运行 opencv 示例时出现“功能/功能未实现”错误答案

【问题标题】："The function/feature is not implemented" error when running opencv example运行 opencv 示例时出现“功能/功能未实现”错误
【发布时间】：2020-12-01 00:34:24
【问题描述】：

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, 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, (x, y), (x + w, y + h), (0, 255, 0), 3) 
        if prediction[1]<500: 
             cv2.putText(im, '% s' % 
                         (names[prediction[0]]), (x-10, y-10),  
                         cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0)) 
        else: 
            cv2.putText(im, 'not recognized',  
                        (x-10, y-10), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 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'?

提前谢谢你。

【问题讨论】：

不是 OpenCV 专家。我只建议你对你的问题多加一点爱。解释代码应该做什么，这样它也可以帮助其他人。还要正确格式化回溯。我相信人们会很乐意帮助你的。
好的。我会努力这样做的
错误消息说“请将图像数据作为灰度图像传递！”，这很可能是您需要做的。

标签： python-3.x opencv

【解决方案1】：

这可能会解决问题。如果它不起作用，请使用 8 或 16 的大小（宽度和高度）倍数，让我知道你需要将测试和训练图像都转换为灰色尝试它也可以工作。

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, 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, (x, y), (x + w, y + h), (0, 255, 0), 3) 
            if prediction[1]<500: 
               cv2.putText(im, '% s' % 
    (names[prediction[0]]), (x-10, y-10),  
    cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0)) 
            else: 
              cv2.putText(im, 'not recognized',  
    (x-10, y-10), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0)) 
        cv2.imshow('OpenCV', im) 
        key = cv2.waitKey(10) 
        if key == 27: 
            break

cv2.destroyAllWindows()

【讨论】：

【解决方案2】：

我知道该怎么做。

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

必须添加“0”。

【讨论】：