def post(self):
try:
sender = self.request.GET.get("from", "")
if not sender or sender == '':
self.error(500)
return
recipient = self.request.GET.get("to", "")
if recipient == ADMIN_ADDRESS:
mail.send_mail(sender=CONTACT_ADDRESS,
to=ADMIN_ADDRESS,
subject="mail to [email protected] from %s" % sender,
body=self.request.body)
return
message = email.message_from_string(self.request.body)
for part in message.walk():
if part.get_content_maintype() == 'multipart':
continue
filename = part.get_filename()
if filename and filename not in BAD_FILES:
ext = mimetypes.guess_extension(part.get_content_type())
if ext in ALLOWED_EXTENSIONS:
image = db.Blob(part.get_payload(decode=True))
ext = ext.replace('.', '')
# turn .jpe's into jpgs, there's no content/type: jpe
if ext == 'jpe': ext = 'jpg'
image_id = ImageStore.add(image, ext=ext,
author=users.User(sender))
url = IMAGE_URL % image_id
mail.send_mail(sender=CONTACT_ADDRESS,
to=sender,
subject="tsurp: %s" % url,
body=url)
logging.debug('sent image url %s to %s' % (url, sender))
else:
logging.debug('invalid ext for %s: %s' % (filename,
ext))
except apiproxy_errors.OverQuotaError, e:
self.error(500)
logging.debug('lost message for %s, over quota: %s.' % (sender, e))
def post(self):
try:
if not isinstance(self.request.get('img'), str):
self.redirect('/')
image = db.Blob(self.request.get('img'))
ext = self.request.POST.get('img').filename.split('.')[-1]
author = users.get_current_user()
title = self.request.get('title')
image_id = ImageStore.add(image, ext=ext,
author=author, title=title)
self.redirect('/' + image_id)
except Exception, e:
self.error(500)
logging.error('%s: %s' % (self.__class__.__name__,
traceback.print_exc()))
def ocr(input_: io.BytesIO) -> Optional[float]:
input_.seek(0)
global _timestamp
_timestamp = datetime.utcnow().strftime("%Y_%m_%d-%H_%M_%S")
with ImageStore(_config) as img_store:
image = cv2.imdecode(np.fromstring(input_.read(), np.uint8), 1)
img_store.add_image(image, "original")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
img_store.add_image(gray, "gray")
del image
rotated = _rotate(_config.image_rotation, gray)
img_store.add_image(rotated, "rotated")
del gray
blurred = cv2.GaussianBlur(
rotated, (_config.blur_ksize_width, _config.blur_ksize_height), 0)
img_store.add_image(rotated, "blurred")
del rotated
edged = _get_edged(blurred)
if _config.positions:
logger.info("config has pre-defined positions, no auto detection")
sorted_aligned_bb = _use_positions()
else:
logger.info("detecting positions of numbers automatically.")
sorted_aligned_bb = _auto_detect_numbers(edged, img_store)
del edged
numbers_as_text = image_to_text(blurred, sorted_aligned_bb, img_store)
del blurred
final_result = ocr_result_to_value(numbers_as_text)
logger.info("the detected result is: {final_result}",
final_result=final_result)
return final_result