neural_style_synthesizer

by dwango Python Version: Current License: GPL-3.0

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

kandi X-RAY | neural_style_synthesizer Summary

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

neural_style_synthesizer

Support

Quality

Security

License

Reuse

Support

neural_style_synthesizer has a low active ecosystem.

It has 14 star(s) with 1 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of neural_style_synthesizer is current.

Quality

neural_style_synthesizer has 0 bugs and 0 code smells.

Security

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

neural_style_synthesizer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

neural_style_synthesizer 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

neural_style_synthesizer 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.

It has 660 lines of code, 32 functions and 14 files.

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

Top functions reviewed by kandi - BETA

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

Converts a debug image into subrects
Optimizes a texture feature
Convert layer to texture feature
Calculate the loss for each layer
Construct a feature from the given ratio
Compute the squared squared error between two functions
Convert a video
Convert debug data to LTSV format
Calculate texture loss
Convert an image to a single image
Calculate the texture loss
Convert an image into a texture
Calculate the squared error of a layer

Get all kandi verified functions for this library.

neural_style_synthesizer Key Features

No Key Features are available at this moment for neural_style_synthesizer.

neural_style_synthesizer Examples and Code Snippets

No Code Snippets are available at this moment for neural_style_synthesizer.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install neural_style_synthesizer

You can download it from GitHub.
You can use neural_style_synthesizer 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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