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.

Receiving video stream from multiple cameras (usb/ip) for further processing

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.

Video compression codec based on wavelets

Rendering live webcam feed with the python terminal with CV2, not optimised.

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.

OpenCV implementation of a real time road lane detection

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.

Video Annotation SaaS

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.

Python IEEE projects offer a wide range of possibilities. In Artificial Intelligence and Machine Learning, projects can include Deep Learning-based Image Classification using convolutional neural networks (CNN) in Python. Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

👁️ OmniView is an advanced video viewing and recording application that offers a range of features including real-time object detection and screenshot capturing. This project uses the OpenCV library for camera connection and video processing, ensuring smooth and high-quality video streams