{"id":26048614,"url":"https://github.com/jackkweyunga/opencv_face_recognition_for_security_past","last_synced_at":"2026-04-21T06:33:21.078Z","repository":{"id":175907204,"uuid":"501163831","full_name":"jackkweyunga/opencv_face_recognition_for_security_past","owner":"jackkweyunga","description":null,"archived":false,"fork":false,"pushed_at":"2022-06-08T12:08:25.000Z","size":102454,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-08T00:28:30.820Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jackkweyunga.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-06-08T08:29:25.000Z","updated_at":"2022-06-09T14:07:59.000Z","dependencies_parsed_at":null,"dependency_job_id":"efa08521-3cb7-40de-9906-fee3a3bb2442","html_url":"https://github.com/jackkweyunga/opencv_face_recognition_for_security_past","commit_stats":null,"previous_names":["jackkweyunga/opencv_face_recognition_for_security_past"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jackkweyunga/opencv_face_recognition_for_security_past","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jackkweyunga%2Fopencv_face_recognition_for_security_past","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jackkweyunga%2Fopencv_face_recognition_for_security_past/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jackkweyunga%2Fopencv_face_recognition_for_security_past/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jackkweyunga%2Fopencv_face_recognition_for_security_past/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jackkweyunga","download_url":"https://codeload.github.com/jackkweyunga/opencv_face_recognition_for_security_past/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jackkweyunga%2Fopencv_face_recognition_for_security_past/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32080381,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-21T06:27:27.065Z","status":"ssl_error","status_checked_at":"2026-04-21T06:27:21.250Z","response_time":128,"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":[],"created_at":"2025-03-08T00:27:14.214Z","updated_at":"2026-04-21T06:33:21.074Z","avatar_url":"https://github.com/jackkweyunga.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Real-time-Face-Recognition-using-OpenCV-and-webcam\n\n\nI used the OpenCV library in Python to do a real-time Face recognition using the computer webcam.\nhttps://opencv.org/\n\nFace detection is done using feature-based cascade classifiers.\nhttps://docs.opencv.org/3.3.0/d7/d8b/tutorial_py_face_detection.html\n\nThis project contains 2 python scripts. The  first script is the datagathering in which individuals' pictures are gathered to be uses in the recognition process.\nthe recognizer script with then train and run the model.\n\nBefore starting the data gathering, a driectory for the project should be created.\nmkdir project\n\nhaarcascade_frontalface_default.xml should be downloaded to the project's directory.\n\n(the project directory should containg the python scripts and the haarcascade part.)\n\nthen the \"subdirectory\" for datagathering should be created. In this subdirectory picture samples for each individual is stored.\n\nmkdir data\n\n\nhaarcascade_frontalface_default.xml:\nhttps://github.com/opencv/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml\n\nBased on a complete Tutorial:\nhttps://www.instructables.com/id/Real-time-Face-Recognition-an-End-to-end-Project/\n\n\n\n\n\n\"# opencv_face_recognition_for_security\" \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjackkweyunga%2Fopencv_face_recognition_for_security_past","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjackkweyunga%2Fopencv_face_recognition_for_security_past","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjackkweyunga%2Fopencv_face_recognition_for_security_past/lists"}