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Question_recog.py
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Question_recog.py
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import cv2
import numpy as np
def answer1(x):
if 0<=x<=90:
ans ="a"
if 90<x<=180:
ans ="b"
if 180<x<=270:
ans ="c"
if 270<x<=400:
ans ="d"
return ans
def answer2(x):
if 0<=x<=144:
ans ="a"
if 144<x<=216:
ans ="b"
if 216<x<=288:
ans ="c"
if 288<x<=400:
ans ="d"
return ans
def question(question):
question_array = [""]*40
questionno = 0
h,w = question.shape
crop= question[15:h-15,15:w-15]
# vis=cv2.cvtColor(crop,cv2.COLOR_GRAY2BGR)
# print(question.shape)
# h,w = crop.shape
# plt.imshow(crop)
# crop=cv2.equalizeHist(crop)
th, im_th = cv2.threshold(crop,220,255,cv2.THRESH_BINARY_INV)
# im_th+(np.uint8(im_th))
# im_th1=~im_th
# th, im_th2 = cv2.threshold(crop,20,255,cv2.THRESH_BINARY_INV)
im_th0=im_th
kernel = np.ones((5,5), np.uint8)
im_th0=cv2.morphologyEx(im_th0, cv2.MORPH_OPEN, kernel)
im_th1=im_th
im_th2=im_th1
kernel = np.ones((1,60), np.uint8)
im_th1 = cv2.morphologyEx(im_th1, cv2.MORPH_CLOSE, kernel)
kernel = np.ones((5,20), np.uint8)
im_th = cv2.erode(im_th,kernel,iterations = 1)
## kernel = np.ones((5,5), np.uint8)
# im_th1 = cv2.morphologyEx(im_th1, cv2.MORPH_CLOSE, kernel)
kernel = np.ones((5,100), np.uint8)
# im_th1 = cv2.erode(im_th1,kernel,iterations = 1)
# kernel = np.ones((2,10), np.uint8)
# im_th1 = cv2.erode(im_th1,kernel,iterations = 1)
# kernel = np.ones((10,40), np.uint8)
im_th1 = cv2.morphologyEx(im_th1, cv2.MORPH_OPEN, kernel)
kernel = np.ones((5,w), np.uint8)
im_th1 = cv2.morphologyEx(im_th1, cv2.MORPH_OPEN, kernel)
kernel = np.ones((4,4), np.uint8)
im_th1 = cv2.morphologyEx(im_th1, cv2.MORPH_CLOSE, kernel)
# cv2.imshow('mask.jpg',im_th1)
# cv2.waitKey(0)
kernel = np.ones((40,5), np.uint8)
# im_th2 = cv2.erode(im_th,kernel,iterations = 1)
## kernel = np.ones((2,1), np.uint8)
## im_th = cv2.erode(im_th,kernel,iterations = 1)
## kernel = np.ones((5,5), np.uint8)
im_th2 = cv2.morphologyEx(im_th2, cv2.MORPH_CLOSE, kernel)
# kernel = np.ones((5,5), np.uint8)
## im_th2 = cv2.erode(im_th2,kernel,iterations = 1)
kernel = np.ones((10,10), np.uint8)
im_th2 = cv2.erode(im_th2,kernel,iterations = 1)
kernel = np.ones((h,5), np.uint8)
im_th2 = cv2.morphologyEx(im_th2, cv2.MORPH_CLOSE, kernel)
kernel = np.ones((h,10), np.uint8)
im_th2 = cv2.morphologyEx(im_th2, cv2.MORPH_OPEN, kernel)
#
mycol=255*np.ones([crop.shape[0],crop.shape[1]])
#
(_,cnts22, _) = cv2.findContours(im_th2, cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
# print(len(cnts22))
# for z in range(0,crop.shape[1]):
# st=sum(im_th2[:,z])
#
# if st<=4000:
#
# mycol[:,z]=np.zeros([crop.shape[0]])
#
for z in range(0,crop.shape[0]):
st=sum(im_th1[z,:])
if st<=4000:
mycol[z,:]=np.zeros([crop.shape[1]])
# cv2.imshow('masdsdk.jpg',mycol)
# cv2.waitKey(2)
(_,cnts, _) = cv2.findContours(np.uint8(mycol), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
for x in reversed(cnts):
# print(x)
col=crop[x[0][0][1]:x[2][0][1],x[0][0][0]:x[2][0][0]]
# print(col.shape)
ret,thresh2 = cv2.threshold(col,20,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
kernel = np.ones((18,18), np.uint8)
im_th4 = cv2.morphologyEx(thresh2, cv2.MORPH_OPEN, kernel)
kernel = np.ones((5,5), np.uint8)
im_th4 = cv2.morphologyEx(im_th4, cv2.MORPH_CLOSE, kernel)
# kernel = np.ones((5,5), np.uint8)
# im_th4 = cv2.morphologyEx(thresh2, cv2.MORPH_CLOSE, kernel)
# kernel = np.ones((20,20), np.uint8)
# im_th4 = cv2.morphologyEx(im_th4, cv2.MORPH_OPEN, kernel)
# cv2.imshow('mask.jpg',im_th4)
# cv2.waitKey(0)
#
(_,cnts, _) = cv2.findContours(im_th4, cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
# print(len(cnts))
if len(cnts) <= 0 :
question_array[questionno] = ""
# if cv2.contourArea(cnts[0])>950 or cv2.contourArea(cnts[0]) <600:
#
elif len(cnts) == 1:
M = cv2.moments(im_th4)
cX = int(M["m10"] / M["m00"])
cY = int(M["m01"] / M["m00"])
# print((cX))
if len(cnts22)==4:
question_array[questionno] = answer1(cX)
else:
question_array[questionno] = answer2(cX)
#
elif len(cnts) == 2:
M1 = cv2.moments(cnts[1])
cX1 = int(M1["m10"] / M1["m00"])
cY1 = int(M1["m01"] / M1["m00"])
# print(cX1)
M2 = cv2.moments(cnts[0])
cX2 = int(M2["m10"] / M2["m00"])
cY2 = int(M2["m01"] / M2["m00"])
if len(cnts22)==4:
question_array[questionno] = answer1(cX1)+','+answer1(cX2)
else:
question_array[questionno] = answer2(cX1)+','+answer2(cX2)
elif len(cnts) == 3:
M1 = cv2.moments(cnts[2])
cX1 = int(M1["m10"] / M1["m00"])
cY1 = int(M1["m01"] / M1["m00"])
M2 = cv2.moments(cnts[1])
cX2 = int(M2["m10"] / M2["m00"])
cY2 = int(M2["m01"] / M2["m00"])
M3 = cv2.moments(cnts[0])
cX3 = int(M3["m10"] / M3["m00"])
cY3 = int(M3["m01"] / M3["m00"])
if len(cnts22)==4:
question_array[questionno] = answer1(cX1)+','+answer1(cX2)+','+answer1(cX3)
else:
question_array[questionno] = answer2(cX1)+','+answer2(cX2)+','+answer2(cX3)
else:
question_array[questionno]="a,b,c,d"
# print(questionno+1,question_array[questionno])
questionno=questionno+1
return question_array
# thresh2 = cv2.GaussianBlur(col,(5,5),cv2.BORDER_DEFAULT)
###
# binary = cv2.morphologyEx(thresh2, cv2.MORPH_CLOSE, kernel)
# binary1 = cv2.morphologyEx(binary, cv2.MORPH_OPEN, kernel)
# (_,cnts, _) = cv2.findContours(binary, cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
# orginal=cv2.imread("Aligned/Question.png",0)
#cv2.imshow("Foreground", orginal)
#cv2.waitKey(0)
# th, im_th = cv2.threshold(orginal,127,255,0)
#
# im_th=~im_th
# kernel = np.ones((4,4), np.uint8)
# binary = cv2.erode(im_th, kernel, iterations=2)
#
# h,w = binary.shape
#
# question = 0
# question_array = [""]*201
#
# for y in range(0, w,np.uint(np.floor(w/5))):
#
# if (y +int(w/5-15) > w):
# break
#
# if y== 0:
# column = binary[20:h-20, y+75: y +int(w/5-15)]
# visc= orginal[20:h-20, y+75: y +int(w/5-15)]
#
# else:
# column = binary[20:h-20, y+90: y +int(w/5-15)]
# visc= orginal[20:h-20, y+90: y +int(w/5-15)]
#
# # cv2.imshow("Foreground", visc)
# # cv2.waitKey(0)
# ##column = orginal[15:1696, 0:420]
#
# for x in range(0, column.shape[0],np.uint(np.floor(h/40))):
#
# if (x+40 > h):
# break
#
# question+=1
# row = column[x:x+40,:]
# visr=visc[x:x+40,:]
# # cv2.imshow("Foreground", visr)
# # cv2.waitKey(0)
#
# (_,cnts, _) = cv2.findContours(row, cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
#
#
# if len(cnts) <= 0 :
#
# question_array[question] = ""
#
# # if cv2.contourArea(cnts[0])>950 or cv2.contourArea(cnts[0]) <600:
# #
# elif len(cnts) == 1:
#
# M = cv2.moments(row)
# cX = int(M["m10"] / M["m00"])
# cY = int(M["m01"] / M["m00"])
#
# question_array[question] = answer(cX)
#
# elif len(cnts) == 2:
#
# M1 = cv2.moments(cnts[1])
# cX1 = int(M1["m10"] / M1["m00"])
# cY1 = int(M1["m01"] / M1["m00"])
#
#
# M2 = cv2.moments(cnts[0])
# cX2 = int(M2["m10"] / M2["m00"])
# cY2 = int(M2["m01"] / M2["m00"])
#
# question_array[question] = answer(cX1)+answer(cX2)
#
# elif len(cnts) == 3:
#
# M1 = cv2.moments(cnts[2])
# cX1 = int(M1["m10"] / M1["m00"])
# cY1 = int(M1["m01"] / M1["m00"])
#
#
# M2 = cv2.moments(cnts[1])
# cX2 = int(M2["m10"] / M2["m00"])
# cY2 = int(M2["m01"] / M2["m00"])
#
# M3 = cv2.moments(cnts[0])
# cX3 = int(M3["m10"] / M3["m00"])
# cY3 = int(M3["m01"] / M3["m00"])
#
# question_array[question] = answer(cX1)+answer(cX2)+answer(cX3)
# else:
# question_array[question]="a,b,c,d"
# # print(question,question_array[question])
#
# return question_array
#
#
#