update rest links

Author: PatrickFarley

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

@@ -9,7 +9,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: computer-vision
 ms.topic: quickstart
-ms.date: 04/14/2020
+ms.date: 05/20/2020
 ms.author: pafarley
 ms.custom: seodec18
 ---
@@ -39,7 +39,7 @@ To create and run the sample, do the following steps:
 1. Paste the command from the text editor into the command prompt window, and then run the command.
 
     ```bash
-    curl -H "Ocp-Apim-Subscription-Key: <subscriptionKey>" -o <thumbnailFile> -H "Content-Type: application/json" "https://westcentralus.api.cognitive.microsoft.com/vision/v2.1/generateThumbnail?width=100&height=100&smartCropping=true" -d "{\"url\":\"https://upload.wikimedia.org/wikipedia/commons/thumb/5/56/Shorkie_Poo_Puppy.jpg/1280px-Shorkie_Poo_Puppy.jpg\"}"
+    curl -H "Ocp-Apim-Subscription-Key: <subscriptionKey>" -o <thumbnailFile> -H "Content-Type: application/json" "https://westcentralus.api.cognitive.microsoft.com/vision/v3.0/generateThumbnail?width=100&height=100&smartCropping=true" -d "{\"url\":\"https://upload.wikimedia.org/wikipedia/commons/thumb/5/56/Shorkie_Poo_Puppy.jpg/1280px-Shorkie_Poo_Puppy.jpg\"}"
     ```
 
 ## Examine the response
@@ -48,7 +48,7 @@ A successful response writes the thumbnail image to the file specified in `<thum
 
 ## Next steps
 
-Explore the Computer Vision API to how to analyze an image, detect celebrities and landmarks, create a thumbnail, and extract printed and handwritten text. To rapidly experiment with the Computer Vision API, try the [Open API testing console](https://westcentralus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fa/console).
+Explore the Computer Vision API to how to analyze an image, detect celebrities and landmarks, create a thumbnail, and extract printed and handwritten text. To rapidly experiment with the Computer Vision API, try the [Open API testing console](https://westcentralus.dev.cognitive.microsoft.com/docs/services/computer-vision-v3-ga/operations/56f91f2e778daf14a499f20c).
 
 > [!div class="nextstepaction"]
-> [Explore the Computer Vision API](https://westus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44)
+> [Explore the Computer Vision API](https://westcentralus.dev.cognitive.microsoft.com/docs/services/computer-vision-v3-ga/operations/56f91f2e778daf14a499f21b)

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

@@ -9,13 +9,13 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: computer-vision
 ms.topic: quickstart
-ms.date: 04/14/2020
+ms.date: 05/20/2020
 ms.author: pafarley
 ms.custom: seodec18
 ---
 # Quickstart: Generate a thumbnail using the Computer Vision REST API and Python
 
-In this quickstart, you'll generate a thumbnail from an image using the Computer Vision REST API. With the [Get Thumbnail](https://westcentralus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fb) method, you can specify the desired height and width, and Computer Vision uses smart cropping to intelligently identify the area of interest and generate cropping coordinates based on that region.
+In this quickstart, you'll generate a thumbnail from an image using the Computer Vision REST API. With the [Get Thumbnail](https://westcentralus.dev.cognitive.microsoft.com/docs/services/computer-vision-v3-ga/operations/56f91f2e778daf14a499f20c) method, you can specify the desired height and width, and Computer Vision uses smart cropping to intelligently identify the area of interest and generate cropping coordinates based on that region.
 
 If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/try/cognitive-services/) before you begin.
 
@@ -48,7 +48,7 @@ else:
 if 'COMPUTER_VISION_ENDPOINT' in os.environ:
     endpoint = os.environ['COMPUTER_VISION_ENDPOINT']
 
-thumbnail_url = endpoint + "vision/v2.1/generateThumbnail"
+thumbnail_url = endpoint + "vision/v3.0/generateThumbnail"
 
 # Set image_url to the URL of an image that you want to analyze.
 image_url = "https://upload.wikimedia.org/wikipedia/commons/9/94/Bloodhound_Puppy.jpg"
@@ -93,4 +93,4 @@ Next, explore a Python application that uses Computer Vision to perform optical
 > [!div class="nextstepaction"]
 > [Computer Vision API Python Tutorial](../Tutorials/PythonTutorial.md)
 
-* To rapidly experiment with the Computer Vision API, try the [Open API testing console](https://westcentralus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fa/console).
+* To rapidly experiment with the Computer Vision API, try the [Open API testing console](https://westcentralus.dev.cognitive.microsoft.com/docs/services/computer-vision-v3-ga/operations/56f91f2e778daf14a499f20c).