MSA (Minimal Subset Approach for Informed Keyframe Sampling), published @ RA-L'25, presented @ ICRA'26
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Updated
Jan 9, 2026 - Python
MSA (Minimal Subset Approach for Informed Keyframe Sampling), published @ RA-L'25, presented @ ICRA'26
A Blender plugin that uses phone gyroscope data as keyframes
Let AI watch videos: local files or YouTube/Bilibili URLs -> timestamped transcript + keyframes + contact sheets. Offline, no API key. MCP server + CLI + agent skill.
Video2Image is a Python desktop GUI for extracting frames from single or multiple video files and saving them as images. It supports batch processing, key-frame extraction, scene detection, duplicate removal, and photogrammetry-friendly workflows.
Key Frame Proposal Network for Efficient Pose Estimation in Videos
Evidence-first video understanding skill for Codex: yt-dlp, Douyin SSR fallback, local whisper.cpp, keyframes, OCR, and grounded reports.
RunPod GPU render engine for Vivijure: SDXL keyframes, Wan image-to-video, LoRA training, ffmpeg assembly. Pairs with vivijure-cf or vivijure-local.
Resumable video keyframe summarization pipeline and timeline player
Detect timestamps and extract keyframes from any local video with FFmpeg - screen recordings, reels, camera footage, movies, YouTube downloads, or any file FFmpeg can read.
AI storyboard generator agent skill for Claude Code, Codex & OpenClaw: turn a script, scene, or ad brief into a practical shot list and a few storyboard key-frame images for film, ads, animation, and social video. AI分镜生成 · 分镜表
Python tool designed to extract unique static keyframes from videos, focusing on stable scenes rather than transitions. Built with OpenCV and NumPy.
A bunch of easing functions & a preview in matplotlib.
This is python implentaion of the key frame extraction technique described here:
Explainable, content-aware key-frame selection for image sequences
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