def to_mbti(string, api):
if string is None:
return 'Error'
elif 'http' in string:
screen_name = get_screenname(string)
final_str = ""
count = 0
for status in tweepy.Cursor(api.user_timeline,
screen_name=screen_name,
tweet_mode="extended").items():
count += 1
if count == 10:
break
print(final_str)
final_str += status.full_text
else:
final_str = string
mbti = classification.classify(final_str)
return mbti
def to_text(image):
address_tag_coord, bar_code_coord = object_detection(image)
if bar_code_coord:
bar_code = crop(bar_code_coord, image)
deskewd_bar = rotateImg(bar_code)
bar = image_to_string(deskewd_bar)
bar = purge_bar(bar)
else:
bar = None
print('unable to locate bar code')
if address_tag_coord:
address_tag = crop(address_tag_coord, image)
deskewed_address_tag = rotateImg(address_tag)
cv2.imwrite('tmp/address_tag.jpg', deskewed_address_tag)
printed = classify('tmp/address_tag.jpg')
if printed:
address = tesseract(deskewed_address_tag)
else:
address = None
print('unable to recognize hand written address tags')
else:
address = None
print('unable to locate address tag')
return address, bar