Keras-SRGAN | Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in | Machine Learning library

by deepak112 Python Version: Current License: No License

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kandi X-RAY | Keras-SRGAN Summary

Keras-SRGAN is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Generative adversarial networks applications. Keras-SRGAN has no bugs, it has no vulnerabilities and it has low support. However Keras-SRGAN build file is not available. You can download it from GitHub.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

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Security

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Support

Keras-SRGAN has a low active ecosystem.

It has 268 star(s) with 150 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 22 open issues and 21 have been closed. On average issues are closed in 18 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Keras-SRGAN is current.

Quality

Keras-SRGAN has 0 bugs and 0 code smells.

Security

Keras-SRGAN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Keras-SRGAN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Keras-SRGAN 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

Keras-SRGAN releases are not available. You will need to build from source code and install.

Keras-SRGAN 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.

Keras-SRGAN saves you 248 person hours of effort in developing the same functionality from scratch.

It has 604 lines of code, 54 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Resize images
Normalize the image
Load training data
Denormalize an array
Get Adam optimizer
Convert images
Recursively load all files in path
Builds a GAN network
Loads images from specified directories
Plot generated images
Generates a generator for the model
Res block generator
Setup up a convolution block
Construct the discriminator layer
A convolutional discriminator
Load data from a directory
Convert images to images

Get all kandi verified functions for this library.

Keras-SRGAN Key Features

No Key Features are available at this moment for Keras-SRGAN.

Keras-SRGAN Examples and Code Snippets

No Code Snippets are available at this moment for Keras-SRGAN.

Community Discussions

Trending Discussions on Keras-SRGAN

Error: All inputs to the layer should be tensors- when trying to use VGG19 model

Bicubic block in Keras model

QUESTION

Error: All inputs to the layer should be tensors- when trying to use VGG19 model

Asked 2021-Dec-09 at 07:08

While trying to import VGG19 model, the code below generates an error of non tensor inputs. Although I am following another this code snippet here.

Code:

...

ANSWER

Answered 2021-Dec-02 at 16:49

Maybe try converting your images to tensors:

Source https://stackoverflow.com/questions/70202638

QUESTION

Bicubic block in Keras model

Asked 2021-Nov-01 at 01:37

While working with the code of SRGAN, I wanted to replace UpSampling2D by tf.image.resize_bicubic. I used keras lambda layer for this function, as below

...

ANSWER

Answered 2021-Nov-01 at 01:37

here is a one liner solution.

Source https://stackoverflow.com/questions/69785637

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

Vulnerabilities

No vulnerabilities reported

Install Keras-SRGAN

You can download it from GitHub.
You can use Keras-SRGAN 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.