dddd_trainer | ddddocr training tool

by sml2h3 Python Version: Current License: Apache-2.0

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

kandi X-RAY | dddd_trainer Summary

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

ddddocr training tool

Support

Quality

Security

License

Reuse

Support

dddd_trainer has a low active ecosystem.

It has 435 star(s) with 197 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 29 open issues and 1 have been closed. On average issues are closed in 77 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dddd_trainer is current.

Quality

dddd_trainer has no bugs reported.

Security

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

License

dddd_trainer 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

dddd_trainer 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.

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dddd_trainer Key Features

No Key Features are available at this moment for dddd_trainer.

dddd_trainer Examples and Code Snippets

No Code Snippets are available at this moment for dddd_trainer.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install dddd_trainer

You can download it from GitHub.
You can use dddd_trainer 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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