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rotate_crop_with_HoughLines.py
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# MIT License
#
# Copyright (c) 2019 https://github.com/ElmiiiRaa/align_iranian_national_id_card
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
#author : Elmira Ghorbani
#email:elmira.ghorbani96@gmail.com
import cv2
import numpy as np
import math
import operator
import random
import os
from os import listdir
from os.path import isfile, join
cards_cropped_by_eyes_path = 'outputs/cards_cropped_by_eyes/'
cards_cropped_rotated_path = 'outputs/cards_cropped_rotated'
cards_rotated_path = 'outputs/rotated_cards_by_HoughLines'
files = [f for f in listdir(cards_cropped_by_eyes_path) if isfile(join(cards_cropped_by_eyes_path, f))]
def rotate(image, theta):
(h, w) = image.shape[:2]
center = (w / 2, h / 2)
M = cv2.getRotationMatrix2D(center, theta, 1)
rotated = cv2.warpAffine(image, M, (int(w), int(h)), cv2.INTER_LINEAR,borderMode=cv2.BORDER_CONSTANT, borderValue=(255, 255, 255))
return rotated
def dot(vA, vB):
return vA[0]*vB[0]+vA[1]*vB[1]
def ang(lineA, lineB):
# Get nicer vector form
vA = [(lineA[0][0]-lineA[1][0]), (lineA[0][1]-lineA[1][1])]
vB = [(lineB[0][0]-lineB[1][0]), (lineB[0][1]-lineB[1][1])]
# Get dot prod
dot_prod = dot(vA, vB)
# Get magnitudes
magA = dot(vA, vA)**0.5
magB = dot(vB, vB)**0.5
# Get cosine value
cos_ = dot_prod/magA/magB
# Get angle in radians and then convert to degrees
angle = math.acos(dot_prod/magB/magA)
# Basically doing angle <- angle mod 360
ang_deg = math.degrees(angle)%360
#mydegrees = math.degrees(myradians)
#myradians = math.radians(mydegrees)
if ang_deg-180>=0:
# As in if statement
return 360 - ang_deg
else:
return math.radians(ang_deg)
def crop(x1,x2,x3,x4,y1,y2,y3,y4,img):
x1 = x1
x2 = x2
x3 = x3
x4 = x4
y1 = y1
y2 = y2
y3 = y3
y4 = y4
top_left_x = min([x1,x2,x3,x4])
top_left_y = min([y1,y2,y3,y4])
bot_right_x = max([x1,x2,x3,x4])
bot_right_y = max([y1,y2,y3,y4])
rotated = img
cropped=rotated[top_left_y:bot_right_y, top_left_x:bot_right_x]
crop_h , crop_w = cropped.shape[:2]
rotated_h , rotated_w = rotated.shape[:2]
if crop_h < 500 or crop_w <900:
return rotated
else:
return cropped
def HoughLines():
for file in files:
img = cv2.imread(cards_cropped_by_eyes_path + file)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
kernel = np.ones((5,5),np.float32)/25
gray = cv2.filter2D(gray,-1,kernel)
edges = cv2.Canny(gray,400,600,apertureSize = 5)
cv2.imwrite(file,edges)
"""
cv2.imshow('image',cv2.resize(edges,(1000,630)))
cv2.waitKey(0)
"""
lines = cv2.HoughLines(edges,1,np.pi/180,15)
pointsListX1 =[]
pointsListX2 =[]
pointsListY1 =[]
pointsListY2 =[]
anglesList = []
for i in range(8):
for rho,theta in lines[i]:
a = np.cos(theta)
b = np.sin(theta)
x0 = a*rho
y0 = b*rho
x1 = int(x0 + 1000*(-b))
y1 =int(y0 + 1000*(a))
x2 = int(x0 - 1000*(-b))
y2 = int(y0 - 1000*(a))
angle = np.arctan2(y2 - y1, x2 - x1) * 180. / np.pi
#draw whole detected line
#cv2.line(img,(x1 ,y1),( x2,y2),(62,0,255),2)
if x1<0:
pointsListX1.append(x1)
pointsListY1.append(y1)
pointsListX2.append(x2)
pointsListY2.append(y2)
anglesList.append(angle)
#print(x1 ,y1 ,' ', x2 ,y2 ,' ',angle )
#bottom line
index, value = max(enumerate(pointsListY1), key=operator.itemgetter(1))
# draw bottom line
#cv2.line(img,(pointsListX1[index] ,pointsListY1[index] ),( pointsListX2[index] ,pointsListY2[index]),(255,0,255),2)
sub_y_frist_line = pointsListY2[index] - pointsListY1[index]
#print(pointsListY1 , pointsListY2,anglesList)
#print(sub_y_frist_line)
#top line
temp = []
for indy in range(len(pointsListY2)):
sub = pointsListY2[indy] - pointsListY1[indy]
sub_y_2 = pointsListY2[index] - pointsListY2[indy]
sub_y_1 = pointsListY1[index] - pointsListY1[indy]
# print(sub,sub_y_1 ,sub_y_2)
if sub_y_frist_line == 1:
if sub > 1 and anglesList[indy] > 0 and anglesList[indy] > anglesList[index] and sub_y_2 >500 and sub_y_1 >500 :
second_index=indy
#print(indy)
break
else:
if sub == 1 and anglesList[indy] > 0 and sub_y_2 >400 and sub_y_1 >400 :
second_index=indy
#print(indy)
break
elif sub_y_frist_line<0:
tempL=[]
for i in range(len(pointsListY1)):
if pointsListY1[i] > 0 and pointsListY1[i] < pointsListY1[index] and anglesList[i] >= anglesList[index]:
tempL.append(pointsListY1[i])
indx, value = min(enumerate(tempL), key=operator.itemgetter(1))
second_index=pointsListY1.index(value)
else:
if sub == 1 and anglesList[indy] > 0 and sub_y_2 > 0 and sub_y_1 > 0 :
temp.append(pointsListY1[indy])
ind, val = max(enumerate(temp), key=operator.itemgetter(1))
second_index = pointsListY1.index(val)
#print(second_index)
#draw top line
#cv2.line(img,(pointsListX1[second_index] ,pointsListY1[second_index] ),( pointsListX2[second_index] ,pointsListY2[second_index]),(255,0,255),2)
# print( 'angles: (top , bottom) :', anglesList[second_index], anglesList[index])
lineA =[[pointsListX1[index],pointsListY1[index] ],[pointsListX2[index],pointsListY2[index]]]
lineB =[[pointsListX1[second_index],pointsListX1[second_index]],[pointsListX2[second_index],pointsListY2[second_index]]]
angle =ang(lineA , lineB)
#print(angle)
if anglesList[index]== anglesList[second_index]:
rotated=rotate(img , -(anglesList[index]-angle))
else:
rotated=rotate(img , (anglesList[second_index]-angle))
save_cards_rotated_path = os.path.join(cards_rotated_path, file)
cv2.imwrite(save_cards_rotated_path,rotated)
#cv2.imshow('rotated',cv2.resize(rotated,(1000,630)))
#cv2.waitKey(0)
crop_img = crop(pointsListX1[index] ,pointsListX1[second_index] ,pointsListX2[index] ,pointsListX2[second_index] ,pointsListY1[index] ,pointsListY1[second_index] ,pointsListY2[index] ,pointsListY2[second_index],rotated)
# cv2.imshow('crop',cv2.resize(crp,(1000,630)))
save_crop_rotated_card = os.path.join(cards_cropped_rotated_path, file)
cv2.imwrite(save_crop_rotated_card,crop_img)
cv2.waitKey(0)