EnhanceIMG | enhancement algorithms : low-light enhancement | Computer Vision library

by atomicoo Python Version: Current License: MIT

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

kandi X-RAY | EnhanceIMG Summary

EnhanceIMG is a Python library typically used in Artificial Intelligence, Computer Vision applications. EnhanceIMG 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.

Image-enhancement algorithms: low-light enhancement, image restoration, super-resolution reconstruction. 图像增强算法探索：低光增强、图像修复、超分辨率重建 ……

Support

Quality

Security

License

Reuse

Support

EnhanceIMG has a low active ecosystem.

It has 57 star(s) with 12 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of EnhanceIMG is current.

Quality

EnhanceIMG has no bugs reported.

Security

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

License

EnhanceIMG 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

EnhanceIMG 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed EnhanceIMG and discovered the below as its top functions. This is intended to give you an instant insight into EnhanceIMG implemented functionality, and help decide if they suit your requirements.

Train the network
Train the model
Forward a 3x3 image
Evaluate the model
Displays the current visualization
Convert Tensor to RGB image
Add images
Add html header
R Solve the suppression of a non - maximum magnitude
Interpolate 2d interpolation
Helper function to get noise
MSRCR image
Plot the current loss for a given epoch
Parse options
Small scale image
Saves visuals to images
Plot an image grid
Load the model
Attention function
Interpolate 2d array
R Determine the link of an edge
Define the discriminator network
Define the network
Get the derivative of the image
Perform automated SSRCR integration
Predict the model
Download data

Get all kandi verified functions for this library.

EnhanceIMG Key Features

No Key Features are available at this moment for EnhanceIMG.

EnhanceIMG Examples and Code Snippets

No Code Snippets are available at this moment for EnhanceIMG.

Community Discussions

Trending Discussions on EnhanceIMG

Auto enhance UIImageView with no rotation

QUESTION

Auto enhance UIImageView with no rotation

Asked 2019-Oct-16 at 17:07

I have been at this for two days now and hopefully, you can help me out. I am trying to auto-enhance an image from UIImageView. The following code is rotating and resizing images SOMETIMES and I'm having a hard time determining when or why. From the lack of posts on the topic, I feel like I must be missing something super simple. Thank you ALL!

...

ANSWER

Answered 2019-Oct-06 at 17:20

As you can see in docs, autoAdjustmentFilters got input options: [CIImageAutoAdjustmentOption : Any]? = nil

So you need to specify options (exclude level option) level is for orientation crop is for zooming

Source https://stackoverflow.com/questions/58258698

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

Vulnerabilities

No vulnerabilities reported

Install EnhanceIMG

You can download it from GitHub.
You can use EnhanceIMG 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 .

Find more information at: