Search Results for "detect"
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Showing 8 open source projects for "detect"
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Video-subtitle-extractor
A GUI tool for extracting hard-coded subtitle (hardsub) from videos
Video hard subtitle extraction, generate srt file. There is no need to apply for a third-party API, and text recognition can be implemented locally. A deep learning-based video subtitle extraction framework, including subtitle region detection and subtitle content extraction. A GUI tool for extracting hard-coded subtitles (hardsub) from videos and generating srt files. Use local OCR recognition, no need to set up and call any API, and do not need to access online OCR services such as Baidu... -
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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. ... -
3
WebCam_Streamer
Stream your laptop or external webcam over LAN or Wi-Fi hotspot.
WebCam Streamer is a professional, lightweight application that lets you stream your laptop or external webcams in real-time. Stream over a local network (LAN) or create a temporary Wi-Fi hotspot for direct access without complex setup. Features a modern, resizable dark-themed GUI with a dropdown to select any connected camera, live status display, and QR code for instant browser access. Supports multiple webcams, switching between them seamlessly, and keeps streaming simple with start/stop... -
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Phantom Player
Smart video player and playlist manager.
Phantom Player offers a range of practical features, making it easy to play, organize, and manage videos from your hard drive. Whether you're watching individual videos or managing playlists, it provides a seamless experience. + Play Single Videos + Create Playlists from Torrents + Organize Videos on a Hard Drive -
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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. -
6
chrome-cut-cli
command line tool to scan, detect, stream and control chrome cast
Basic command line tool to async scan, detect, stream and control chrome cast devices. Great for pranking someone with a chrome cast device in your local network. Plus there is a GUI version here. https://sourceforge.net/projects/chrome-cut/ -
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Chrome-Cut
Python3 tool to scan, detect and control chromecast devices
Basic GUI, CLI tool programmed in Python 3.4 and QT5. It gives you the ability to detect, scan and send some useful HTTP requests "Commands" to endless amount of chromecast devices. As well as the ability to loop the commands so the process of repeating it will be automated with a set duration in-which the looping will be done. -
8
pyShotDetect
(Auto-)Detect Video Scene Changes, output an edit list
Update Node: R3 incorporates a variety of UI improvements and standard timecode export. Given a .dv file automatically detect scene changes within that file (best performance on cuts and fade through/to black). Write a .kino file with each of the scenes for post-processing. Dependencies: (Python) openCV matplotlib Tkinter
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