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Python AttributeError: module 'cv2' has no attribute 'cv'

I am trying to create a face detection model using OpenCV, Python. This is the code:
import cv2
import sys
# Get user supplied values
imagePath = "elon_musk.jpg"
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.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)
print("Found {0} faces!".format(len(faces)))
I am facing this error while running:
Traceback (most recent call last): File "[PATH]", line 21, in
<module>
flags = cv2.cv.CV_HAAR_SCALE_IMAGE AttributeError: module 'cv2' has no attribute 'cv'
Can anyone help?

OpenCV (Python) face detection program not terminating

I have been writing a face detection program in python using OpenCV. It is working fine, but the program is not terminating after closing the window in which faces are detected.
I have tried cv2.destroyAllWindows() and sys.exit(0) also, but nothing is working. I can't find any solution in the internet.
I am using python 3.8 and openCV 4.2.0.
Below is my code
import cv2
import sys
# Get user supplied values
imagePath = "../training_images/1/bla.jpg"
cascPath = "../HaarCascade/haarcascade_frontalface_alt.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.CASCADE_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)
cv2.destroyAllWindows()
sys.exit(0)
Please help me.

opencv cascadeclassifier not loading .xml file

I've been trying to load the .xml file on cascadeclassifier but it wont work.
Solutions on internet include using \ or / in file path but that does not work for me either
#creating a cascade classifier object
fc = 'C:/Users/abc/Desktop/cv/opencv/data/haarcascades/haarcascade_frontalcatface_default.xml'
face_cascade = cv2.CascadeClassifier(fc)
img1 = cv2.imread("images.jpg")
grayImg = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(grayImg, scaleFactor=1.05, minNeighbors = 5)
for x,y,w,h in faces:
img1 = cv2.rectangle(img, (x,y), (x+w, y+h), (255,0,0), 3)
resizedd = cv2.resize(img1, (int(img1.shape[1]*7), int(img1.shape[0]*7)))
cv2.imshow("gray", resizedd)
cv2.waitKey(0)
cv2.destroyAllWindows()
also tried:
#creating a cascade classifier object
face_cascade = cv2.CascadeClassifier('C:/Users/abc/Desktop/cv/opencv/data/haarcascades/haarcascade_frontalcatface_default.xml')
img1 = cv2.imread("images.jpg")
grayImg = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(grayImg, scaleFactor=1.05, minNeighbors = 5)
for x,y,w,h in faces:
img1 = cv2.rectangle(img, (x,y), (x+w, y+h), (255,0,0), 3)
resizedd = cv2.resize(img1, (int(img1.shape[1]*7), int(img1.shape[0]*7)))
cv2.imshow("gray", resizedd)
cv2.waitKey(0)
cv2.destroyAllWindows()

'detectMultiScale' requires a 'cv2.CascadeClassifier' object but received a 'numpy.ndarray'

I am new to opencv and am trying to detect a face in an image however I am having problems with this line of code
faces = cv2.CascadeClassifier.detectMultiScale(gray_img, scaleFactor=1.05, minNeighbors=5, minSize=(1,1))
I get this error
TypeError: descriptor 'detectMultiScale' requires a 'cv2.CascadeClassifier' object but received a 'numpy.ndarray'
I have tried doing research on this error however nothing seems to tell me why this is happening and how to fix it.
full code
import cv2
img = cv2.imread("C:\\Users\\Astroid\\Desktop\\.py pics\\pic.jpg")
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faceCascade = cv2.CascadeClassifier('C:\\Users\\Astroid\\AppData\\Local\\Programs\\Python\\Python37-32\\Lib\\site-packages\\cv2\\data\\haarcascade_frontalface_default.xml')
faces = faceCascade.detectMultiScale(
gray_img,
scaleFactor=1.1,
minNeighbors=5,
minSize=(10, 10)
flags=cv2.CASCADE_SCALE_IMAGE
)
print(type(faces))
print(faces)
for x, y, w, h in faces:
img = cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 3)
cv2.imshow("pic", img)
cv2.waitKey(0)
cv2.destroyAllWindows()

If i'm not so wrong, i guess you have not mentioned the CascadeClassifier in your code.
e.g.
# Classifier you want to use
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
...
...
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE
)
...
Here's a code that executes:
import cv2
# don't add 1 in arg
img = cv2.imread("your path to the image")
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faceCascade = cv2.CascadeClassifier('your Path to
haarcascade_frontalface_default.xml')
faces = faceCascade.detectMultiScale(
gray_img,
scaleFactor=1.1,
minNeighbors=5,
minSize=(10, 10)
flags=cv2.CASCADE_SCALE_IMAGE
)
print(type(faces))
print(faces)
for x, y, w, h in faces:
img = cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 3)
cv2.imshow("pic", img)
cv2.waitKey(0)
cv2.destroyAllWindows()

so after all that, I tweaked with the code a bit and I honestly have no idea what was wrong but here is the final working code.
import cv2
img = cv2.imread("C:\\Users\\Astroid\\Desktop\\.py pics\\image.png")
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faceCascade =
cv2.CascadeClassifier('C:\\Users\\Astroid\\AppData\\Local\\Programs\\Python\\Python37-32\\Lib\\site-packages\\cv2\\data\\haarcascade_frontalface_default.xml')
faces = faceCascade.detectMultiScale(
gray_img,
scaleFactor=1.1,
minNeighbors=5,
)
print(type(faces))
print(faces)
for x, y, w, h in faces:
img = cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 3)
cv2.imshow("image", img)
cv2.waitKey(0)
cv2.destroyAllWindows()

python 2.7 and opencv code gives cvtcolor error

faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
video_capture = cv2.VideoCapture(0)
while True:
ret, frame = video_capture.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
frame,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.cv.CV_HAAR_SCALE_IMAGE
)
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
# Display the resulting frame
cv2.imshow('Video', frame)
if cv2.waitKey(1)==ord('e'):
break
code gives this error, please help me
Traceback (most recent call last): File
"C:\Users\yavuz\Desktop\sor\sor2.pyw", line 15, in
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) error: ........\opencv\modules\imgproc\src\color.cpp:3737: error: (-215)
scn == 3 || scn == 4 in function cv::cvtColor

You need to check if "ret == True' before going on with cvtColor. The code should look like this:
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
video_capture = cv2.VideoCapture(0)
while True:
ret, frame = video_capture.read()
if ret == True:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
frame,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.cv.CV_HAAR_SCALE_IMAGE
)
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
# Display the resulting frame
cv2.imshow('Video', frame)
if cv2.waitKey(1)==ord('e'):
break