KGNet | Recognizing Printed Chinese Using Convolutional Neural

by KevinGong2013 Python Version: Current License: Apache-2.0

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

kandi X-RAY | KGNet Summary

KGNet is a Python library. KGNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However KGNet build file is not available. You can download it from GitHub.

Recognizing Printed Chinese Using Convolutional Neural Networks

Support

Quality

Security

License

Reuse

Support

KGNet has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 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 KGNet is current.

Quality

KGNet has no bugs reported.

Security

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

License

KGNet is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

KGNet releases are not available. You will need to build from source code and install.

KGNet has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Train the network
Generate the network
Generate example images
Generate an image
Test the classification

Get all kandi verified functions for this library.

KGNet Key Features

No Key Features are available at this moment for KGNet.

KGNet Examples and Code Snippets

No Code Snippets are available at this moment for KGNet.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install KGNet

You can download it from GitHub.
You can use KGNet 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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