change endpoint language; use region-based snippets

Author: PatrickFarley

articles/cognitive-services/Custom-Vision-Service/csharp-tutorial-od.md

@@ -40,7 +40,7 @@ Open the _Program.cs_ file and inspect the code. [Create environment variables](
 
 [!code-csharp[](~/cognitive-services-dotnet-sdk-samples/CustomVision/ObjectDetection/Program.cs?name=snippet_keys)]
 
-Also, get your Endpoint URL by selecting your Custom Vision resource in the Azure portal. Save it to an environment variable called `CUSTOM_VISION_ENDPOINT`. The script saves a reference to it at the root of your class.
+Also, get your Endpoint URL from the Settings page of the Custom Vision website. Save it to an environment variable called `CUSTOM_VISION_ENDPOINT`. The script saves a reference to it at the root of your class.
 
 [!code-csharp[](~/cognitive-services-dotnet-sdk-samples/CustomVision/ObjectDetection/Program.cs?name=snippet_endpoint)]
 

articles/cognitive-services/Custom-Vision-Service/csharp-tutorial.md

@@ -39,7 +39,7 @@ Open the _Program.cs_ file and inspect the code. [Create environment variables](
 
 [!code-csharp[](~/cognitive-services-dotnet-sdk-samples/CustomVision/ImageClassification/Program.cs?name=snippet_keys)]
 
-Also, get your Endpoint URL by selecting your Custom Vision resource in the Azure portal. Save it to an environment variable called `CUSTOM_VISION_ENDPOINT`. The script saves a reference to it at the root of your class.
+Also, get your Endpoint URL from the Settings page of the Custom Vision website. Save it to an environment variable called `CUSTOM_VISION_ENDPOINT`. The script saves a reference to it at the root of your class.
 
 [!code-csharp[](~/cognitive-services-dotnet-sdk-samples/CustomVision/ImageClassification/Program.cs?name=snippet_endpoint)]
 

articles/cognitive-services/Custom-Vision-Service/go-tutorial-object-detection.md

@@ -44,7 +44,9 @@ Create a new file called *sample.go* in your preferred project directory.
 
 ### Create the Custom Vision service project
 
-Add the following code to your script to create a new Custom Vision service project. Insert your subscription keys in the appropriate definitions. See the [CreateProject](https://docs.microsoft.com/java/api/com.microsoft.azure.cognitiveservices.vision.customvision.training.trainings.createproject?view=azure-java-stable#com_microsoft_azure_cognitiveservices_vision_customvision_training_Trainings_createProject_String_CreateProjectOptionalParameter_) method to specify other options when you create your project (explained in the [Build a detector](get-started-build-detector.md) web portal guide).
+Add the following code to your script to create a new Custom Vision service project. Insert your subscription keys in the appropriate definitions. Also, get your Endpoint URL from the Settings page of the Custom Vision website.
+
+See the [CreateProject](https://docs.microsoft.com/java/api/com.microsoft.azure.cognitiveservices.vision.customvision.training.trainings.createproject?view=azure-java-stable#com_microsoft_azure_cognitiveservices_vision_customvision_training_Trainings_createProject_String_CreateProjectOptionalParameter_) method to specify other options when you create your project (explained in the [Build a detector](get-started-build-detector.md) web portal guide).
 
 ```go
 import(
@@ -63,7 +65,7 @@ var (
     training_key string = "<your training key>"
     prediction_key string = "<your prediction key>"
     prediction_resource_id = "<your prediction resource id>"
-    endpoint string = "https://southcentralus.api.cognitive.microsoft.com"
+    endpoint string = "<your endpoint URL>"
     project_name string = "Go Sample OD Project"
     iteration_publish_name = "detectModel"
     sampleDataDirectory = "<path to sample images>"

articles/cognitive-services/Custom-Vision-Service/go-tutorial.md

@@ -44,7 +44,9 @@ Create a new file called *sample.go* in your preferred project directory.
 
 ### Create the Custom Vision service project
 
-Add the following code to your script to create a new Custom Vision service project. Insert your subscription keys in the appropriate definitions. See the [CreateProject](https://docs.microsoft.com/java/api/com.microsoft.azure.cognitiveservices.vision.customvision.training.trainings.createproject?view=azure-java-stable#com_microsoft_azure_cognitiveservices_vision_customvision_training_Trainings_createProject_String_CreateProjectOptionalParameter_) method to specify other options when you create your project (explained in the [Build a classifier](getting-started-build-a-classifier.md) web portal guide).
+Add the following code to your script to create a new Custom Vision service project. Insert your subscription keys in the appropriate definitions. Also, get your Endpoint URL from the Settings page of the Custom Vision website.
+
+See the [CreateProject](https://docs.microsoft.com/java/api/com.microsoft.azure.cognitiveservices.vision.customvision.training.trainings.createproject?view=azure-java-stable#com_microsoft_azure_cognitiveservices_vision_customvision_training_Trainings_createProject_String_CreateProjectOptionalParameter_) method to specify other options when you create your project (explained in the [Build a classifier](getting-started-build-a-classifier.md) web portal guide).
 
 ```go
 import(
@@ -63,7 +65,7 @@ var (
     training_key string = "<your training key>"
     prediction_key string = "<your prediction key>"
     prediction_resource_id = "<your prediction resource id>"
-    endpoint string = "https://southcentralus.api.cognitive.microsoft.com"
+    endpoint string = "<your endpoint URL>"
     project_name string = "Go Sample Project"
     iteration_publish_name = "classifyModel"
     sampleDataDirectory = "<path to sample images>"

articles/cognitive-services/Custom-Vision-Service/logo-detector-mobile.md

@@ -52,7 +52,7 @@ After you upload the training images, select the first one on the display. The t
 
 The app is configured to work with specific tag strings. You'll find the definitions in the *Source\VisualProvision\Services\Recognition\RecognitionService.cs* file:
 
-[!code-csharp[Tag definitions](~/AIVisualProvision/Source/VisualProvision/Services/Recognition/RecognitionService.cs?range=18-33)]
+[!code-csharp[Tag definitions](~/AIVisualProvision/Source/VisualProvision/Services/Recognition/RecognitionService.cs?name=snippet_constants)]
 
 After you tag an image, go to the right to tag the next one. Close the tagging window when you finish.
 
@@ -68,19 +68,19 @@ After your model is trained, you're ready to integrate it into your app. You'll
 
 ![The Custom Vision website, showing a Prediction API window that displays a URL address and API key](media/azure-logo-tutorial/cusvis-endpoint.png)
 
-Copy the image file URL and the **Prediction-Key** value to the appropriate fields in the *Source\VisualProvision\AppSettings.cs* file:
+Copy the endpoint URL and the **Prediction-Key** value to the appropriate fields in the *Source\VisualProvision\AppSettings.cs* file:
 
-[!code-csharp[Custom Vision fields](~/AIVisualProvision/Source/VisualProvision/AppSettings.cs?range=22-26)]
+[!code-csharp[Custom Vision fields](~/AIVisualProvision/Source/VisualProvision/AppSettings.cs?name=snippet_cusvis_keys)]
 
 ## Examine Custom Vision usage
 
 Open the *Source/VisualProvision/Services/Recognition/CustomVisionService.cs* file to see how the app uses your Custom Vision key and endpoint URL. The **PredictImageContentsAsync** method takes a byte stream of an image file along with a cancellation token (for asynchronous task management), calls the Custom Vision prediction API, and returns the result of the prediction. 
 
-[!code-csharp[Custom Vision fields](~/AIVisualProvision/Source/VisualProvision/Services/Recognition/CustomVisionService.cs?range=12-28)]
+[!code-csharp[Custom Vision fields](~/AIVisualProvision/Source/VisualProvision/Services/Recognition/CustomVisionService.cs?name=snippet_prediction)]
 
 This result takes the form of a **PredictionResult** instance, which itself contains a list of **Prediction** instances. A **Prediction** contains a detected tag and its bounding box location in the image.
 
-[!code-csharp[Custom Vision fields](~/AIVisualProvision/Source/VisualProvision/Services/Recognition/Prediction.cs?range=3-12)]
+[!code-csharp[Custom Vision fields](~/AIVisualProvision/Source/VisualProvision/Services/Recognition/Prediction.cs?name=snippet_prediction_class)]
 
 To learn more about how the app handles this data, start with the **GetResourcesAsync** method. This method is defined in the *Source/VisualProvision/Services/Recognition/RecognitionService.cs* file.  
 
@@ -94,7 +94,7 @@ Subscribe to the Computer Vision service to get a key and endpoint URL. For help
 
 Next, open the *Source\VisualProvision\AppSettings.cs* file and populate the `ComputerVisionEndpoint` and `ComputerVisionKey` variables with the correct values.
 
-[!code-csharp[Computer Vision fields](~/AIVisualProvision/Source/VisualProvision/AppSettings.cs?range=28-32)]
+[!code-csharp[Computer Vision fields](~/AIVisualProvision/Source/VisualProvision/AppSettings.cs?name=snippet_comvis_keys)]
 
 ## Create a service principal
 
@@ -128,7 +128,7 @@ Upon successful completion, you should see the following JSON output, including
 
 Take note of the `clientId` and `tenantId` values. Add them to the appropriate fields in the *Source\VisualProvision\AppSettings.cs* file.
 
-[!code-csharp[Computer Vision fields](~/AIVisualProvision/Source/VisualProvision/AppSettings.cs?range=8-16)]
+[!code-csharp[Computer Vision fields](~/AIVisualProvision/Source/VisualProvision/AppSettings.cs?name=snippet_serviceprincipal)]
 
 ## Run the app
 

articles/cognitive-services/Custom-Vision-Service/node-tutorial-object-detection.md

@@ -57,7 +57,7 @@ const predictionKey = "<your prediction key>";
 const predictionResourceId = "<your prediction resource id>";
 const sampleDataRoot = "<path to image files>";
 
-const endPoint = "https://southcentralus.api.cognitive.microsoft.com"
+const endPoint = "https://<my-resource-name>.cognitiveservices.azure.com/"
 
 const publishIterationName = "detectModel";
 

articles/cognitive-services/Custom-Vision-Service/node-tutorial.md

@@ -56,7 +56,7 @@ const predictionKey = "<your prediction key>";
 const predictionResourceId = "<your prediction resource id>";
 const sampleDataRoot = "<path to image files>";
 
-const endPoint = "https://southcentralus.api.cognitive.microsoft.com"
+const endPoint = "https://<my-resource-name>.cognitiveservices.azure.com/"
 
 const publishIterationName = "classifyModel";
 

articles/cognitive-services/Custom-Vision-Service/python-tutorial-od.md

@@ -42,13 +42,15 @@ Create a new file called *sample.py* in your preferred project directory.
 
 ### Create the Custom Vision service project
 
-Add the following code to your script to create a new Custom Vision service project. Insert your subscription keys in the appropriate definitions. See the [create_project](https://docs.microsoft.com/python/api/azure-cognitiveservices-vision-customvision/azure.cognitiveservices.vision.customvision.training.custom_vision_training_client.customvisiontrainingclient?view=azure-python#create-project-name--description-none--domain-id-none--classification-type-none--target-export-platforms-none--custom-headers-none--raw-false----operation-config- ) method to specify other options when you create your project (explained in the [Build a detector](get-started-build-detector.md) web portal guide).  
+Add the following code to your script to create a new Custom Vision service project. Insert your subscription keys in the appropriate definitions. Also, get your Endpoint URL from the Settings page of the Custom Vision website.
+
+See the [create_project](https://docs.microsoft.com/python/api/azure-cognitiveservices-vision-customvision/azure.cognitiveservices.vision.customvision.training.custom_vision_training_client.customvisiontrainingclient?view=azure-python#create-project-name--description-none--domain-id-none--classification-type-none--target-export-platforms-none--custom-headers-none--raw-false----operation-config- ) method to specify other options when you create your project (explained in the [Build a detector](get-started-build-detector.md) web portal guide).  
 
 ```Python
 from azure.cognitiveservices.vision.customvision.training import CustomVisionTrainingClient
 from azure.cognitiveservices.vision.customvision.training.models import ImageFileCreateEntry, Region
 
-ENDPOINT = "https://southcentralus.api.cognitive.microsoft.com"
+ENDPOINT = "<your API endpoint>"
 
 # Replace with a valid key
 training_key = "<your training key>"

articles/cognitive-services/Custom-Vision-Service/python-tutorial.md

@@ -34,20 +34,21 @@ pip install azure-cognitiveservices-vision-customvision
 
 [!INCLUDE [python-get-images](includes/python-get-images.md)]
 
-
 ## Add the code
 
 Create a new file called *sample.py* in your preferred project directory.
 
 ### Create the Custom Vision service project
 
-Add the following code to your script to create a new Custom Vision service project. Insert your subscription keys in the appropriate definitions. See the [create_project](https://docs.microsoft.com/python/api/azure-cognitiveservices-vision-customvision/azure.cognitiveservices.vision.customvision.training.custom_vision_training_client.customvisiontrainingclient?view=azure-python#create-project-name--description-none--domain-id-none--classification-type-none--target-export-platforms-none--custom-headers-none--raw-false----operation-config- ) method to specify other options when you create your project (explained in the [Build a classifier](getting-started-build-a-classifier.md) web portal guide).   
+Add the following code to your script to create a new Custom Vision service project. Insert your subscription keys in the appropriate definitions. Also, get your Endpoint URL from the Settings page of the Custom Vision website.
+
+See the [create_project](https://docs.microsoft.com/python/api/azure-cognitiveservices-vision-customvision/azure.cognitiveservices.vision.customvision.training.custom_vision_training_client.customvisiontrainingclient?view=azure-python#create-project-name--description-none--domain-id-none--classification-type-none--target-export-platforms-none--custom-headers-none--raw-false----operation-config- ) method to specify other options when you create your project (explained in the [Build a classifier](getting-started-build-a-classifier.md) web portal guide).  
 
 ```Python
 from azure.cognitiveservices.vision.customvision.training import CustomVisionTrainingClient
 from azure.cognitiveservices.vision.customvision.training.models import ImageFileCreateEntry
 
-ENDPOINT = "https://southcentralus.api.cognitive.microsoft.com"
+ENDPOINT = "<your API endpoint>"
 
 # Replace with a valid key
 training_key = "<your training key>"