Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
-
Updated
Jul 22, 2026 - Python
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
Open-source viral content pipeline — scout trends, analyze competitors, generate AI videos, auto-publish. AGPL-3.0.
Director Agent + vision critic + image, video, music & voice models - all on a single AMD Instinct MI300X.
A pipeline framework for developing video and image processing application. Supports multiple GPUs and Machine Learning tooklits
Open-source AI video pipeline. Text prompt → scenario → images → video clips → editor → MP4. Self-hosted, multi-provider, MCP-ready.
Hollywood-grade AI video production system: Multi-Agent orchestration, 25-field cinematic shot language, and automated filmmaking pipeline. Built for AI agents.
YOLO/RTSP/RTMP edge camera proof of concept with paid integration review support
AI-powered stickman animation video production pipeline - from script to YouTube. Uses Gemini, Imagen, edge-tts, ffmpeg. Slideshow mode costs ~.02/video.
AI assisted video editing pipeline | scene analysis, LLM edit planning, ffmpeg rendering, and YouTube publishing.
AI 数字人口播视频生产管线:声音克隆 TTS → 换口型/数字人驱动 → FFmpeg 去 AI 感,6 家云服务插拔编排
One prompt -> full narrated MP4. Fully local AI video pipeline using ComfyUI (SD 1.5), FFmpeg, and Windows TTS. No SaaS APIs.
CPRE488 MP2 - 1080p HDMI video pipeline for Zynq using Vivado/Vitis—TPG→VDMA with GenLock→VTC→HDMI, plus YUV422 luminance processing and FMC I²C bring-up
AI-powered speculative video content pipeline. Generates cinematic 'what if' matchup videos from concept to YouTube — research, script, voice, character-consistent video, publish. ~$1.43/video.
AI-powered automated video reel generator · Python pipeline · input to output
A self-hosted video processing pipeline — queue, transcode, store, deliver.
Local-first 2D comic to 2.5D motion-comic video workflow with Remotion, FFmpeg, QA gates, and a Codex skill
Perception receipts for AI video pipelines. Cross-writer bit-exact under default settings (SHA-256 stable across writers in any language). Zero runtime dependencies; pure stdlib core. ~1.1 KB per video; per-frame CRC32 + schema + versioning. Useful now, improving continuously.
Automated YouTube video production pipeline for Tertiary Courses — topic requests from a web form trigger a Hermes Agent webhook that researches, scripts, renders (Manim/HyperFrames), verifies, and publishes videos autonomously.
Audio-reactive lyric visualization pipeline with subtitle alignment, rendering, and release automation.
AI-driven vertical video pipeline — ElevenLabs STT + editorial subagent rough cut + Silero VAD + particle-burst Thai captions + AI B-roll, rendered with HyperFrames. Multi-template, v88.
Add a description, image, and links to the video-pipeline topic page so that developers can more easily learn about it.
To associate your repository with the video-pipeline topic, visit your repo's landing page and select "manage topics."