Merge branch 'MicrosoftDocs:main' into patch-1

azarboon · Jul 23, 2024 · 9c196d6 · 9c196d6
2 parents 56ba172 + b4e7d93
commit 9c196d6
Showing 163 changed files with 2,544 additions and 1,475 deletions.
diff --git a/.openpublishing.redirection.json b/.openpublishing.redirection.json
@@ -4162,6 +4162,21 @@
             "redirect_url": "/azure/service-fabric/service-fabric-best-practices-security",
             "redirect_document_id": false
         },
+        {
+            "source_path_from_root": "/articles/service-fabric/service-fabric-diagnostics-overview.md",
+            "redirect_url": "/azure/service-fabric/monitor-service-fabric",
+            "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/service-fabric/service-fabric-diagnostics-event-generation-perf.md",
+            "redirect_url": "/azure/service-fabric/monitor-service-fabric-reference#performance-metrics",
+            "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/service-fabric/service-fabric-diagnostics-event-generation-app.md",
+            "redirect_url": "/azure/service-fabric/monitor-service-fabric#application-monitoring",
+            "redirect_document_id": false
+        },
         {
             "source_path_from_root": "/articles/virtual-desktop/partners.md",
             "redirect_url": "https://azuremarketplace.microsoft.com/marketplace/apps?page=1&search=azure%20virtual%20desktop",

diff --git a/articles/ai-services/computer-vision/Tutorials/liveness.md b/articles/ai-services/computer-vision/Tutorials/liveness.md
@@ -87,8 +87,8 @@ The high-level steps involved in liveness orchestration are illustrated below:
 
     #### [C#](#tab/csharp)
     ```csharp
-    var endpoint = new Uri(System.Environment.GetEnvironmentVariable("VISION_ENDPOINT"));
-    var credential = new AzureKeyCredential(System.Environment.GetEnvironmentVariable("VISION_KEY"));
+    var endpoint = new Uri(System.Environment.GetEnvironmentVariable("FACE_ENDPOINT"));
+    var credential = new AzureKeyCredential(System.Environment.GetEnvironmentVariable("FACE_APIKEY"));
 
     var sessionClient = new FaceSessionClient(endpoint, credential);
 
@@ -107,8 +107,8 @@ The high-level steps involved in liveness orchestration are illustrated below:
 
     #### [Java](#tab/java)
     ```java
-    String endpoint = System.getenv("VISION_ENDPOINT");
-    String accountKey = System.getenv("VISION_KEY");
+    String endpoint = System.getenv("FACE_ENDPOINT");
+    String accountKey = System.getenv("FACE_APIKEY");
 
     FaceSessionClient sessionClient = new FaceSessionClientBuilder()
         .endpoint(endpoint)
@@ -127,8 +127,8 @@ The high-level steps involved in liveness orchestration are illustrated below:
 
     #### [Python](#tab/python)
     ```python
-    endpoint = os.environ["VISION_ENDPOINT"]
-    key = os.environ["VISION_KEY"]
+    endpoint = os.environ["FACE_ENDPOINT"]
+    key = os.environ["FACE_APIKEY"]
 
     face_session_client = FaceSessionClient(endpoint=endpoint, credential=AzureKeyCredential(key))
 
@@ -171,8 +171,8 @@ The high-level steps involved in liveness orchestration are illustrated below:
 
     #### [REST API (Windows)](#tab/cmd)
     ```console
-    curl --request POST --location "%VISION_ENDPOINT%/face/v1.1-preview.1/detectliveness/singlemodal/sessions" ^
-    --header "Ocp-Apim-Subscription-Key: %VISION_KEY%" ^
+    curl --request POST --location "%FACE_ENDPOINT%/face/v1.1-preview.1/detectliveness/singlemodal/sessions" ^
+    --header "Ocp-Apim-Subscription-Key: %FACE_APIKEY%" ^
     --header "Content-Type: application/json" ^
     --data ^
     "{ ^
@@ -184,8 +184,8 @@ The high-level steps involved in liveness orchestration are illustrated below:
 
     #### [REST API (Linux)](#tab/bash)
     ```bash
-    curl --request POST --location "${VISION_ENDPOINT}/face/v1.1-preview.1/detectliveness/singlemodal/sessions" \
-    --header "Ocp-Apim-Subscription-Key: ${VISION_KEY}" \
+    curl --request POST --location "${FACE_ENDPOINT}/face/v1.1-preview.1/detectliveness/singlemodal/sessions" \
+    --header "Ocp-Apim-Subscription-Key: ${FACE_APIKEY}" \
     --header "Content-Type: application/json" \
     --data \
     '{
@@ -303,14 +303,14 @@ The high-level steps involved in liveness orchestration are illustrated below:
 
     #### [REST API (Windows)](#tab/cmd)
     ```console
-    curl --request GET --location "%VISION_ENDPOINT%/face/v1.1-preview.1/detectliveness/singlemodal/sessions/<session-id>" ^
-    --header "Ocp-Apim-Subscription-Key: %VISION_KEY%"
+    curl --request GET --location "%FACE_ENDPOINT%/face/v1.1-preview.1/detectliveness/singlemodal/sessions/<session-id>" ^
+    --header "Ocp-Apim-Subscription-Key: %FACE_APIKEY%"
     ```
 
     #### [REST API (Linux)](#tab/bash)
     ```bash
-    curl --request GET --location "${VISION_ENDPOINT}/face/v1.1-preview.1/detectliveness/singlemodal/sessions/<session-id>" \
-    --header "Ocp-Apim-Subscription-Key: ${VISION_KEY}"
+    curl --request GET --location "${FACE_ENDPOINT}/face/v1.1-preview.1/detectliveness/singlemodal/sessions/<session-id>" \
+    --header "Ocp-Apim-Subscription-Key: ${FACE_APIKEY}"
     ```
 
     ---
@@ -394,14 +394,14 @@ The high-level steps involved in liveness orchestration are illustrated below:
 
     #### [REST API (Windows)](#tab/cmd)
     ```console
-    curl --request DELETE --location "%VISION_ENDPOINT%/face/v1.1-preview.1/detectliveness/singlemodal/sessions/<session-id>" ^
-    --header "Ocp-Apim-Subscription-Key: %VISION_KEY%"
+    curl --request DELETE --location "%FACE_ENDPOINT%/face/v1.1-preview.1/detectliveness/singlemodal/sessions/<session-id>" ^
+    --header "Ocp-Apim-Subscription-Key: %FACE_APIKEY%"
     ```
 
     #### [REST API (Linux)](#tab/bash)
     ```bash
-    curl --request DELETE --location "${VISION_ENDPOINT}/face/v1.1-preview.1/detectliveness/singlemodal/sessions/<session-id>" \
-    --header "Ocp-Apim-Subscription-Key: ${VISION_KEY}"
+    curl --request DELETE --location "${FACE_ENDPOINT}/face/v1.1-preview.1/detectliveness/singlemodal/sessions/<session-id>" \
+    --header "Ocp-Apim-Subscription-Key: ${FACE_APIKEY}"
     ```
 
     ---
@@ -443,8 +443,8 @@ The high-level steps involved in liveness with verification orchestration are il
 
         #### [C#](#tab/csharp)
         ```csharp
-        var endpoint = new Uri(System.Environment.GetEnvironmentVariable("VISION_ENDPOINT"));
-        var credential = new AzureKeyCredential(System.Environment.GetEnvironmentVariable("VISION_KEY"));
+        var endpoint = new Uri(System.Environment.GetEnvironmentVariable("FACE_ENDPOINT"));
+        var credential = new AzureKeyCredential(System.Environment.GetEnvironmentVariable("FACE_APIKEY"));
 
         var sessionClient = new FaceSessionClient(endpoint, credential);
 
@@ -467,8 +467,8 @@ The high-level steps involved in liveness with verification orchestration are il
 
         #### [Java](#tab/java)
         ```java
-        String endpoint = System.getenv("VISION_ENDPOINT");
-        String accountKey = System.getenv("VISION_KEY");
+        String endpoint = System.getenv("FACE_ENDPOINT");
+        String accountKey = System.getenv("FACE_APIKEY");
 
         FaceSessionClient sessionClient = new FaceSessionClientBuilder()
             .endpoint(endpoint)
@@ -493,8 +493,8 @@ The high-level steps involved in liveness with verification orchestration are il
 
         #### [Python](#tab/python)
         ```python
-        endpoint = os.environ["VISION_ENDPOINT"]
-        key = os.environ["VISION_KEY"]
+        endpoint = os.environ["FACE_ENDPOINT"]
+        key = os.environ["FACE_APIKEY"]
 
         face_session_client = FaceSessionClient(endpoint=endpoint, credential=AzureKeyCredential(key))
 
@@ -558,16 +558,16 @@ The high-level steps involved in liveness with verification orchestration are il
 
         #### [REST API (Windows)](#tab/cmd)
         ```console
-        curl --request POST --location "%VISION_ENDPOINT%/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions" ^
-        --header "Ocp-Apim-Subscription-Key: %VISION_KEY%" ^
+        curl --request POST --location "%FACE_ENDPOINT%/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions" ^
+        --header "Ocp-Apim-Subscription-Key: %FACE_APIKEY%" ^
         --form "Parameters=""{\\\""livenessOperationMode\\\"": \\\""passive\\\"", \\\""deviceCorrelationId\\\"": \\\""723d6d03-ef33-40a8-9682-23a1feb7bccd\\\""}""" ^
         --form "VerifyImage=@""test.png"""
         ```
 
         #### [REST API (Linux)](#tab/bash)
         ```bash
-        curl --request POST --location "${VISION_ENDPOINT}/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions" \
-        --header "Ocp-Apim-Subscription-Key: ${VISION_KEY}" \
+        curl --request POST --location "${FACE_ENDPOINT}/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions" \
+        --header "Ocp-Apim-Subscription-Key: ${FACE_APIKEY}" \
         --form 'Parameters="{
             \"livenessOperationMode\": \"passive\",
             \"deviceCorrelationId\": \"723d6d03-ef33-40a8-9682-23a1feb7bccd\"
@@ -693,14 +693,14 @@ The high-level steps involved in liveness with verification orchestration are il
 
     #### [REST API (Windows)](#tab/cmd)
     ```console
-    curl --request GET --location "%VISION_ENDPOINT%/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions/<session-id>" ^
-    --header "Ocp-Apim-Subscription-Key: %VISION_KEY%"
+    curl --request GET --location "%FACE_ENDPOINT%/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions/<session-id>" ^
+    --header "Ocp-Apim-Subscription-Key: %FACE_APIKEY%"
     ```
 
     #### [REST API (Linux)](#tab/bash)
     ```bash
-    curl --request GET --location "${VISION_ENDPOINT}/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions/<session-id>" \
-    --header "Ocp-Apim-Subscription-Key: ${VISION_KEY}"
+    curl --request GET --location "${FACE_ENDPOINT}/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions/<session-id>" \
+    --header "Ocp-Apim-Subscription-Key: ${FACE_APIKEY}"
     ```
 
     ---
@@ -788,14 +788,14 @@ The high-level steps involved in liveness with verification orchestration are il
 
     #### [REST API (Windows)](#tab/cmd)
     ```console
-    curl --request DELETE --location "%VISION_ENDPOINT%/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions/<session-id>" ^
-    --header "Ocp-Apim-Subscription-Key: %VISION_KEY%"
+    curl --request DELETE --location "%FACE_ENDPOINT%/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions/<session-id>" ^
+    --header "Ocp-Apim-Subscription-Key: %FACE_APIKEY%"
     ```
 
     #### [REST API (Linux)](#tab/bash)
     ```bash
-    curl --request DELETE --location "${VISION_ENDPOINT}/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions/<session-id>" \
-    --header "Ocp-Apim-Subscription-Key: ${VISION_KEY}"
+    curl --request DELETE --location "${FACE_ENDPOINT}/face/v1.1-preview.1/detectlivenesswithverify/singlemodal/sessions/<session-id>" \
+    --header "Ocp-Apim-Subscription-Key: ${FACE_APIKEY}"
     ```
 
     ---

diff --git a/articles/ai-services/computer-vision/how-to/add-faces.md b/articles/ai-services/computer-vision/how-to/add-faces.md
@@ -18,7 +18,7 @@ ms.custom: devx-track-csharp
 
 [!INCLUDE [Gate notice](../includes/identity-gate-notice.md)]
 
-This guide demonstrates how to add a large number of persons and faces to a **PersonGroup** object. The same strategy also applies to **LargePersonGroup**, **FaceList**, and **LargeFaceList** objects. This sample is written in C# and uses the Azure AI Face .NET client library.
+This guide demonstrates how to add a large number of persons and faces to a **PersonGroup** object. The same strategy also applies to **LargePersonGroup**, **FaceList**, and **LargeFaceList** objects. This sample is written in C#.
 
 ## Initialization
 
@@ -57,10 +57,6 @@ static async Task WaitCallLimitPerSecondAsync()
 }
 ```
 
-## Authorize the API call
-
-When you use the Face client library, the key and subscription endpoint are passed in through the constructor of the FaceClient class. See the [quickstart](../quickstarts-sdk/identity-client-library.md?pivots=programming-language-csharp&tabs=visual-studio) for instructions on creating a Face client object.
-
 
 ## Create the PersonGroup
 
@@ -70,21 +66,33 @@ This code creates a **PersonGroup** named `"MyPersonGroup"` to save the persons.
 const string personGroupId = "mypersongroupid";
 const string personGroupName = "MyPersonGroup";
 _timeStampQueue.Enqueue(DateTime.UtcNow);
-await faceClient.LargePersonGroup.CreateAsync(personGroupId, personGroupName);
+using (var content = new ByteArrayContent(Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(new Dictionary<string, object> { ["name"] = personGroupName, ["recognitionModel"] = "recognition_04" }))))
+{
+    content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
+    await httpClient.PutAsync($"{ENDPOINT}/face/v1.0/persongroups/{personGroupId}", content);
+}
 ```
 
 ## Create the persons for the PersonGroup
 
 This code creates **Persons** concurrently, and uses `await WaitCallLimitPerSecondAsync()` to avoid exceeding the call rate limit.
 
 ```csharp
-Person[] persons = new Person[PersonCount];
+string?[] persons = new string?[PersonCount];
 Parallel.For(0, PersonCount, async i =>
 {
     await WaitCallLimitPerSecondAsync();
 
     string personName = $"PersonName#{i}";
-    persons[i] = await faceClient.PersonGroupPerson.CreateAsync(personGroupId, personName);
+    using (var content = new ByteArrayContent(Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(new Dictionary<string, object> { ["name"] = personName }))))
+    {
+        content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
+        using (var response = await httpClient.PostAsync($"{ENDPOINT}/face/v1.0/persongroups/{personGroupId}/persons", content))
+        {
+            string contentString = await response.Content.ReadAsStringAsync();
+            persons[i] = (string?)(JsonConvert.DeserializeObject<Dictionary<string, object>>(contentString)?["personId"]);
+        }
+    }
 });
 ```
 
@@ -95,7 +103,6 @@ Faces added to different persons are processed concurrently. Faces added for one
 ```csharp
 Parallel.For(0, PersonCount, async i =>
 {
-    Guid personId = persons[i].PersonId;
     string personImageDir = @"/path/to/person/i/images";
 
     foreach (string imagePath in Directory.GetFiles(personImageDir, "*.jpg"))
@@ -104,7 +111,11 @@ Parallel.For(0, PersonCount, async i =>
 
         using (Stream stream = File.OpenRead(imagePath))
         {
-            await faceClient.PersonGroupPerson.AddFaceFromStreamAsync(personGroupId, personId, stream);
+            using (var content = new StreamContent(stream))
+            {
+                content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
+                await httpClient.PostAsync($"{ENDPOINT}/face/v1.0/persongroups/{personGroupId}/persons/{persons[i]}/persistedfaces?detectionModel=detection_03", content);
+            }
         }
     }
 });

diff --git a/articles/ai-services/computer-vision/how-to/find-similar-faces.md b/articles/ai-services/computer-vision/how-to/find-similar-faces.md
@@ -17,7 +17,7 @@ ms.author: pafarley
 
 [!INCLUDE [Gate notice](../includes/identity-gate-notice.md)]
 
-The [Find Similar](/rest/api/face/face-recognition-operations/find-similar-from-large-face-list) operation does face matching between a target face and a set of candidate faces, finding a smaller set of faces that look similar to the target face. This is useful for doing a face search by image.
+The [Find Similar](/rest/api/face/face-recognition-operations/find-similar) operation does face matching between a target face and a set of candidate faces, finding a smaller set of faces that look similar to the target face. This is useful for doing a face search by image.
 
 This guide demonstrates how to use the Find Similar feature in the different language SDKs. The following sample code assumes you have already authenticated a Face client object. For details on how to do this, follow a [quickstart](../quickstarts-sdk/identity-client-library.md).
 
@@ -39,11 +39,11 @@ You need to detect faces in images before you can compare them. In this guide, t
 
 The following face detection method is optimized for comparison operations. It doesn't extract detailed face attributes, and it uses an optimized recognition model.
 
-[!code-csharp[](~/cognitive-services-quickstart-code/dotnet/Face/FaceQuickstart.cs?name=snippet_face_detect_recognize)]
+[!code-csharp[](~/cognitive-services-quickstart-code/dotnet/Face/FindSimilar.cs?name=snippet_face_detect_recognize)]
 
 The following code uses the above method to get face data from a series of images.
 
-[!code-csharp[](~/cognitive-services-quickstart-code/dotnet/Face/FaceQuickstart.cs?name=snippet_loadfaces)]
+[!code-csharp[](~/cognitive-services-quickstart-code/dotnet/Face/FindSimilar.cs?name=snippet_loadfaces)]
 
 
 #### [REST API](#tab/rest)
@@ -72,11 +72,11 @@ In this guide, the face detected in the *Family1-Dad1.jpg* image should be retur
 
 The following code calls the Find Similar API on the saved list of faces.
 
-[!code-csharp[](~/cognitive-services-quickstart-code/dotnet/Face/FaceQuickstart.cs?name=snippet_find_similar)]
+[!code-csharp[](~/cognitive-services-quickstart-code/dotnet/Face/FindSimilar.cs?name=snippet_find_similar)]
 
 The following code prints the match details to the console:
 
-[!code-csharp[](~/cognitive-services-quickstart-code/dotnet/Face/FaceQuickstart.cs?name=snippet_find_similar_print)]
+[!code-csharp[](~/cognitive-services-quickstart-code/dotnet/Face/FindSimilar.cs?name=snippet_find_similar_print)]
 
 
 #### [REST API](#tab/rest)