Complete Installation Guide for Video Analytics Tools
Deploying the tool involves completing four key steps to configure the environment:
1. Code acquisition
First clone the official repository via Git:git clone https://github.com/byjlw/video-analyzer.git
cd video-analyzer
2. Virtual environment setup
Create a separate Python environment to avoid dependency conflicts:python3 -m venv .venv
source .venv/bin/activate # Linux/macOS
.venvScriptsactivate # Windows
3. Dependency installation
The following two installation methods are recommended:
Standard Installation::pip install .
Development mode installation(Code may be modified):pip install -e .
4. FFmpeg configuration
Make sure FFmpeg is installed on your system:
- Ubuntu/Debian:sudo apt install ffmpeg
- macOS:brew install ffmpeg
- Windows: Download the executable through the official website and add it to the PATH
point of attention: If GPU acceleration is used, additional configuration of CUDA environment is required; at least 16GB of RAM is recommended for processing 4K video.
This answer comes from the articleVideo Analyzer: analyzes video content and generates detailed descriptionsThe
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