Face-Recognition | Capstone Design Project - Face Recognition System | Computer Vision library

 by   GeorgeSeif C++ Version: Current License: No License

kandi X-RAY | Face-Recognition Summary

kandi X-RAY | Face-Recognition Summary

Face-Recognition is a C++ library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Tensorflow, OpenCV applications. Face-Recognition has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This program is a fully end-to-end video face recognition system, done as the final capstone design project for my undergraduate degree. The program also had an accompanying mobile app. Given a set of user face images, the system is trained to recognize the faces of the individuals in the given photos. The system detects the faces in the videos, crops them using Facial Landmark Detection preprocesses them, and then applies a face recognition algorithm to identify the person in the frame. The system is able to run at a real-time speed. This program was writting in C++ 11, using OpenCV 3.1 C++ API and Dlib.
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              Face-Recognition has a low active ecosystem.
              It has 24 star(s) with 11 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Face-Recognition is current.

            kandi-Quality Quality

              Face-Recognition has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

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              Face-Recognition releases are not available. You will need to build from source code and install.

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            Face-Recognition Key Features

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            Face-Recognition Examples and Code Snippets

            No Code Snippets are available at this moment for Face-Recognition.

            Community Discussions

            QUESTION

            Error in "from keras.utils import to_categorical"
            Asked 2021-Jun-04 at 00:33

            I have probem with this code , why ?

            the code :

            ...

            ANSWER

            Answered 2021-Apr-09 at 09:33

            Use from tensorflow.keras. instead of from keras.

            Source https://stackoverflow.com/questions/67018079

            QUESTION

            TypeError: __init__(): incompatible constructor arguments with face_recognition call
            Asked 2021-May-22 at 09:33

            I was trying to develop a face recognition attendance system, I coded 100% just like the tutorial, but I still got some errors, here's the code:

            ...

            ANSWER

            Answered 2021-May-22 at 07:45

            This line: for (top, right, bottom, left), name in zip(faceLocations, faceNames): .

            Make sure that top, right, bottom, left values are integer values and not float values. Just print them once to confirm. If they are float values convert them to int using int(). Like this:

            Source https://stackoverflow.com/questions/67647011

            QUESTION

            How to store FaceNet data efficiently?
            Asked 2021-May-15 at 23:18

            I am using the Facenet algorithm for face recognition. I want to create application based on this, but the problem is the Facenet algorithm returns an array of length 128, which is the face embedding per person.

            For person identification, I have to find the Euclidian difference between two persons face embedding, then check that if it is greater than a threshold or not. If it is then the persons are same; if it is less then persons are different.

            Let's say If I have to find person x in the database of 10k persons. I have to calculate the difference with each and every person's embeddings, which is not efficient.

            Is there any way to store this face embedding efficiently and search for the person with better efficiency?

            I guess reading this blog will help the others.

            It's in detail and also covers most aspects of implementation.

            Face recognition on 330 million faces at 400 images per second

            ...

            ANSWER

            Answered 2021-May-11 at 05:20

            Sounds like you want a nearest neighbour search. You could have a look at the various space partitioning data structures like kd-trees

            Source https://stackoverflow.com/questions/67462421

            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

            Python face_recognition why not recognise cartoon image?
            Asked 2021-Apr-29 at 08:46

            I am trying to face recognise by python Face-recognition library

            I have tried below code for below image

            Code :

            ...

            ANSWER

            Answered 2021-Apr-29 at 08:46

            Sorry to say but if the face recognition is good it should not recognize cartoon faces, it's designed to recognize human faces and therefore should only tell you how many human faces it is on the image, otherwise it's a bad designed algorithm. If you want a machine-learning algorithm to recognize cartoon faces you would have to train it your self for that specific test.

            I did a quick search on google and the first things I found was an article named "Cartoon Face Recognition: A Benchmark Dataset" at https://arxiv.org/pdf/1907.13394.pdf . Maybe you can find an already existing machine-learning algorithm that have been trained to recognize cartoon faces.

            Hope this helped and I hope you find what you're looking for.

            --------------------------------EDIT--------------------------------

            I found these two git repositories, could be worth looking into more

            https://github.com/srvCodes/Cartoon-Face-Detection-and-Recognition https://github.com/hako/dissertation

            The last link is a link for emotions of cartoon character.

            Source https://stackoverflow.com/questions/67313707

            QUESTION

            FileNotFoundError: [Errno 2] No such file or directory in Opencv face_recognition python
            Asked 2021-Feb-25 at 02:37

            I am trying to make a face_recognition using the face-recognition dlib library, but it gives an error(I am new to python).

            ...

            ANSWER

            Answered 2021-Feb-24 at 16:26

            It says that there is no such directory as a.jpg in the "dataset" folder

            No, that is not what the error means.

            The code is looking for that file in the current directory, not in the dataset folder.

            You did call os.listdir(r'/home/pi/Desktop/dataset/'), but that does not change the current directory.

            Use the full pathname to open the file:

            Source https://stackoverflow.com/questions/66354719

            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

            face_encoding function returning an error
            Asked 2021-Feb-06 at 13:00

            I am getting when face_encodings function is being called .

            ...

            ANSWER

            Answered 2021-Feb-06 at 13:00

            The issue was the parameter variable which i passed to face_encoding()

            correct :

            Source https://stackoverflow.com/questions/66077056

            QUESTION

            from numba import cuda, numpy_support and ImportError: cannot import name 'numpy_support' from 'numba'
            Asked 2021-Feb-04 at 13:35

            I am changing pandas into cudf to make faster aggregating and reduce the processing speed. I figure out one library which works on GPU with pandas.

            "CUDF LINK" https://github.com/rapidsai/cudf

            When I entered the below to install in my project it gives an error and I also tried many version of numba.

            ...

            ANSWER

            Answered 2021-Feb-04 at 13:35

            When trying to install cuDF 0.13, conda is apparently finding a numba version that is incompatible with that cuDF 0.13.

            cuDF 0.13 is out of date. The current stable release is 0.17 and the nightly is 0.18. We'll update the README, as it should provide installation instructions for the current version.

            We recommend creating a fresh conda environment. Please try the following conda install command, found here:

            Source https://stackoverflow.com/questions/66046111

            QUESTION

            What does the .api mean in face_recognition.api.face_locations? - face_recognition package python
            Asked 2021-Jan-12 at 06:00

            Is there a difference between face_recognition.api.face_locations and face_recognition.face_locations. The offical documentation explains the use of the former while many example codes use the latter.

            ...

            ANSWER

            Answered 2021-Jan-12 at 06:00

            if you are willing to use your face recognition program from a api provider like Microsoft, im not really sure(even tho i used the library quite a lot). In another way if you are planning to do the coding and processing on your computer, .api funtion is kind of useless(you wont need it).

            Now if you need more inf check out this example that should help you understant the diffrence between the 2 : https://github.com/ageitgey/face_recognition/tree/master/face_recognition

            Hope This helped you :)

            Feel free to ask any question

            Source https://stackoverflow.com/questions/65678425

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

            Vulnerabilities

            No vulnerabilities reported

            Install Face-Recognition

            You can download it from GitHub.

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            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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