UFGAN

项目简介

本项目使用 Unet 模型实现红外光和可见光图像的融合。该模型具有以下特点:

• 代码清晰易懂: 项目代码结构合理,注释详细,便于理解和修改。
• 容易上手: 提供详细的使用说明和示例,即使是初学者也能快速上手。
• 学习图像融合模型: 该项目适合作为学习图像融合模型的入门项目,可以帮助你了解模型的原理和实现。

功能特性

• 支持红外光和可见光图像的融合
• 采用 Unet 模型进行图像融合
• 提供可视化结果和评估指标

安装和使用

详细的安装和使用说明请参考 README 文件。

git clone https://github.com/drowning-in-codes/UFGAN.git
cd UFGAN
pip install -r requirements.txt

贡献和反馈

如果你对该项目有任何建议或反馈,欢迎提交 Issue 或 Pull Request。我会及时响应和处理。

UFGAN

GAN for Image Fusion which is inspired by FusionGAN and U-net Project Introduction This project focuses on using the Unet model to fuse infrared and visible light images. The model has the following features:

• Clear and understandable code: The project code has a reasonable structure and detailed comments, making it easy to understand and modify.
• Easy to use: Detailed usage instructions and examples are provided, allowing even beginners to get started quickly.
• Learn image fusion models: This project is suitable as an introductory project for learning image fusion models, helping you understand the principles and implementation of the models.

Key Features

• Support for fusion of infrared and visible light images
• Adopt the Unet model for image fusion
• Provide visualization of results and evaluation metrics
• Support running on both CPU and GPU

Installation and Usage

Please refer to the project README file for detailed installation and usage instructions.

git clone https://github.com/drowning-in-codes/UFGAN.git
cd UFGAN
pip install -r requirements.txt

Contribution and Feedback

If you have any suggestions or feedback for this project, feel free to submit an Issue or Pull Request. We will respond and handle them promptly.