# import the necessary packages

import numpy as np

import argparse
import numpy as np
import argparse
import cv2

image = cv2.imread("test.jpg")

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.bitwise_not(gray)
thresh = cv2.threshold(gray, 0, 255,
cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]
coords = np.column_stack(np.where(thresh > 0))
angle = cv2.minAreaRect(coords)[-1]
if angle < -45:
    angle = -(90 + angle)
else:
    angle = -angle
(h, w) = image.shape[:2]
center = (w // 2, h // 2)
M = cv2.getRotationMatrix2D(center, angle, 1.0)
rotated = cv2.warpAffine(image, M, (w, h),
     flags=cv2.INTER_CUBIC, borderMode=cv2.BORDER_REPLICATE)
hist = cv2.reduce(rotated,1, cv2.REDUCE_AVG).reshape(-1)

th = 2
H,W = image.shape[:2]
uppers = [y for y in range(H-1) if hist[y]<=th and hist[y+1]>th]
lowers = [y for y in range(H-1) if hist[y]>th and hist[y+1]<=th]
rotated = cv2.cvtColor(rotated, cv2.COLOR_GRAY2BGR)
for y in uppers:
    cv2.line(rotated, (0,y), (W, y), (255,0,0), 1)

for y in lowers:
   cv2.line(rotated, (0,y), (W, y), (0,255,0), 1)

cv2.namedWindow('Result Image',cv2.WINDOW_FULLSCREEN)
cv2.imshow('Result Image',rotated)
cv2.waitKey(0)
cv2.destroyAllWindows()