Showing 2 open source projects for "detect"

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    AutoCrop-Vertical

    AutoCrop-Vertical

    Smart video converter using YOLOv8 and FFmpeg

    AutoCrop-Vertical is a Python-based video processing tool that automatically converts horizontal videos into vertical formats optimized for social media platforms. It uses computer vision techniques and AI models such as YOLOv8 to analyze each frame, detect subjects, and dynamically adjust cropping decisions. Instead of applying a static center crop, the system intelligently tracks people or key objects to preserve visual focus and composition. When cropping would degrade the scene, it can switch to alternative layouts such as letterboxing to maintain context. The tool integrates FFmpeg for encoding and rendering, ensuring efficient processing and compatibility with standard video workflows. ...
    Downloads: 0 This Week
    Last Update:
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    VidCutter

    VidCutter

    A modern yet simple multi-platform video cutter and joiner

    A modern, simple to use, constantly evolving and hella fast MEDIA CUTTER + JOINER w/ frame-accurate SmartCut technology, chapter support, media stream selection for audio + subtitle channels and blackdetect video filter support to automatically detect scene changes or skip commercials in digital TV recordings. Chapter support allows scene chapter names to be included in final media metadata. NOTE: results will only work in media players that support chapters. Flatpak release includes the latest stable versions of FFmpeg, libmpv, MediaInfo, and PyQt5 running on the KDE platform runtime.
    Downloads: 16 This Week
    Last Update:
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