Microsoft Azure人脸API-人脸检测(无结果)

Microsoft Azure人脸API-人脸检测(无结果),azure,microsoft-cognitive,face-api,Azure,Microsoft Cognitive,Face Api,在使用FaceAPIv1.0的FaceDetect服务时,我没有遇到错误,但也没有结果。我正在研究c。 API密钥有效,并在其他代码上显示结果 感谢您的帮助。提前谢谢 Code is as follows: using System; using System.Net.Http.Headers; using System.Text; using System.Net.Http; using System.Web; namespace CSHttpClientSample { static c

在使用FaceAPIv1.0的FaceDetect服务时,我没有遇到错误,但也没有结果。我正在研究c。 API密钥有效,并在其他代码上显示结果

感谢您的帮助。提前谢谢

Code is as follows:

using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;

namespace CSHttpClientSample
{
static class Program
{
static void Main()
{
MakeRequest();
Console.WriteLine("Hit ENTER to exit...");
Console.ReadLine();
}

static async void MakeRequest()
{
var client = new HttpClient();
var queryString = HttpUtility.ParseQueryString(string.Empty);

// Request headers
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "9b0bd0ce75d040769834af2339b93e1d");

// Request parameters
queryString["returnFaceId"] = "true";
queryString["returnFaceLandmarks"] = "false";
queryString["returnFaceAttributes"] = "Age";
//var uri = "https://westcentralus.api.cognitive.microsoft.com/face/v1.0/detect" + queryString;
var uri = "https://eastasia.api.cognitive.microsoft.com/face/v1.0/detect" + queryString;

HttpResponseMessage response;

// Request body
byte[] byteData = Encoding.UTF8.GetBytes("https://i.kinja-img.com/gawker-media/image/upload/s--0MPvwvU0--/c_scale,f_auto,fl_progressive,q_80,w...");

using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/json");

response = await client.PostAsync(uri, content);
}

}
}
}

正如evilsnobu提到的,如果您想要得到响应,您需要返回MakeRequest结果

如果要使用web图像资源,需要将其url添加为帖子正文

请尝试使用以下代码以获得预期结果

using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
using System.Web;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;

 static void Main(string[] args)
 {
   var response = MakeRequest().Result;
   var content = response.Content.ReadAsStringAsync().Result
 }

 static async Task<HttpResponseMessage> MakeRequest()
  {
            var client = new HttpClient();
            var queryString = HttpUtility.ParseQueryString(string.Empty);

            // Request headers
            client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "your key");

            // Request parameters
            queryString["returnFaceId"] = "true";
            queryString["returnFaceLandmarks"] = "false";
            queryString["returnFaceAttributes"] = "Age";
            var uri = "https://eastasia.api.cognitive.microsoft.com/face/v1.0/detect?" + queryString; //add ? before query string

            var data = new JObject
            {
                ["url"] =
                    "https://docs.microsoft.com/en-us/azure/cognitive-services/face/images/facefindsimilar.queryface.jpg"
            };
            var json = JsonConvert.SerializeObject(data);
            var stringContent = new StringContent(json, Encoding.UTF8, "application/json");
            var response = await client.PostAsync(uri, stringContent);

            return response;

        }
FaceID是一个数组,请尝试使用以下代码:

 var jArray = new JArray
   {
        "cd920c85-d05e-46e2-bb9e-2b0f67024ba2",
        "56001f6e-6c48-4a9d-800d-3cc693001197",
        "2ae34ecc-eb17-4260-a385-0db699ee17c4"
   };

 var data = new JObject
        {
           ["faceIds"] = jArray

        };
 var json = JsonConvert.SerializeObject(data);

结果显示了什么?另外,不要在论坛中发布订阅密钥,只需替换为一条示例文本,您不需要等待MakeRequest呼叫。更糟糕的是,您没有从MakeRequest返回任何内容。不确定您期望的是什么。我期望代码能够检测请求正文中提供的图像中的人脸。非常感谢。目前尚未取得任何成果。我收到一个输出“程序”[5164]july26.exe“已退出,代码为0 0x0”。@AfshanAnwarAli。您可以直接使用我的代码进行测试,请在代码中替换Ocp Apim订阅密钥值。我使用的代码与我的“密钥”和项目名称“namespace July26”完全一致。其次,您的端点是?而我的呢?没有发现。这有关系吗?@AfshanAnwarAli。根据我的测试,需要检测
 var jArray = new JArray
   {
        "cd920c85-d05e-46e2-bb9e-2b0f67024ba2",
        "56001f6e-6c48-4a9d-800d-3cc693001197",
        "2ae34ecc-eb17-4260-a385-0db699ee17c4"
   };

 var data = new JObject
        {
           ["faceIds"] = jArray

        };
 var json = JsonConvert.SerializeObject(data);