The Codacus

The Coding Abacus

You are here: Home / Computer Vision / Face Recognition OpenCV – Training A Face Recognizer

Face Recognition OpenCV – Training A Face Recognizer

To perform face recognition we need to train a face recognizer, using a pre labeled dataset, In my previous post we created a labeled dataset for our face recognition system, now its time to use that dataset to train a face recognizer using opencv python,

[ictt-tweet-inline hashtags=”#opencv, #python, #facerecognition” via=”via thecodacus”]Lets Train A Face Recognizer[/ictt-tweet-inline]

First create a python “trainner.py” file in the same folder where we saved out dataset generator script in the previous post, and then create a folder in the same directory name it “trainner”, this is the folder where we are going to save our recognizer after training.

So the folder structure till now should be something like this

Those who don’t know how we got the dataset folder and script , it was created in my previous post you should check that first.

Before we start actual coding we need a new library called pillow,
open your cmd (run as administrator )and type following command to navigate to your python pip directory:
“cd c:/python27/scripts/”
now type the following to install pillow:
“pip install pillow”
this will install the latest version of pillow in your python library

Lets Start Coding

So now we rare ready to code the trainner,
Just like all the other opencv script we need:

import the opencv / cv2 library,
we will need the os to accress the file list in out dataset folder,
we also need to import the numpy library,
and we need to import the pillow / PIL library we installed before,

It will look something like this:

import cv2,os
import numpy as np
from PIL import Image

Now we need to initialize the recognizer and the face detector

recognizer = cv2.createLBPHFaceRecognizer()
detector= cv2.CascadeClassifier("haarcascade_frontalface_default.xml");

Load The Training Data

Ok, now we will are going to create a function which will grab the training images from the dataset folder, and will also get the corresponding Ids from its file name, (remember we formatted the filename to be like User.id.samplenumber in our previous script)

So I am going to name this function “getImagesAndLabels”  we need the path of the dataset folder so we will provide the folder path as argument. So the function will be like this

def getImagesAndLabels(path):

So now inside this function we are going to do the following

  • Load the training images from dataset folder
  • capture the faces and Id from the training images
  • Put them In a List of Ids and FaceSamples  and return it

To load the image we need to create the paths of the image

    imagePaths=[os.path.join(path,f) for f in os.listdir(path)]

this will get the path of each images in the folder.
now we need to create two lists for faces and Ids to store the faces and Ids

    faceSamples=[]
    Ids=[]

Now we will loop the images using the image path and will load those images and Ids, we will add that in your lists

    for imagePath in imagePaths:
        pilImage=Image.open(imagePath).convert('L')
        imageNp=np.array(pilImage,'uint8')
        Id=int(os.path.split(imagePath)[-1].split(".")[1])
        faces=detector.detectMultiScale(imageNp)
        for (x,y,w,h) in faces:
            faceSamples.append(imageNp[y:y+h,x:x+w])
            Ids.append(Id)

In the above code we used used “Image.open(imagePath).convert(‘L’)” is loading the image and converting it to gray scale, but now its a PIL image we need to convert it to numpy array.
for that we are converting it to numpy array “imageNP=np.array(pilImage,’uint8′)”.
To get the Id we split the image path and took the first from the last part (which is “-1” in python) and that is the name of the imagefile. now here is the trick, we saved the file name in our previous program like this “User.Id.SampleNumber” so if we split this using “.” the we will get 3 token in a list “User”, “Id”, “SampleNumber”
so to get the Id we will choone 1st index (index starts from 0)

So we get:

        Id=int(os.path.split(imagePath)[-1].split(".")[1])

Now we are using the detector to extract the faces and append them in the faceSamples list with the Id

which looks like:

        for (x,y,w,h) in faces:
            faceSamples.append(imageNp[y:y+h,x:x+w])
            Ids.append(Id)

So we are done now we just have to return that value

return faceSamples,Ids

Now the entire function will look like this

def getImagesAndLabels(path):
    #get the path of all the files in the folder
    imagePaths=[os.path.join(path,f) for f in os.listdir(path)] 
    #create empth face list
    faceSamples=[]
    #create empty ID list
    Ids=[]
    #now looping through all the image paths and loading the Ids and the images
    for imagePath in imagePaths:
        #loading the image and converting it to gray scale
        pilImage=Image.open(imagePath).convert('L')
        #Now we are converting the PIL image into numpy array
        imageNp=np.array(pilImage,'uint8')
        #getting the Id from the image
        Id=int(os.path.split(imagePath)[-1].split(".")[1])
        # extract the face from the training image sample
        faces=detector.detectMultiScale(imageNp)
        #If a face is there then append that in the list as well as Id of it
        for (x,y,w,h) in faces:
            faceSamples.append(imageNp[y:y+h,x:x+w])
            Ids.append(Id)
    return faceSamples,Ids

Almost Done!!

We are almost finished, now we just have to call that function and feed the data to the recognizer to train

faces,Ids = getImagesAndLabels('dataSet')
recognizer.train(faces, np.array(Ids))
recognizer.save('trainner/trainner.yml')

Thats it!!

Now if we run this code it will create a “trainner.yml” file inside the trainner folder,
We will use this file in our next post to actually recognize the faces that we trained the face recognizer to recognize,

The Complete Code


import cv2,os
import numpy as np
from PIL import Image

recognizer = cv2.createLBPHFaceRecognizer()
detector= cv2.CascadeClassifier("haarcascade_frontalface_default.xml");

def getImagesAndLabels(path):
    #get the path of all the files in the folder
    imagePaths=[os.path.join(path,f) for f in os.listdir(path)] 
    #create empth face list
    faceSamples=[]
    #create empty ID list
    Ids=[]
    #now looping through all the image paths and loading the Ids and the images
    for imagePath in imagePaths:
        #loading the image and converting it to gray scale
        pilImage=Image.open(imagePath).convert('L')
        #Now we are converting the PIL image into numpy array
        imageNp=np.array(pilImage,'uint8')
        #getting the Id from the image
        Id=int(os.path.split(imagePath)[-1].split(".")[1])
        # extract the face from the training image sample
        faces=detector.detectMultiScale(imageNp)
        #If a face is there then append that in the list as well as Id of it
        for (x,y,w,h) in faces:
            faceSamples.append(imageNp[y:y+h,x:x+w])
            Ids.append(Id)
    return faceSamples,Ids


faces,Ids = getImagesAndLabels('dataSet')
recognizer.train(faces, np.array(Ids))
recognizer.save('trainner/trainner.yml')

 

Now The Complete Video Tutorial

 

Updates:

To make sure the trainner doesn’t take any file other that the jpg files we will add an if condition in the method


import cv2,os
import numpy as np
from PIL import Image

recognizer = cv2.createLBPHFaceRecognizer()
detector= cv2.CascadeClassifier("haarcascade_frontalface_default.xml");

def getImagesAndLabels(path):
    #get the path of all the files in the folder
    imagePaths=[os.path.join(path,f) for f in os.listdir(path)] 
    #create empth face list
    faceSamples=[]
    #create empty ID list
    Ids=[]
    #now looping through all the image paths and loading the Ids and the images
    for imagePath in imagePaths:

        # Updates in Code
        # ignore if the file does not have jpg extension :
        if(os.path.split(imagePath)[-1].split(".")[-1]!='jpg'):
            continue

        #loading the image and converting it to gray scale
        pilImage=Image.open(imagePath).convert('L')
        #Now we are converting the PIL image into numpy array
        imageNp=np.array(pilImage,'uint8')
        #getting the Id from the image
        Id=int(os.path.split(imagePath)[-1].split(".")[1])
        # extract the face from the training image sample
        faces=detector.detectMultiScale(imageNp)
        #If a face is there then append that in the list as well as Id of it
        for (x,y,w,h) in faces:
            faceSamples.append(imageNp[y:y+h,x:x+w])
            Ids.append(Id)
    return faceSamples,Ids


faces,Ids = getImagesAndLabels('dataSet')
recognizer.train(faces, np.array(Ids))
recognizer.save('trainner/trainner.yml')

Github links:

For this code: you can visit: https://github.com/thecodacus/Face-Recognition

nazmi69 has done a good job converting the code for python 3.x and opencv 3.0
available at https://github.com/nazmi69/Face-Recognition

Comments

  1. Hi, I’m new in the openCV programming. I’ve openCV 3.2 (+ openCV contrib) installed on my PC with python 2.7 and when I compile the code appears this error:
    recognizer = cv2.createEigenFaceRecognizer()
    AttributeError: ‘module’ object has no attribute ‘face’

    I’ve searched in forums and they suggest to put ‘face.’ before ‘createEigenFaceRecognizer()’ or to substitute ‘cv2.createEigenFaceRecognizer()’ with ‘cv2.createFisherFaceRecognizer()’ etc… I haven’t solved my problem… What can I do?
    Thanks in advance and sorry for my bad English.

    Reply

    • The reason this no longer works is because the face recognition module has been moved out of the core OpenCV library from version 3. It now exists in a separate sub-library called ‘opencv_contrib’ which is less well supported and harder to get up and running. The joys of open source.

      The Github page for the contributions module is here:
      https://github.com/Itseez/o…

      Theoretically if you can get that installed and built you should be able to access the face recognition module by changing ‘cv2.createLBPHFaceRecognizer’ to cv2.face.createLBPHFaceRecognizer’ but its possible the python bindings might not be up to date.

      Reply

  3. Hello Anirban;
    When i use
    recognizer = cv2.createEigenFaceRecognizer()
    an error occur that say “In Eigenfaces method all input samples (training images) must be of equal size! “.All images must be in same height and width (in pixel).
    How can i create a dataset with this condition?
    Thanks in advance.

    Reply

    • you can use
      face=cv2.resize(imageNp[y:y+h,x:x+w],(100,100))
      faceSamples.append(face)

      now all the samples will be same size always

      Reply

  4. Getting following error,

    File “two_train.py”, line 35, in
    faces,Ids = getImagesAndLabels(‘dataSet’)
    File “two_train.py”, line 19, in getImagesAndLabels
    pilImage=Image.open(imagePath).convert(‘L’)
    File “/home/pi/.virtualenvs/cv/lib/python3.4/site-packages/PIL/Image.py”, line 2349, in open
    % (filename if filename else fp))
    OSError: cannot identify image file ‘dataSet/.DS_Store’

    P.S: it takes 50% of data set and then it shows this error.

    Reply

    • Actually there is a hidden file “dataSet/.DS_Store” -> “.DS_Store” and the script is taking that as input but not able to convert it as image, try to remove that file from the folder and it will work

      Reply

        • hey gaurav sorry for not replying sooner,
          try this split the image path in by “.” so the 2nd part will be jpeg after “.” if its not then its not an image

          token=imagePath.split(“.”)
          if(token[-1]==’jpg’):
          # put the rest of the code inside

          Reply

          • Hello Anirban, I am having a similar issue, I am trying to filter out the hidden .DS_Store file, but I don’t quite understand your solution

            Where should this occur?
            token=imagePath.split(“.”)
            if(token[1]==’jpeg’):
            # put the rest of the code inside

            As a component of this?
            Id= int(os.path.split(imagePath)[-1].split(“.”)[1])

            Thank you so much! Your tutorial has been great so far

  5. HI, I am Shyam I using ubuntu 16.04 how could I have to do and save trainer/trainer .yml file can you help me for that. And you had changed the code in a video but you not mentioned in website.Did you face any problem in it?

    anticipating for yor answer ,,,,

    Reply

    • Hi Shyam, If you have saved your python script in the same folder as the “trainner” folder like in the image that is shown in the post then.

      recognizer.save(‘trainner/trainner.yml’)

      this above line will save the yml file inside the “trainner” folder. even if you are using ubuntu its not a problem and if your script is in a different location then

      recognizer.save(‘[Fullpath]/trainner/trainner.yml’)

      you have to enter the full path of the “trainner” folder then it will work

      and about the difference in the blog and the video, its actually i didn’t wrote the both code same time so there is some difference in code but both logic is same you can follow any of them both will work. while writing the blog i broken down the code so that it becomes easier to explain in the blog that’s it

      Reply

  6. Hey That I am have been another doubt.This tutorial is for save yml file or we can check the face of our ID. It is confusing me can you explain to me.

    This is only for face checking or Id checking

    Reply

    • its just for training the recognizer with the dataset that we created in the previous post and save the recognizer in a file, in the next post we are using that file to recognize the faces

      Reply

  7. Getting this error how to resolve it please help

    Traceback (most recent call last):
    File “F:\New folder (6)\face reco\trainner.py”, line 21, in
    Ids,faces=getImagesWithID(path)
    File “F:\New folder (6)\face reco\trainner.py”, line 12, in getImagesWithID
    faceImg=Image.open(imagePath).convert(‘L’);
    File “C:\Python27\lib\site-packages\PIL\Image.py”, line 2349, in open
    % (filename if filename else fp))
    IOError: cannot identify image file ‘dataSet\\Thumbs.db’

    Reply

    • This is fixed after doing this :

      import cv2,os
      import numpy as np
      from PIL import Image

      recognizer = cv2.createLBPHFaceRecognizer()
      detector= cv2.CascadeClassifier(“haarcascade_frontalface_default.xml”);

      def getImagesAndLabels(path):
      #get the path of all the files in the folder
      imagePaths=[os.path.join(path,f) for f in os.listdir(path)]
      #create empth face list
      faceSamples=[]
      #create empty ID list
      Ids=[]
      #now looping through all the image paths and loading the Ids and the images
      for imagePath in imagePaths:
      token = imagePath.split(“.”)
      if(token[1] ==’jpeg’):
      #loading the image and converting it to gray scale
      pilImage=Image.open(imagePath).convert(‘L’)
      #Now we are converting the PIL image into numpy array
      imageNp=np.array(pilImage,’uint8′)
      #getting the Id from the image
      Id=int(os.path.split(imagePath)[-1].split(“.”)[1])
      # extract the face from the training image sample
      faces=detector.detectMultiScale(imageNp)
      #If a face is there then append that in the list as well as Id of it
      for (x,y,w,h) in faces:
      faceSamples.append(imageNp[y:y+h,x:x+w])
      Ids.append(Id)
      return faceSamples,Ids

      faces,Ids = getImagesAndLabels(‘dataSet’)
      recognizer.train(faces, np.array(Ids))
      recognizer.save(‘trainner/trainner.yml’)

      But having a new error :

      Traceback (most recent call last):
      File “C:\Users\User\Desktop\python opencv\Face Recog\trainner.py”, line 34, in
      recognizer.train(faces, np.array(Ids))
      error: ..\..\..\..\opencv\modules\contrib\src\facerec.cpp:917: error: (-210) Empty training data was given. You’ll need more than one sample to learn a model. in function cv::LBPH::train

      Reply

      • sorry did a mistake there,
        in the dataset generator we used the extension as “jpg”
        so if we change the line “if(token[1] ==’jpeg’):” to “if(token[-1] ==’jpg’):” it will work..

        Reply

  8. Getting this error. unable to solve. ( I followed your code from youTube)
    Traceback (most recent call last):
    File “K:/python project/face recognition/trainer.py”, line 25, in
    recognizer.train(faces,Ids)
    TypeError: labels data type = 18 is not supported.

    when i pasted the code from this blog it works fine.

    Reply

  9. Hello,
    How could I apply the same detection and recognition techniques but with a browse button instead of capturing it through the cam?

    Reply

  10. hey Anirban,
    Thanks for the tutorial. But i am getting this error.
    Traceback (most recent call last):
    File “C:/Python27/prog/facerecog/trainner.py”, line 33, in
    recognizer.train(faces, np.array(Ids))
    TypeError: labels data type = 17 is not supported

    Reply

  11. i am facing ….”””AttributeError: ‘module’ object has no attribute ‘createLBPHFaceRecognizer “”‘
    error …. what should i do….

    Reply

    • The reason this no longer works is because the face recognition module has been moved out of the core OpenCV library from version 3. It now exists in a separate sub-library called ‘opencv_contrib’ which is less well supported and harder to get up and running. The joys of open source.

      The Github page for the contributions module is here:
      https://github.com/Itseez/o…

      Theoretically if you can get that installed and built you should be able to access the face recognition module by changing ‘cv2.createLBPHFaceRecognizer’ to cv2.face.createLBPHFaceRecognizer’ but its possible the python bindings might not be up to date.

      Reply

  12. hello sir

    am developing your code on Anaconda navigator (Spyder) and python 3

    all the previous codes works fine but only in this code I get this error

    recognizer= cv2.createLBPHFaceRecognizer()

    AttributeError: module ‘cv2’ has no attribute ‘createLBPHFaceRecognizer’

    Reply

    • did you check your opencv version ?? is it 2/3? cuz in opencv 3 you dont have “createLBPHFaceRecognizer” out of the box

      Reply

    • The reason this no longer works is because the face recognition module has been moved out of the core OpenCV library from version 3. It now exists in a separate sub-library called ‘opencv_contrib’ which is less well supported and harder to get up and running. The joys of open source.

      The Github page for the contributions module is here:
      https://github.com/Itseez/o…

      Theoretically if you can get that installed and built you should be able to access the face recognition module by changing ‘cv2.createLBPHFaceRecognizer’ to cv2.face.createLBPHFaceRecognizer’ but its possible the python bindings might not be up to date.

      Reply

  13. hi Sir
    I copy your code and run it but it error
    Traceback (most recent call last):

    File “trainner.py”, line 31, in
    faces,Ids = getImagesAndLabels(‘dataSet’)
    File “trainner.py”, line 22, in getImagesAndLabels
    Id=int(os.path.split(imagePath)[-1].split(“.”)[1])
    ValueError: invalid literal for int() with base 10: ‘cam’
    Can you help me ? Thanks

    Reply

    • The reason this no longer works is because the face recognition module has been moved out of the core OpenCV library from version 3. It now exists in a separate sub-library called ‘opencv_contrib’ which is less well supported and harder to get up and running. The joys of open source.

      The Github page for the contributions module is here:
      https://github.com/Itseez/o…

      Theoretically if you can get that installed and built you should be able to access the face recognition module by changing ‘cv2.createLBPHFaceRecognizer’ to cv2.face.createLBPHFaceRecognizer’ but its possible the python bindings might not be up to date.

      Reply

  15. Getting this error how to resolve it please help

    Traceback (most recent call last):
    File “F:\New folder (6)\face reco\trainner.py”, line 21, in
    Ids,faces=getImagesWithID(path)
    File “F:\New folder (6)\face reco\trainner.py”, line 12, in getImagesWithID
    faceImg=Image.open(imagePath).convert(‘L’);
    File “C:\Python27\lib\site-packages\PIL\Image.py”, line 2349, in open
    % (filename if filename else fp))
    IOError: cannot identify image file ‘dataSet\\Thumbs.db’

    Reply

    • hey gaurav sorry for not replying sooner,
      try this split the image path in by “.” so the 2nd part will be jpeg after “.” if its not then its not an image

      token=imagePath.split(“.”)
      if(token[-1]==’jpg’):
      # put the rest of the code inside

      Reply

  16. Hi there Anirban,
    When I tried running the code you have given here, I get the error
    Traceback (most recent call last):
    File “”, line 1, in
    exec file(“D:/Pjjjjjj/pythonsamp/trainner.py”)
    File “D:/Pjjjjjj/pythonsamp/trainner.py”, line 33, in
    recognizer.save(‘trainner/trainner.yml’)
    error: ..\..\..\..\opencv\modules\contrib\src\facerec.cpp:390: error: (-2) File can’t be opened for writing! in function cv::FaceRecognizer::save

    What should I do?

    Reply

  17. #Here is my code…..

    import os
    import cv2
    import numpy as np
    cv2.imread(“filepath”)

    recognizer=cv2.createLBPHFaceRecognizer()
    path=’dataSet’

    def getImagesWithID(path):
    imagePaths=[os.path.join(path,f) for f in os.listdir(path)]
    faces=[]
    IDs=[]
    for imagePath in imagePaths:
    faceNp=cv2.imread(imagepath,0)
    ID=int(os.path.split(imagePath)[-1].split(“.”)[1])
    faces.append(faceNp)
    print ID
    IDs.append(ID)
    cv2.imshow(“training”,faceNp)
    cv2.waitKey(10)
    return IDs,faces

    IDs,faces = getImagesWithID(path)
    recognizer.train(faces, np.array(Ids))
    recognizer.save(‘recognizer/trainningData.yml’)
    cv2.destroyAllWindow()

    #And this error occurs…..

    Traceback (most recent call last):
    File “E:/Project & thesis/Face Recognition/trainner.py”, line 23, in
    IDs,faces = getImagesWithID(path)
    File “E:/Project & thesis/Face Recognition/trainner.py”, line 14, in getImagesWithID
    faceNp=cv2.imread(imagepath,0)
    NameError: global name ‘imagepath’ is not defined

    # What should I do? Please help.

    Reply

      • Thanks a lot. Now it works fine.
        Now I am facing a problem in Sqlite Database.

        Here is my code…..
        import cv2
        import sqlite3
        cam = cv2.VideoCapture(0)
        detector=cv2.CascadeClassifier(‘Classifiers/face.xml’)

        def insertOrUpdate(Id,Name):
        conn=sqlite3.connect(“FaceBase.db”)
        cmd=”SELECT * FROM People WHERE ID=”+str(Id)
        cursor=conn.execute(cmd)
        isRecordExist=0
        for row in cursor:
        isRecordExist=1
        if(isRecordExist==1):
        cmd=”UPDATE People SET Name=”+str(Name)+” WHERE ID=”+str(Id)
        else:
        cmd=”INSERT INTO People(ID,Name) Values(“+str(Id)+”,”+str(Name)+”)”
        conn.execute(cmd)
        conn.commit()
        conn.close()

        id=raw_input(‘enter your id’)
        name=raw_input(‘enter your name’)
        insertOrUpdate(id,name)
        sampleNum=0
        while(True):
        ret, img =cam.read()
        gray=cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        faces=detector.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5, minSize=(100, 100), flags=cv2.CASCADE_SCALE_IMAGE)
        for (x,y,w,h) in faces:
        sampleNum=sampleNum+1
        cv2.imwrite(“dataSet/user.”+id +’.’+ str(sampleNum) + “.jpg”, gray[y:y+h,x:x+w])
        cv2.rectangle(img,(x-50,y-50),(x+w+50,y+h+50),(225,0,0),2)
        cv2.imshow(‘img’,img)
        cv2.waitKey(100)
        if sampleNum>20:
        cam.release()
        cv2.destroyAllWindows()
        break

        # My problem is this code runs well but doesn’t detect my face and doesn’t create the dataSet of my face. Now what should I do?

        Reply

        • I m facing this problem in ur code can u plz help

          TypeError: labels data type = 18 is not supported

          Reply

  18. CODE :
    import cv2
    import os
    import numpy as np
    from PIL import Image

    recognizer = cv2.createLBPHFaceRecognizer()
    detector = cv2.CascadeClassifier(“haarcascade_frontalface_default.xml”);

    def getImagesAndLabels(path):
    #get the path of all the files in the folder
    imagePaths=[os.path.join(path,f) for f in os.listdir(path)]
    #create empth face list
    faceSamples=[]
    #create empty ID list
    Ids=[]
    #now looping through all the image paths and loading the Ids and the images
    for imagePath in imagePaths:
    token = imagePath.split(“.”)
    if(token[1] ==’jpeg’):
    #loading the image and converting it to gray scale
    pilImage=Image.open(imagePath).convert(‘L’)
    #Now we are converting the PIL image into numpy array
    imageNp=np.array(pilImage,’uint8′)
    #getting the Id from the image
    Id=int(os.path.split(imagePath)[-1].split(“.”)[1])
    # extract the face from the training image sample
    faces=detector.detectMultiScale(imageNp)
    #If a face is there then append that in the list as well as Id of it
    for (x,y,w,h) in faces:
    faceSamples.append(imageNp[y:y+h,x:x+w])
    Ids.append(Id)
    cv2.imshow(“Adding faces to trainning set. . . “,imageNp[y:y+h,x:x+w])
    cv2.waitKey(50)
    return faceSamples,Ids

    faces,Ids = getImagesAndLabels(‘dataSet’)
    recognizer.train(faces, np.array(Ids))
    recognizer.save(‘trainner/trainner.yml’)

    ERROR :
    Traceback (most recent call last):
    File “C:\Users\User\Desktop\python opencv\Face Recog\trainner.py”, line 37, in
    recognizer.train(faces, np.array(Ids))
    error: ..\..\..\..\opencv\modules\contrib\src\facerec.cpp:917: error: (-210) Empty training data was given. You’ll need more than one sample to learn a model. in function cv::LBPH::train

    Please fix the error….

    Reply

  19. How to solve this error
    recognizer=cv2.createLBPHFaceRecognizer()
    AttributeError: ‘module’ object has no attribute ‘createLBPHFaceRecognizer’

    Reply

  20. I am getting this error:
    Image.register_decoder(‘MSP’, MspDecoder)

    AttributeError: ‘module’ object has no attribute ‘register_decoder’

    Reply

  21. Hi, first of all thank you a lot, this is helping me for my school proyect so much.
    I have a problem with the Face module of opencv I can not find how to install it, I saw some videos and they use cmake and visual studio, but right now Im using Liclipse. Also I tried to install opencv 2.3 and 2.4 but none of them had the module. Could you help me please?

    Reply

  22. Traceback (most recent call last):
    File “E:/face recgn/trainner/trainner.py”, line 3, in
    from PIL import Image
    ImportError: No module named PIL

    Reply

  23. hello
    bro your tutorial wthas awesome . i have one question.is cv2.createLBPHFaceRecognizer() a built-in function. which method u used for recognition. i mean for features extraction. thanks

    Reply

  24. C:\Python27\Scripts>pip install Pillow
    Collecting Pillow
    Using cached Pillow-4.1.1-cp27-cp27m-win32.whl
    Collecting olefile (from Pillow)
    Using cached olefile-0.44.zip
    Complete output from command python setup.py egg_info:

    —————————————-
    Command “python setup.py egg_info” failed with error code 1 in c:\users\logesh\appdata\local\temp\pip-build-onu8pb\olefile

    Reply

  25. I’m getting the following error when I run Trainer.py —

    AttributeError: module ‘cv2’ has no attribute ‘createLBPHFaceRecognizer’

    Please help me with how to resolve this error without changing the OpenCV version.
    I’m using OpenCV-3.2.0 and Python 2.7 on a RaspberryPi 3

    Reply

  26. Hi,
    When I run trainer.py , I get the following error —

    OpenCV Error: Unspecified error (File can’t be opened for writing!) in save, file /home/pi/opencv_contrib-3.2.0/modules/face/src/facerec.cpp, line 70
    Traceback (most recent call last):
    File “trainer.py”, line 33, in
    recognizer.save(‘trainer/trainer.yml’)
    cv2.error: /home/pi/opencv_contrib-3.2.0/modules/face/src/facerec.cpp:70: error: (-2) File can’t be opened for writing! in function save

    PS: I’m using Opencv-3.2.0 , Python – 2.7 and RaspberryPi – 3.

    Reply

  27. HI Anirban , You did fantastic job !! Congratulations. I have one question – I tried this out – even when unknown faces are presented to webcam it says the same name for which Id is defined and trained.. It does not say Unkown.. any clue – what I can modify to make it work ?

    Reply

  28. hola me puedes ayudar con este problema por favor:

    OpenCV Error: Bad argument (The number of samples (src) must equal the number of labels (labels). Was len(samples)=20, len(labels)=0.) in cv::LBPH::train, file ..\..\..\..\opencv\modules\contrib\src\facerec.cpp, line 791
    Traceback (most recent call last):
    File “trainner.py”, line 30, in
    recognizer.train(faces,Ids )
    cv2.error: ..\..\..\..\opencv\modules\contrib\src\facerec.cpp:791: error: (-5) The number of samples (src) must equal the number of labels (labels). Was len(samples)=20, len(labels)=0. in function cv::LBPH::train

    este es el codigo:

    import cv2,os
    import numpy as np
    from PIL import Image

    recognizer = cv2.createLBPHFaceRecognizer()
    detector= cv2.CascadeClassifier(“haarcascade_frontalface_default.xml”);

    path=’E:\Vision Artificial\dataSet’
    def getImagesAndLabels(path):
    imagePaths=[os.path.join(path,f) for f in os.listdir(path)]
    facesSamples=[]
    Ids=[]
    for imagePath in imagePaths:
    Image_pil=Image.open(imagePath).convert(‘L’)
    faceNp=np.array(Image_pil, ‘uint8’)

    Id=int(os.path.split(imagePath)[-1].split(“.”)[1])
    facesSamples=detector.detectMultiScale(faceNp)
    Ids.append(Id)
    cv2.imshow(‘entrenamiento’, faceNp)
    cv2.waitKey(10)
    return np.array(Ids), facesSamples

    faces, Ids = getImagesAndLabels(path)
    print(Ids)

    recognizer.train(faces,Ids )
    recognizer.save(‘recognizer/trainningData.yml’)

    cv2.destroyAllWindows()

    gracias

    Reply

    • In the “getImagesAndLabels” method
      you are returning “return np.array(Ids), facesSamples”

      but you switched the variables in this line
      “faces, Ids = getImagesAndLabels(path)”

      the order should be same
      Ids, faces = getImagesAndLabels(path)

      Reply

  29. hello Anriban
    in the training folder i have only pictures of one person, and i dont want to put any other pictures because i want the recognizer to return true or false when comparing with any other picture. i just want him to return True if the recognizer successfully recognize me other wise False.
    how could i do this
    Thx a lot
    Aladdin

    Reply

    • in the next tutorial I used a section where I put a condition “if(conf<50):" which is a threshold to determine how much confident the recognizer is about its prediction… thats your answer

      Reply

  30. Why is it that you have returned faceSamples from the function but are training with faces instead?
    Also conf50(and other values) seem to be working but not accurately. Help please?

    Reply

  31. How to improve the accuracy as it showing confidence around 80-100 and not lowering even with diverse dataset. Can LPBH be used to distinguish between 10-20 different people?

    Reply

    • I Never tested it with that many people.. and LPBH is not that much accurate.. its better than others in case of low data. but you will get much better performance with eigen face recognizer

      Reply

  32. Traceback (most recent call last):
    File “H:/face detection/trainer.py”, line 29, in
    recognizer.train(faces, Ids)
    TypeError: src is not a numpy array, neither a scalar

    please sir explain this error .

    my code here :
    import os
    import cv2
    import numpy as np

    import PIL
    from PIL import Image

    recognizer = cv2.face.LBPHFaceRecognizer_create()
    path = ‘dataSet’

    def getImagesWithID(path):
    imagePaths = [os.path.join(path,f) for f in os.listdir(path)]
    faces = []
    IDs = []
    for imagePath in imagePaths:
    faceImg = Image.open(imagePath).convert(‘L’)
    faceNp = np.array(faceImg, ‘uint8’)

    Id=int(os.path.split(imagePath)[-1].split(".")[1]) faces.append(faceNp) IDs.append(Id) <code>cv2.imshow('trainer',faceNp) cv2.waitKey(10)

    return np.array(IDs), faces

    faces, Ids = getImagesWithID(path)
    recognizer.train(faces, Ids)
    recognizer.save(‘recg/trainData.yml’)
    cv2.destroyAllWindows()

    Reply

  33. I have 2 images in my dataset, say image1 and image2. when I am training the recogniser, the 1st image with id=1 gets succesfully trained but for the 2nd image, when it is displayed on screen(due to cv2.imshow()), it is showing both the 1st image and 2nd image i.e both the images are displayed with a partition line in between, so the 1st image and 2nd image both gets id=2. how to solve this problem?

    Reply

  35. Thank you for sharing everything, much appreciated and grateful! I do face some issues and I hope you can help!

    import os
    import cv2
    import numpy as np
    from PIL import Image

    recognizer = cv2.createLBPHFaceRecognizer()
    path= ‘dataSet’

    def getImagesWithID(path):
    #get the path of all the files in the folder
    imagePaths=[os.path.join(path,f) for f in os.listdir(path)]
    #create empth face list
    faces=[]
    #create empty ID list
    IDs=[]
    #now looping through all the image paths and loading the Ids and the images
    for imagePath in imagePaths:
    token = imagePath.split(“.”)
    if(token[1]==’jpg’):
    #loading the image and converting it to gray scale
    faceImg=Image.open(imagePath).convert(‘L’);
    #Now we are converting the PIL image into numpy array
    faceNp=np.array(faceImg,’uint8′)
    #getting the Id from the image
    ID=int(os.path.split(imagePath)[-1].split(‘.’)[1])
    # ??? extract the face from the training image sample
    faces.append(faceNp)
    print ID
    IDs.append(ID)
    cv2.imshow(“training”, faceNp)
    cv2.waitKey(10)
    return IDs, faces

    Ids, faces = getImagesWithID(path)
    recognizer.train(faces, np.array(Ids))
    recognizer.save(‘recognizer/trainningData.yml’)
    cv2.destroyAllWindows()

    With the error:
    recognizer.train(faces, np.array(Ids))
    error: C:build2_4_winpack-bindings-win32-vc14-staticopencvmodulescontribsrcfacerec.cpp:917: error: (-210) Empty training data was given. You’ll need more than one sample to learn a model. in function cv::LBPH::train

    I do have images with id “1” in my dataSet folder so I’m not sure what is the issue!

    Reply

  36. please can you help me

    How to solve this error:
    Traceback (most recent call last):
    File “<pyshell#1>”, line 1, in
    recog = cv2.createLBPHFaceRecognizer()
    AttributeError: ‘module’ object has no attribute ‘createLBPHFaceRecognizer’

    Reply

  38. Traceback (most recent call last):
    File “trainner.py”, line 24, in
    recognizer.train(faces, np.array(Ids))
    TypeError: labels data type = 17 is not supported

    help ?

    Reply

  39. Hi Anirban,

    I am getting this error when i try running detector.py:
    C:Python27python.exe C:/Users/Admin/PycharmProjects/FullFaceID/detector.py
    OpenCV Error: Unspecified error (File can’t be opened for writing!) in cv::FaceRecognizer::load, file C:build2_4_winpack-bindings-win32-vc14-staticopencvmodulescontribsrcfacerec.cpp, line 398
    Traceback (most recent call last):
    File “C:/Users/Admin/PycharmProjects/FullFaceID/detector.py”, line 8, in
    recognizer.load(‘trainer/trainer.yml’)
    cv2.error: C:build2_4_winpack-bindings-win32-vc14-staticopencvmodulescontribsrcfacerec.cpp:398: error: (-2) File can’t be opened for writing! in function cv::FaceRecognizer::load

    Process finished with exit code 1

    Any reason why?

    Thanks in advance!

    Reply

  40. AttributeError: ‘module’ object has no attribute ‘createLBPHFaceRecognizer’

    plz tell me how to fix this error

    Reply

  42. what should I do if I have below error-

    error: C:build2_4_winpack-bindings-win32-vc14-staticopencvmodulescontribsrcfacerec.cpp:390: error: (-2) File can’t be opened for writing! in function cv::FaceRecognizer::save

    should I need to download face contrib??

    Reply

  43. I am 70 years old retired Telecom Engineer and my hobby is AI and Image processing. I am fascinated by your projects. I tried your Dataset Creator it works fine. But when I try your Trainer I get this error message, Please help.

    Reply

    • Hello Sir,
      I am guessing there is a hidden file named “Thumbs.db” that is auto generated by the operating system in the dataset folder. and the program is trying to load that as a sample image. Can you please check if you have the following line inside the for loop at the beginning. if its not there then please add it

      if(os.path.split(imagePath)[-1].split(“.”)[-1]!=’jpg’):
      continue

      Reply

      • Dear Mr. Anirban Kar, Thank you for your immediate reply. I tried the option you suggested but still the error exists. I give below your code I am trying, please correct me where I am wrong.
        Your Code:
        import os
        import cv2
        import numpy as np
        from PIL import Image

        recognizer=cv2.createLBPHFaceRecognizer();
        path=’dataSet’

        def getImagesWithID(path):
        imagePaths=[os.path.join(path,f) for f in os.listdir(path)]
        faces=[]
        IDs=[]
        for imagePath in imagePaths:
        if(os.path.split(imagePath)[-1].split(“.”)[-1]!=’jpg’):
        faceImg=Image.open(imagePath).convert(‘L’);
        faceNp=np.array(faceImg, ‘uint8’)
        ID=int(os.path.split(imagePath) [-1] .split(‘.’)[1])
        faces.append(faceNp)
        print ID
        IDs.append(ID)
        cv2.imshow(“training”,faceNp)
        cv2.waitKey(10)
        return IDs, faces

        Ids,faces=getImagesWithID(path)
        recognizer.train(faces,np.array(Ids))
        recognizer.save(‘recognizer/trainner.yml’)
        cv2.destroyAllWindows()

        Reply

          • Thanks again for your concern and help. Now I am getting this error message, kindly help me. With Great Regards.
            Traceback (most recent call last):
            File “C:UsersMainUserDesktopABC_Facetrainer_02A.py”, line 27, in
            recognizer.train(faces,np.array(Ids))
            error: C:build2_4_winpack-bindings-win32-vc14-staticopencvmodulescontribsrcfacerec.cpp:917: error: (-210) Empty training data was given. You’ll need more than one sample to learn a model. in function cv::LBPH::train

            >

  44. Hello Anirban. I’ve tried to follow your tutorial here, but I got this error message

    Traceback (most recent call last):
    File “/home/pi/pythonpy/videofacedet/craft/codacus/trainer.py”, line 32, in
    faces,Ids = getImagesAndLabels(‘trainingImage’)
    File “/home/pi/pythonpy/videofacedet/craft/codacus/trainer.py”, line 24, in getImagesAndLabels
    faces=detector.detectMultiScale(imageNp)
    error: /home/pi/opencv-3.1.0/modules/objdetect/src/cascadedetect.cpp:1639: error: (-215) !empty() in function detectMultiScale

    I did not use the dataset creator like you did, but I create my data set manually by taking some pictures with a camera, then put them in my dataset folder. Then I put them together in a folder. Can you help me to fix this problem please?

    Reply

  45. Hi Anirban .I’m using python 3.5 .After creating the dataset and trying to open the image in the dataset folder it gives me the message as :The file’s encoding is invalid for python 3.x.How can i solve this issue because while training the recogniser it gives the message as dataset is empty.

    Reply

  46. First thank you for the tutorial, i followed the python 3.5 version you provided from github, and exept some errors in the code that i managed to solve quickly i can’t really figure out why the face_recognition.py, which bt the way runs, gives me always the same result whether a face is the mine or not the result always give me id1 if you can tell me how to solve this problem i would be grateful

    Thank you in advance

    Reply

  47. Sir Anirban, regarding with the trainer.yml file. Can I get any unique output in recognizer.predict() if there is no registered face in that file? Because I created an array of id (id=recognizer.predict()) and it gives random id if it detects unregistered face in the yml. I hope you’ll reply back. Thanks for making this tutorial!

    Reply

  50. hello every one those who are facing issue with recognizer = cv2.createLBPHFaceRecognizer() , i have solution for it you need to install 2 library.
    pip install face
    pip install opencv-contrib-python
    then it depend on your version which open cv you are using if it is 3 or above use this code.
    recognizer1 = cv2.face.LBPHFaceRecognizer_create()
    thankyou.

    Reply

  52. Traceback (most recent call last):
    File “D:FACE_RECOGNITIONtrainer.py”, line 39, in
    recognizer.train(faces, np.array(Ids))
    TypeError: labels data type = 18 is not supported

    please help with this only one error is there everything int he code is fine

    Reply

  53. Traceback (most recent call last):
    File “F:FACE RECOGNITION SYSTEMface recognitiontrainer.py”, line 27, in
    recognizer.train(faces,IDs)
    TypeError: labels data type = 18 is not supported

    how to remove this error

    Reply

  54. unable to save trainningData.yml int he folder recognizer – recognizer.save(‘recognizer/trainningData.yml’)

    Reply

  56. Hi, I have a problem that does not let me cv2.face.LBPHFaceRecognizer_create () and I try to do it in several ways but it does not let me, which with cv2.LineSegmentDetector () if it goes to the video part 6:33, but at the end of the video mark an error
    Traceback (most recent call last):
    File “C: /Users/CharyMricroCode/PycharmProjects/opencv/Recognition/trainner.py”, line 25, in
    Ids, faces = getImagesWithID (path)
    File “C: /Users/CharyMricroCode/PycharmProjects/opencv/Recognition/trainner.py”, line 17, in getImagesWithID
    faceNp = np.array (faceImg, ‘unit8’)
    TypeError: data type “unit8” not understood

    if I add in the part 17faceNp = np.array_equal (faceImg, ‘unit8’)
    just marks an error in train

    recognizer.train (faces, np.array (Ids))
    AttributeError: ‘cv2.LineSegmentDetector’ object has no attribute ‘train’

    could you help me please, to continue with the course
    I do not speak English very well.

    Reply

  57. Hi, I have a problem that does not let me cv2.face.LBPHFaceRecognizer_create () and I try to do it in several ways but it does not let me, which with cv2.LineSegmentDetector () if it goes to the video part 6:33, but at the end of the video mark an error
    Traceback (most recent call last):
    File “C: /Users/CharyMricroCode/PycharmProjects/opencv/Recognition/trainner.py”, line 25, in
    Ids, faces = getImagesWithID (path)
    File “C: /Users/CharyMricroCode/PycharmProjects/opencv/Recognition/trainner.py”, line 17, in getImagesWithID
    faceNp = np.array (faceImg, ‘unit8’)
    TypeError: data type “unit8” not understood

    if I add in the line 17faceNp = np.array_equal (faceImg, ‘unit8’)
    just marks an error in train

    recognizer.train (faces, np.array (Ids))
    AttributeError: ‘cv2.LineSegmentDetector’ object has no attribute ‘train’

    could you help me please, to continue with the course
    I do not speak English very well.

    all this in python 3.6

    https://uploads.disquscdn.com/images/7bbcccefec527e23b3cb4f2081e827048c4aab7f1b1a20977689f4567fa683c9.png

    Reply

Trackbacks

Leave a Reply

Your email address will not be published. Required fields are marked *