OpenCV python 模块错误

Question

该代码是借助haar级联算法进行人脸检测和识别。运行在 OpenCV 3.2.0 和 Python 2.7 上。投掷 Module Error

有没有人可以帮助我，这对我有很大的帮助。谢谢。

# 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

在我看来，您似乎没有注意自己代码中的注释。错误消息告诉您模块 cv2 没有定义 face 并且注释似乎警告了同样的事情。

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

如果您注意评论和代码会发生什么

model = cv2.createFisherFaceRecognizer()

代替？

Answer 2

我只是通过从 github 安装 opencv_Contrib zip 来解决错误。

OpenCV python 模块错误

OpenCV python module error

opencv

face-recognition

face-detection

python-2.7

haar-classifier