{"id":26086734,"url":"https://github.com/mindscope-world/object-counting-using-ultralytics-yolo11","last_synced_at":"2026-04-27T05:31:40.255Z","repository":{"id":270738760,"uuid":"911106221","full_name":"mindscope-world/Object-Counting-using-Ultralytics-YOLO11","owner":"mindscope-world","description":null,"archived":false,"fork":false,"pushed_at":"2025-01-03T08:56:11.000Z","size":73757,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-09T07:18:09.905Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mindscope-world.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":"2025-01-02T09:00:06.000Z","updated_at":"2025-03-04T06:33:15.000Z","dependencies_parsed_at":"2025-01-02T19:40:14.095Z","dependency_job_id":null,"html_url":"https://github.com/mindscope-world/Object-Counting-using-Ultralytics-YOLO11","commit_stats":null,"previous_names":["mindscope-world/object-counting-using-ultralytics-yolo11"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mindscope-world/Object-Counting-using-Ultralytics-YOLO11","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mindscope-world%2FObject-Counting-using-Ultralytics-YOLO11","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mindscope-world%2FObject-Counting-using-Ultralytics-YOLO11/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mindscope-world%2FObject-Counting-using-Ultralytics-YOLO11/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mindscope-world%2FObject-Counting-using-Ultralytics-YOLO11/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mindscope-world","download_url":"https://codeload.github.com/mindscope-world/Object-Counting-using-Ultralytics-YOLO11/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mindscope-world%2FObject-Counting-using-Ultralytics-YOLO11/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32324544,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-26T23:26:28.701Z","status":"online","status_checked_at":"2026-04-27T02:00:06.769Z","response_time":128,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","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":[],"created_at":"2025-03-09T07:18:11.819Z","updated_at":"2026-04-27T05:31:35.246Z","avatar_url":"https://github.com/mindscope-world.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Object Counting with YOLO\n\nThis project leverages YOLO (You Only Look Once) for object detection and counting in video files. A user-friendly interface built with Streamlit enables easy video processing, region-based counting, and visualization of results.\n\n## Features\n\n- **File Upload**: Supports video uploads in formats like MP4, AVI, and MOV.\n- **Region Selection**: Enables selection of regions (Line, Rectangle, or Polygon) for object counting.\n- **Real-Time Processing**: Visualizes the processing progress as frames are analyzed.\n- **Output Playback**: Displays the processed video within the app.\n- **Downloadable Results**: Allows users to download the output video after processing.\n\n## Requirements\n\nEnsure the following dependencies are installed:\n\n- Python 3.7+\n- OpenCV\n- Streamlit\n- Ultranytics Solutions library\n\nInstall the required packages using:\n```bash\npip install opencv-python-headless streamlit ultralytics\n```\n\n## Getting Started\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/your-repository.git\n   cd your-repository\n   ```\n\n2. Run the Streamlit app:\n   ```bash\n   streamlit run app.py\n   ```\n\n3. Upload a video file, choose the region type, and start processing.\n\n## Usage\n\n1. **Upload a Video**: Use the sidebar to upload your video file.\n2. **Select Region Type**: Choose the region type for object counting:\n   - Line\n   - Rectangle\n   - Polygon\n3. **View Progress**: The app shows the real-time progress of video processing.\n4. **Playback and Download**: Once processed, the output video can be viewed or downloaded.\n\n## Project Structure\n\n- **`app.py`**: Main Streamlit application.\n- **`requirements.txt`**: List of dependencies.\n- **`outputs/`**: Directory for storing processed videos (auto-generated).\n\n## Example\n\n1. Upload a sample video file (e.g., `sample2.mp4`).\n2. Choose \"Rectangle\" as the region type.\n3. View the processed video directly in the app or download it for offline use.\n\n## Contributions\n\nContributions are welcome! Feel free to submit a pull request or open an issue to improve the project.\n\n## License\n\nThis project is licensed under the MIT License.\n\n## Acknowledgments\n\n- **YOLO Model**: For robust object detection.\n- **Streamlit**: For making interactive web apps easy to build.\n- **OpenCV**: For video processing and visualization.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmindscope-world%2Fobject-counting-using-ultralytics-yolo11","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmindscope-world%2Fobject-counting-using-ultralytics-yolo11","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmindscope-world%2Fobject-counting-using-ultralytics-yolo11/lists"}