def ocr():
client = vision.ImageAnnotatorClient()
path = './naver_login.png'
# path = './6-1 로그인.png'
# path = './9-1 상품연결.png'
# path = './naver.png'
# path = './google_lee.png'
with io.open(path, 'rb') as image_file:
content = image_file.read()
image = vision.Image(content=content)
# price_candidate = []
# card_number_candidate = []
# date_candidate = []
response = client.text_detection(image=image)
# serialize / deserialize proto (binary)
serialized_proto_plus = AnnotateImageResponse.serialize(response)
response = AnnotateImageResponse.deserialize(serialized_proto_plus)
print(response.full_text_annotation.text)
# serialize / deserialize json
response_json = AnnotateImageResponse.to_json(response)
response = json.loads(response_json)
print(response['fullTextAnnotation']['text'])
with open("textInImage.json", "w") as json_file:
json.dump(response, json_file)
def ocr(trigger):
image_path = 'https://firebasestorage.googleapis.com/v0/b/img2code-326013.appspot.com/o/Web_images%2F' + trigger + '.png?alt=media'
client = vision.ImageAnnotatorClient.from_service_account_json(
"./img2code-326013-000adcb01d14.json")
os.makedirs(os.path.dirname('/tmp/temp.png'), exist_ok=True)
with urllib.request.urlopen(image_path) as url:
with open('/tmp/temp.png', 'wb') as f:
f.write(url.read())
if os.path.exists('/tmp/temp.png'):
with open('/tmp/temp.png', 'rb') as f:
content = f.read()
image = vision.Image(content=content)
response = client.text_detection(image=image)
# serialize / deserialize proto (binary)
serialized_proto_plus = AnnotateImageResponse.serialize(response)
response = AnnotateImageResponse.deserialize(serialized_proto_plus)
#print(response.full_text_annotation.text)
# serialize / deserialize json
response_json = AnnotateImageResponse.to_json(response)
response = json.loads(response_json)
#print(response['fullTextAnnotation']['text'])
os.makedirs(os.path.dirname('/tmp/textInImage.json'), exist_ok=True)
with open("/tmp/textInImage.json", "w") as json_file:
json.dump(response, json_file)
def ocr():
client = vision.ImageAnnotatorClient()
# path = './6-1 로그인.png'
path = './naver_login.png'
with io.open(path, 'rb') as image_file:
content = image_file.read()
image = vision.Image(content=content)
price_candidate = []
card_number_candidate = []
date_candidate = []
response = client.text_detection(image=image)
# serialize / deserialize proto (binary)
serialized_proto_plus = AnnotateImageResponse.serialize(response)
response = AnnotateImageResponse.deserialize(serialized_proto_plus)
print(response.full_text_annotation.text)
# print(response.full_text_annotation.text)
# serialize / deserialize json
response_json = AnnotateImageResponse.to_json(response)
response = json.loads(response_json)
print(response['fullTextAnnotation']['text'])
with open("student_file.json", "w") as json_file:
json.dump(response, json_file)
# print(type(response))
f = open("new.txt", 'w')
f2 = open("xy.txt", 'w')
# for i in range(0,count):
# f2.write(string)
# f2.write(texts[i])
# print(i)
# print(texts[i])
f2.write(response)
f2.close()
# print('Texts:')
for text in texts:
content = text.description
content = content.replace(',', '')
f.write('"{}"'.format(content))
f.close()
if response.error.message:
raise Exception('{}\nFor more info on error messages, check: '
'https://cloud.google.com/apis/design/errors'.format(
response.error.message))
def ocr():
client = vision.ImageAnnotatorClient.from_service_account_json(
"./img2code-326013-000adcb01d14.json")
print(1)
# path = './naver_login.png'
# path = './9-1 상품연결.png'
# path = './naver.png'
# path = './google_lee.png'
# with io.open(image_path, 'rb') as image_file:
# content = image_file.read()
# content = Image.open(io.BytesIO(image_path))
os.makedirs(os.path.dirname('/tmp/temp.png'), exist_ok=True)
with urllib.request.urlopen(image_path) as url:
with open('/tmp/temp.png', 'wb') as f:
f.write(url.read())
if os.path.exists('/tmp/temp.png'):
with open('/tmp/temp.png', 'rb') as f:
content = f.read()
print(2)
image = vision.Image(content=content)
print(3)
# price_candidate = []
# card_number_candidate = []
# date_candidate = []
response = client.text_detection(image=image)
print(4)
# serialize / deserialize proto (binary)
serialized_proto_plus = AnnotateImageResponse.serialize(response)
print(5)
response = AnnotateImageResponse.deserialize(serialized_proto_plus)
print(response.full_text_annotation.text)
# serialize / deserialize json
response_json = AnnotateImageResponse.to_json(response)
response = json.loads(response_json)
print(response['fullTextAnnotation']['text'])
os.makedirs(os.path.dirname('/tmp/textInImage.json'), exist_ok=True)
with open("/tmp/textInImage.json", "w") as json_file:
json.dump(response, json_file)
def detect_text_uri(uri):
"""Detects text in the file located in Google Cloud Storage or on the Web.
"""
image = vision.Image()
image.source.image_uri = uri
response = client.text_detection(
image=image,
image_context={"language_hints": ["bn"]},
)
serialized_proto_plus = AnnotateImageResponse.serialize(response)
response = AnnotateImageResponse.deserialize(serialized_proto_plus)
# print(response.full_text_annotation.text)
# serialize / deserialize json
response_json = AnnotateImageResponse.to_json(response)
response = json.loads(response_json)
l_response = response['fullTextAnnotation']['text']
l_response = l_response.replace('\n', ' ')
return l_response