haze_removal | single-image haze removal prototype | Computer Vision library

by rabauke Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | haze_removal Summary

haze_removal is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. haze_removal has no bugs, it has no vulnerabilities, it has build file available and it has low support. However haze_removal has a Non-SPDX License. You can download it from GitHub.

This is a prototype implementation of automatic single-image haze removal as described by K. He et al. in. See also comments in dehaze.py and articles on Single Image Haze Removal and Guided Image Filtering.

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Quality

Security

License

Reuse

Support

haze_removal has a low active ecosystem.

It has 6 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

haze_removal has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of haze_removal is current.

Quality

haze_removal has 0 bugs and 0 code smells.

Security

haze_removal has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

haze_removal code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

haze_removal has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

haze_removal releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

It has 79 lines of code, 0 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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haze_removal Key Features

No Key Features are available at this moment for haze_removal.

haze_removal Examples and Code Snippets

No Code Snippets are available at this moment for haze_removal.

Community Discussions

Trending Discussions on haze_removal

How debug dynamic library in such situation

QUESTION

How debug dynamic library in such situation

Asked 2017-Apr-06 at 11:25

Well, I am new to CMake. I have the following file structure

...

ANSWER

Answered 2017-Apr-06 at 11:25

Well, I find that why I can't step in the dynamic library even though I set CMAKE_BUILD_TYPE=Debug. Because before I set the build model to Debug I used to set CMAKE_BUILD_TYPE=Release. After I change the build model, I didn't delete the files in the build directory.

I don't know whether the above explanation is right or not, but I do solve my problem.

Thx!

Source https://stackoverflow.com/questions/43222392

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install haze_removal

You can download it from GitHub.
You can use haze_removal 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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