simplest_idcard_recognizition | 身份证识别简易版

by novioleo Python Version: Current License: No License

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

kandi X-RAY | simplest_idcard_recognizition Summary

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

身份证识别简易版

Support

Quality

Security

License

Reuse

Support

simplest_idcard_recognizition has a low active ecosystem.

It has 37 star(s) with 7 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of simplest_idcard_recognizition is current.

Quality

simplest_idcard_recognizition has 0 bugs and 0 code smells.

Security

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

simplest_idcard_recognizition code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

simplest_idcard_recognizition 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

simplest_idcard_recognizition 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.

simplest_idcard_recognizition saves you 3247 person hours of effort in developing the same functionality from scratch.

It has 6977 lines of code, 166 functions and 42 files.

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

Top functions reviewed by kandi - BETA

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

Generate anchor layer
Transform boxes
Compute ground - truth labels for ground - truth
Unmap a numpy array
Generate proposal layer
Transform boxes to boxes
Calculate nms
Filter boxes based on given size
Add bbox regression targets
Detect the text localization of text
Return a network object
Recognize a text area
Setup tf
Load selective search roidb
Locate the CUDA library
Decorator to define a layer
Write VOC results file
Prepare training data
Train a network
Return the roidb dictionary
Evaluate accuracy
Return the ROID of the RPNB
Load configuration from file
Average pooling op
Return an instance of the Dataset
Return the image path at the given index

Get all kandi verified functions for this library.

simplest_idcard_recognizition Key Features

No Key Features are available at this moment for simplest_idcard_recognizition.

simplest_idcard_recognizition Examples and Code Snippets

No Code Snippets are available at this moment for simplest_idcard_recognizition.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install simplest_idcard_recognizition

You can download it from GitHub.
You can use simplest_idcard_recognizition 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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