{"id":26157454,"url":"https://github.com/toolshive/forensi-frame","last_synced_at":"2026-04-16T06:03:00.230Z","repository":{"id":281574660,"uuid":"944835265","full_name":"ToolsHive/Forensi-Frame","owner":"ToolsHive","description":"Video Frame Extraction Too","archived":false,"fork":false,"pushed_at":"2025-03-10T01:34:02.000Z","size":1663,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-12-25T18:58:41.672Z","etag":null,"topics":[],"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/ToolsHive.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-03-08T04:06:01.000Z","updated_at":"2025-03-10T01:34:05.000Z","dependencies_parsed_at":"2025-03-10T19:45:37.024Z","dependency_job_id":null,"html_url":"https://github.com/ToolsHive/Forensi-Frame","commit_stats":null,"previous_names":["toolshive/forensi-frame"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ToolsHive/Forensi-Frame","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ToolsHive%2FForensi-Frame","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ToolsHive%2FForensi-Frame/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ToolsHive%2FForensi-Frame/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ToolsHive%2FForensi-Frame/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ToolsHive","download_url":"https://codeload.github.com/ToolsHive/Forensi-Frame/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ToolsHive%2FForensi-Frame/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31873607,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-15T15:24:51.572Z","status":"online","status_checked_at":"2026-04-16T02:00:06.042Z","response_time":69,"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":"2025-03-11T09:59:55.965Z","updated_at":"2026-04-16T06:03:00.224Z","avatar_url":"https://github.com/ToolsHive.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Video Frame Extractor 🎥\n\nA high-performance Python tool for extracting frames from video files with multi-threading support and rich visualization features.\n\n## 📑 Table of Contents\n\n- [Features](#-features)\n- [Process Flow](#-process-flow)\n- [Prerequisites](#-prerequisites)\n- [Virtual Environment Setup](#-virtual-environment-setup)\n- [Installation](#-installation)\n- [Usage](#-usage)\n  - [Command Line Interface](#command-line-interface)\n  - [Arguments](#arguments)\n  - [Jupyter Notebook](#jupyter-notebook)\n- [Output](#-output)\n- [Contributing](#-contributing)\n- [License](#-license)\n- [Acknowledgments](#-acknowledgments)\n\n## 🚀 Features\n\n- Multi-threaded frame extraction for optimal performance\n- Real-time progress tracking with Rich console\n- Detailed video metadata display\n- Cross-platform compatibility\n- Configurable thread count\n- Robust error handling\n- Jupyter Notebook integration support\n\n## 🔄 Process Flow\n\n![Flowchart](flowchart.png)\n\n## 📋 Prerequisites\n\n- Python 3.6 or higher\n- Required packages for CLI:\n  ```bash\n  pip install opencv-python rich\n  ```\n- Additional packages for Jupyter Notebook:\n  ```bash\n  pip install numpy matplotlib jupyter ipython\n  ```\n\n## 🔮 Virtual Environment Setup\n\n1. Create a virtual environment:\n   ```bash\n   python -m venv venv\n   ```\n\n2. Activate the virtual environment:\n   \n   Windows:\n   ```bash\n   .\\venv\\Scripts\\activate\n   ```\n   \n   Linux/Mac:\n   ```bash\n   source venv/bin/activate\n   ```\n\n3. Verify activation (you should see (venv) in your terminal):\n   ```bash\n   python --version\n   ```\n\n## 💻 Installation\n\n1. Clone or download this repository\n    ```bash\n    git clone https://github.com/ToolsHive/Forensi-Frame.git\n    ``` \n\n2. Install all dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n## 🔧 Usage\n\n### Command Line Interface\n\n```bash\npython script.py \u003cvideo_path\u003e \u003coutput_directory\u003e [--threads N]\n\n```\n### Example:\n\n```bash\npython script.py sample.mp4 frames --threads 8\n```\n\n### Arguments\n\n- `video_path`: Path to the input video file\n- `output_directory`: Directory where extracted frames will be saved\n- `--threads`: Number of threads to use (default: 4)\n\n### Jupyter Notebook\n\nYou can also use the provided Jupyter notebook `Video_Frame_Extractor.ipynb` for an interactive experience with additional visualization features.\n\n## 📊 Output\n\n- Frames are saved as sequential JPEG images\n- Naming format: `frame_XXXX.jpg`\n- Video metadata is displayed in a formatted table\n- Progress bar shows extraction status\n\n\n## 👥 Contributing\n\n1. Fork the repository\n2. Create feature branch (`git checkout -b feature/name`)\n3. Commit changes (`git commit -am 'Add feature'`)\n4. Push branch (`git push origin feature/name`)\n5. Create Pull Request\n\n## 📜 License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n\n## 🙏 Acknowledgments\n\n- OpenCV for video processing capabilities\n- Rich library for terminal visualization\n- Python's concurrent.futures for multi-threading support\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftoolshive%2Fforensi-frame","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftoolshive%2Fforensi-frame","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftoolshive%2Fforensi-frame/lists"}