Face-Detection | Face Detection ) özelliği ile ilgili örnek bir Android

 by   tugbaustundag Java Version: Current License: No License

kandi X-RAY | Face-Detection Summary

kandi X-RAY | Face-Detection Summary

Face-Detection is a Java library. Face-Detection has no bugs, it has no vulnerabilities and it has low support. However Face-Detection build file is not available. You can download it from GitHub.

Android Mobile Vision API içinde barınan Yüz Tanıma (Face Detection) özelliği ile ilgili örnek bir Android uygulama
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            kandi-support Support

              Face-Detection has a low active ecosystem.
              It has 7 star(s) with 5 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Face-Detection has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Face-Detection is current.

            kandi-Quality Quality

              Face-Detection has no bugs reported.

            kandi-Security Security

              Face-Detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Face-Detection does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Face-Detection releases are not available. You will need to build from source code and install.
              Face-Detection 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 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.
            • On resume camera
            • Determines if the orientation is in port mode
            • Stop camera source
            • Clears the cache
            • Starts the camera
            • Set camera info
            • Start the camera if ready
            • Start camera source preview
            • Gets all permissions
            • Create camera source
            • Create the camera source
            • Request camera permission
            • Adds a graphic
            • Called when the camera view has been changed
            • Draw track
            • Stop playback
            • Release the camera source
            • Set the face
            • Implementation of the onDraw method
            • Remove a graphic
            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 .
            pythondot img1Lines of Code : 14dot img1License : Permissive (MIT License)
            copy iconCopy
            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
            javadot img2Lines of Code : 6dot img2License : Permissive (MIT License)
            copy iconCopy
            public Image getCaptureWithFaceDetection() {
                    Mat mat = new Mat();
                    capture.read(mat);
                    Mat haarClassifiedImg = detectFace(mat);
                    return mat2Img(haarClassifiedImg);
                }  

            Community Discussions

            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.

            ...

            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.

            ...

            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

            ...

            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:

            ...

            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

            ...

            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

            QUESTION

            Jitpack Task 'install' is ambiguous in root project Android Library
            Asked 2021-Jan-22 at 20:04

            I require your help to be able to upload a project, to give them context, I am adding dependencies to my library:

            ...

            ANSWER

            Answered 2021-Jan-22 at 20:04

            The solution was to remove project (': opencv') from settings.gradle. ProjectDir = new File ('/ opencv'). This is for the purpose of using opencv from the library since I had forgotten to mention it

            Source https://stackoverflow.com/questions/65842383

            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

            Cant Extract data from PHP curl response
            Asked 2021-Jan-03 at 14:08

            I learning to use API from: https://rapidapi.com/lambda/api/face-recognition-and-face-detection/endpoints

            I want to save or echo albumkey to variable and store in database. I have tried $response->albumkey and didn't work.

            here my response below:

            ...

            ANSWER

            Answered 2021-Jan-03 at 14:05

            You need to parse the JSON before you can access its values. In PHP you do that with json_decode():

            Source https://stackoverflow.com/questions/65550609

            QUESTION

            Failed to apply plugin [id 'com.chaquo.python'] while gradle build
            Asked 2020-Dec-06 at 14:59

            I am trying to use python in my android app by using chaquopy. I found tutorial for integrating chaquopy in android here . I update my gradle file for app and project level A problem occurred evaluating project ':app'.

            Failed to apply plugin [id 'com.chaquo.python'] No such property: dslScope for class: com.android.build.gradle.internal.api.DefaultAndroidSourceDirectorySet.

            Here is my code for build.gradle app level

            ...

            ANSWER

            Answered 2020-Dec-06 at 14:59

            Chaquopy 6.3.0 isn't compatible with Android Gradle plugin version 4.1.0, and you should have received a warning about that.

            See here for the compatible combinations. You should probably just upgrade to the current Chaquopy version, 9.0.0.

            Source https://stackoverflow.com/questions/65169273

            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 .

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