mxnet-cnn-plate-recognition | A project to recognize Chinese plate number

by huxiaoman7 Python Version: Current License: No License

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

kandi X-RAY | mxnet-cnn-plate-recognition Summary

mxnet-cnn-plate-recognition is a Python library. mxnet-cnn-plate-recognition has no bugs, it has no vulnerabilities and it has low support. However mxnet-cnn-plate-recognition build file is not available. You can download it from GitHub.

A project to recognize Chinese plate number

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Quality

Security

License

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Support

mxnet-cnn-plate-recognition has a low active ecosystem.

It has 187 star(s) with 86 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 4 have been closed. On average issues are closed in 206 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mxnet-cnn-plate-recognition is current.

Quality

mxnet-cnn-plate-recognition has 0 bugs and 110 code smells.

Security

mxnet-cnn-plate-recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mxnet-cnn-plate-recognition code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

mxnet-cnn-plate-recognition 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

mxnet-cnn-plate-recognition releases are not available. You will need to build from source code and install.

mxnet-cnn-plate-recognition 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.

mxnet-cnn-plate-recognition saves you 474 person hours of effort in developing the same functionality from scratch.

It has 1117 lines of code, 77 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Create list of images
List all images in a directory
Write image list to file
Read from the queue
Encode the image
Parse command line arguments

Get all kandi verified functions for this library.

mxnet-cnn-plate-recognition Key Features

No Key Features are available at this moment for mxnet-cnn-plate-recognition.

mxnet-cnn-plate-recognition Examples and Code Snippets

No Code Snippets are available at this moment for mxnet-cnn-plate-recognition.

Community Discussions

No Community Discussions are available at this moment for mxnet-cnn-plate-recognition.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install mxnet-cnn-plate-recognition

You can download it from GitHub.
You can use mxnet-cnn-plate-recognition 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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