OpenCV python module error

Question

The code is for face detection and recognition with the help of haar cascade algorithm. Running on OpenCV 3.2.0 and Python 2.7. Throwing a Module Error

Is there anybody who can help me out, it will be big help for me. Thank you.

# facerec.py
import cv2, sys, numpy, os
size = 1
fn_haar = 'haarcascade_frontalface_default.xml'
fn_dir = 'att_faces'

# Part 1: Create fisherRecognizer
print('Training...')

# Create a list of images and a list of corresponding names
(images, lables, names, id) = ([], [], {}, 0)

# Get the folders containing the training data
for (subdirs, dirs, files) in os.walk(fn_dir):

    # Loop through each folder named after the subject in the photos
    for subdir in dirs:
        names[id] = subdir
        subjectpath = os.path.join(fn_dir, subdir)

        # Loop through each photo in the folder
        for filename in os.listdir(subjectpath):

            # Skip non-image formates
            f_name, f_extension = os.path.splitext(filename)
            if(f_extension.lower() not in
                    ['.png','.jpg','.jpeg','.gif','.pgm']):
                print("Skipping "+filename+", wrong file type")
                continue
            path = subjectpath + '/' + filename
            lable = id

            # Add to training data
            images.append(cv2.imread(path, 0))
            lables.append(int(lable))
        id += 1
(im_width, im_height) = (112, 92)

# Create a Numpy array from the two lists above
(images, lables) = [numpy.array(lis) for lis in [images, lables]]

# OpenCV trains a model from the images
# NOTE FOR OpenCV2: remove '.face'
model = cv2.face.createFisherFaceRecognizer()
model.train(images, lables)




# Part 2: Use fisherRecognizer on camera stream
haar_cascade = cv2.CascadeClassifier(fn_haar)
webcam = cv2.VideoCapture(0)
while True:

    # Loop until the camera is working
    rval = False
    while(not rval):
        # Put the image from the webcam into 'frame'
        (rval, frame) = webcam.read()
        if(not rval):
            print("Failed to open webcam. Trying again...")

    # Flip the image (optional)
    frame=cv2.flip(frame,1,0)

    # Convert to grayscalel
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Resize to speed up detection (optinal, change size above)
    mini = cv2.resize(gray, (int(gray.shape[1] / size), int(gray.shape[0] / size)))

    # Detect faces and loop through each one
    faces = haar_cascade.detectMultiScale(mini)
    for i in range(len(faces)):
        face_i = faces[i]

        # Coordinates of face after scaling back by `size`
        (x, y, w, h) = [v * size for v in face_i]
        face = gray[y:y + h, x:x + w]
        face_resize = cv2.resize(face, (im_width, im_height))

        # Try to recognize the face
        prediction = model.predict(face_resize)
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 3)

        # [1]
        # Write the name of recognized face
        cv2.putText(frame,
           '%s - %.0f' % (names[prediction[0]],prediction[1]),
           (x-10, y-10), cv2.FONT_HERSHEY_PLAIN,1,(0, 255, 0))

    # Show the image and check for ESC being pressed
    cv2.imshow('OpenCV', frame)
    key = cv2.waitKey(10)
    if key == 27:
        break

Answer 1

It looks to me like you have not heeded the comment in your own code. The error message tells you that the module cv2 does not define face and the comment seems to warn about the same thing.

# NOTE FOR OpenCV2: remove '.face'
model = cv2.face.createFisherFaceRecognizer()

What happens if you heed the comment and code

model = cv2.createFisherFaceRecognizer()

instead?