Fixes

Author: dargilco

articles/ai-services/computer-vision/how-to/background-removal.md

@@ -80,7 +80,7 @@ Create a new **VisionSource** object from the URL of the image you want to analy
 [!code-csharp[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/csharp/image-analysis/how-to/program.cs?name=vision_source)]
 
 > [!TIP]
-> You can also analyze a local image by passing in the full-path image file name. See [VisionSource.FromFile](/dotnet/api/azure.ai.vision.common.visionsource.fromfile).
+> You can also analyze a local image by passing in the full-path image file name (see [VisionSource.FromFile](/dotnet/api/azure.ai.vision.common.visionsource.fromfile)), or by copying the image into the SDK's input buffer (see [VisionSource.FromImageSourceBuffer](/dotnet/api/azure.ai.vision.common.visionsource.fromimagesourcebuffer))
 
 #### [Python](#tab/python)
 
@@ -89,7 +89,7 @@ In your script, create a new [VisionSource](/python/api/azure-ai-vision/azure.ai
 [!code-python[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/python/image-analysis/how-to/main.py?name=vision_source)]
 
 > [!TIP]
-> You can also analyze a local image by passing in the full-path image file name to the **VisionSource** constructor instead of the image URL.
+> You can also analyze a local image by passing in the full-path image file name to the **VisionSource** constructor instead of the image URL (see argument name **filename**). Alternatively, you can analyze an image in a memory buffer by constructing **VisionSource** using the argument **image_source_buffer**.
 
 #### [C++](#tab/cpp)
 
@@ -98,7 +98,7 @@ Create a new **VisionSource** object from the URL of the image you want to analy
 [!code-cpp[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/cpp/image-analysis/how-to/how-to.cpp?name=vision_source)]
 
 > [!TIP]
-> You can also analyze a local image by passing in the full-path image file name. See [VisionSource::FromFile](/cpp/cognitive-services/vision/input-visionsource#fromfile).
+> You can also analyze a local image by passing in the full-path image file name (see [VisionSource::FromFile](/cpp/cognitive-services/vision/input-visionsource#fromfile)), or by copying the image into the SDK's input buffer (see  [VisionSource::FromImageSourceBuffer](/cpp/cognitive-services/vision/input-visionsource#fromimagesourcebuffer)).
 
 #### [REST API](#tab/rest)
 

articles/ai-services/computer-vision/includes/how-to-guides/analyze-image-40-cpp.md

@@ -41,8 +41,6 @@ You can select an image by providing a publicly accessible image URL, a local im
 
 Create a new **VisionSource** object from the URL of the image you want to analyze, using the static constructor [VisionSource::FromUrl](/cpp/cognitive-services/vision/input-visionsource#fromurl).
 
-The code in this guide uses an example image URL. You may want to try different images on your own to see the full capability of the Image Analysis service.
-
 [!code-cpp[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/cpp/image-analysis/how-to/how-to.cpp?name=vision_source)]
 
 ### Image file
@@ -60,7 +58,7 @@ This is done by first creating a new [ImageSourceBuffer](/cpp/cognitive-services
 ```cpp
   auto imageSourceBuffer = std::make_shared<ImageSourceBuffer>();
   imageSourceBuffer->GetWriter()->Write(imageBuffer.data(), imageBuffer.size());
-  auto visionSource = VisionSource::FromImageSourceBuffer(imageSourceBuffer);
+  auto imageSource = VisionSource::FromImageSourceBuffer(imageSourceBuffer);
 ```
 
 ## Select analysis options

articles/ai-services/computer-vision/includes/how-to-guides/analyze-image-40-csharp.md

@@ -38,8 +38,6 @@ You can select an image by providing a publicly accessible image URL, a local im
 
 Create a new **VisionSource** object from the URL of the image you want to analyze, using the static constructor [VisionSource.FromUrl](/dotnet/api/azure.ai.vision.common.visionsource.fromurl). **VisionSource** implements **IDisposable**, therefore create the object with a **using** statement or explicitly call **Dispose** method after analysis completes.
 
-The code in this guide uses an example image URL. You may want to try different images on your own to see the full capability of the Image Analysis service.
-
 [!code-csharp[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/csharp/image-analysis/how-to/program.cs?name=vision_source)]
 
 ### Image file
@@ -57,7 +55,7 @@ This is done by first creating a new [ImageSourceBuffer](/dotnet/api/azure.ai.vi
 ```csharp
 using var imageSourceBuffer = new ImageSourceBuffer();
 imageSourceBuffer.GetWriter().Write(imageBuffer);
-using var visionSource = VisionSource.FromImageSourceBuffer(imageSourceBuffer);
+using var imageSource = VisionSource.FromImageSourceBuffer(imageSourceBuffer);
 ```
 
 Both **VisionSource** and **ImageSourceBuffer** implement **IDisposable**, therefore create the objects with a **using** statement or explicitly call their **Dispose** method after analysis completes.

articles/ai-services/computer-vision/includes/how-to-guides/analyze-image-40-python.md

@@ -38,8 +38,6 @@ You can select an image by providing a publicly accessible image URL, a local im
 
 In your script, create a new [VisionSource](/python/api/azure-ai-vision/azure.ai.vision.visionsource) object from the URL of the image you want to analyze.
 
-The code in this guide uses an example image URL. You may want to try different images on your own to see the full capability of the Image Analysis service.
-
 [!code-python[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/python/image-analysis/how-to/main.py?name=vision_source)]
 
 ### Image file
@@ -52,12 +50,10 @@ In your script, create a new [VisionSource](/python/api/azure-ai-vision/azure.ai
 
 In your script, first create an [image_source_buffer](/python/api/azure-ai-vision/azure.ai.vision.imagesourcebuffer). Get its [image_writer](/python/api/azure-ai-vision/azure.ai.vision.imagewriter) and call the **write** method to copy the image data into the writer. Then create a new [vision_source](/python/api/azure-ai-vision/azure.ai.vision.visionsource) object from your **image_source_buffer**. In the following code example, `image_buffer` is a variable of type `bytes` containing the image data.
 
-```java
-import azure.ai.vision as visionsdk
-
-image_source_buffer = visionsdk.ImageSourceBuffer()
+```python
+image_source_buffer = sdk.ImageSourceBuffer()
 image_source_buffer.image_writer.write(image_buffer)
-vision_source = visionsdk.VisionSource(image_source_buffer=image_source_buffer)
+vision_source = sdk.VisionSource(image_source_buffer=image_source_buffer)
 ```
 
 ## Select analysis options