{"id":25478329,"url":"https://github.com/konynour/facedectection","last_synced_at":"2026-04-12T15:54:36.291Z","repository":{"id":278130903,"uuid":"932829525","full_name":"konynour/faceDectection","owner":"konynour","description":"This project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. The system captures video from a camera, processes the frames, detects faces, and displays the results with bounding boxes and confidence scores. This application showcases the use of deep learning models for object detection","archived":false,"fork":false,"pushed_at":"2025-02-18T06:06:44.000Z","size":10873,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-18T04:12:40.776Z","etag":null,"topics":["cv2","jupyter-notebook","lambda-functions","matplotlib","numpy","opencv","python3"],"latest_commit_sha":null,"homepage":"","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/konynour.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":"2025-02-14T15:44:27.000Z","updated_at":"2025-02-18T06:09:30.000Z","dependencies_parsed_at":"2025-02-18T07:33:04.261Z","dependency_job_id":null,"html_url":"https://github.com/konynour/faceDectection","commit_stats":null,"previous_names":["konynour/facedectection"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/konynour/faceDectection","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/konynour%2FfaceDectection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/konynour%2FfaceDectection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/konynour%2FfaceDectection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/konynour%2FfaceDectection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/konynour","download_url":"https://codeload.github.com/konynour/faceDectection/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/konynour%2FfaceDectection/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266649176,"owners_count":23962181,"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","status":"online","status_checked_at":"2025-07-23T02:00:09.312Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"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":["cv2","jupyter-notebook","lambda-functions","matplotlib","numpy","opencv","python3"],"created_at":"2025-02-18T14:31:27.498Z","updated_at":"2026-04-12T15:54:36.232Z","avatar_url":"https://github.com/konynour.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Real-Time Face Detection using OpenCV and SSD\n\n## 📌 Overview\n\nThis project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. It captures video from a camera, detects faces, and displays the results with bounding boxes and confidence scores.\n\n## ⚠️ Disclaimer\n\n**This project is intended for educational purposes only. The author is not responsible for any misuse.**\n\n## 🚀 Features\n\n- Real-time face detection using a pre-trained SSD model.\n- Displays bounding boxes and confidence scores for detected faces.\n- Automatic download and extraction of required assets (if not already present).\n\n## 📂 Requirements\n\n- Python 3.x\n- OpenCV (`cv2`)\n- `requests` library for downloading assets\n\n## 🔧 Installation\n\n### 1. Clone the Repository\n```sh\ngit clone https://github.com/konynour/faceDectection.git\n```\n\n### 2. Navigate to the Project Folder\n```sh\ncd face-detection\n```\n\n### 3. Install Dependencies\n```sh\npip install opencv-python requests\n```\n\n## ⚙️ Usage\n\n### Downloading Assets\n\nThe script will automatically download and extract the required assets if they are not found in the current directory. These assets include a pre-trained SSD model and its configuration file.\n\n### Running the Script\n\nTo run the face detection script, execute the following command:\n\n```sh\npython 1.py\n```\n\nThis will open a window displaying the camera feed with detected faces highlighted by bounding boxes and confidence scores. \n\n- Press **ESC** to exit the application.\n\n### Command-Line Arguments\n\nYou can specify the camera source as a command-line argument. For example:\n\n```sh\npython 1.py 1\n```\n\nThis will use the second camera (index 1) instead of the default camera (index 0).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkonynour%2Ffacedectection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkonynour%2Ffacedectection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkonynour%2Ffacedectection/lists"}