break_lines.py

import cv2
import numpy as np

# Load the input image
image = cv2.imread('input.jpg')

# Convert the image to grayscale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Apply gaussian blur to the image
blur = cv2.GaussianBlur(gray, (5,5), 0)

# Use canny edge detection to detect the edges in the image
edges = cv2.Canny(blur, 50, 150)

# Use Hough transform to detect lines in the image
lines = cv2.HoughLinesP(edges, 1, np.pi/180, 100, minLineLength=100, maxLineGap=10)

# Iterate through the detected lines and separate out each line in the image
for line in lines:
    x1, y1, x2, y2 = line[0]
    cv2.line(image, (x1, y1), (x2, y2), (0, 255, 0), 3)

# Save the separated lines to an output image
cv2.imwrite('output.jpg', image)