def perform_ocr(img_url):
#use dictionary or not
use_dict = True
raw_image = cv2.imread(img_url, 0)
#cv2.imshow('image',raw_image)
#cv2.waitKey(0)
#get all the words (as an numpy image array), words on each line, and maximum height on that line
all_words, words_on_line, max_height_on_line = get_words(raw_image)
#print('ocr: ',all_words)
print("Total no. of lines = ", len(words_on_line))
print("Words per line = ", words_on_line)
print("Total no. of words = ", len(all_words))
#to write the output into a file
fp = open("output.txt", 'w')
fp.truncate()
#start loading bar
bar = Bar('Loading...', max=len(all_words))
count = 0
for i in range(0, len(words_on_line)):
for j in range(0, words_on_line[i]):
#update loading bar
bar.next()
all_characters = get_characters(all_words[count],
max_height_on_line[i], i, j)
if use_dict:
# print (correction(get_string_from_nn(all_characters)),)
fp.write(correction(get_string_from_nn(all_characters)))
fp.write(" ")
else:
# print (get_string_from_nn(all_characters),)
fp.write(get_string_from_nn(all_characters))
fp.write(" ")
# exit(0)
# cv2.imshow("all_words[count]",all_words[count])
# cv2.waitKey()
count = count + 1
#print ("\n")
fp.write("\n")
# bar.next()
#close loading bar
bar.finish()
fp.close()
print("\nconversion completed successfully")
def extract_character(words_on_line,
all_words,
max_height_on_line,
use_dict=False):
#to write the output into a file
fp = open("output.txt", 'w')
fp.truncate()
count = 0
for i in range(0, len(words_on_line)):
for j in range(0, words_on_line[i]):
all_characters = cp.get_characters(all_words[count],
max_height_on_line[i], i, j)
if use_dict:
None
# print (correction(get_string_from_nn(all_characters)))
# fp.write(correction(get_string_from_nn(all_characters)))
# fp.write(" ")
else:
word = user_input.get_string_from_nn(all_characters)
print(str(count) + " word - " + word)
fp.write(word)
fp.write(" ")
# exit(0)
# cv2.imshow("all_words[count]",all_words[count])
# cv2.waitKey()
count = count + 1
# print ("\n")
fp.write("\n")
fp.close()
return
def perform_ocr(img_url):
#use dictionary or not
use_dict = True
raw_image = cv2.imread(img_url, 0)
#cv2.imshow('image',raw_image)
#get all the words (as an numpy image array), words on each line, and maximum height on that line
all_words, words_on_line, max_height_on_line = get_words(raw_image)
#print('ocr: ',all_words)
print("no. of lines = ", len(words_on_line))
print(words_on_line)
print("no. of words = ", len(all_words))
#to write the output into a file
fp = open("output.txt", 'w')
fp.truncate()
count = 0
for i in range(0, len(words_on_line)):
for j in range(0, words_on_line[i]):
all_characters = get_characters(all_words[count],
max_height_on_line[i], i, j)
if use_dict:
print(correction(get_string_from_nn(all_characters)), )
fp.write(correction(get_string_from_nn(all_characters)))
fp.write(" ")
else:
print(get_string_from_nn(all_characters), )
fp.write(get_string_from_nn(all_characters))
fp.write(" ")
# exit(0)
# cv2.imshow("all_words[count]",all_words[count])
# cv2.waitKey()
count = count + 1
#print ("\n")
fp.write("\n")
fp.close()
def perform_ocr(img_url):
#use dictionary or not
use_dict = True
raw_image = cv2.imread(img_url,0)
#get all the words (as an numpy image array), words on each line, and maximum height on that line
all_words, words_on_line, max_height_on_line = get_words(raw_image)
print "no. of lines = ",len(words_on_line)
print words_on_line
print "no. of words = ",len(all_words)
#to write the output into a file
fp = open("output.txt", 'w')
fp.truncate()
count = 0
for i in range(0, len(words_on_line)):
for j in range(0, words_on_line[i]):
all_characters = get_characters(all_words[count],max_height_on_line[i],i,j)
if use_dict:
print correction(get_string_from_nn(all_characters)),
fp.write(correction(get_string_from_nn(all_characters)))
fp.write(" ")
else:
print get_string_from_nn(all_characters),
fp.write(get_string_from_nn(all_characters))
fp.write(" ")
# exit(0)
# cv2.imshow("all_words[count]",all_words[count])
# cv2.waitKey()
count = count + 1
print "\n"
fp.write("\n")
fp.close()
def perform_ocr(img_url):
raw_image = cv2.imread(img_url, 0)
#get all the words (as an numpy image array), words on each line, and maximum height on that line
all_words, words_on_line, max_height_on_line = get_words(raw_image)
print "no. of lines = ", len(words_on_line)
print words_on_line
print "no. of words = ", len(all_words)
#to write the output into a file
fp = open("output.txt", 'w')
fp.truncate()
count = 0
for i in range(0, len(words_on_line)):
for j in range(0, words_on_line[i]):
all_characters = get_characters(all_words[count],
max_height_on_line[i], i, j)
print get_string_from_nn(all_characters),
fp.write(get_string_from_nn(all_characters))
fp.write(" ")
# exit(0)
# cv2.imshow("all_words[count]",all_words[count])
# cv2.waitKey()
count = count + 1
print "\n"
fp.write("\n")
fp.close()
