face-detection | Face detection with OpenCV and JavaFX

by opencv-java Java Version: v1.0 License: No License

X-Ray Key Features Code Snippets(2)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | face-detection Summary

face-detection is a Java library typically used in User Interface, OpenCV, JavaFX applications. face-detection has no vulnerabilities and it has high support. However face-detection has 2 bugs and it build file is not available. You can download it from GitHub.

A project, made in Eclipse (Neon), for detecting human faces in a video taken from a webcam. It uses the Haar and LBP classifiers already available in the OpenCV library. Please, note that the project is an Eclipse project, made for teaching purposes. Before using it, you need to install the OpenCV library (version 3.x) and JavaFX 8) and create a User Library named opencv that links to the OpenCV jar and native libraries. A guide for getting started with OpenCV and Java is available at

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Quality

Security

License

Reuse

Support

face-detection has a highly active ecosystem.

It has 105 star(s) with 103 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 78 days. There are no pull requests.

It has a positive sentiment in the developer community.

The latest version of face-detection is v1.0

Quality

face-detection has 2 bugs (0 blocker, 2 critical, 0 major, 0 minor) and 3 code smells.

Security

face-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

face-detection code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

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 available to install and integrate.

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

face-detection saves you 1041928 person hours of effort in developing the same functionality from scratch.

It has 478651 lines of code, 10 functions and 28 files.

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

Top functions reviewed by kandi - BETA

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

Start the camera
Converts a mat object to a buffered image
Detect faces in the image
Grab a frame from the captured video stream
Stops the acquisition
Converts a Mat object to an Image
Sets the property on the JavaFX thread
Updates the ImageView
Starts the face detection
Initialize the controller
Stop the application
Called when a haar action is selected
Load the classifier selection
Launch the OpenCV library
Action triggered when the LBP is selected

Get all kandi verified functions for this library.

face-detection Key Features

No Key Features are available at this moment for face-detection.

face-detection Examples and Code Snippets

Runs face detection .

python

Lines of Code : 14

License : Permissive (MIT License)

Copy

def main(files):
    detector = dlib.get_frontal_face_detector()
    sp = dlib.shape_predictor(DAT_PATH)

    for file in files:
        img = cv2.imread(file, cv2.IMREAD_ANYCOLOR)
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

        faces = d

Get a capture image using the face detection

java

Lines of Code : 6

License : Permissive (MIT License)

Copy

public Image getCaptureWithFaceDetection() {
        Mat mat = new Mat();
        capture.read(mat);
        Mat haarClassifiedImg = detectFace(mat);
        return mat2Img(haarClassifiedImg);
    }

Community Discussions

Trending Discussions on face-detection

module 'cv2' has no attribute LBPHFaceRecognizer_create()

Why running flask app.run with gunicorn and uwsgi is problematic?

Mtcnn face-extractor for head extraction

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

google ml kit duplicate dependency

What does the 4D array returned by net.forward() in OpenCV DNN means? I have little knowledge about deep learning

How to save the image with the red bounding boxes on it detected by mtcnn?

Drawing a Box Around Face To Existed Photos with Google Face Detection ML Kit

Android CameraX use case binding failed

How to extract required data from CURL response inside codeigniter?

QUESTION

module 'cv2' has no attribute LBPHFaceRecognizer_create()

Asked 2022-Mar-01 at 22:18

I am trying to learn face detection and I got this code from GeeksforGeeks tutorial. However When I run one of the two files, it shows the error AttributeError: module 'cv2' has no attribute 'LBPHFaceRecognizer_create'. I tried uninstalling open cv, installing pip install opencv-contrib-python as well as reinstalling open cv and running it. I am currently running open cv2 4.5.5. The tutorial advised to remove the '.face' from cv2.face.LBPHFaceRecognizer_create() for running cv2, however when I run it with .face, it displays module 'cv2' has no attribute 'face'. Please, someone, help me with this

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ANSWER

Answered 2022-Mar-01 at 22:18

I think that you may need to explicitly state "cv2.face" not just "face..."

Source https://stackoverflow.com/questions/71313781

QUESTION

Why running flask app.run with gunicorn and uwsgi is problematic?

Asked 2022-Jan-05 at 16:43

There is an idea that indicates not to run flask app in production with gunicorn or uwsgi. Tiangolo has mentioned in one of his repositories that app.run should be used just for development, not deployment or production. Link to Tiangolo's comment on this topic His code is as follows:

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ANSWER

Answered 2022-Jan-05 at 13:07

After digging around with gunicorn library for a while, I noticed that gunicorn uses import.import_module to import the entrypoint module(The module that contains the app, in my case entry_point.py) and the codes under if __name__ == '__main__': won't be executed and it's pretty safe to put anything there. Link to import_app method in gunicorn library. This method is called from method load_wsgiapp link to load_wsgiapp inside the primary runner class WSGIApplication Link to WSGIApplication class.
As I noticed Tiangolo meant that using flask app directly for production is not safe because:

The flask application server is not developed or tested for production performance or security.

Answer from Justin Triplett(discord)

Source https://stackoverflow.com/questions/70588999

QUESTION

Mtcnn face-extractor for head extraction

Asked 2021-Dec-05 at 20:21

I'm using Mtcnn network (https://towardsdatascience.com/face-detection-using-mtcnn-a-guide-for-face-extraction-with-a-focus-on-speed-c6d59f82d49) to detect faces and heads. For this I'm using the classical lines code for face detection :I get the coordinate of the top-left corner of the bouding-box of the face (x,y) + the height and width of the box (h,w), then I expand the box to get the head in my crop :

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ANSWER

Answered 2021-Dec-05 at 20:21

You can use relative instead of absolute sizes for the margins around the detected faces. For example, 50% on top, bottom, left and right:

Source https://stackoverflow.com/questions/70237452

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

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ANSWER

Answered 2021-Jul-05 at 15:10

Add

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

QUESTION

google ml kit duplicate dependency

Asked 2021-May-18 at 17:05

after adding com.google.mlkit:face-detection:16.0.7 I have below log error what should I do?

Duplicate class com.google.firebase.components.Component found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.Component$1 found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.Component$Builder found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.ComponentContainer found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.ComponentFactory found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.ComponentRegistrar found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.Dependency found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.DependencyCycleException found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.DependencyException found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.MissingDependencyException found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.Event found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.EventHandler found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.Publisher found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.Subscriber found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.inject.Provider found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0)

Go to the documentation to learn how to Fix dependency resolution errors.

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ANSWER

Answered 2021-May-18 at 17:05

you may have an existing firebase dependency that pulls in com.google.firebase:firebase-common:16.0.3 which is not compatible with the mlkit APIs. You can resolve this by using the latest firebase BOM which specifies the latest versions for all firebase SDKs:

// Import the BoM for the Firebase platform implementation platform('com.google.firebase:firebase-bom:28.0.1')

// OR, just explicitly pull in the latest firebase-common dependency in your project: implementation 'com.google.firebase.firebase-common-20.0.0'

Source https://stackoverflow.com/questions/67546931

QUESTION

What does the 4D array returned by net.forward() in OpenCV DNN means? I have little knowledge about deep learning

Asked 2021-May-02 at 15:05

I need to use face detection to finish my homework and then I searched on the Internet and I think that using a pre-trained deep learning face detector model with OpenCV's DNN module is easy and good, it works well. Where I learnt it is here: https://www.pyimagesearch.com/2018/02/26/face-detection-with-opencv-and-deep-learning/ , but I am really confused about the 4D array returned by net.forward():

...

ANSWER

Answered 2021-May-02 at 15:05

3rd dimension helps you iterate over predictions and

in the 4th dimension, there are actual results

class_lable = int(inference_results[0, 0, i,1]) --> gives one hot encoded class label for ith box

conf = inference_results[0, 0, i, 2] --> gives confidence of ith box prediction

TopLeftX,TopLeftY, BottomRightX, BottomRightY = inference_results[0, 0, i, 3:7] -->gives co-ordinates bounding boxes for resized small image

and 2nd dimension is used when the predictions are made in more than one stages, for example in YOLO the predictions are done at 3 different layers. you can iterate over these predictions using 2nd dimension like [:,i,:,:]

Source https://stackoverflow.com/questions/67355960

QUESTION

How to save the image with the red bounding boxes on it detected by mtcnn?

Asked 2021-Apr-28 at 01:21

I have this code in which mtcnn detects faces on an image, draws a red rectangle around each face and prints on the screen.

Code taken from: https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/

But I want to save the image with the red boxes arround each face. So that i can do some preprocessing on it. Any help is good.

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ANSWER

Answered 2021-Apr-28 at 01:21

You can use matplotlib.pyplot.savefig. For example:

Source https://stackoverflow.com/questions/67284840

QUESTION

Drawing a Box Around Face To Existed Photos with Google Face Detection ML Kit

Asked 2021-Apr-18 at 03:49

We implemented Android ML Kit for face detection in Android. It works like charm, detect faces.

The problem: We want to draw rectangles around detected faces when multiple faces detected

What we have done:

Implemented

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ANSWER

Answered 2021-Apr-17 at 17:32

you can reference the project here, but it is the java code

https://github.com/kkdroidgit/FaceDetect

Source https://stackoverflow.com/questions/67138571

QUESTION

Android CameraX use case binding failed

Asked 2021-Apr-12 at 09:09

Device: Huawei P40 Lite E dependencies:

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ANSWER

Answered 2021-Apr-08 at 21:37

Simultaneous ImageCapture in YUV and ImageAnalysis in YUV isn't supported on all camera devices; if you switch the ImageCapture to JPEG you should be fine on all devices (if you want details, you can look at the tables in the underlying camera2 API's session creation). LIMITED-level camera devices only support 3 outputs if one of them is JPEG. FULL-level devices should support it, though.

That's why setBufferFormat is not part of the CameraX public API - using it easily pushes you out of the set of outputs that are commonly supported by camera devices.

Source https://stackoverflow.com/questions/66983861

QUESTION

How to extract required data from CURL response inside codeigniter?

Asked 2021-Feb-10 at 10:50

I tried to use the API from https://rapidapi.com/lambda/api/face-recognition-and-face-detection/details, and got the response as below

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ANSWER

Answered 2021-Feb-10 at 10:50

Your response is JSON, you just need to use json_decode() function like

Source https://stackoverflow.com/questions/66124131

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

Vulnerabilities

No vulnerabilities reported

Install face-detection

You can download it from GitHub.
You can use face-detection like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the face-detection component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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