scikit-video
CommunityProcess video data for scientific analysis.
Authortondevrel
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the complex task of working with video files in scientific research, enabling efficient processing, analysis, and quality assessment of video data.
Core Features & Use Cases
- Video I/O: Read and write video files using FFmpeg with a NumPy interface.
- Motion Estimation: Calculate motion vectors between frames for tracking movement.
- Video Quality Assessment: Measure video quality using metrics like PSNR and SSIM.
- Use Case: Analyze a series of scientific recordings to detect subtle motion changes or quantify the degradation of video quality after compression.
Quick Start
Use the scikit-video skill to read the first 100 frames from the video file 'experiment.mp4'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scikit-video Download link: https://github.com/tondevrel/scientific-agent-skills/archive/main.zip#scikit-video Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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