deblur-gan | Keras implementation of DeblurGAN : Blind Motion | Machine Learning library

by RaphaelMeudec Python Version: Current License: No License

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

kandi X-RAY | deblur-gan Summary

deblur-gan is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Generative adversarial networks applications. deblur-gan has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This repository is a Keras implementation of Deblur GAN. You can find a tutorial on how it works on Medium. Below is a sample result (from left to right: sharp image, blurred image, deblurred image).

Support

Quality

Security

License

Reuse

Support

deblur-gan has a low active ecosystem.

It has 521 star(s) with 234 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

There are 35 open issues and 27 have been closed. On average issues are closed in 27 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of deblur-gan is current.

Quality

deblur-gan has 0 bugs and 0 code smells.

Security

deblur-gan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

deblur-gan code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

deblur-gan 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

deblur-gan 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.

deblur-gan saves you 177 person hours of effort in developing the same functionality from scratch.

It has 438 lines of code, 31 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Generate a convolutional model
Resnet block of input
Generate a discriminator model
Reorganizes gopro files
Create a model from a generator
Call spatial reference projection
Pad spatial reference
Wrapper for train_command
Trains the discriminator model
Construct a discriminator model
Construct a model from a generator
Calculate the 100 percent of the classification loss
Calculate the mean loss between two images
Run deblur command
Generate a generator for a model
This function deblur
Deprocessing an image

Get all kandi verified functions for this library.

deblur-gan Key Features

No Key Features are available at this moment for deblur-gan.

deblur-gan Examples and Code Snippets

No Code Snippets are available at this moment for deblur-gan.

Community Discussions

Trending Discussions on deblur-gan

ImportError: cannot import name 'normalize_data_format'

QUESTION

ImportError: cannot import name 'normalize_data_format'

Asked 2018-Nov-23 at 07:47

I have read an article Here and its pretty nice enough to understand. Given its implementation on GitHub. When I am trying to train at my own using given code it gives me an Import Error in this file at line 117 like following. I am using google Colab environment. Having some search over the error i got that the following line is compatible to keras version==2.2.2. I have also installed that yet not solved with the error. Please help me to get over it. By default keras version installed in colab is 2.2.4

...

ANSWER

Answered 2018-Nov-23 at 07:47

https://github.com/keras-team/keras/blob/master/keras/utils/conv_utils.py

master branch's conv_utils doesn't have normalize_data_format. some of the other branches do have it such as tf-keras branch. It is a trivial function here is its implementation:

Source https://stackoverflow.com/questions/53442190

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

Vulnerabilities

No vulnerabilities reported

Install deblur-gan

You can download it from GitHub.
You can use deblur-gan 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: