DeepAnpr | 基于TensorFlow实现的简易的车牌识别系统

by ViatorSun Python Version: Current License: Apache-2.0

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

kandi X-RAY | DeepAnpr Summary

DeepAnpr is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. DeepAnpr has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However DeepAnpr build file is not available. You can download it from GitHub.

基于TensorFlow实现的简易的车牌识别系统

Support

Quality

Security

License

Reuse

Support

DeepAnpr has a low active ecosystem.

It has 22 star(s) with 16 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

DeepAnpr has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DeepAnpr is current.

Quality

DeepAnpr has no bugs reported.

Security

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

License

DeepAnpr 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

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

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

Train the model .
Detect the number plate for a given image .
Make an Affine transform
Extract background images .
Create convolutional layers .
Generate a plate .
Get training model .
Get detect model .
Generate an image .
Create a multiprocessing process .

Get all kandi verified functions for this library.

DeepAnpr Key Features

No Key Features are available at this moment for DeepAnpr.

DeepAnpr Examples and Code Snippets

No Code Snippets are available at this moment for DeepAnpr.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install DeepAnpr

You can download it from GitHub.
You can use DeepAnpr 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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