FaceDetection | implement MTCNN , a perfect face detect algorithm | Machine Learning library

 by   OAID C++ Version: Current License: Apache-2.0

kandi X-RAY | FaceDetection Summary

kandi X-RAY | FaceDetection Summary

FaceDetection is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. FaceDetection has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now
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              FaceDetection has a low active ecosystem.
              It has 257 star(s) with 115 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 9 have been closed. On average issues are closed in 32 days. There are 1 open pull requests and 0 closed 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 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.

            kandi-Reuse Reuse

              FaceDetection releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            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

            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 :

            ...

            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

            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:

            ...

            ANSWER

            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

            QUESTION

            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

            ...

            ANSWER

            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

            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

            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

            ...

            ANSWER

            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

            QUESTION

            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:

            ...

            ANSWER

            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

            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

            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:

            ...

            ANSWER

            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

            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

            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:

            ...

            ANSWER

            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

            Vulnerabilities

            No vulnerabilities reported

            Install FaceDetection

            Bulid caffe, mxnet or tensorflow first   Please edit makefile.mk (set xxx_ON flags to enable corresponding dp framework) to select one or more to be supported. Edit Makefile to set CAFFE_ROOT, MXNET_ROOT or TENSORFLOW_ROOT to the right path in your machine. For example : CAFFE_ROOT=/usr/local/AID/Caffe-HRT/.
            Bulid caffe, mxnet or tensorflow first   Please edit makefile.mk (set xxx_ON flags to enable corresponding dp framework) to select one or more to be supported Build Caffe-HRT, refer to Caffe-HRT Release notes Build MXNet-HRT, refer to MXNet-HRT release notes Build tensorflow, to generate libtensorflow.so, please use: bazel build --config=opt //tensorflow/tools/lib_package:libtensorflow the tarball, bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz, includes the libtensorflow.so and c header files
            Edit Makefile to set CAFFE_ROOT, MXNET_ROOT or TENSORFLOW_ROOT to the right path in your machine. For example : CAFFE_ROOT=/usr/local/AID/Caffe-HRT/.
            make -j4

            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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            https://github.com/OAID/FaceDetection.git

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            gh repo clone OAID/FaceDetection

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            git@github.com:OAID/FaceDetection.git

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