{"id":26086729,"url":"https://github.com/mindscope-world/speed-estimation-using-ultralytics-yolo11","last_synced_at":"2025-07-01T02:37:05.454Z","repository":{"id":270261557,"uuid":"909725495","full_name":"mindscope-world/Speed-Estimation-using-Ultralytics-YOLO11","owner":"mindscope-world","description":null,"archived":false,"fork":false,"pushed_at":"2024-12-29T19:46:11.000Z","size":9255,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-09T07:18:10.017Z","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":"2024-12-29T15:46:23.000Z","updated_at":"2025-01-27T08:28:54.000Z","dependencies_parsed_at":"2024-12-29T20:36:42.628Z","dependency_job_id":null,"html_url":"https://github.com/mindscope-world/Speed-Estimation-using-Ultralytics-YOLO11","commit_stats":null,"previous_names":["mindscope-world/speed-estimation-using-ultralytics-yolo11"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mindscope-world/Speed-Estimation-using-Ultralytics-YOLO11","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mindscope-world%2FSpeed-Estimation-using-Ultralytics-YOLO11","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mindscope-world%2FSpeed-Estimation-using-Ultralytics-YOLO11/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mindscope-world%2FSpeed-Estimation-using-Ultralytics-YOLO11/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mindscope-world%2FSpeed-Estimation-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/Speed-Estimation-using-Ultralytics-YOLO11/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mindscope-world%2FSpeed-Estimation-using-Ultralytics-YOLO11/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262884232,"owners_count":23379357,"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","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":"2025-03-09T07:18:08.782Z","updated_at":"2025-07-01T02:37:05.379Z","avatar_url":"https://github.com/mindscope-world.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Speed Estimation App\n\nA Streamlit-based web application for real-time speed estimation in uploaded videos. Users can upload videos, view the real-time processing of each frame, and download the processed video once completed.\n\n## Features\n- Upload videos via the sidebar.\n- Real-time display of processed frames during video analysis.\n- Save the processed video in the output folder as `output/processed_video.avi`.\n- Display the final processed video after completion.\n\n## Prerequisites\nMake sure the following libraries are installed:\n- **Streamlit**: For building the user interface.\n- **OpenCV**: For video processing.\n- **Ultralytics**: For speed estimation using a pre-trained model.\n\nInstall the required libraries using pip:\n```bash\npip install streamlit opencv-python ultralytics\n```\n\n## Installation\n1. Clone this repository or download the source code.\n2. Navigate to the project directory:\n   ```bash\n   cd \u003cproject-directory\u003e\n   ```\n3. Install the dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n## Usage\n1. Save the code as `app.py` in the project directory.\n2. Run the Streamlit app:\n   ```bash\n   streamlit run app.py\n   ```\n3. Open the app in your browser using the URL provided by Streamlit (usually `http://localhost:8501`).\n\n## How It Works\n1. **Upload Video**: Use the sidebar to upload a video file (`.mp4`, `.avi`, `.mov`).\n2. **Real-Time Processing**: The app processes the video frame by frame, displaying each processed frame in real-time.\n3. **Save \u0026 Display**: The processed video is saved as `processed_video.avi` in the root directory and displayed in the app after processing.\n\n## File Structure\n```\n.\n├── app.py               # Main application file\n├── sample_videos/uploaded_video.mp4   # Temporarily stored uploaded video\n├── output/processed_video.avi  # Output video after processing\n├── requirements.txt     # Dependencies\n└── README.md            # Project documentation\n```\n\n## Requirements File (`requirements.txt`)\n```text\nstreamlit\nopencv-python\nultralytics\n```\n\n## Demo\n![App Screenshot](https://via.placeholder.com/800x400?text=Add+a+demo+image+or+GIF+here)\n\n## License\nThis project is licensed under the MIT License. See the `LICENSE` file for details.\n\n## Author\nDeveloped by Paul Ndirangu.\n\n## Acknowledgments\n- [Ultralytics](https://github.com/ultralytics) for the speed estimation model.\n- [Streamlit](https://streamlit.io/) for the easy-to-build web interface.\n- [OpenCV](https://opencv.org/) for efficient video processing.\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmindscope-world%2Fspeed-estimation-using-ultralytics-yolo11","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmindscope-world%2Fspeed-estimation-using-ultralytics-yolo11","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmindscope-world%2Fspeed-estimation-using-ultralytics-yolo11/lists"}