real-time-face-recognition | time face detection and recognition | Computer Vision library

by iwantooxxoox Python Version: Current License: No License

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

kandi X-RAY | real-time-face-recognition Summary

real-time-face-recognition is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch, Tensorflow, OpenCV applications. real-time-face-recognition has no bugs, it has no vulnerabilities and it has low support. However real-time-face-recognition build file is not available. You can download it from GitHub.

Real-time face detection and recognition using deep learning

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Quality

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Support

real-time-face-recognition has a low active ecosystem.

It has 10 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

real-time-face-recognition has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of real-time-face-recognition is current.

Quality

real-time-face-recognition has no bugs reported.

Security

real-time-face-recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

real-time-face-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

real-time-face-recognition releases are not available. You will need to build from source code and install.

real-time-face-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.

Top functions reviewed by kandi - BETA

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

Bulk detect face detection .
Detect the face of the image .
Runs the detection .
Align an image .
Train the model .
Pad boxes to square
Convolution layer .
Calculates the distance between two features .
Read and augment image data .
Computes the NMS of the given boxes .

Get all kandi verified functions for this library.

real-time-face-recognition Key Features

No Key Features are available at this moment for real-time-face-recognition.

real-time-face-recognition Examples and Code Snippets

No Code Snippets are available at this moment for real-time-face-recognition.

Community Discussions

Trending Discussions on real-time-face-recognition

Error in "from keras.utils import to_categorical"

QUESTION

Error in "from keras.utils import to_categorical"

Asked 2021-Jun-04 at 00:33

I have probem with this code , why ?

the code :

...

ANSWER

Answered 2021-Apr-09 at 09:33

Use from tensorflow.keras. instead of from keras.

Source https://stackoverflow.com/questions/67018079

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

Vulnerabilities

No vulnerabilities reported

Install real-time-face-recognition

You can download it from GitHub.
You can use real-time-face-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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