OpenCV, выделить рамку с датой

# import the necessary packages
import numpy as np
import cv2
 
 
# load the image
image = cv2.imread("6_res_wb.jpg")
 
# find all the 'color' shapes in the image
lower = np.array([240, 240, 240])  # (color - B G R)
upper = np.array([255, 255, 255])  # (color - B G R)
shapeMask = cv2.inRange(image, lower, upper)
 
# find the contours in the mask
contours, hierarchy = cv2.findContours(shapeMask.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
 
# loop over the contours
for contour in contours:
    approx = cv2.approxPolyDP(contour, 0.01 * cv2.arcLength(contour, True), True)
 
    x = approx.ravel()[0]
    y = approx.ravel()[1] - 5
 
    if len(approx) == 3:
        x, y, w, h = cv2.boundingRect(contour)
        # cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 255), 2)
 
        # cv2.putText(image, "Triangle", (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.5, (0, 0, 0))
    elif len(approx) == 4:
        x, y, w, h = cv2.boundingRect(approx)
        aspectRatio = float(w) / h
        # print(aspectRatio)
        if 0.95 <= aspectRatio < 1.05:  # square
            x, y, w, h = cv2.boundingRect(contour)
            # cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
 
            # cv2.putText(image, "square", (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.5, (0, 0, 0))
 
        else:  # rectangle
            x, y, w, h = cv2.boundingRect(contour)
            # cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)
 
            # cv2.putText(image, "rectangle", (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.5, (0, 0, 0))
 
    elif len(approx) == 5:  # pentagon
        x, y, w, h = cv2.boundingRect(contour)
        # cv2.rectangle(image, (x, y), (x + w, y + h), (255, 0, 255), 2)
 
        # cv2.putText(image, "pentagon", (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.5, (0, 0, 0))
 
    elif len(approx) == 10:  # star
        x, y, w, h = cv2.boundingRect(contour)
        # cv2.rectangle(image, (x, y), (x + w, y + h), (200, 200, 200), 2)
 
        # cv2.putText(image, "star", (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.5, (0, 0, 0))
 
    else:  # circle
        _cnt = cv2.contourArea(contour)
        if 9400 < _cnt < 11000:
            print(len(approx))
            print(_cnt)
            x, y, w, h = cv2.boundingRect(contour)
            cv2.rectangle(image, (x, y), (x + w, y + h), (255, 0, 0), 2)
 
            # cv2.putText(image, "circle", (x, y), cv2.FONT_HERSHEY_COMPLEX, 0.5, (0, 0, 0))
 
cv2.imshow('shapes', image)
cv2.waitKey(0)
cv2.destroyAllWindows()

import cv2
 
image=cv2.imread('2021-08-06_134748 .png')
image_hsv=cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
lower = (106, 65, 123)  # (color -hsv)
upper = (126, 160, 188)  # (color - hsv)
shapeMask = cv2.inRange(image_hsv, lower, upper)
rect=cv2.boundingRect(shapeMask)
image=cv2.rectangle(image, rect, (255,0,255), 2)
cv2.imshow('image', image)
cv2.imwrite('res.png', image)