I am trying to learn face detection and I got this code from GeeksforGeeks tutorial. However When I run one of the two files, it shows the error AttributeError: module 'cv2' has no attribute 'LBPHFaceRecognizer_create'. I tried uninstalling open cv, installing pip install opencv-contrib-python as well as reinstalling open cv and running it. I am currently running open cv2 4.5.5. The tutorial advised to remove the '.face' from cv2.face.LBPHFaceRecognizer_create()
for running cv2, however when I run it with .face, it displays module 'cv2' has no attribute 'face'. Please, someone, help me with this
# It helps in identifying the faces
import cv2, sys, numpy, os
from cv2 import *
size = 4
haar_file = 'haarcascade_frontalface_default.xml'
datasets = 'datasets'
# Part 1: Create fisherRecognizer
print('Recognizing Face Please Be in sufficient Lights...')
# Create a list of images and a list of corresponding names
(images, labels, 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
label = id
images.append(cv2.imread(path, 0))
labels.append(int(label))
id = 1
(width, height) = (130, 100)
# Create a Numpy array from the two lists above
(images, labels) = [numpy.array(lis) for lis in [images, labels]]
# OpenCV trains a model from the images
# NOTE FOR OpenCV2: remove '.face'
model = cv2.LBPHFaceRecognizer_create()
model.train(images, labels)
for i in range[0, 20]:
if i<10:
print(i)
i = 1
else:
print('Done wit it')
# Part 2: Use fisherRecognizer on camera stream
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))
# Try to recognize the face
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 - %.0f' % (names[prediction[0]], prediction[1]), (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
CodePudding user response:
I think that you may need to explicitly state "cv2.face" not just "face..."
model = cv2.face.LBPHFaceRecognizer_create()
before doing so...did you confirm that you have a version of Opencv installed that contains the module Face? You can check like this:
import cv2
functions = dir(cv2)
for f in functions:
print (f)
and if not...install like this:
pip uninstall opencv-contrib-python
pip install opencv-contrib-python
CodePudding user response:
Try this:
face_recognizer = cv2.face_LBPHFaceRecognizer()
model = face_recognizer.create()