[SOLVED]I have downgraded python from 3.7 to 3.5,but my cropping code for image pre-processing doesn't seem to work with the lesser version

edit

this is my code

 import cv2
 import numpy as np

img1 = cv2.imread('C:\\Users\\LENOVO\\assertive and mild\\111.jpeg')
img = cv2.imread('C:\\Users\\LENOVO\\assertive and mild\\111.jpeg',0)
gray = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray, 50, 255, cv2.THRESH_BINARY)

# Create mask
height,width = 137,137
mask = np.zeros((height,width), np.uint8)

edges = cv2.Canny(thresh, 100, 200)
#cv2.imshow('detected ',gray)
cimg=cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
circles = cv2.HoughCircles(edges, cv2.HOUGH_GRADIENT, 1, 10000, param1 = 50, param2 = 30, minRadius = 0, maxRadius = 0)
for i in circles[0,:]:
i[2]=i[2]+4
# Draw on mask
cv2.circle(mask,(i[0],i[1]),i[2],(255,255,255),thickness=-1)

 # Copy that image using that mask
 masked_data = cv2.bitwise_and(img1, img1, mask=mask)

 # Apply Threshold
_,thresh = cv2.threshold(mask,1,255,cv2.THRESH_BINARY)

# Find Contour
contours = cv2.findContours(thresh,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
x,y,w,h = cv2.boundingRect(contours[0])

# Crop masked_data
crop = masked_data[y:y+h,x:x+w]

#Code to close Window
cv2.imshow('detected Edge',img1)
cv2.imshow('Cropped face',crop)

cv2.waitKey(0)
cv2.imwrite('C:\\Users\\LENOVO\\assertive and mild\\cropped111.jpeg',crop)
cv2.destroyAllWindows()

it is giving the follwoing error on running the code: > TypeError

<ipython-input-5-1cb58adf5ed7> in <module>
 29 # Find Contour
 30 contours = cv2.findContours(thresh,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
 ---> 31 x,y,w,h = cv2.boundingRect(contours[0])
 32 
 33 # Crop masked_data

TypeError: Expected cv::UMat for argument 'array'

this code was producing the right results on python 3.7 but for tensorflow i had to downgrade it to python 3.5 but now this is giving me errors.