FaceRecognition | Webcam face recognition | Computer Vision library

by habrman Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | FaceRecognition Summary

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

Webcam face recognition using tensorflow and opencv. The application tries to find faces in the webcam image and match them against images in an id folder using deep neural networks.

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Quality

Security

License

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Support

FaceRecognition has a low active ecosystem.

It has 197 star(s) with 96 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 18 have been closed. On average issues are closed in 31 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FaceRecognition is current.

Quality

FaceRecognition has 0 bugs and 0 code smells.

Security

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

FaceRecognition code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FaceRecognition is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

Setup the network
Compute the layer - wise layer
Feed a layer
Convolution layer
Detect the faces of the image
Calibrate bounding box
Generate a bounding box for a given image
Detect the image of a given image
Detect faces in images
Detect the faces in the image
Create TMNN layer
Loads tensors from data_path
Decorator to define a layer
Return a unique name for a given prefix
Setup the neural network
Find matching ids
Add new embedding
Load a model file

Get all kandi verified functions for this library.

FaceRecognition Key Features

No Key Features are available at this moment for FaceRecognition.

FaceRecognition Examples and Code Snippets

No Code Snippets are available at this moment for FaceRecognition.

Community Discussions

Trending Discussions on FaceRecognition

Value of state imported from custom hook not showing

TypeError: Cannot create initializer for non-floating point type . When running "train_tripletloss.py"

how to render multiple instances based on array data React

Unexpected token, expected ";" in reactjs

Use dependency from one project to another in the same solution

I'm trying to go make an app but keep getting the following error

Error with face-api - Error: toNetInput - expected media to be of type HTMLImageElement

Command not firing on current item

Integrating Native code with CameraX to Custom React Native Component Fails

Why do i get this parsing error on the render part?

QUESTION

Value of state imported from custom hook not showing

Asked 2022-Mar-10 at 01:32

I created a custom hook, Custom.js:

...

ANSWER

Answered 2022-Mar-09 at 23:39

try to put your return statement inside the .then of the predict

Source https://stackoverflow.com/questions/71417187

QUESTION

TypeError: Cannot create initializer for non-floating point type . When running "train_tripletloss.py"

Asked 2021-Apr-07 at 03:19

I am new at tensorflow and models training. I am using the face recognition algorithm based on yolo and facenet. i am now trying to train my own model. But i get an error everytime I do so. I would be very grateful to you if you help me solve it. Thank you in advance. here is the link to the code : https://github.com/AzureWoods/faceRecognition-yolo-facenet/blob/master/train_tripletloss.py

here is t the error:

...

ANSWER

Answered 2021-Apr-07 at 03:19

Try add image = tf.to_float(image) in train_tripleloss.py where the below screenshot indicates.

Source https://stackoverflow.com/questions/66737908

QUESTION

how to render multiple instances based on array data React

Asked 2021-Feb-18 at 12:16

I have an array with objects including different coordinates such as:

...

ANSWER

Answered 2021-Feb-18 at 11:53

You should try the map function and add an arg in the map function.

Source https://stackoverflow.com/questions/66258990

QUESTION

Unexpected token, expected ";" in reactjs

Asked 2021-Feb-04 at 03:11

After moving the project coding on Sublime to VSCode and adding some functions, I got thrown this syntax error with my code. Can anyone give me advice on how to fix it?

...

ANSWER

Answered 2021-Feb-04 at 03:11

There are a couple of issues with your code.

An unnecessary curly brace at the end of the calculaFace method.
An unnecessary function keyword before the render method.

Here's the fixed code.

Source https://stackoverflow.com/questions/66035217

QUESTION

Use dependency from one project to another in the same solution

Asked 2021-Jan-24 at 20:04

Is it a way of using a dependency from a project to another while they are in the same solution? For example:

...

ANSWER

Answered 2021-Jan-24 at 20:04

Use a project reference.

https://docs.microsoft.com/en-us/visualstudio/ide/managing-references-in-a-project?view=vs-2019

To test; create a new solution with two projects within it. Within one project, add a nuget package. Say, Newtonsoft.Json Add a project reference from your second project to the first

Dependencies should now look like so;

Now within TestConsoleApp, you can add using statements to access the nuget package used in TestConsoleApp2.

eg;

Source https://stackoverflow.com/questions/65874573

QUESTION

I'm trying to go make an app but keep getting the following error

Asked 2020-Nov-30 at 07:54

TypeError: Cannot read property 'setState' of undefined

This is my code, I saw another question with the same but it was for an earlier version of react and had classes and constructors initially this.setState was this.state but I changed it due to warnings from VS code

...

ANSWER

Answered 2020-Nov-30 at 07:54

I don't know exactly what you are trying to do.You are trying to update state in a functionnal component as it was a class based component.If you work with functions, the way to provide state is by import the useState hook.From what i've understood in what you're trying to do here is a code that is compatible with using state in functionnal components

Source https://stackoverflow.com/questions/65069575

QUESTION

Error with face-api - Error: toNetInput - expected media to be of type HTMLImageElement

Asked 2020-Nov-24 at 03:41

My name is Gabriel and I'm using face-api.js to apply FaceRecognition on my final essay, on my way to graduate.

With the objective of trying the face-api and understand how it works, I created the following test.js:

...

ANSWER

Answered 2020-Nov-24 at 03:41

I did post an Issue to github Face-API page, and there I was able to found a solution, so, if anyone would like to see it: https://github.com/justadudewhohacks/face-api.js/issues/729 Thanks for your time!

Source https://stackoverflow.com/questions/64885371

QUESTION

Command not firing on current item

Asked 2020-Oct-20 at 17:38

I have a CarouselView. The ItemsSource is binded to an ObservableCollection of type AlarmEvent. AlarmEvent is a base class for different types of alarm events (Generic, Fr, Vfr, Anpr). The ItemTemplate changes depending on the type of CurrentItem. This works.

Xaml:

...

ANSWER

Answered 2020-Oct-20 at 17:38

I am a silly bum for not realising this sooner, the fix was:

Instead of auto property like so -

Source https://stackoverflow.com/questions/64336576

QUESTION

Integrating Native code with CameraX to Custom React Native Component Fails

Asked 2020-Sep-28 at 10:30

Hello I have an app that used now deprecated Camera module in android for displaying the camera view and drawing filters onto it using mlkit face detection. Recently we've decided to upgrade it to CameraX, I did all the necessary steps to make it work as a separate android app and it works. When I want to incorporate it to our existing Custom React Native module no matter what I do, it doesn't show anything on the screen. I've checked the view sizes and they seem to be ok. Below is the code I use to start the camera module.

...

ANSWER

Answered 2020-Sep-28 at 10:30

The issue happens because the relative layout is not resized after being added to the scene. The workaround is not mine, but I could not find where it was from right now so I'll just leave it here in case someone else is having the similar issue. I solved the issue by calling the layoutHack in the constructor of my RelativeLayout

Source https://stackoverflow.com/questions/63896520

QUESTION

Why do i get this parsing error on the render part?

Asked 2020-Sep-18 at 08:52

Please help me with this, i don't understand what's wrong. I got this code and i have the following error:

Syntax error: Unexpected token, expected ";" It points to first curly bracket after render.

THIS IS THE CODE

...

ANSWER

Answered 2020-Sep-18 at 08:38

onButtonSubmit is missing }:

Source https://stackoverflow.com/questions/63951036

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

Vulnerabilities

No vulnerabilities reported

Install FaceRecognition

You can download it from GitHub.
You can use FaceRecognition 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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