](https://img.shields.io/github/license/eiproject/python-glrlm)\n![GitHub top language](https://img.shields.io/github/languages/top/eiproject/python-glrlm)\n![GitHub all releases](https://img.shields.io/github/downloads/eiproject/python-glrlm/total?label=downloads)\n![GitHub release (latest by date including pre-releases)](https://img.shields.io/github/v/release/eiproject/python-glrlm?include_prereleases)\n\n## Installation\n\n```console\npip install glrlm\n```\n\n## Usage Example\n\n```python\nfrom glrlm import GLRLM\nimport cv2\n\nIMG_PATH = 'path_to_your/image'\nimg = cv2.imread(IMG_PATH)\n\napp = GLRLM()\nglrlm = app.get_features(img, 8)\n```\n\n## Features extracted\n\nFeature extraction result from GLRLM library\n\n- SRE = Short Run Emphasis\n- LRE = Long Run Emphasis\n- GLU = Grey Level Uniformity\n- RLU = Run Length Uniformity\n- RPC = Run Percentage\n\n## Support\n\nReach me out on [Email](mailto:razifrizqullah@gmail.com \"razifrizqullah@gmail.com\")\n\n## Contribution\n\nIf you find out this library as useful please give it a star to let everyone know. If you have idea on how to improve this library, I am always open for every contributors. Thank you!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frizquuula%2Fpython-glrlm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frizquuula%2Fpython-glrlm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frizquuula%2Fpython-glrlm/lists"}