video-analyzer
V
Video Analyzer
Overview :
The video-analyzer is a video analysis tool that integrates Llama's 11B visual model and OpenAI's Whisper model. It captures key frames, inputs them into the visual model for detail extraction, and combines insights from each frame with available transcription to describe events occurring in the video. This tool represents a fusion of computer vision, audio transcription, and natural language processing, capable of generating detailed descriptions of video content. Its key advantages include complete local operation without the need for cloud services or API keys, intelligent key frame extraction from videos, high-quality audio transcription using OpenAI's Whisper, frame analysis with Ollama and Llama3.2 11B visual model, and the ability to generate natural language descriptions of video content.
Target Users :
The target audience includes video content analysts, video editors, researchers, and anyone needing to extract detailed information from videos. This tool is suitable for them because it offers an automated way to analyze video content, saving manual analysis time and effort, while providing deeper insights than traditional methods.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 107.4K
Use Cases
Video content creators use video-analyzer to generate video summaries, enhancing content production efficiency.
Researchers utilize this tool to analyze video data for behavior pattern studies.
Educational institutions employ video-analyzer to create detailed descriptions of instructional videos, aiding visually impaired students in their learning.
Features
Completely local operation without cloud services or API keys
Utilizes OpenRouter's LLM services for enhanced speed and scalability
Intelligently extracts key frames from videos
High-quality audio transcription using OpenAI's Whisper
Frame analysis using Ollama and Llama3.2 11B visual model
Generates natural language descriptions of video content
Automatically processes poor-quality audio
Detailed JSON output of analysis results
Highly configurable through command-line parameters or configuration files
How to Use
1. Clone the repository: git clone https://github.com/byjlw/video-analyzer.git
2. Navigate to the project directory: cd video-analyzer
3. Create and activate a virtual environment: python3.11 -m venv .venv
4. Activate the virtual environment: source .venv/bin/activate (Windows users should use .venv\Scripts\activate)
5. Install packages: pip install . (for regular installation) or pip install -e . (for development installation)
6. Install FFmpeg: use the appropriate command based on your operating system to install FFmpeg
7. Install Ollama and pull the default visual model: ollama pull llama3.2-vision
8. Start the Ollama service: ollama serve
9. Use video-analyzer to analyze a video: video-analyzer path/to/video.mp4
10. (Optional) If using OpenRouter, obtain an API key and configure it for use
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