VisionFrameAnalyzer 📹🖼️

Extract frames from videos and analyze them using AI-powered image recognition.

🚀 Overview

VisionFrameAnalyzer is a Go-based tool that:
✅ Extracts frames from a video at set intervals using ffmpeg
✅ Uses an AI-powered vision model to analyze and describe each frame
✅ Provides a structured pipeline for video-to-image processing

✨ Features

• 🎞 Frame Extraction – Converts video frames into images
• 🖼 AI-Powered Analysis – Describes each frame using an LLM vision model
• ⚡ Multi-Frame Processing – Handles multiple frames efficiently
• 📝 Detailed Logging – Provides structured logs for debugging

🛠 Tech Stack

• Go (Golang)
• FFmpeg (Frame Extraction)
• Ollama (LLM-powered image analysis)
• Slog + Tint (Logging)
• Kubernetes Ready (Optional Multi-Cluster Support)

📦 Installation & Setup

1️⃣ Install Dependencies

MacOS (Homebrew)

brew install ffmpeg
go mod tidy

##2️⃣ Run the Analysis

go run main.go --video path/to/video.mp4 --output output_frames

🛠 Usage Example

go run main.go --video input.mp4 --output frames

📌 Use Cases

📽️ Automated Video Analysis – Extract insights from video feeds 🔍 Content Moderation – Detect and describe images in video content 🛠 Machine Learning Pipelines – Pre-process video datasets for AI models

📜 License

MIT License. See LICENSE for details.