Initial commit, new sample

Author: Winona Azure

samples/vision/computer_vision_extract_text.py

@@ -0,0 +1,56 @@
+'''
+References:
+    Quickstart: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/quickstarts-sdk/python-sdk
+    SDK: https://docs.microsoft.com/en-us/python/api/overview/azure/cognitiveservices/computervision?view=azure-python
+'''
+
+from azure.cognitiveservices.vision.computervision import ComputerVisionClient
+from msrest.authentication import CognitiveServicesCredentials
+from azure.cognitiveservices.vision.computervision.models import TextRecognitionMode
+from azure.cognitiveservices.vision.computervision.models import TextOperationStatusCodes
+import time
+
+# Replace with your endpoint and key from the Azure portal
+endpoint = '<ADD ENDPOINT HERE>'
+key = '<ADD COMPUTER VISION SUBSCRIPTION KEY HERE>'
+
+# Alternatively, get endpoint and key from environment variables
+'''
+import os
+endpoint = os.environ['ACCOUNT_ENDPOINT']
+key = os.environ['ACCOUNT_KEY']
+'''
+
+# Set credentials
+credentials = CognitiveServicesCredentials(key)
+
+# Create client
+client = ComputerVisionClient(endpoint, credentials)
+
+url = "https://azurecomcdn.azureedge.net/cvt-1979217d3d0d31c5c87cbd991bccfee2d184b55eeb4081200012bdaf6a65601a/images/shared/cognitive-services-demos/read-text/read-1-thumbnail.png"
+mode = TextRecognitionMode.handwritten
+raw = True
+custom_headers = None
+numberOfCharsInOperationId = 36
+
+# Async SDK call
+rawHttpResponse = client.batch_read_file(url, mode, custom_headers,  raw)
+
+# Get ID from returned headers
+operationLocation = rawHttpResponse.headers["Operation-Location"]
+idLocation = len(operationLocation) - numberOfCharsInOperationId
+operationId = operationLocation[idLocation:]
+
+# SDK call
+while True:
+    result = client.get_read_operation_result(operationId)
+    if result.status not in ['NotStarted', 'Running']:
+        break
+    time.sleep(1)
+
+# Get data: text captured and its bounding box
+if result.status == TextOperationStatusCodes.succeeded:
+    for textResult in result.recognition_results:
+        for line in textResult.lines:
+            print(line.text)
+            print(line.bounding_box)