等待client.face.face.detectwithstreamasync不响应
我想使用microsoft.azure.cognitiveservices.vision.face for holoLens 2进行统一表面识别面部识别
。服务/face/quickstarts/client-libraries？tabs = visual-studio＆amp; pivots = programming-language-csharp“ rel =“ nofollow noreferrer”> face client client tutorial 尝试使用agait faceclient.face.face.detectectwithurlasyncclient.face.detectwithurlasyncc以及等待faceclient.face.face.face.detectwithstreamasync带有本地映像，但是该程序不会超过此代码线（根本没有响应，Unity也没有显示任何响应）。但是，在研究Azure资源指标时，它显示了成功的呼叫和输出数据。 我在Visual Studio中获得的唯一输出是“加载：模量：匿名托管的动态媒体组件”。
这是有问题的代码段：
using (Stream faceimagestream = File.OpenRead(filepath))
{
detectedFaces = await client.Face.DetectWithStreamAsync(faceimagestream, returnFaceAttributes: features);
}
I want to perform face recognition in Unity using Microsoft.Azure.CognitiveServices.Vision.Face for the Hololens 2.
I basically followed this Face Client Tutorial and tried using await faceClient.Face.DetectWithUrlAsync as well as await faceClient.Face.DetectWithStreamAsync with local images, but the program does not get past this line of code (no response at all, Unity also shows no response). However, when investigating the azure resources metrics, it shows successful calls and output data.
The only output I get in Visual Studio is "Loaded: Modul: Anonymously Hosted DynamicMethods Assembly".
This is the problematic code snippet:
using (Stream faceimagestream = File.OpenRead(filepath))
{
detectedFaces = await client.Face.DetectWithStreamAsync(faceimagestream, returnFaceAttributes: features);
}
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解决方案是根据基于任务的异步模式（TAP）而不是
Method.wait（）使用等待，该模式已在教程的示例中使用（显然是不是为团结而建立的）。wait（）调用整个线程，因此Unity无响应。The solution was to use
awaitaccording to the Task-based Asynchronous Pattern (TAP) instead ofmethod.Wait(), which was used in the tutorial's example (which was obviously not built for Unity). TheWait()call blocks the whole thread, therefore Unity does not respond.