output = denoiseImage(input)
output = rotateImage(input, 20)
cv.imshow('12', output)
cv.waitKey(0)
cv.imwrite(GlobalParam.get_image_output(), output)
'''
combine two images
'''
input1 = cv.imread(GlobalParam.get_image_input(), cv.IMREAD_UNCHANGED)
input2 = cv.imread(GlobalParam.get_image_output(), cv.IMREAD_UNCHANGED)
output = resizeImage(combineTwoImages(input1, input2, 'portrait'), 1, 1, 2)
'''
write text in image
'''
# only can write ascii text
input = cv.imread(GlobalParam.get_sentence_output(), cv.IMREAD_UNCHANGED)
output = writeTextOnImageAscii(input, '12444', (20, 20),
cv.FONT_HERSHEY_SIMPLEX, 1, (209, 80, 0, 255),
3)
# write unicode text, like chinese, japanese...
font_path = 'c:/windows/fonts/msyh.ttc'
output = writeTextOnImageUnicode(GlobalParam.get_sentence_output(), '是否',
(20, 75), font_path, 13, 'blue')
'''
analyse image function
'''
osuThreadHold(GlobalParam.get_image_input())
persperctiveImage(input, [[20, 17], [188, 16], [0, 80], [187, 70]],
[[0, 0], [232, 0], [0, 112], [232, 112]])
detectTextAreaFromImage(input)
'''
get text area, and write to file
'''
input = cv.imread(GlobalParam.get_image_input(),cv.IMREAD_UNCHANGED)
# showAllContours(input,detectTextAreaFromImage(input), 10, 5)
input =findTextAreaContours(input,detectTextAreaFromImage(input),7,10,0,0,7,12)
cv.imwrite(GlobalParam.get_image_output(),input)
'''
split text area image to single character images, collect all images names and sort by names
'''
getLastWordsContour(GlobalParam.get_image_output(),
GlobalParam.get_character_output(), 50, 50,
GlobalParam.get_sentence_output())
char_image_list=[]
for i in os.listdir(GlobalParam.get_character_output()):
char_image_list.append(int(i.replace('.png', '')))
char_length = len(char_image_list)
char_image_list.sort()
'''
get the ask questions text
'''
ask_text = ''
for i in char_image_list:
if i < char_image_list[char_length - 2]:
input1 = cv.imread(GlobalParam.get_character_output()+str(i)+'.png',cv.IMREAD_GRAYSCALE)
ch1 = denoiseImage(resizeImage(input1,0.28,0.28,interpolationType[2]))
ret,input1 = cv.threshold(ch1,170,255,cv.THRESH_BINARY)