FaceClient.VerifyFaceToFaceAsync Method
Definition
Important
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Overloads
| VerifyFaceToFaceAsync(RequestContent, RequestContext) |
[Protocol Method] Verify whether two faces belong to a same person.
|
| VerifyFaceToFaceAsync(Guid, Guid, CancellationToken) |
Verify whether two faces belong to a same person. |
VerifyFaceToFaceAsync(RequestContent, RequestContext)
- Source:
- FaceClient.cs
[Protocol Method] Verify whether two faces belong to a same person.
- This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
- Please try the simpler VerifyFaceToFaceAsync(Guid, Guid, CancellationToken) convenience overload with strongly typed models first.
public virtual System.Threading.Tasks.Task<Azure.Response> VerifyFaceToFaceAsync (Azure.Core.RequestContent content, Azure.RequestContext context = default);abstract member VerifyFaceToFaceAsync : Azure.Core.RequestContent * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Response>
override this.VerifyFaceToFaceAsync : Azure.Core.RequestContent * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Response>Public Overridable Function VerifyFaceToFaceAsync (content As RequestContent, Optional context As RequestContext = Nothing) As Task(Of 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 VerifyFaceToFaceAsync and parse the result.
Uri endpoint = new Uri("<https://my-service.azure.com>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
FaceClient client = new FaceClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
faceId1 = "73f411fe-4f43-4b4b-9cbd-6828d8f4cf9a",
faceId2 = "73f411fe-4f43-4b4b-9cbd-6828d8f4cf9a",
});
Response response = await client.VerifyFaceToFaceAsync(content);
JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("isIdentical").ToString());
Console.WriteLine(result.GetProperty("confidence").ToString());
This sample shows how to call VerifyFaceToFaceAsync with all request content and parse the result.
Uri endpoint = new Uri("<https://my-service.azure.com>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
FaceClient client = new FaceClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
faceId1 = "73f411fe-4f43-4b4b-9cbd-6828d8f4cf9a",
faceId2 = "73f411fe-4f43-4b4b-9cbd-6828d8f4cf9a",
});
Response response = await client.VerifyFaceToFaceAsync(content);
JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("isIdentical").ToString());
Console.WriteLine(result.GetProperty("confidence").ToString());
Applies to
VerifyFaceToFaceAsync(Guid, Guid, CancellationToken)
- Source:
- FaceClient.cs
Verify whether two faces belong to a same person.
public virtual System.Threading.Tasks.Task<Azure.Response<Azure.AI.Vision.Face.FaceVerificationResult>> VerifyFaceToFaceAsync (Guid faceId1, Guid faceId2, System.Threading.CancellationToken cancellationToken = default);abstract member VerifyFaceToFaceAsync : Guid * Guid * System.Threading.CancellationToken -> System.Threading.Tasks.Task<Azure.Response<Azure.AI.Vision.Face.FaceVerificationResult>>
override this.VerifyFaceToFaceAsync : Guid * Guid * System.Threading.CancellationToken -> System.Threading.Tasks.Task<Azure.Response<Azure.AI.Vision.Face.FaceVerificationResult>>Public Overridable Function VerifyFaceToFaceAsync (faceId1 As Guid, faceId2 As Guid, Optional cancellationToken As CancellationToken = Nothing) As Task(Of Response(Of FaceVerificationResult))Parameters
- faceId1
- Guid
The faceId of one face, come from "Detect".
- faceId2
- Guid
The faceId of another face, come from "Detect".
- cancellationToken
- CancellationToken
The cancellation token to use.
Returns
Examples
This sample shows how to call VerifyFaceToFaceAsync.
Uri endpoint = new Uri("<https://my-service.azure.com>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
FaceClient client = new FaceClient(endpoint, credential);
Response<FaceVerificationResult> response = await client.VerifyFaceToFaceAsync(Guid.Parse("73f411fe-4f43-4b4b-9cbd-6828d8f4cf9a"), Guid.Parse("73f411fe-4f43-4b4b-9cbd-6828d8f4cf9a"));
This sample shows how to call VerifyFaceToFaceAsync with all parameters.
Uri endpoint = new Uri("<https://my-service.azure.com>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
FaceClient client = new FaceClient(endpoint, credential);
Response<FaceVerificationResult> response = await client.VerifyFaceToFaceAsync(Guid.Parse("73f411fe-4f43-4b4b-9cbd-6828d8f4cf9a"), Guid.Parse("73f411fe-4f43-4b4b-9cbd-6828d8f4cf9a"));
Remarks
> [!NOTE] > > * > * Higher face image quality means better identification precision. Please consider high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger. > * For the scenarios that are sensitive to accuracy please make your own judgment. > * The 'recognitionModel' associated with the both faces should be the same.
Applies to
Azure SDK for .NET