Image_Attendant | Helpful image manipulation function with Numpy and Python

by Who8MyLunch Python Version: Current License: MIT

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

kandi X-RAY | Image_Attendant Summary

Image_Attendant is a Python library. Image_Attendant has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A collection of image-processing functions that I use in many of my projects.

Support

Quality

Security

License

Reuse

Support

Image_Attendant has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Image_Attendant is current.

Quality

Image_Attendant has no bugs reported.

Security

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

License

Image_Attendant is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Image_Attendant 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.

Installation instructions, examples and code snippets are available.

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Image_Attendant Key Features

No Key Features are available at this moment for Image_Attendant.

Image_Attendant Examples and Code Snippets

No Code Snippets are available at this moment for Image_Attendant.

Community Discussions

No Community Discussions are available at this moment for Image_Attendant.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Image_Attendant

To install use pip:.

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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