viola-jones | python implementation of the Viola-Jones algorithm | Computer Vision library

by ZihengZZH Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | viola-jones Summary

viola-jones is a Python library typically used in Artificial Intelligence, Computer Vision, Tensorflow, OpenCV applications. viola-jones has no bugs, it has no vulnerabilities and it has low support. However viola-jones build file is not available. You can download it from GitHub.

python implementation of the Viola-Jones algorithm in rapid face detection

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viola-jones has a low active ecosystem.

It has 8 star(s) with 6 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of viola-jones is current.

Quality

viola-jones has 0 bugs and 0 code smells.

Security

viola-jones has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

viola-jones code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

viola-jones 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.

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viola-jones releases are not available. You will need to build from source code and install.

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

Learn a given set of features
Creates a list of feature features
Loads the votes
Save vote matrix
Train a cascade of classifiers
This function returns a list of misclassified images that are higher than the threshold
Count the confusion rate of a strong classifier
Vote for given list of integral images
Calculates ensemble vote based on given image
Calculate white score
Calculate the sum of two images
Calculates the vote for the given image
Calculates the integral image
Calculate the value of a pixel
Return the vote for a feature
Get integral image

Get all kandi verified functions for this library.

viola-jones Key Features

No Key Features are available at this moment for viola-jones.

viola-jones Examples and Code Snippets

No Code Snippets are available at this moment for viola-jones.

Community Discussions

Trending Discussions on viola-jones

How to use the CSRT Tracker correctly to track objects in OpenCV

QUESTION

How to use the CSRT Tracker correctly to track objects in OpenCV

Asked 2021-Jan-04 at 18:43

I've tried to use the CSRT tracker from OpenCv V4.5.1 to track faces inside video sequences, at the end of some videos I get this error which I can't understand why does it happen!

I'm using AVDIAR dataset
can you please advise me how to use the tracker correctly with Viola-Jones face detector?

Note: wen I used KCF Tracker things worked perfectly! tracker = cv2.TrackerKCF_create()

...

ANSWER

Answered 2021-Jan-04 at 18:43

The solution was to declare a tracker for each object, and initiate that tracker once as following:

Tracker Function

Source https://stackoverflow.com/questions/65545311

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

Vulnerabilities

No vulnerabilities reported

Install viola-jones

You can download it from GitHub.
You can use viola-jones 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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