by   suxiao18740 Java Version: Current License: No License

kandi X-RAY | faceDetection Summary

kandi X-RAY | faceDetection Summary

faceDetection is a Java library. faceDetection has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.


            kandi-support Support

              faceDetection has a low active ecosystem.
              It has 32 star(s) with 11 fork(s). There are 2 watchers for this library.
              It had no major release in the last 6 months.
              faceDetection has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of faceDetection is current.

            kandi-Quality Quality

              faceDetection has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              faceDetection 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.

            kandi-Reuse Reuse

              faceDetection releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed faceDetection and discovered the below as its top functions. This is intended to give you an instant insight into faceDetection implemented functionality, and help decide if they suit your requirements.
            • Initialize the camera .
            • Installs OpenCV manager .
            • Generate a bitmap from raw bytes .
            • Called when OpenCV library is connected .
            • Initializes camera preview
            • Override this to customize the bitmap .
            • Converts a list of Point3 points to a Matcher .
            • Load a vertex shader .
            • Delivers the camera frame .
            • Completes the state
            Get all kandi verified functions for this library.

            faceDetection Key Features

            No Key Features are available at this moment for faceDetection.

            faceDetection Examples and Code Snippets

            No Code Snippets are available at this moment for faceDetection.

            Community Discussions


            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 :



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

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


            Use cv2.videocapture without it opening a window
            Asked 2021-May-02 at 05:22

            I am trying to use face detection but I do not want the video feed window to open up when I use videocapture, this is the code I'm working on:



            Answered 2021-May-02 at 05:22

            Reomve cv2.imshow('img', img) and replace it with print(faces)

            cv2.imshow() is responsible for opening of image window.

            Source https://stackoverflow.com/questions/67353210


            multi-threading, what is wrong with my code
            Asked 2021-Apr-08 at 19:57

            I was trying to make faster my frames in opencv, it was so slow using it normal, so I decided to ask it here Make faster videocapture opencv the answer was to use multi threading to make it faster, so I code it like this



            Answered 2021-Apr-08 at 19:57

            Your VideoStream class's init looks ok, but I think you might have better luck creating a cv2 VideoCapture object in the init as well:

            Source https://stackoverflow.com/questions/67010610


            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



            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


            How to print a message on browser using javascript and HTML
            Asked 2020-Dec-15 at 03:42

            I am currently working on face detection on a browser. Below is the snippet for my java script code. it detect the bounding boxes when face is visible in the screen. I want to print a message on the canvas when the face is not detected by my model. In that case predictions.length will be equal to 0 here is my code ,how do I modify it for my functionality



            Answered 2020-Dec-15 at 03:30
            1. Check the predictions length
            2. If no predictions, render an error message in the canvas

            Source https://stackoverflow.com/questions/65299195


            CocoaPods could not find compatible versions for pod GoogleDataTransport when installing GoogleMLKit Face Detection
            Asked 2020-Oct-28 at 13:26

            So I tried to install ML Kit Face Detection library by following this documentation, so first I added this line in my podfile:



            Answered 2020-Jun-17 at 09:35

            This fixed the problem for me:

            1. pod deintegrate
            2. sudo gem install cocoapods-clean
            3. pod clean
            4. pod setup
            5. pod install

            Source https://stackoverflow.com/questions/62423247


            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



            Answered 2020-Oct-14 at 17:04


            I have two feelings about your code:

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

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


            FaceDetector was not released with FaceDetector.release()
            Asked 2020-Oct-07 at 17:20

            I am working with ML face detector: https://developers.google.com/ml-kit/vision/face-detection/android#kotlin_2

            And I take an image from Camera2 and process it. But I constantly have the error "FaceDetector was not released with FaceDetector.release()"

            More details:



            Answered 2020-Oct-07 at 17:20

            I finally figured out how did this error happen!

            There must be only one instance of the detector. And the error was in another part of my code (I am new to android and first time working with camera2):

            Source https://stackoverflow.com/questions/64213266


            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.



            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


            How to save API response to csv with Python
            Asked 2020-Aug-03 at 19:37

            I'm getting facedetection data from an API in this form:



            Answered 2020-Aug-03 at 19:37

            You can do this relatively easily with the pandas and json libraries.

            Source https://stackoverflow.com/questions/63235420

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


            No vulnerabilities reported

            Install faceDetection

            You can download it from GitHub.
            You can use faceDetection 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 faceDetection 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 .


            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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