运行opencv示例时出现“功能/功能未实现”错误

如何解决运行opencv示例时出现“功能/功能未实现”错误

运行以下代码时出现以下错误：

import cv2,sys,numpy,os 
haar_file = 'haarcascade_frontalface_default.xml'
datasets = 'datasets'
print('Recognizing Face Please Be in sufficient Lights...') 
(images,lables,names,id) = ([],[],{},0) 
for (subdirs,dirs,files) in os.walk(datasets): 
    for subdir in dirs: 
        names[id] = subdir 
        subjectpath = os.path.join(datasets,subdir) 
        for filename in os.listdir(subjectpath): 
            path = subjectpath + '/' + filename 
            lable = id
            images.append(cv2.imread(path)) 
            lables.append(int(lable)) 
        id += 1
(width,height) = (130,100) 
(images,lables) = [numpy.array(lis) for lis in [images,lables]] 
model = cv2.face.LBPHFaceRecognizer_create() 

model.train(images,lables) # error comes here

face_cascade = cv2.CascadeClassifier(haar_file) 
webcam = cv2.VideoCapture(0) 
while True: 
    (_,im) = webcam.read() 
    gray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY) 
    faces = face_cascade.detectMultiScale(gray,1.3,5) 
    for (x,y,w,h) in faces: 
        cv2.rectangle(im,(x,y),(x + w,y + h),(255,0),2) 
        face = gray[y:y + h,x:x + w] 
        face_resize = cv2.resize(face,(width,height)) 
        prediction = model.predict(face_resize) 
        cv2.rectangle(im,(0,255,3) 
        if prediction[1]<500: 
             cv2.putText(im,'% s' % 
                         (names[prediction[0]]),(x-10,y-10),cv2.FONT_HERSHEY_PLAIN,1,0)) 
        else: 
            cv2.putText(im,'not recognized',0)) 
            cv2.imshow('OpenCV',im) 
            key = cv2.waitKey(10) 
            if key == 27: 
                break

cv2.destroyAllWindows()

弹出的错误是：

Traceback (most recent call last):
  File "Y:\vigyantram\AI-20200807T104521Z-001\AI\img processing1\face_recognize.py",line 19,in <module>
    model.train(images,lables)
cv2.error: OpenCV(4.3.0) C:\projects\opencv-python\opencv_contrib\modules\face\src\lbph_faces.cpp:265: error: (-213:The function/feature is not implemented) Using Original Local Binary Patterns for feature extraction only works on single-channel images (given 16). Please pass the image data as a grayscale image! in function 'cv::face::elbp'?

谢谢。

解决方法

这可以解决问题。使用大小（宽度和高度）的8或16的倍数，如果它不起作用，请告知我需要将测试图像和训练图像都转换为灰色，尝试也可以。

import cv2,sys,numpy,os 
    haar_file = 'haarcascade_frontalface_default.xml'
    datasets = 'datasets'
    print('Recognizing Face Please Be in sufficient Lights...') 
    (images,lables,names,id) = ([],[],{},0) 
    for (subdirs,dirs,files) in os.walk(datasets): 
        for subdir in dirs: 
            names[id] = subdir 
            subjectpath = os.path.join(datasets,subdir) 
            for filename in os.listdir(subjectpath): 
                path = subjectpath + '/' + filename 
                lable = id
                images.append(cv2.imread(path)) 
                lables.append(int(lable)) 
            id += 1

    (width,height) = (200,200) #here 200 is multiple of 8
    (images,lables) = [numpy.array(lis) for lis in [images,lables]] 
    model = cv2.face.LBPHFaceRecognizer_create() 
    model.train(images,lables) #error comes here
    face_cascade = cv2.CascadeClassifier(haar_file) 
    webcam = cv2.VideoCapture(0) 
    while True: 
        (_,im) = webcam.read() 
        gray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY) 
        faces = face_cascade.detectMultiScale(gray,1.3,5) 
        for (x,y,w,h) in faces: 
            cv2.rectangle(im,(x,y),(x + w,y + h),(255,0),2) 
            face = gray[y:y + h,x:x + w] 
            face_resize = cv2.resize(face,(width,height)) 
            prediction = model.predict(face_resize) 
            cv2.rectangle(im,(0,255,3) 
            if prediction[1]<500: 
               cv2.putText(im,'% s' % 
    (names[prediction[0]]),(x-10,y-10),cv2.FONT_HERSHEY_PLAIN,1,0)) 
            else: 
              cv2.putText(im,'not recognized',0)) 
        cv2.imshow('OpenCV',im) 
        key = cv2.waitKey(10) 
        if key == 27: 
            break

cv2.destroyAllWindows()

,

我知道该怎么做。

images.append(cv2.imread(path,0))

必须添加“ 0”。