real-time-video-processing

Use OpenCV with any model of DJI Drones, you can gain access to the real-time camera feed of your drone. This allows for live streaming and analysis of the drone's field of view, providing valuable insights for various applications including aerial photography, surveying, and drone-based monitoring systems.

First open-source real-time face filter app using MediaPipe FaceMesh for high-performance, GPU-accelerated effects.

The YouTube Video Transcribe & Summarizer LLM app uses Google Gemini Pro to transcribe and summarize YouTube videos, providing concise, accurate content insights. It leverages advanced language models for real-time video processing and summarization.

Object detection with YOLO

A real-time, voice-controlled image and video processing assistant powered by Whisper, local LLM (LLaMA 3.1 via Ollama), and OpenCV for interactive spatial and frequency-domain computer vision operations.

ASCII nova transforms video content into ASCII art in real-time.

Phantom Portal is a Python computer vision project that uses webcam-based hand tracking to create interactive invisibility portals with real-time visual effects.

a project focused on processing video inputs to detect road lane lines and calculate vehicle speeds using computer vision techniques. It employs edge detection and Hough Transform methods for lane detection, and tracks vehicle speed by calculating the time taken to cross predefined strips on the road.

Read-time 2D object recognition using OpenCV (C++). Identifies a specified set of objects placed on a uniform surface in a translation, scale, and rotation invariant manner from a camera feed.

Web app for real-time audio/video recording with effects.

Mediapipe is a Python-based project that leverages the power of MediaPipe, OpenCV, and WebSockets to perform real-time video processing and hand tracking. This project is designed to process video frames, detect hand landmarks, classify hand types, and broadcast data using WebSockets for further processing or display.