How to crop image depends on Bounding boxes - python-3.x

Question

I would like to divide image based on the bounding boxes. Image consist of column name and row, but column don't have any border so depends on gap it should divide
I am able to identify the bounding box, I am not understanding on what bases image should be cropped
large = cv2.imread("../forms/demo_1/crop/abc.jpg")
rgb = large
small = cv2.cvtColor(rgb, cv2.COLOR_BGR2GRAY)
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3))
grad = cv2.morphologyEx(small, cv2.MORPH_GRADIENT, kernel)
_, bw = cv2.threshold(grad, 0.0, 255.0, cv2.THRESH_BINARY | cv2.THRESH_OTSU)
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 1))
connected = cv2.morphologyEx(bw, cv2.MORPH_CLOSE, kernel)
contours, hierarchy = cv2.findContours(connected.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
mask = np.zeros(bw.shape, dtype=np.uint8)
for idx in range(len(contours)):
x, y, w, h = cv2.boundingRect(contours[idx])
mask[y:y+h, x:x+w] = 0
cv2.drawContours(mask, contours, idx, (255, 255, 255), -1)
r = float(cv2.countNonZero(mask[y:y+h, x:x+w])) / (w * h)
if r > 0.4 and w > 3 and h > 8:
cv2.rectangle(rgb, (x, y), (x+w-1, y+h-1), (0, 255, 0), 2)
print(x,y,x+w,y+h)
cv2.imshow('rects', rgb)
cv2.waitKey()
cv2.destroyAllWindows()
Input:
Output:

Answer 1

This is how you crop a rectangle from an image in OpenCV (see also this tutorial):
import cv2
large = cv2.imread("../forms/demo_1/crop/abc.jpg")
# ... your code
for idx in range(len(contours)):
# ... your code to calculate x, y, w, g
# example values. Use your calculated values here
x, y, w, h = 0, 0, 60, 250
crop = large[x:x+w, y:y+h]
cv2.imshow('crop', crop)
cv2.waitKey()