A project to demonstrate an approach to designing cross-language and distributed pipeline in deep learning/machine learning domain, using WebRTC and Redis Streams.
-
Updated
Sep 18, 2024 - Go
A project to demonstrate an approach to designing cross-language and distributed pipeline in deep learning/machine learning domain, using WebRTC and Redis Streams.
This repo presents a demo application for realtime livestream video quality monitoring using AWS serverless and AI/ML services.
Video restoration Processing Pipeline
Python library and cli tool to identify and extract key-frames from videos based on motion, quality and differential signals
A toolkit for detecting and tracking crabs in the field.
Video Processing API
Free AI-powered tool to remove text from video online. Automatically eliminate subtitles, captions, text overlays, and text watermarks from videos. Fast, secure, and maintains HD quality. Perfect for content creators, editors, and marketers. No software installation needed.
DeepSea-AI is a Python package to simplify processing deep sea video in AWS https://aws.amazon.com from a command line.
Projeto de Processamento Digital de Imagem para criar um sabre de luz no lugar de um cabo de vassoura.
Local-first AI pipeline for turning long podcasts into human-reviewed vertical clips using Airflow, LangGraph, Gemini, Whisper, Pyannote and FFmpeg.
AI-powered video atomization tool that automatically generates transcripts, detects key moments, and creates multi-format clips (16:9 & 9:16) using Groq Whisper and OpenRouter GPT
Tracking Geographic Coordinates
TUI based whisper + AI agent call video subtitles generator [multi-langual]
Real-time object detection pipeline with YOLOv5 and OpenCV
Enterprise-grade video processing API with AI-powered captioning, dynamic word-by-word effects with color coding and animations, Whisper transcription, multi-pipeline support, Cloudinary CDN upload, Docker deployment, and async processing.
Add a description, image, and links to the video-processing-pipeline topic page so that developers can more easily learn about it.
To associate your repository with the video-processing-pipeline topic, visit your repo's landing page and select "manage topics."