Receiving video stream from multiple cameras (usb/ip) for further processing
-
Updated
Sep 8, 2025 - Python
Receiving video stream from multiple cameras (usb/ip) for further processing
DeepEraseKit is a universal Swift package for iOS and macOS that removes backgrounds in real time while capturing video. Powered by Apple's Vision framework, it supports multiple background options: none, blur, color, and image, making it ideal for virtual backgrounds and augmented reality applications.
BlockCopy (ICCV2021) implementation in PyTorch, accelerating neural networks with block-sparse execution
My implementation of Eulerian Video Magnification Algorithm
In this project, we present ways to improve reliability of proctoring by generating plots of each parameter measured during the online evaluation.
Research framework for foveated video coding.
I have successfully trained custom weights to detect pedestrians/Cars/Busses/motors...etc from drone video clips!
A Video Editor App in Jetpack Compose Under Development.
Invisiblity T-shirt using openCV
Seamless adaptive video streaming with HLS-based playback. Powered by Azure, Docker, and FFmpeg for scalable processing, secure cloud storage, and global delivery. Built with Next.js, Tailwind CSS, Node.js, and PostgreSQL for a modern UI, real-time updates, and exceptional performance.
A cross-platform video processing application being developed using wxWidgets and FFMPEG. It will enable users to easily automate the production of videos that follow a particular format.
This repository demonstrates how to combine Convolutional Neural Networks (CNNs) and Long-Short Term Memory (LSTM) networks to perform human action recognition on videos. By leveraging the strengths of both CNNs and LSTMs, we can effectively tackle complex computer vision problems such as video classification.
A lightweight video splitter and exporter to bypass file size limits in GitHu6 repositories or other storage systems.
PresentaPulse leverages the power of LivePortrait and Real-ESRGAN to create ultra-realistic animated portraits. Developed by Tarek Tarabichi from 2TInteractive, this tool integrates advanced AI models to enhance image quality and create stunning animations.
Rendering live webcam feed with the python terminal with CV2, not optimised.
SubgenAI is a command-line tool that uses OpenAI's Whisper model to transcribe video audio and generate SRT subtitles. It supports multiple models for varying speed/accuracy, optional translation to English, and provides progress tracking with timestamps. Simple to use and flexible for video-to-subtitle conversion.
OpenCV implementation of a real time road lane detection
Video Annotation SaaS
Add a description, image, and links to the videoprocessing topic page so that developers can more easily learn about it.
To associate your repository with the videoprocessing topic, visit your repo's landing page and select "manage topics."