FaceDetector | Face detection for your Android app | Computer Vision library

by RedApparat Java Version: 1.0.0 License: Apache-2.0

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

kandi X-RAY | FaceDetector Summary

FaceDetector is a Java library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. FaceDetector has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However FaceDetector build file is not available. You can download it from GitHub.

Want to detect human faces on a camera preview stream in real time? Well, you came to the right place.

Support

Quality

Security

License

Reuse

Support

FaceDetector has a medium active ecosystem.

It has 1143 star(s) with 197 fork(s). There are 40 watchers for this library.

It had no major release in the last 12 months.

There are 23 open issues and 19 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FaceDetector is 1.0.0

Quality

FaceDetector has 0 bugs and 0 code smells.

Security

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

FaceDetector code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FaceDetector is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

FaceDetector releases are available to install and integrate.

FaceDetector has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

FaceDetector saves you 930 person hours of effort in developing the same functionality from scratch.

It has 2121 lines of code, 54 functions and 23 files.

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

Top functions reviewed by kandi - BETA

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

Initializes the View
Creates a FotoappDetector
Switches to the current camera
Updates the rectangles
Detect faces in the main thread
Extracts asset file
Returns the extracted file
Extracts assets from internal storage
Called when the view is updated
Called when a result is granted
Requests camera permission
Sets the layout of all views
Returns the texture view in the given view
Find the camera view
Applies the stroke color
Start the fotoapp
Stops the camera
Draw the rectangle

Get all kandi verified functions for this library.

FaceDetector Key Features

No Key Features are available at this moment for FaceDetector.

FaceDetector Examples and Code Snippets

No Code Snippets are available at this moment for FaceDetector.

Community Discussions

Trending Discussions on FaceDetector

Xcode is not detecting library..Cannot find Firebase 'FaceDetectorOptions' in scope

Tensor Tensor("flatten/Reshape:0", shape=(?, 2622), dtype=float32) is not an element of this graph

react, how to call a function inside then block before initializing it or any proper way?

c# win app forms detect the number of faces on image and prompt error message if there is more than 1 face

Variable updating 4 times per function call

How to extract methods that call MLKit process(), outside of CameraX analyze()?

expo FaceDetector keep triggering "onFacesDetected" event in "accurate" mode even without face

IOS ML Kit face tracking does not work correctly

in android studio doing face detection using opencv. E/AndroidRuntime: FATAL EXCEPTION: main

ML Kit iOS Face Detection Bug

QUESTION

Xcode is not detecting library..Cannot find Firebase 'FaceDetectorOptions' in scope

Asked 2021-Jul-05 at 15:10

I am trying to use Firebase FaceDetector in my app but I am keep getting error = "Cannot find 'FaceDetectorOptions' in scope" ,seems like Xcode not able to detect FireBase "GoogleMLKit/FaceDetection" library even if I do Clean build Folder my app , restarting an app and updating my PodFile.....still I am getting this error

Here my Podfile

...

ANSWER

Answered 2021-Jul-05 at 15:10

Add

Source https://stackoverflow.com/questions/68258321

QUESTION

Tensor Tensor("flatten/Reshape:0", shape=(?, 2622), dtype=float32) is not an element of this graph

Asked 2021-May-24 at 09:55

Hello StackOverFlow Team: I built a model based on (Vgg_Face_Model) with weights loaded (vgg_face_weights.h5). Note that I use tensorflow-gpu = 2.1.0 , and keras=2.3.1 , with Anaconda 3 create it as interpreter and used with pycharm But the code shows an error in the part :

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ANSWER

Answered 2021-May-24 at 09:55

from tensorflow.python.keras.backend import set_session
sess = tf.Session()

#This is a global session and graph
graph = tf.get_default_graph()
set_session(sess)


#now where you are calling the model
global sess
global graph
with graph.as_default():
    set_session(sess)
    input_descriptor = [model.predict(face), img]

Source https://stackoverflow.com/questions/67659336

QUESTION

react, how to call a function inside then block before initializing it or any proper way?

Asked 2021-May-13 at 12:11

I've build an javascript function with face-api.js for my react component which will return/console me the width and height of face detector box. I tried console.log in few places it seems working fine till the models(face-recognition-model).

But when I write async function for face detector to detect face and console. It gives me error-

...

ANSWER

Answered 2021-May-13 at 12:11

You need to change the order of function declaration. You can not call const variables before they were declared.

Source https://stackoverflow.com/questions/67518994

QUESTION

c# win app forms detect the number of faces on image and prompt error message if there is more than 1 face

Asked 2021-Feb-05 at 06:20

I am currently doing an ID pic uploading system using C# Windows App Forms and I would like to allow the user to upload an image and the image must only contain 1 front face. To prevent user from uploading more than 1 face, I would like to prompt them an error message once the system detects more than one face in an image but I am not sure how to go about it. I used takuya takeuchi's dlibdotnet library.

Here is my current code.

...

ANSWER

Answered 2021-Feb-05 at 03:17

I'm not familiar with the library you're using, but if dets is a collection of detected face rectangles, you can probably use something like this:

Source https://stackoverflow.com/questions/66056910

QUESTION

Variable updating 4 times per function call

Asked 2021-Jan-30 at 13:06

I have the following code and the problem is that the variable numbOfBlinks is incremented by four each time. I'm assuming that the onUpdate method is being called 4 times per second. My goal is to count the number of times a user blinks. I'm not sure the best way to do it.

...

ANSWER

Answered 2021-Jan-30 at 12:52

If I understand your code correctly, you already have a way to detect opened and closed eyes. Provided that, I'd recommend you to add two methods to your class: onEyesClosed() and onEyesOpened(). Call them from your eye_tracking(Face face) method (both methods can be called many times in a row, that doesn't matter). Now, let's build "blink detection logic" based on there two methods:

Source https://stackoverflow.com/questions/65967850

QUESTION

How to extract methods that call MLKit process(), outside of CameraX analyze()?

Asked 2021-Jan-20 at 19:43

For code clarity and better reusability I'd like to have something like this

...

ANSWER

Answered 2021-Jan-20 at 19:43

I've found the culprit. I pasted the first code example wrong, with imageProxy.close() after the block called for addOnSuccessListener { }, but in reality it was always inside it. The current situation is

Source https://stackoverflow.com/questions/65813291

QUESTION

expo FaceDetector keep triggering "onFacesDetected" event in "accurate" mode even without face

Asked 2020-Nov-25 at 21:55

I'm new to react native. I'm using expo FaceDetector to detect faces. when I'm using it in "fast" mode it trigger "onFacesDetected" event correctly. But when I'm using "accurate" mode "onFacesDetected" event keep triggering (on "minDetectionInterval") (it suppose to trigger after detecting a face).

Is this a expo issue or my code is wrong ? Any help would be greatly appreciated. 1.below is fast mode code

...

ANSWER

Answered 2020-Nov-25 at 21:55

I think this may help. The problem is that onFacesDetected returns an object, not a boolean value.

Source https://stackoverflow.com/questions/64304247

QUESTION

IOS ML Kit face tracking does not work correctly

Asked 2020-Oct-29 at 13:03

The tracking Id of face detection is keeping change while the face is not moving, I use ML Kit in ios and I followed the documentation of google.

The documentation: https://developers.google.com/ml-kit/vision/face-detection/ios#performance_tips

Here is my code :

...

ANSWER

Answered 2020-Oct-29 at 13:03

The problem was the imageOrientation, I set the orientation to portrait only in Xcode but rotating the image-based on UIDeviceOrientation which is wrong, fixing it by setting the imageOrientation to be fixed at .up position.

Edit : Also, make sure you don't override the output image orientation like this:

Source https://stackoverflow.com/questions/64298760

QUESTION

in android studio doing face detection using opencv. E/AndroidRuntime: FATAL EXCEPTION: main

Asked 2020-Oct-14 at 17:04

I am doing face detection application using opencv.the app is installed in the phone but due to fatal error it get closed suddenly. this is my MainActivity.java

...

ANSWER

Answered 2020-Oct-14 at 17:04

Ciao,

I have two feelings about your code:

1 - in your onCreate activity you are missing a line as:

Source https://stackoverflow.com/questions/64354355

QUESTION

ML Kit iOS Face Detection Bug

Asked 2020-Oct-08 at 23:10

I've been trying to use the Google ML Face Detection iOS Library but there is an issue with it not working with the front facing camera, it is only able to detect the faces when I use the back camera on my phone. I printed out the orientation and everything matches between front and back. It seems to work with both front and back on my iPhone X but when I test it on iPhone 11's and iPhone X max's it only works with the back camera. I am not sure what is causing this inconsistency. The code I use is below, note that all images passed into the photoVerification function are run through the fixedOrientation function first to ensure consistency:

...

ANSWER

Answered 2020-Oct-08 at 23:10

The Google ML Kit Face Detection SDK in your post works for both front and back cameras on iPhone 11 (mine is running iOS 13.4 and I uses Xcode 11.6). You can check out the iOS Quickstart sample apps (in both Swift and Objective-C), which demonstrate how you can use both front and back cameras to take photos (or preview live videos) to do face detection (and other features):

https://github.com/googlesamples/mlkit/tree/master/ios/quickstarts/vision

Source https://stackoverflow.com/questions/64073903

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

Vulnerabilities

No vulnerabilities reported

Install FaceDetector

Add dependency to your build.gradle.

Support

Impressed? We are actually open for your projects. If you want some particular computer vision algorithm (document recognition, photo processing or more), drop us a line at fotoapparat.team@gmail.com.

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