def get_gas_price(url):
subscription_key = AZURE_COMPUTERVISION_SUBSCRIPTION_KEY
endpoint = "https://eastus.api.cognitive.microsoft.com/"
computervision_client = ComputerVisionClient(endpoint, CognitiveServicesCredentials(subscription_key))
# Get an image with printed text
remote_image_printed_text_url = url
# Call API with URL and raw response (allows you to get the operation location)
recognize_printed_results = computervision_client.batch_read_file(remote_image_printed_text_url, raw=True)
# Get the operation location (URL with an ID at the end) from the response
operation_location_remote = recognize_printed_results.headers["Operation-Location"]
# Grab the ID from the URL
operation_id = operation_location_remote.split("/")[-1]
# Call the "GET" API and wait for it to retrieve the results
while True:
get_printed_text_results = computervision_client.get_read_operation_result(operation_id)
if get_printed_text_results.status not in ['NotStarted', 'Running']:
break
time.sleep(1)
# Print the detected text, line by line
numbers_list = []
strings_list = []
newdict = {}
if get_printed_text_results.status == TextOperationStatusCodes.succeeded:
for text_result in get_printed_text_results.recognition_results:
for line in text_result.lines:
new_line = line.text.replace(" ", "")
if (is_float(new_line)):
numbers_list.append(float(new_line))
elif (is_string(new_line)):
strings_list.append(new_line)
newdict[new_line] = find_area(line.bounding_box)
numbers_list = [x for x in numbers_list if (x > 0 and x < 6) or (check_three_digit((x)))]
for x in range(len(numbers_list)):
while (numbers_list[x] >= 10.0):
numbers_list[x] /= 10.0
max = 0
gas_type = ""
for x in range(len(strings_list)):
if (newdict[strings_list[x]] > max):
max = newdict[strings_list[x]]
gas_type = strings_list[x]
price = numbers_list[0] if len(numbers_list) > 0 else 0
return {gas_type: price}
# Recognize text with the Read API in a remote image by:
# 1. Specifying whether the text to recognize is handwritten or printed.
# 2. Calling the Computer Vision service's batch_read_file_in_stream with the:
# - context
# - image
# - text recognition mode
# 3. Extracting the Operation-Location URL value from the batch_read_file_in_stream
# response
# 4. Waiting for the operation to complete.
# 5. Displaying the results.
remote_image_url = "https://raw.githubusercontent.com/Azure-Samples/cognitive-services-sample-data-files/master/ComputerVision/Images/printed_text.jpg"
text_recognition_mode = TextRecognitionMode.printed
num_chars_in_operation_id = 36
client_response = computervision_client.batch_read_file(remote_image_url,
text_recognition_mode,
raw=True)
operation_location = client_response.headers["Operation-Location"]
id_location = len(operation_location) - num_chars_in_operation_id
operation_id = operation_location[id_location:]
print("\nRecognizing text in a remote image with the batch Read API ... \n")
while True:
result = computervision_client.get_read_operation_result(operation_id)
if result.status not in ['NotStarted', 'Running']:
break
time.sleep(1)
if result.status == TextOperationStatusCodes.succeeded:
for text_result in result.recognition_results:
# Read the text scanned in https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/quickstarts-sdk/python-sdk#read-printed-and-handwritten-text
'''
Batch Read File, recognize printed text - remote
This example will extract printed text in an image, then print results, line by line.
This API call can also recognize handwriting (not shown).
'''
print("===== Batch Read File - remote =====")
# Get an image with printed text, there are a few examples on my github repo: https://github.com/tc-nyc/Cog-Services-Demo
#remote_image_printed_text_url = "https://raw.githubusercontent.com/tc-nyc/Cog-Services-Demo/master/Parts%20Needed%20-%20Day%202.jpg"
remote_image_printed_text_url = "https://raw.githubusercontent.com/tc-nyc/Cog-Services-Demo/master/Target%20Data.PNG"
# Call API with URL and raw response (allows you to get the operation location)
recognize_printed_results = computervision_client.batch_read_file(
remote_image_printed_text_url, raw=True)
# Get the operation location (URL with an ID at the end) from the response
operation_location_remote = recognize_printed_results.headers[
"Operation-Location"]
# Grab the ID from the URL
operation_id = operation_location_remote.split("/")[-1]
# Call the "GET" API and wait for it to retrieve the results
while True:
get_printed_text_results = computervision_client.get_read_operation_result(
operation_id)
if get_printed_text_results.status not in ['NotStarted', 'Running']:
break
time.sleep(1)
img_url = 'https://raw.githubusercontent.com/Azure-Samples/cognitive-services-sample-data-files/master/ComputerVision/Images/printed_text.jpg'
endpoint = 'https://computer-vision-python.cognitiveservices.azure.com/vision/v2.0/recognizeText[?Printed]'
computervision_client = ComputerVisionClient(endpoint,
CognitiveServicesCredentials(key))
'''
Batch Read File, recognize printed text - remote
This example will extract printed text in an image, then print results, line by line.
This API call can also recognize handwriting (not shown).
'''
print("===== Batch Read File - remote =====")
# Get an image with printed text
remote_image_printed_text_url = "https://raw.githubusercontent.com/Azure-Samples/cognitive-services-sample-data-files/master/ComputerVision/Images/printed_text.jpg"
# Call API with URL and raw response (allows you to get the operation location)
recognize_printed_results = computervision_client.batch_read_file(img_url,
raw=True)
# Get the operation location (URL with an ID at the end) from the response
operation_location_remote = recognize_printed_results.headers[
"Operation-Location"]
operation_id = operation_location_remote.split("/")[-1]
# Call the "GET" API and wait for it to retrieve the results
while True:
get_printed_text_results = computervision_client.get_read_operation_result(
operation_id)
if get_printed_text_results.status not in ['NotStarted', 'Running']:
break
time.sleep(1)
# Print the detected text, line by line
# Choose between handwritten and printed. Default is printed. Use
# --handwritten to use the handwritten model.
if args.handwritten:
mode = TextRecognitionMode.handwritten
else:
mode = TextRecognitionMode.printed
raw = True
custom_headers = None
numberOfCharsInOperationId = 36
# Asynchronous call.
if is_url(url):
rawHttpResponse = client.batch_read_file(url, mode, custom_headers, raw)
else:
path = os.path.join(get_cmd_cwd(), url)
with open(path, 'rb') as fstream:
rawHttpResponse = client.batch_read_file_in_stream(
fstream, mode, custom_headers, raw)
# Get ID from returned headers.
operationLocation = rawHttpResponse.headers["Operation-Location"]
idLocation = len(operationLocation) - numberOfCharsInOperationId
operationId = operationLocation[idLocation:]
# Get the result.
while True:
