CycleGAN-Keras | Keras implementation of CycleGAN | Machine Learning library

by simontomaskarlsson Python Version: Current License: GPL-3.0

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

kandi X-RAY | CycleGAN-Keras Summary

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

Keras implementation of CycleGAN using a tensorflow backend.

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Quality

Security

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Support

CycleGAN-Keras has a low active ecosystem.

It has 163 star(s) with 58 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 16 open issues and 19 have been closed. On average issues are closed in 10 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of CycleGAN-Keras is current.

Quality

CycleGAN-Keras has 0 bugs and 0 code smells.

Security

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

CycleGAN-Keras code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

CycleGAN-Keras is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

CycleGAN-Keras 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.

CycleGAN-Keras saves you 349 person hours of effort in developing the same functionality from scratch.

It has 835 lines of code, 41 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Train the discriminator
Saves training images
Print the ETA
Calculates the decay rate of the optimizer
Generate model generator
A convolutional layer
Kernel function
Compute Conv2D
Generate a model for a multi - scale discriminator
Create a discriminator layer
Computes the ck kernel
Loads synthetic images
Load model and weights
Plots the result from a csv file
Lowpass filter
Loads the dataset
Create image array from list of images
Train the model

Get all kandi verified functions for this library.

CycleGAN-Keras Key Features

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

CycleGAN-Keras Examples and Code Snippets

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

Community Discussions

Trending Discussions on CycleGAN-Keras

Keras Architecture is not the same for the saved and loaded model

QUESTION

Keras Architecture is not the same for the saved and loaded model

Asked 2019-Oct-22 at 16:27

I am currently looking into CycleGAN and im using simontomaskarlssons github repository as my baseline. My problem arises when the training is done and I want to use the saved model to generate new samples. Here the model architecture for the loaded model are different from the initialized generator. The direct link for the saveModel function is here.

When I initialize the generator that does the translation from domain A to B the summary looks like the following (line in github). This is as expected since my input image is (140,140,1) and I am expecting an output image as (140,140,1):

...

ANSWER

Answered 2019-Oct-22 at 16:27

When you persist your architecture using model.to_json, the method get_config is called so that the layer attributes are saved as well. As you are using a custom class without that method, the default value for padding is being used when you call model_from_json.

Using the following code for ReflectionPadding2D should solve your problem, just run the training step again and reload the model.

Source https://stackoverflow.com/questions/58488303

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

Vulnerabilities

No vulnerabilities reported

Install CycleGAN-Keras

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