Video Enhancement Tool / 视频增强工具

License / 许可: Original code authored by bennix: GPL-3.0-only. Upstream and third-party material retain their original terms and notices. See LICENSE and LICENSING.md for the current licensing scope.

This project provides a Python script for enhancing video quality using super-resolution techniques.

本项目提供了一个使用超分辨率技术来提高视频质量的Python脚本。

Features / 功能

• Upscales video resolution by 4x using ESPCN model

• Supports various video formats

• Automatic model download

• 使用ESPCN模型将视频分辨率提高4倍

• 支持多种视频格式

• 自动下载模型

Requirements / 依赖

• Python 3.6+
• OpenCV
• NumPy
• MoviePy

Installation / 安装

1. Clone this repository / 克隆此仓库

   git clone https://github.com/yourusername/video-enhancement-tool.git
   cd video-enhancement-tool
   

2. Install dependencies / 安装依赖

   pip install opencv-python numpy moviepy
   

Usage / 使用方法

1. Place your input video in the project directory / 将输入视频放在项目目录中 Make sure this filename is iput.mp4/ 确保文件名是input.mp4

2. Run the script / 运行脚本

   python videoenhance.py
   

3. The enhanced video will be saved as "enhanced_output.mp4" / 增强后的视频将保存为"enhanced_output.mp4"

How it works / 工作原理

The script uses the ESPCN (Efficient Sub-Pixel Convolutional Neural Network) model for super-resolution. It processes the video frame by frame, enhancing each frame's resolution before reconstructing the video.

该脚本使用ESPCN（高效亚像素卷积神经网络）模型进行超分辨率处理。它逐帧处理视频，在重建视频之前提高每一帧的分辨率。

License / 许可证

Original code authored by bennix is licensed under GPL-3.0-only

本项目中 bennix 原创代码采用 GPL-3.0-only

Acknowledgments / 致谢

• ESPCN model from TF-ESPCN

• OpenCV for image processing

• MoviePy for video handling

• ESPCN模型来自TF-ESPCN

• 使用OpenCV进行图像处理

• 使用MoviePy处理视频