MC_OCR | Solution for MC_OCR competition

by ndcuong91 Python Version: Current License: No License

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

kandi X-RAY | MC_OCR Summary

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

Update 13 Dec 2021 : Cuộc thi chính thức đã kết thúc tuy nhiên các bạn vẫn có thể tải dataset và thử nghiệm các giải pháp cho cuộc thi tại

Support

Quality

Security

License

Reuse

Support

MC_OCR has a low active ecosystem.

It has 86 star(s) with 45 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 9 have been closed. On average issues are closed in 23 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MC_OCR is current.

Quality

MC_OCR has no bugs reported.

Security

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

License

MC_OCR 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

MC_OCR 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.

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MC_OCR Key Features

No Key Features are available at this moment for MC_OCR.

MC_OCR Examples and Code Snippets

No Code Snippets are available at this moment for MC_OCR.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MC_OCR

You can download it from GitHub.
You can use MC_OCR 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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