{"id":21157869,"url":"https://github.com/rahulguptagzb09/video-object-detection-using-ssd","last_synced_at":"2026-04-24T08:32:24.485Z","repository":{"id":258391322,"uuid":"184614061","full_name":"rahulguptagzb09/Video-Object-Detection-Using-SSD","owner":"rahulguptagzb09","description":"Video Object Detection Using SSD","archived":false,"fork":false,"pushed_at":"2019-05-02T16:28:12.000Z","size":28668,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-01-01T04:20:59.479Z","etag":null,"topics":["deep-learning","object-detection","opencv","ssd","video-processing"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rahulguptagzb09.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-05-02T16:23:13.000Z","updated_at":"2020-11-09T08:02:53.000Z","dependencies_parsed_at":"2024-10-18T19:53:05.835Z","dependency_job_id":null,"html_url":"https://github.com/rahulguptagzb09/Video-Object-Detection-Using-SSD","commit_stats":null,"previous_names":["rahulguptagzb09/video-object-detection-using-ssd"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rahulguptagzb09/Video-Object-Detection-Using-SSD","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulguptagzb09%2FVideo-Object-Detection-Using-SSD","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulguptagzb09%2FVideo-Object-Detection-Using-SSD/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulguptagzb09%2FVideo-Object-Detection-Using-SSD/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulguptagzb09%2FVideo-Object-Detection-Using-SSD/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rahulguptagzb09","download_url":"https://codeload.github.com/rahulguptagzb09/Video-Object-Detection-Using-SSD/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulguptagzb09%2FVideo-Object-Detection-Using-SSD/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32216208,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-24T08:24:32.376Z","status":"ssl_error","status_checked_at":"2026-04-24T08:24:26.731Z","response_time":64,"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":["deep-learning","object-detection","opencv","ssd","video-processing"],"created_at":"2024-11-20T12:11:27.469Z","updated_at":"2026-04-24T08:32:24.470Z","avatar_url":"https://github.com/rahulguptagzb09.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Video-Object-Detection-Using-SSD\nVideo Object Detection Using SSD\n\u003ch4\u003e\"\"\"Single Shot Multibox Architecture\n    The network is composed of a base VGG network followed by the\n    added multibox conv layers.  Each multibox layer branches into\n        1) conv2d for class conf scores\n        2) conv2d for localization predictions\n        3) associated priorbox layer to produce default bounding\n           boxes specific to the layer's feature map size.\n    See: https://arxiv.org/pdf/1512.02325.pdf for more details.\n\n    Args:\n        phase: (string) Can be \"test\" or \"train\"\n        base: VGG16 layers for input, size of either 300 or 500\n        extras: extra layers that feed to multibox loc and conf layers\n        head: \"multibox head\" consists of loc and conf conv layers\n    \"\"\"\n    \u003c/h4\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frahulguptagzb09%2Fvideo-object-detection-using-ssd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frahulguptagzb09%2Fvideo-object-detection-using-ssd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frahulguptagzb09%2Fvideo-object-detection-using-ssd/lists"}