Merge pull request #100445 from PatrickFarley/bug-fixes

[cog serv] Bug fixes

Author: PRMerger10

articles/cognitive-services/Computer-vision/Home.md

@@ -45,7 +45,7 @@ You can analyze images to detect and provide insights about their visual feature
 
 ## Extract text from images
 
-You can use Computer Vision [Read API](concept-recognizing-text.md#read-api) to extract printed and handwritten text from images into a machine-readable character stream. The Read API uses our latest models and works with text on a variety of surfaces and backgrounds, such as receipts, posters, business cards, letters, and whiteboards. Currently, English is the only supported language.
+You can use Computer Vision [Read](concept-recognizing-text.md#read-api) API to extract printed and handwritten text from images into a machine-readable character stream. The Read API uses our latest models and works with text on a variety of surfaces and backgrounds, such as receipts, posters, business cards, letters, and whiteboards. Currently, English is the only supported language.
 
 You can also use the [optical character recognition (OCR)](concept-recognizing-text.md#ocr-optical-character-recognition-api) API to extract printed text in several languages. If needed, OCR corrects the rotation of the recognized text and provides the frame coordinates of each word. OCR supports 25 languages and automatically detects the language of the recognized text.
 

articles/cognitive-services/Computer-vision/QuickStarts/CSharp-analyze.md

@@ -56,7 +56,7 @@ namespace CSHttpClientSample
         // the Analyze method endpoint
         static string uriBase = endpoint + "vision/v2.1/analyze";
 
-        static void Main()
+        static async Task Main()
         {
             // Get the path and filename to process from the user.
             Console.WriteLine("Analyze an image:");
@@ -67,8 +67,8 @@ namespace CSHttpClientSample
             if (File.Exists(imageFilePath))
             {
                 // Call the REST API method.
-                Console.WriteLine("\nWait a moment for the results to appear.\n");
-                MakeAnalysisRequest(imageFilePath).Wait();
+                Console.WriteLine("\nWait for the results to appear.\n");
+                await MakeAnalysisRequest(imageFilePath);
             }
             else
             {

articles/cognitive-services/Computer-vision/QuickStarts/CSharp-hand-text.md

@@ -60,7 +60,7 @@ namespace CSHttpClientSample
         // the Batch Read method endpoint
         static string uriBase = endpoint + "vision/v2.1/read/core/asyncBatchAnalyze";
 
-        static void Main()
+        static async Task Main()
         {
             // Get the path and filename to process from the user.
             Console.WriteLine("Text Recognition:");
@@ -72,7 +72,7 @@ namespace CSHttpClientSample
             {
                 // Call the REST API method.
                 Console.WriteLine("\nWait a moment for the results to appear.\n");
-                ReadText(imageFilePath).Wait();
+                await ReadText(imageFilePath);
             }
             else
             {

articles/cognitive-services/Computer-vision/QuickStarts/CSharp-print-text.md

@@ -59,7 +59,7 @@ namespace CSHttpClientSample
         // the OCR method endpoint
         static string uriBase = endpoint + "vision/v2.1/ocr";
 
-        static void Main()
+        static async Task Main()
         {
             // Get the path and filename to process from the user.
             Console.WriteLine("Optical Character Recognition:");
@@ -70,7 +70,7 @@ namespace CSHttpClientSample
             {
                 // Call the REST API method.
                 Console.WriteLine("\nWait a moment for the results to appear.\n");
-                MakeOCRRequest(imageFilePath).Wait();
+                await MakeOCRRequest(imageFilePath);
             }
             else
             {

articles/cognitive-services/Computer-vision/QuickStarts/CSharp-thumb.md

@@ -56,7 +56,7 @@ namespace CSHttpClientSample
         // the GenerateThumbnail method endpoint
         static string uriBase = endpoint + "vision/v2.1/generateThumbnail";
 
-        static void Main()
+        static async Task Main()
         {
             // Get the path and filename to process from the user.
             Console.WriteLine("Thumbnail:");
@@ -68,7 +68,7 @@ namespace CSHttpClientSample
             {
                 // Call the REST API method.
                 Console.WriteLine("\nWait a moment for the results to appear.\n");
-                MakeThumbNailRequest(imageFilePath).Wait();
+                await MakeThumbNailRequest(imageFilePath);
             }
             else
             {

articles/cognitive-services/Computer-vision/Vision-API-How-to-Topics/HowtoAnalyzeVideo_Vision.md

@@ -160,7 +160,7 @@ namespace BasicConsoleSample
         const string ApiKey = "<your API key>";
         const string Endpoint = "https://<your API region>.api.cognitive.microsoft.com";
 
-        private static void Main(string[] args)
+        private static async Task Main(string[] args)
         {
             // Create grabber.
             FrameGrabber<DetectedFace[]> grabber = new FrameGrabber<DetectedFace[]>();
@@ -201,14 +201,14 @@ namespace BasicConsoleSample
             grabber.TriggerAnalysisOnInterval(TimeSpan.FromMilliseconds(3000));
 
             // Start running in the background.
-            grabber.StartProcessingCameraAsync().Wait();
+            await grabber.StartProcessingCameraAsync();
 
             // Wait for key press to stop.
             Console.WriteLine("Press any key to stop...");
             Console.ReadKey();
 
             // Stop, blocking until done.
-            grabber.StopProcessingAsync().Wait();
+            await grabber.StopProcessingAsync();
         }
     }
 }

articles/cognitive-services/Computer-vision/computer-vision-how-to-install-containers.md

@@ -17,7 +17,7 @@ ms.custom: seodec18
 
 Containers enable you to run the Computer Vision APIs in your own environment. Containers are great for specific security and data governance requirements. In this article you'll learn how to download, install, and run a Computer Vision container.
 
-A single Docker container, *Read*, is available for Computer Vision. The *Read* container allows you to detect and extract *printed text* from images of various objects with different surfaces and backgrounds, such as receipts, posters, and business cards. Additionally, the *Read* container detects *handwritten text* in images and provides PDF, TIFF, and multi-page file support. For more information, see the [Read API](concept-recognizing-text.md#read-api) documentation.
+A single Docker container, *Read*, is available for Computer Vision. The *Read* container allows you to detect and extract *printed text* from images of various objects with different surfaces and backgrounds, such as receipts, posters, and business cards. Additionally, the *Read* container detects *handwritten text* in images and provides PDF, TIFF, and multi-page file support. For more information, see the [Read](concept-recognizing-text.md#read-api) API documentation.
 
 If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/?WT.mc_id=A261C142F) before you begin.