Search Results for "data capture framework"
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Showing 9 open source projects for "data capture framework"
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VidGear
A High-performance cross-platform Video Processing Python framework
VidGear is a high-performance Python framework that provides a unified and extensible solution for building real-time video processing applications. It acts as an abstraction layer over powerful multimedia libraries such as OpenCV, FFmpeg, and ZeroMQ, simplifying complex workflows into concise and efficient APIs. The framework is built around modular components called “gears,” each responsible for tasks such as video capture, streaming, encoding, and network transmission. ... -
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DouK-Downloader
TikTok releases/likes/compilations/live streams/videos/atlases/music
DouK-Downloader is a fully open-source data acquisition and media downloading tool designed to extract, collect, and download content from TikTok and its Chinese counterpart Douyin at scale. Built using Python and modern asynchronous networking libraries such as HTTPX, it enables batch downloading of videos, images, live streams, and metadata from accounts, playlists, and individual links. The software goes beyond simple downloading by offering comprehensive data collection features,... -
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Web RPA
Web Robotics Process Automation Tool
Web RPA is a browser automation framework designed to perform robotic process automation tasks directly within web environments. It enables users to automate repetitive actions such as form filling, data extraction, and workflow execution through programmable scripts. The system focuses on simplicity and flexibility, allowing automation without requiring complex infrastructure. -
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Clipstitch
Uility to make home movies from your digital camera files
Full documentation: Download clipstitchX.Y.html To make movies from your camera (or phone) video files. FFmpeg is a professional-quality, free, open-source program for video editing, with the ability to implement a huge number of operations and handle every data format! This kind of ability comes at a cost: its commands are quite complex-looking and difficult to use and remember. Clipstitch runs as a front-end to ffmpeg so that you use only the sub-set of ffmpeg commands necessary... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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VSGAN
VapourSynth Single Image Super-Resolution Generative Adversarial
Single Image Super-Resolution Generative Adversarial Network (GAN) which uses the VapourSynth processing framework to handle input and output image data. Transform, Filter, or Enhance your input video, or the VSGAN result with VapourSynth, a Script-based NLE. You can chain models or re-run the model twice-over (or more). Have low VRAM? Don’t worry! The Network will be applied in quadrants of the image to reduce up-front VRAM usage. You can use any RGB video input, including float32 (e.g., RGBS) inputs. ... -
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ARPT-Bot
Tool designed to interact with streaming or media-related platforms
ARPT-Bot is an automation tool designed to interact with streaming or media-related platforms, providing automated recording, monitoring, or processing capabilities. It is built to handle repetitive tasks such as tracking live streams, managing content, or executing scripted workflows. The system typically integrates with multimedia tools like FFmpeg to process or capture streams efficiently. It emphasizes automation and reliability, enabling long-running tasks without manual intervention.... -
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NOTE: Project migrated to GitHub in Dec 2020! See https://github.com/Enselic/recordmydesktop recordMyDesktop is a program that captures audio-video data of a linux desktop session, producing an ogg-encapsulated theora-vorbis file. recordMyDesktop tries to be as unobstrusive as possible by proccessing only regions of the screen that have changed
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MMPython is a Media Meta Data retrieval framework. It retrieves metadata from mp3, ogg, avi, jpg, tiff and other file formats. Among others it thereby parses ID3v2, ID3v1, EXIF, IPTC and Vorbis data into an object oriented struture.
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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