Repository History
4 repositories tagged with Video Processing
scikit-video: Video Processing Routines for SciPy
scikit-video is a Python library designed for video processing, offering a suite of routines for tasks like I/O, quality metrics, and temporal filtering. Intended as a companion to scikit-image, it provides video-specific algorithms and aims for flexibility and GPU compute capabilities. This project offers a research-oriented alternative to existing frameworks, built entirely in Python.
vidgear: High-Performance Cross-Platform Video Processing Framework in Python
vidgear is a high-performance, cross-platform Python framework for advanced video processing. It provides a comprehensive, multi-threaded, and asyncio API for real-time video capture, writing, streaming, and network transfer. This framework simplifies complex media operations, enabling developers to build robust applications with ease.
EasyWhisperUI: A Cross-Platform Desktop App for Whisper Model Transcription
EasyWhisperUI is a fast, local desktop application designed for transcribing audio and video using the Whisper model. It offers GPU acceleration across Windows, macOS, and Linux, providing a user-friendly interface for various transcription tasks. The application supports features like live transcription, batch processing, and translation, making it a versatile tool for media processing.
YouTube Summarizer: AI-Powered Summaries for YouTube Videos and Playlists
YouTube Summarizer is a Flask web application designed to generate concise, AI-powered summaries of YouTube videos and entire playlists. It leverages advanced AI models like Google Gemini and OpenAI GPT, extracts transcripts, and can even convert summaries into audio using Google's Text-to-Speech API, offering a comprehensive tool for efficient content digestion.