face_detection | Haar Feature-based Cascade Classifiers

by DewMaple Python Version: Current License: No License

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

kandi X-RAY | face_detection Summary

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

This is a demo in usage of Haar Feature-based Cascade Classifiers.

Support

Quality

Security

License

Reuse

Support

face_detection has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of face_detection is current.

Quality

face_detection has no bugs reported.

Security

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

License

face_detection 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

face_detection 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, examples and code snippets are available.

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face_detection Key Features

No Key Features are available at this moment for face_detection.

face_detection Examples and Code Snippets

No Code Snippets are available at this moment for face_detection.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install face_detection

You'd better to use a virtual env and run:.

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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