rm postman

Author: PatrickFarley

articles/ai-services/computer-vision/Tutorials/liveness.md

@@ -110,7 +110,7 @@ The high-level steps involved in liveness orchestration are illustrated below:
                 "method": "POST",
                 "contentLength": 352568,
                 "contentType": "multipart/form-data; boundary=--------------------------482763481579020783621915",
-                "userAgent": "PostmanRuntime/7.34.0"
+                "userAgent": ""
             },
             "response": {
                 "body": {
@@ -243,7 +243,7 @@ The high-level steps involved in liveness with verification orchestration are il
                 "method": "POST",
                 "contentLength": 352568,
                 "contentType": "multipart/form-data; boundary=--------------------------590588908656854647226496",
-                "userAgent": "PostmanRuntime/7.34.0"
+                "userAgent": ""
             },
             "response": {
                 "body": {

articles/ai-services/computer-vision/how-to/shelf-analyze.md

@@ -25,7 +25,7 @@ The fastest way to start using Product Recognition is to use the built-in pretra
 * Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision"  title="create a Vision resource"  target="_blank">create a Vision resource</a> in the Azure portal. It must be deployed in the **East US** or **West US 2** region. After it deploys, select **Go to resource**.
   * You'll need the key and endpoint from the resource you create to connect your application to the Azure AI Vision service. You'll paste your key and endpoint into the code below later in the guide.
 * An Azure Storage resource with a blob storage container. [Create one](/azure/storage/common/storage-account-create?tabs=azure-portal)
-* [cURL](https://curl.haxx.se/) installed. Or, you can use a different REST platform, like Postman, Swagger, or the REST Client extension for VS Code.
+* [cURL](https://curl.haxx.se/) installed. Or, you can use a different REST platform, like Swagger or the [REST Client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) extension for VS Code.
 * A shelf image. You can download our [sample image](https://github.com/Azure-Samples/cognitive-services-sample-data-files/blob/master/ComputerVision/shelf-analysis/shelf.png) or bring your own images. The maximum file size per image is 20 MB.
 
 ## Analyze shelf images

articles/ai-services/computer-vision/how-to/shelf-modify-images.md

@@ -24,7 +24,7 @@ This guide also shows you how to use the **Rectification API** to correct for pe
 * Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision"  title="create a Vision resource"  target="_blank">create a Vision resource</a> in the Azure portal. It must be deployed in the **East US** or **West US 2** region. After it deploys, select **Go to resource**.
   * You'll need the key and endpoint from the resource you create to connect your application to the Azure AI Vision service. You'll paste your key and endpoint into the code below later in the quickstart.
 * An Azure Storage resource with a blob storage container. [Create one](/azure/storage/common/storage-account-create?tabs=azure-portal)
-* [cURL](https://curl.haxx.se/) installed. Or, you can use a different REST platform, like Postman, Swagger, or the REST Client extension for VS Code.
+* [cURL](https://curl.haxx.se/) installed. Or, you can use a different REST platform, like Swagger or the [REST Client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) extension for VS Code.
 * A set of photos that show adjacent parts of the same shelf. A 50% overlap between images is recommended. You can download and use the sample "unstitched" images from [GitHub](https://github.com/Azure-Samples/cognitive-services-sample-data-files/tree/master/ComputerVision/shelf-analysis).
 
 

articles/ai-services/computer-vision/how-to/shelf-planogram.md

@@ -22,7 +22,7 @@ A planogram is a diagram that indicates the correct placement of retail products
 
 ## Prerequisites
 * You must have already set up and run basic [Product Understanding analysis](./shelf-analyze.md) with the Product Understanding API.
-* [cURL](https://curl.haxx.se/) installed. Or, you can use a different REST platform, like Postman, Swagger, or the REST Client extension for VS Code.
+* [cURL](https://curl.haxx.se/) installed. Or, you can use a different REST platform, like Swagger or the [REST Client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) extension for VS Code.
 
 ## Prepare a planogram schema
 

articles/ai-services/custom-vision-service/copy-move-projects.md

@@ -14,7 +14,7 @@ ms.author: pafarley
 
 After you've created and trained a Custom Vision project, you may want to copy your project to another resource. If your app or business depends on a Custom Vision project, we recommend you copy your model to another Custom Vision account in another region. Then if a regional outage occurs, you can access your project in the region where it was copied.
 
-The **[ExportProject](https://westus2.dev.cognitive.microsoft.com/docs/services/Custom_Vision_Training_3.3/operations/5eb0bcc6548b571998fddeb3)** and **[ImportProject](https://westus2.dev.cognitive.microsoft.com/docs/services/Custom_Vision_Training_3.3/operations/5eb0bcc7548b571998fddee3)** APIs enable this scenario by allowing you to copy projects from one Custom Vision account into others. This guide shows you how to use these REST APIs with cURL. You can also use an HTTP request service like Postman to issue the requests.
+The **[ExportProject](https://westus2.dev.cognitive.microsoft.com/docs/services/Custom_Vision_Training_3.3/operations/5eb0bcc6548b571998fddeb3)** and **[ImportProject](https://westus2.dev.cognitive.microsoft.com/docs/services/Custom_Vision_Training_3.3/operations/5eb0bcc7548b571998fddee3)** APIs enable this scenario by allowing you to copy projects from one Custom Vision account into others. This guide shows you how to use these REST APIs with cURL. You can also use an HTTP request service, like the [REST Client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) for Visual Studio Code, to issue the requests.
 
 > [!TIP]
 > For an example of this scenario using the Python client library, see the [Move Custom Vision Project](https://github.com/Azure-Samples/custom-vision-move-project/tree/master/) repository on GitHub.

articles/ai-services/custom-vision-service/storage-integration.md

@@ -17,7 +17,7 @@ You can integrate your Custom Vision project with an Azure blob storage queue to
 
 You can also use Azure storage to store backup copies of your published models.
 
-This guide shows you how to use these REST APIs with cURL. You can also use an HTTP request service like Postman to make the requests.
+This guide shows you how to use these REST APIs with cURL. You can also use an HTTP request service, like the [REST Client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) for Visual Studio Code, to make the requests.
 
 > [!NOTE]
 > Push notifications depend on the optional _notificationQueueUri_ parameter in the **CreateProject** API, and model backups require that you also use the optional _exportModelContainerUri_ parameter. This guide will use both for the full set of features.