face_recognition | Nghiên cứu và ứng dụng nhận diện khuôn mặt | Machine Learning library

 by   thangdc Python Version: Current License: No License

kandi X-RAY | face_recognition Summary

kandi X-RAY | face_recognition Summary

face_recognition is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. face_recognition has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

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            kandi-support Support

              face_recognition has a low active ecosystem.
              It has 5 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 115 days. 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.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              face_recognition 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.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed face_recognition and discovered the below as its top functions. This is intended to give you an instant insight into face_recognition implemented functionality, and help decide if they suit your requirements.
            • Get RGB color
            • Get the BGR image
            • Predict the best match for a given descriptor
            • Computes the mean distance between the input descriptors
            • Extract faces from given image
            Get all kandi verified functions for this library.

            face_recognition Key Features

            No Key Features are available at this moment for face_recognition.

            face_recognition Examples and Code Snippets

            No Code Snippets are available at this moment for face_recognition.

            Community Discussions

            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

            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

            Python Face-Recognition reach
            Asked 2021-Apr-24 at 15:38

            I have a python code which detects faces, but if I am 3 meters away, it won't recognize me anymore... I am new to python and I think I can do more, if you can tell me the code I have to change.

            Can somebody help me?

            ...

            ANSWER

            Answered 2021-Apr-24 at 10:11

            I guess the problem is rather in the big distance and small face then in algorithm. face_recognition.face_locations() has an argument: number_of_times_to_upsample Try to set it 2 or more: as much as smaller faces to be found.

            Source https://stackoverflow.com/questions/67241082

            QUESTION

            Raspberry Pi CSI camera to USB webcam in Python
            Asked 2021-Apr-19 at 14:00

            I'm trying to use an example from https://github.com/ageitgey/face_recognition

            for face detection on Raspberry Pi.

            This is the 'facerec_on_raspberry_pi.py' code:

            ...

            ANSWER

            Answered 2021-Apr-19 at 14:00

            You can use opencv API directly.

            Instead of creating a PiCamera object like:

            Source https://stackoverflow.com/questions/67163270

            QUESTION

            How to upload image in python?
            Asked 2021-Apr-08 at 11:12

            I was developing an app that returns JSON data if an uploaded image matches the image in the app folder. After selecting a particular image, I click "Upload" image it shows "No file chosen". The below given whole code. How can I fix this up? Thank you, in advance!

            ...

            ANSWER

            Answered 2021-Apr-08 at 11:12

            findEncodings() is not being called anywhere. Does it serve any purpose or should it be removed from the code snippet?

            Source https://stackoverflow.com/questions/66965784

            QUESTION

            how to split tuple in python and get data with column name
            Asked 2021-Mar-23 at 17:43
            import cv2
            import NumPy as np
            import face_recognition
            import os
            from DateTime import DateTime
            from SQL import mydb
            
            mycursor = mydb.cursor()
            mycursor.execute("SELECT name, age,imageURL,gender FROM staff")
            myresult = mycursor.fetchone()
            
            name = myresult[0]
            age = myresult[1]
            imgs = myresult[2]
            gender = myresult[3]
            
            ...

            ANSWER

            Answered 2021-Mar-23 at 17:43

            It's called tuple unpacking.

            Source https://stackoverflow.com/questions/66766506

            QUESTION

            cv2 video not showing using imshow, while being processed
            Asked 2021-Mar-23 at 12:21

            There is a video, that is being processed. The process can be seen in console as frame processing 1/1000, 2/1000 etc. The output video has done ok, but if i want to see the results during the run, there is a grey screen - not responding (screenshot of program running).

            Code, where movi is loaded:

            ...

            ANSWER

            Answered 2021-Mar-23 at 11:40

            Looking at what you have here; I'm not sure you understood how to deal with videos in opencv-python.

            input_movie = cv2.VideoCapture(r"test.mp4")

            here will open the test.mp4 video (as maybe you understood). But now, you'll need to tell to opencv to read each frame of this video using a while function and read input_movie

            In general, this is how we do:

            Source https://stackoverflow.com/questions/66762187

            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 keep the previous images when calling matplotlib imshow() multiple times in a single cell google colab?
            Asked 2021-Feb-19 at 10:23

            I wanted to show multiple images in a single cell of google colab using maltplotlib imshow()

            When it is used only once in a cell, the image will be shown.

            But when multiple imshow() fcalls are made , the previous imshow()s outputs are cleared .

            ...

            ANSWER

            Answered 2021-Feb-19 at 10:11

            Simply add plt.show() after each of your plt.imshow(image)

            Source https://stackoverflow.com/questions/66275108

            QUESTION

            How to recognize head(face) movement using python(Open cv)
            Asked 2021-Feb-19 at 03:21

            Good day, I am finding it difficult to recognize the head movement of a person using openCV, I have done a project that detects the face and eyes using haarcascade classifier, but unable to track the head movement say head moves left, right, up or down movement.

            here is my code

            ...

            ANSWER

            Answered 2021-Feb-18 at 11:47

            You can use dlib Face Detection. it uses Deep CNN and it is very good. First install face_recogniton madule by:

            Source https://stackoverflow.com/questions/66258159

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

            Vulnerabilities

            No vulnerabilities reported

            Install face_recognition

            You can download it from GitHub.
            You can use face_recognition like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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