运行 OpenCV 示例时出现"The function/feature is not implemented"错误

Question

运行以下代码时，我得到以下错误：

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:vigyantramAI-20200807T104521Z-001AIimg processing1face_recognize.py", line 19, in <module>
model.train(images, lables)
cv2.error: OpenCV(4.3.0) C:projectsopencv-pythonopencv_contribmodulesfacesrclbph_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。

Answer 1

这可能会解决问题。如果不起作用，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。尝试一下，它也会起作用。

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()

Answer 2

我知道该怎么做了。

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

必须添加"0"。