FaceClient.Group Method
Definition
Important
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Overloads
Group(RequestContent, RequestContext) |
[Protocol Method] Divide candidate faces into groups based on face similarity.
|
Group(IEnumerable<Guid>, CancellationToken) |
Divide candidate faces into groups based on face similarity. |
Group(RequestContent, RequestContext)
- Source:
- FaceClient.cs
[Protocol Method] Divide candidate faces into groups based on face similarity.
- This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
- Please try the simpler Group(IEnumerable<Guid>, CancellationToken) convenience overload with strongly typed models first.
public virtual Azure.Response Group (Azure.Core.RequestContent content, Azure.RequestContext context = default);
abstract member Group : Azure.Core.RequestContent * Azure.RequestContext -> Azure.Response
override this.Group : Azure.Core.RequestContent * Azure.RequestContext -> Azure.Response
Public Overridable Function Group (content As RequestContent, Optional context As RequestContext = Nothing) As Response
Parameters
- content
- RequestContent
The content to send as the body of the request.
- context
- RequestContext
The request context, which can override default behaviors of the client pipeline on a per-call basis.
Returns
The response returned from the service.
Exceptions
content
is null.
Service returned a non-success status code.
Examples
This sample shows how to call Group and parse the result.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
FaceClient client = new FaceClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
faceIds = new object[]
{
"c5c24a82-6845-4031-9d5d-978df9175426",
"015839fb-fbd9-4f79-ace9-7675fc2f1dd9",
"65d083d4-9447-47d1-af30-b626144bf0fb",
"fce92aed-d578-4d2e-8114-068f8af4492e",
"30ea1073-cc9e-4652-b1e3-d08fb7b95315",
"be386ab3-af91-4104-9e6d-4dae4c9fddb7",
"fbd2a038-dbff-452c-8e79-2ee81b1aa84e",
"b64d5e15-8257-4af2-b20a-5a750f8940e7"
},
});
Response response = client.Group(content);
JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("groups")[0][0].ToString());
Console.WriteLine(result.GetProperty("messyGroup")[0].ToString());
Applies to
Group(IEnumerable<Guid>, CancellationToken)
- Source:
- FaceClient.cs
Divide candidate faces into groups based on face similarity.
public virtual Azure.Response<Azure.AI.Vision.Face.FaceGroupingResult> Group (System.Collections.Generic.IEnumerable<Guid> faceIds, System.Threading.CancellationToken cancellationToken = default);
abstract member Group : seq<Guid> * System.Threading.CancellationToken -> Azure.Response<Azure.AI.Vision.Face.FaceGroupingResult>
override this.Group : seq<Guid> * System.Threading.CancellationToken -> Azure.Response<Azure.AI.Vision.Face.FaceGroupingResult>
Public Overridable Function Group (faceIds As IEnumerable(Of Guid), Optional cancellationToken As CancellationToken = Nothing) As Response(Of FaceGroupingResult)
Parameters
- faceIds
- IEnumerable<Guid>
Array of candidate faceIds created by "Detect". The maximum is 1000 faces.
- cancellationToken
- CancellationToken
The cancellation token to use.
Returns
Exceptions
faceIds
is null.
Examples
This sample shows how to call Group.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
FaceClient client = new FaceClient(endpoint, credential);
Response<FaceGroupingResult> response = client.Group(new Guid[] { Guid.Parse("c5c24a82-6845-4031-9d5d-978df9175426"), Guid.Parse("015839fb-fbd9-4f79-ace9-7675fc2f1dd9"), Guid.Parse("65d083d4-9447-47d1-af30-b626144bf0fb"), Guid.Parse("fce92aed-d578-4d2e-8114-068f8af4492e"), Guid.Parse("30ea1073-cc9e-4652-b1e3-d08fb7b95315"), Guid.Parse("be386ab3-af91-4104-9e6d-4dae4c9fddb7"), Guid.Parse("fbd2a038-dbff-452c-8e79-2ee81b1aa84e"), Guid.Parse("b64d5e15-8257-4af2-b20a-5a750f8940e7") });
Remarks
Please refer to https://learn.microsoft.com/rest/api/face/face-recognition-operations/group for more details.