CloudRemoval | 使用卷积神经网络与对抗生成网络,输入有云层遮挡的卫星图片,将云层去除 并 恢复地面。
kandi X-RAY | CloudRemoval Summary
kandi X-RAY | CloudRemoval Summary
CloudRemoval is a Python library. CloudRemoval has no bugs, it has no vulnerabilities and it has low support. However CloudRemoval build file is not available. You can download it from GitHub.
使用卷积神经网络与对抗生成网络,输入有云层遮挡的卫星图片,将云层去除 并 恢复地面。 经过研究与分析,我认为这个任务应该分解为多个子任务:. 然而,在后期实践中我发现:使用经过小修改的U_net 可以直接在提取云层的同时,得到去雾后的地面图片,方案简化如下: | 子任务 | 解决方案 | 对应代码 | | -------------------- | --------- | ----------- | | 提取云层,图片去雾 | 使用U-net | mod_mend.py | | 修补被完全遮盖的地面 | 使用DCGAN | mod_GAN.py |.
使用卷积神经网络与对抗生成网络,输入有云层遮挡的卫星图片,将云层去除 并 恢复地面。 经过研究与分析,我认为这个任务应该分解为多个子任务:. 然而,在后期实践中我发现:使用经过小修改的U_net 可以直接在提取云层的同时,得到去雾后的地面图片,方案简化如下: | 子任务 | 解决方案 | 对应代码 | | -------------------- | --------- | ----------- | | 提取云层,图片去雾 | 使用U-net | mod_mend.py | | 修补被完全遮盖的地面 | 使用DCGAN | mod_GAN.py |.
Support
Quality
Security
License
Reuse
Support
CloudRemoval has a low active ecosystem.
It has 17 star(s) with 4 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 1 have been closed. On average issues are closed in 71 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of CloudRemoval is current.
Quality
CloudRemoval has 0 bugs and 0 code smells.
Security
CloudRemoval has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
CloudRemoval code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
CloudRemoval does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
CloudRemoval releases are not available. You will need to build from source code and install.
CloudRemoval has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
CloudRemoval saves you 2736 person hours of effort in developing the same functionality from scratch.
It has 5926 lines of code, 285 functions and 34 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed CloudRemoval and discovered the below as its top functions. This is intended to give you an instant insight into CloudRemoval implemented functionality, and help decide if they suit your requirements.
- Process training .
- Get feed queue .
- Run evaluation .
- run the cloud removal
- Auto encoder .
- Cloud detection .
- Initialize training .
- Performs cloud removal .
- detect cloud detection
- Process the feed .
Get all kandi verified functions for this library.
CloudRemoval Key Features
No Key Features are available at this moment for CloudRemoval.
CloudRemoval Examples and Code Snippets
No Code Snippets are available at this moment for CloudRemoval.
Community Discussions
No Community Discussions are available at this moment for CloudRemoval.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CloudRemoval
You can download it from GitHub.
You can use CloudRemoval like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use CloudRemoval like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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