Computer Vision 0.2.0

requirements.txt

@@ -7,6 +7,6 @@ azure-cognitiveservices-search-newssearch
 azure-cognitiveservices-search-videosearch
 azure-cognitiveservices-search-visualsearch
 azure-cognitiveservices-search-websearch
-azure-cognitiveservices-vision-computervision
+azure-cognitiveservices-vision-computervision>=0.2.0  # sample won't work with previous versions
 azure-cognitiveservices-vision-contentmoderator
 azure-cognitiveservices-vision-customvision

samples/vision/computer_vision_samples.py

@@ -29,14 +29,62 @@ def image_analysis_in_stream(subscription_key):
             ]
         )
 
-    print("This imsage can be described as: {}\n".format(image_analysis.description.captions[0].text))
+    print("This image can be described as: {}\n".format(image_analysis.description.captions[0].text))
 
     print("Tags associated with this image:\nTag\t\tConfidence")
     for tag in image_analysis.tags:
         print("{}\t\t{}".format(tag.name, tag.confidence))
 
     print("\nThe primary colors of this image are: {}".format(image_analysis.color.dominant_colors))
 
+def recognize_text(subscription_key):
+    """RecognizeTextUsingRecognizeAPI.
+
+    This will recognize text of the given image using the recognizeText API.
+    """
+    import time
+    client = ComputerVisionAPI(COMPUTERVISION_LOCATION, CognitiveServicesCredentials(subscription_key))
+
+    with open(os.path.join(IMAGES_FOLDER, "make_things_happen.jpg"), "rb") as image_stream:
+        job = client.recognize_text_in_stream(
+            image_stream,
+            mode="Printed",
+            raw=True
+        )
+    operation_id = job.headers['Operation-Location'].split('/')[-1]
+
+    image_analysis = client.get_text_operation_result(operation_id)
+    while image_analysis.status in ['NotStarted', 'Running']:
+        time.sleep(1)
+        image_analysis = client.get_text_operation_result(operation_id)
+
+    print("Job completion is: {}\n".format(image_analysis.status))
+
+    print("Recognized:\n")
+    lines = image_analysis.recognition_result.lines
+    print(lines[0].words[0].text)  # "make"
+    print(lines[1].words[0].text)  # "things"
+    print(lines[2].words[0].text)  # "happen"
+
+def recognize_printed_text_in_stream(subscription_key):
+    """RecognizedPrintedTextUsingOCR_API.
+
+    This will do an OCR analysis of the given image.
+    """
+    import time
+    client = ComputerVisionAPI(COMPUTERVISION_LOCATION, CognitiveServicesCredentials(subscription_key))
+
+    with open(os.path.join(IMAGES_FOLDER, "computer_vision_ocr.png"), "rb") as image_stream:
+        image_analysis = client.recognize_printed_text_in_stream(
+            image_stream,
+            language="en"
+        )
+
+    lines = image_analysis.regions[0].lines
+    print("Recognized:\n")
+    for line in lines:
+        line_text = " ".join([word.text for word in line.words])
+        print(line_text)
 
 if __name__ == "__main__":
     import sys, os.path