项目介绍

celestial-shubham/Image-Dehazing-Project 是一个托管在 GitHub 上的开源项目,主要使用 Jupyter Notebook 编写,采用 GNU General Public License v3.0 许可证,目前获得 3 个 Star、1 次 Fork。

仓库全名
celestial-shubham/Image-Dehazing-Project

README 摘要

Image-Dehazing-Project Haze degrades image quality and limits visibility especially in outdoor settings. This consequently affects performance on other high-level tasks such as object detection and recognition. The AOD network proposed by Boyi Li et. al. is an end-to-end CNN to de-haze an image. AOD takes as input a hazy image and generates a de-hazed image. Here i have implement the given paper AOD-net in…

完整内容见 GitHub 原始 README 或本页 。

常见问题

Image-Dehazing-Project 用什么语言开发?

主要使用 Jupyter Notebook 编写,采用 GNU General Public License v3.0 许可证,目前有 3 个 Star。

Image-Dehazing-Project 可以免费商用吗?

仓库标注的许可证为 GNU General Public License v3.0,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 Image-Dehazing-Project 的源码?

可以直接克隆仓库:git clone https://github.com/celestial-shubham/Image-Dehazing-Project.git,默认分支为 main;安装与运行步骤见仓库 README。

Image-Dehazing-Project 最近还在维护吗?

仓库最近一次更新为 2021年6月30日,当前没有未关闭的 Issue;Star 数为 3,可作为社区活跃度的参考。

关于

Haze degrades image quality and limits visibility especially in outdoor settings. This consequently affects performance on other high-level tasks such as object detection and recognition. The AOD network proposed by Boyi Li et. al. is an end-to-end CNN to de-haze an image. AOD takes as input a hazy image and generates a de-hazed image. Here i have implement the given paper AOD-net in Tensorflow.

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

简要分析

热度分
6
价值分
2
活跃状态
活跃

语言占比

Jupyter Notebook