Prepare for Face SDK release (Azure#44153)

* Update codegen

* Correct sample and customization

* Remove not supported operation from README

* Update to latest spec

* Add back assert for detect customization

* Update 1.0.0-beta.1 release date

* Remove empty block in changelog

Author: Han-msft

sdk/face/Azure.AI.Vision.Face/CHANGELOG.md

@@ -1,6 +1,6 @@
 # Release History
 
-## 1.0.0-beta.1 (Unreleased)
+## 1.0.0-beta.1 (2024-05-24)
 
 This is the first preview Azure AI Face client library that follows the [.NET Azure SDK Design Guidelines](https://azure.github.io/azure-sdk/dotnet_introduction.html).
 This library replaces the package [Microsoft.Azure.CognitiveServices.Vision.Face](https://www.nuget.org/packages/Microsoft.Azure.CognitiveServices.Vision.Face).
@@ -10,16 +10,9 @@ This package's [documentation](https://github.com/Azure/azure-sdk-for-net/tree/m
 - This library supports only the Azure AI Face v1.1-preview.1 API.
 - The namespace/package name for Azure AI Face has changed from `Microsoft.Azure.CognitiveServices.Vision.Face` to `Azure.AI.Vision.Face`.
 - Three client design:
-  - `FaceClient` to perform core Face functions such as face detection, recognition(identification and verification), finding similar faces and grouping faces.
-  - `FaceAdministrationClient` to managed the following data structures that hold data on faces and persons for Face recognition.
+  - `FaceClient` to perform core Face functions such as face detection, verification, finding similar faces and grouping faces.
   - `FaceSessionClient` to interact with sessions which is used for Liveness detection.
 
 ### Features Added
 
 - Added support for Liveness detection.
-
-### Breaking Changes
-
-### Bugs Fixed
-
-### Other Changes

sdk/face/Azure.AI.Vision.Face/README.md

@@ -8,7 +8,6 @@ Use the client library for to:
 - Liveness detection
 - Face recognition
   - Face verification ("one-to-one" matching)
-  - Face identification ("one-to-many" matching)
   - Find similar faces
   - Group faces
 
@@ -108,21 +107,10 @@ var client = new FaceClient(endpoint, credential);
 
 - Face detection and analysis: Detect human faces in an image and return the rectangle coordinates of their locations, and optionally with landmarks, and face-related attributes. This operation is required as a first step in all the other face recognition scenarios.
 - Face recognition: Confirm that a user is who they claim to be based on how closely their face data matches the target face.
-   It includes Face verification ("one-to-one" matching) and Face identification ("one-to-many" matching).
+   Support Face verification ("one-to-one" matching).
 - Finding similar faces from a smaller set of faces that look similar to the target face.
 - Grouping faces into several smaller groups based on similarity.
 
-### FaceAdministrationClient
-
-`FaceAdministrationClient` is provided to interact with the following data structures that hold data on faces and
-persons for Face recognition:
-
-- PersonDirectory
-- FaceList
-- LargeFaceList
-- PersonGroup
-- LargePersonGroup
-
 ### FaceSessionClient
 
 `FaceSessionClient` is provided to interact with sessions which is used for Liveness detection.
@@ -278,7 +266,7 @@ For example, if you submit a image with an invalid `Uri`, a `400` error is retur
 ```C# Snippet:DetectFacesInvalidUrl
 var invalidUri = new Uri("http://invalid.uri");
 try {
-    var detectResponse = client.DetectFromUrl(
+    var detectResponse = client.Detect(
         invalidUri,
         FaceDetectionModel.Detection01,
         FaceRecognitionModel.Recognition04,
@@ -373,8 +361,8 @@ This project has adopted the [Microsoft Open Source Code of Conduct][code_of_con
 [face_sample_detection]: https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/samples/Sample1_FaceDetection.md
 [liveness_tutorial]: https://learn.microsoft.com/azure/ai-services/computer-vision/tutorials/liveness
 [integrate_liveness_into_mobile_application]: https://learn.microsoft.com/azure/ai-services/computer-vision/tutorials/liveness#integrate-liveness-into-mobile-application
-[face_sample_liveness_session]: https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/samples/Sample3_DetectLivenessWithSession.md
-[face_sample_liveness_with_verify_session]: https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/samples/Sample4_DetectLivenessWithVerifyWithSession.md
+[face_sample_liveness_session]: https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/samples/Sample2_DetectLivenessWithSession.md
+[face_sample_liveness_with_verify_session]: https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/samples/Sample3_DetectLivenessWithVerifyWithSession.md
 
 [logging]: https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/core/Azure.Core/samples/Diagnostics.md
 

sdk/face/Azure.AI.Vision.Face/samples/README.md

@@ -15,6 +15,5 @@ Azure AI Vision Face is a cloud service that  gives you access to advanced algor
 - Detect faces from image [synchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample1_FaceDetection.cs) or [asynchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample1_FaceDetectionAsync.cs)
   - From local image file
   - From URL
-- Verification and identification from Large Person Group [synchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample2_LargePersonGroup.cs) or [asynchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample2_LargePersonGroupAsync.cs)
-- Detect liveness in faces with session [synchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample3_DetectLivenessWithSession.cs) or [asynchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample3_DetectLivenessWithSessionAsync.cs)
-- Detect liveness with face verification with session [synchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample4_DetectLivenessWithVerifyWithSession.cs) or [asynchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample4_DetectLivenessWithVerifyWithSessionAsync.cs)
+- Detect liveness in faces with session [synchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample2_DetectLivenessWithSession.cs) or [asynchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample2_DetectLivenessWithSessionAsync.cs)
+- Detect liveness with face verification with session [synchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample3_DetectLivenessWithVerifyWithSession.cs) or [asynchronously](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/face/Azure.AI.Vision.Face/tests/samples/Sample3_DetectLivenessWithVerifyWithSessionAsync.cs)

sdk/face/Azure.AI.Vision.Face/samples/Sample1_FaceDetection.md

@@ -79,7 +79,7 @@ foreach (var detectedFace in detectedFaces)
 You can also detect faces from an image URL. The following code demonstrates how to detect faces from an image URL.
 
 ```C# Snippet:DetectFacesFromUrl
-var detectResponse = client.DetectFromUrl(
+var detectResponse = client.Detect(
     imageUri,
     FaceDetectionModel.Detection01,
     FaceRecognitionModel.Recognition04,

sdk/face/Azure.AI.Vision.Face/samples/Sample1_FaceDetectionAsync.md

@@ -79,7 +79,7 @@ foreach (var detectedFace in detectedFaces)
 You can also detect faces from an image URL. The following code demonstrates how to detect faces from an image URL.
 
 ```C# Snippet:DetectFacesFromUrlAsync
-var detectResponse = await client.DetectFromUrlAsync(
+var detectResponse = await client.DetectAsync(
     imageUri,
     FaceDetectionModel.Detection01,
     FaceRecognitionModel.Recognition04,