I get the following find contours error in opencv python

Question

I'm working on a line segmentation project from handwritten text image input. This openCV error being produced when I try to run the program. I have no experience working with openCV contours :

Traceback (most recent call last):
  File "checkout.py", line 17, in <module>
    crop = page.detection(image)
  File "/Users/vishakh/mhr/word_segmentation-master-1/page.py", line 20, in detection
    page_contour = _find_page_contours(closed_edges, resize(image))
  File "/Users/vishakh/mhr/word_segmentation-master-1/page.py", line 67, in _find_page_contours
    im2, contours, hierarchy = cv2.findContours(edges,
ValueError: not enough values to unpack (expected 3, got 2)

This is the code in checkout.py

import page
import words
from PIL import Image
import cv2

# User input page image 
image = cv2.cvtColor(cv2.imread("test.jpg"), cv2.COLOR_BGR2RGB)

# Crop image and get bounding boxes
crop = page.detection(image)
boxes = words.detection(crop)
lines = words.sort_words(boxes)

# Saving the bounded words from the page image in sorted way
i = 0
for line in lines:
    text = crop.copy()
    for (x1, y1, x2, y2) in line:
        # roi = text[y1:y2, x1:x2]
        save = Image.fromarray(text[y1:y2, x1:x2])
        # print(i)
        save.save("segmented/segment" + str(i) + ".png")
        i += 1

This is the detection function in pages.py where the error is being thrown at.

def detection(image):
    """Finding Page."""
    # Edge detection
    image_edges = _edges_detection(image, 200, 250)
    
    # Close gaps between edges (double page clouse => rectangle kernel)
    closed_edges = cv2.morphologyEx(image_edges, 
                                    cv2.MORPH_CLOSE, 
                                    np.ones((5, 11)))
    # Countours
    page_contour = _find_page_contours(closed_edges, resize(image))
    # Recalculate to original scale
    page_contour = page_contour.dot(ratio(image))    
    # Transform prespective
    new_image = _persp_transform(image, page_contour)
    return new_image

This is the _find_page_contours function where the third error is being thrown at:

def _find_page_contours(edges, img):
    """Finding corner points of page contour."""
    im2, contours, hierarchy = cv2.findContours(edges,
                                                cv2.RETR_TREE,
                                                cv2.CHAIN_APPROX_SIMPLE)
    
    # Finding biggest rectangle otherwise return original corners
    height = edges.shape[0]
    width = edges.shape[1]
    MIN_COUNTOUR_AREA = height * width * 0.5
    MAX_COUNTOUR_AREA = (width - 10) * (height - 10)

    max_area = MIN_COUNTOUR_AREA
    page_contour = np.array([[0, 0],
                             [0, height-5],
                             [width-5, height-5],
                             [width-5, 0]])

    for cnt in contours:
        perimeter = cv2.arcLength(cnt, True)
        approx = cv2.approxPolyDP(cnt, 0.03 * perimeter, True)

        # Page has 4 corners and it is convex
        if (len(approx) == 4 and
                cv2.isContourConvex(approx) and
                max_area < cv2.contourArea(approx) < MAX_COUNTOUR_AREA):
            
            max_area = cv2.contourArea(approx)
            page_contour = approx[:, 0]

    # Sort corners and offset them
    page_contour = _four_corners_sort(page_contour)
    return _contour_offset(page_contour, (-5, -5))