×ば぀ realtime performance on 8-core CPUs βš™οΈ Flexible CLI Interface: python video_contact_sheet.py input.mp4 --max-frames 16 --cols 4 --scene-thresh 0.3 --threads 8 πŸ“Š Rich Output: JPEG contact sheets with metadata footer showing duration, resolution, and codec information Implementation Details Location: advanced_tools/video_contact_sheet/ Dependencies: OpenCV, NumPy, Pillow (specified in requirements.txt) Scene Detection: HSV color space histogram correlation analysis Grid Layout: Configurable columns with automatic row calculation Metadata Extraction: Video properties using OpenCV VideoCapture Testing Comprehensive test suite with 9 tests covering: Auto-generated sample videos with distinct color scenes Scene detection algorithm validation Contact sheet generation and layout CLI argument handling and error cases End-to-end integration workflows All tests pass with 100% success rate using pytest. Use Cases Fast visual QA for large video datasets Course content review and cataloging Surveillance footage summarization Video collection organization Content moderation workflows Example Usage # Basic usage python video_contact_sheet.py lecture_video.mp4 # Advanced configuration python video_contact_sheet.py surveillance.mp4 \ --output security_overview.jpg \ --max-frames 20 \ --cols 5 \ --scene-thresh 0.4 \ --threads 8 The tool fills a gap in the repository by providing multimedia summarization capabilities not covered by existing scripts. Fixes #425. πŸ’‘ You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.">
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Add video_contact_sheet – automated key-frame contact sheets #470

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Copilot committed Jul 21, 2025
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