{"id":21047347,"url":"https://github.com/vybhav72954/human_detector","last_synced_at":"2026-04-26T20:31:09.321Z","repository":{"id":129460923,"uuid":"319968333","full_name":"vybhav72954/Human_Detector","owner":"vybhav72954","description":"Boilerplate code for Human Detection, using Images","archived":false,"fork":false,"pushed_at":"2020-12-11T18:19:31.000Z","size":7669,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-09T13:52:27.874Z","etag":null,"topics":["human-activity-recognition","human-computer-interaction","human-detection","image","image-processing","opencv","opensource"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/vybhav72954.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":"2020-12-09T13:41:15.000Z","updated_at":"2020-12-11T18:19:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"f61ef7cb-5ef1-4bef-ba1f-7a467d74c667","html_url":"https://github.com/vybhav72954/Human_Detector","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vybhav72954/Human_Detector","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vybhav72954%2FHuman_Detector","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vybhav72954%2FHuman_Detector/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vybhav72954%2FHuman_Detector/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vybhav72954%2FHuman_Detector/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vybhav72954","download_url":"https://codeload.github.com/vybhav72954/Human_Detector/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vybhav72954%2FHuman_Detector/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32312156,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-26T19:15:34.056Z","status":"ssl_error","status_checked_at":"2026-04-26T19:15:15.467Z","response_time":129,"last_error":"SSL_read: 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":["human-activity-recognition","human-computer-interaction","human-detection","image","image-processing","opencv","opensource"],"created_at":"2024-11-19T14:36:40.354Z","updated_at":"2026-04-26T20:31:09.306Z","avatar_url":"https://github.com/vybhav72954.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Human_Detector\n\nA really basic (boilerplate) code for Human_detection using OpenCV.\nThe script `human_detector.py` is the Wrapper around, `HOG-SVM` model already implemented in OpenCV.\n\n## Note\n\nThe aim of the script is not Accuracy, but ease of usability.\n\n\n## Dependency\n\n- OpenCV\n- Numpy\n- Imutils\n- Jupyter\nand associated packages.\n\nThese are summarised in `requirement.txt`\n\n\n## Setup\n\n1. A virtual environment (recommended)\n1. `pip install -r requirements.txt`\n1. Open the [Jupyter Notebook](human_detector.ipynb).\n1. The Steps, details and guidelines can be found in comments.\n\n\n## Output\n\n- Using Images \n\n![](asset/output_img.PNG)\n\n- Using Video\n\n![](asset/output_video.gif)\n\n\n## Disclaimer\n- I have used the most basic SVM Histogram, as it is simple to implement.\n- Accuracy is not the Aim\n- The Script is as simple as it can be\n\n\n## Author(s)  \n\nMade by [Vybhav Chaturvedi](https://www.linkedin.com/in/vybhav-chaturvedi-0ba82614a/)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvybhav72954%2Fhuman_detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvybhav72954%2Fhuman_detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvybhav72954%2Fhuman_detector/lists"}