Attribute error while using opencv for face recognition

Question

I am teaching myself how to use openCV by writing a simple face recognition program I found on youtube. I have installed opencv version 2 as well as numpy 1.8.0. I am using python 2.7.

I copyed this code exactly how it was done in the video and article links below, yet I keep getting errors.

AttributeError: 'module' object has no attribute 'cv'

What am I doing wrong? Here is the code I'm using.

import cv2
import sys

# Get user supplied values
imagePath = sys.argv[1]
cascPath = sys.argv[2]

# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)

# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Detect faces in the image
faces = (faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.1,
    minNeighbors=5,
    minSize=(30, 30),
    flags = cv2.cv.CV_HAAR_SCALE_IMAGE)
)

print "Found {0} faces!".format(len(faces))

# Draw a rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

cv2.imshow("Faces found", image)
cv2.waitKey(0)

https://www.youtube.com/watch?v=IiMIKKOfjqE

https://realpython.com/blog/python/face-recognition-with-python/

With the error you are getting, it would seem you are using OpenCV 3.x, not OpenCV 2.x. In a python interpreter, issue the command `cv2.__version__` to verify. — svohara, Mar 27 '16 at 03:58

svohara · Accepted Answer · 2016-03-27T04:02:44.953

The latest openCV no longer allows importing the legacy cv module. Furthermore the naming convention of the constants generally does away with the leading "CV_..." and several/many of the names have been altered somewhat. I think you are running into both problems.

Specifically, the error you are reporting is in regards to this expression in your code: cv2.cv.CV_HAAR_SCALE_IMAGE. This expression is trying to find the named constant CV_HAAR_SCALE_IMAGE within the cv submodule of the cv2 package you imported. But alas, there is no cv2.cv anymore.

In openCV 3, I believe this constant is now referenced as follows: cv2.CASCADE_SCALE_IMAGE

Also, you may find this link useful. It is to the facedetect.py sample script found in the OpenCV source code. You can see the usage of the new constant name in this example, and you may also inspect it for other changes from older sources/tutorials.

score 2 · Answer 2 · answered Jan 23 '21 at 20:34

This code is working fine for me i'm using the opencv3 lib, please try it

import cv2
import sys
 # Get user supplied values
imagePath = sys.argv[1]
cascPath = sys.argv[2]
# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)
# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Detect faces in the image
faces = faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.1,
    minNeighbors=5,
    minSize=(30, 30),
    flags=cv2.CASCADE_SCALE_IMAGE
)

# Draw a rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.imshow("Faces found", image)
cv2.waitKey(0)

score 0 · Answer 3 · answered Mar 03 '17 at 03:19

Here is the updated code which works into jupyter notebook with OpenCV3:

[]
import cv2
import matplotlib.pyplot as plt
%matplotlib inline 

[]
# Get user supplied values
imagePath = "abba.png"
cascPath = "haarcascade_frontalface_default.xml"

[]
# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)

[]
# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)

[]
# Read the image
image = cv2.imread(imagePath)

[]
plt.imshow(image)
plt.show()

[]
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

[]
# Detect faces in the image
faces = faceCascade.detectMultiScale(
   gray,
   scaleFactor=1.1,
   minNeighbors=5,
   minSize=(30, 30),
   flags = cv2.CASCADE_SCALE_IMAGE #flags = cv2.cv.CV_HAAR_SCALE_IMAGE
)

[]
print("Found {0} faces!".format(len(faces)))


[]
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

[]
plt.imshow(image)
plt.show()

Sorry, I got error as follows: OpenCV(3.4.4) C:\projects\opencv-python\opencv\modules\objdetect\src\cascadedetect.cpp:1698: error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'. — ah bon, Dec 18 '18 at 09:36

score 0 · Answer 4 · answered Oct 31 '20 at 15:49

0

Appears that the haarcascades aren't downloaded.

https://github.com/opencv/opencv/tree/master/data/haarcascades

Download the haarcascades available in the above link, should work for Open CV 4.2.0

Please read the Licence Agreement mentioned in the xml

answered Oct 31 '20 at 15:49

Hansford Rodrigues

1
1

2

Welcome to SO! When you are about to answer an old question (this one is almost 5 years old) that already has an accepted answer (that is the case here) please ask yourself: Do I really have a substantial improvement to offer? If not, consider refraining from answering. – Timus Oct 31 '20 at 16:24

score 0 · Answer 5 · answered Apr 13 '21 at 12:16

This code works well for me :

import cv2

imagePath = (
"path to image")
cascPath = ("..\haarcascade_frontalface_default.xml")

# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)
# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Detect faces in the image
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
# flags = cv2.CV_HAAR_SCALE_IMAGE
)
# print "Found {0} faces!".format(len(faces))
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.imshow("Faces found", image)
cv2.waitKey(0)

Attribute error while using opencv for face recognition

5 Answers5

Linked