动作活体检测

功能介绍

动作活体检测是通过判断视频中的人物动作与传入动作列表是否一致来识别视频中人物是否为活体，进行实人检测。如果有多张人脸出现，则选取最大的人脸进行判定。新老用户均可用该接口。

前提条件：

请确保您已开通人脸识别服务，具体操作方法请参见申请服务。

约束限制：

• 目前支持检测视频文件，或视频的Base64编码，不支持直接检测视频流，需要用户客户端自己获取视频流并保存成文件，然后调用活体检测接口。
• 视频文件大小不超过8MB，建议客户端压缩到200KB~2MB。
• application/json请求的body中，请使用标准Json格式。
• Base64编码中请勿使用回车换行。
• 系统不保存用户视频。
• 具体的约束限制信息请参见约束与限制章节。

建议：

• 建议帧率10fps～30fps。
• 视频文件的大小建议客户端压缩到200KB~2MB。

调试

您可以在API Explorer中调试该接口，支持自动认证鉴权。API Explorer可以自动生成SDK代码示例，并提供SDK代码示例调试功能。

URI

POST /v1/{project_id}/live-detect

请求参数

响应参数

状态码：200

状态码： 400

请求示例

X-Auth-Token值获取方法请参见快速入门。

• 通过传入视频的BASE64编码，判断视频中的人物动作与传入动作列表是否一致来识别视频中人物是否为活体

  POST https://{endpoint}/v1/{project_id}/live-detect
   Request Header: 
   Content-Type: application/json 
   X-Auth-Token: MIINRwYJKoZIhvcNAQcCoIINODCCDTQCAQExDT... 
    
   Request Body: 
   { 
      "video_base64":"/9j/4AAQSkZJRgABAgEASABIAAD...", 
      "actions":"1,3,2",
      "action_time":"1000-3000,4000-7000,9000-12000",
      "nod_threshold": 10
   }

• 通过传入视频文件，判断视频中的人物动作与传入动作列表是否一致来识别视频中人物是否为活体

  POST https://{endpoint}/v1/{project_id}/live-detect
   Request Header: 
   X-Auth-Token: MIINRwYJKoZIhvcNAQcCoIINODCCDTQCAQExDT... 
    
   Request Body: 
   video_file: File(视频文件) 
   actions: 1,3,2
   action_time: 1000-3000,4000-7000,9000-12000
   nod_threshold: 10

• 通过传入视频URL，判断视频中的人物动作与传入动作列表是否一致来识别视频中人物是否为活体

  POST https://{endpoint}/v1/{project_id}/live-detect
   Request Header: 
   Content-Type: application/json 
   X-Auth-Token: MIINRwYJKoZIhvcNAQcCoIINODCCDTQCAQExDT... 
    
   Request Body: 
   { 
      "video_url":"https://<bucket-name>.<endpoint>/<object-name>", 
      "actions":"1,3,2",
      "action_time":"1000-3000,4000-7000,9000-12000",
      "nod_threshold": 10
   }

• 使用Python3语言读取视频文件，判断视频中的人物动作与传入动作列表是否一致来识别视频中人物是否为活体

  # -*- coding:utf-8 -*-
  
  import requests
  import base64
  
  endpoint = '开通服务所在region的人脸识别服务域名'
  project_id = '开通服务所在region的用户项目ID'
  token = "用户获取得到的实际token值"
  headers = {'Content-Type': 'application/json', 'X-Auth-Token': token}
  
  url = "https://{endpoint}/v1/{project_id}/live-detect".format(endpoint=endpoint, project_id=project_id)
  video_file_path = r'./data/face-video-demo.mp4'
  with open(video_file_path, "rb") as bin_data:
      video_data = bin_data.read()
  video_base64 = base64.b64encode(video_data).("utf-8") 
  body = {"video_base64": video_base64, "actions": "1,2,3", "action_time": "1000-3000,4000-7000,9000-12000"}
  response = requests.post(url, headers=headers, json=body, verify=False)
  print(response.text)

• 使用Java语言读取视频base64编码，判断视频中的人物动作与传入动作列表是否一致来识别视频中人物是否为活体

  import com.huawei.trace.http.apache.httpclient.TraceApacheHttpClientBuilder;
  import org.apache.http.HttpEntity;
  import org.apache.http.HttpHeaders;
  import org.apache.http.HttpResponse;
  import org.apache.http.client.config.RequestConfig;
  import org.apache.http.client.methods.HttpPost;
  import org.apache.http.config.Registry;
  import org.apache.http.config.RegistryBuilder;
  import org.apache.http.conn.socket.ConnectionSocketFactory;
  import org.apache.http.conn.socket.PlainConnectionSocketFactory;
  import org.apache.http.conn.ssl.NoopHostnameVerifier;
  import org.apache.http.conn.ssl.SSLConnectionSocketFactory;
  import org.apache.http.entity.ContentType;
  import org.apache.http.entity.StringEntity;
  import org.apache.http.impl.client.CloseableHttpClient;
  import org.apache.http.impl.client.HttpClientBuilder;
  import org.apache.http.impl.conn.PoolingHttpClientConnectionManager;
  import org.apache.http.ssl.SSLContextBuilder;
  import org.apache.http.ssl.TrustStrategy;
  import org.apache.http.util.EntityUtils;
  import java.io.IOException;
  import java.nio.charset.StandardCharsets;
  import java.security.KeyManagementException;
  import java.security.KeyStoreException;
  import java.security.NoSuchAlgorithmException;
  import java.security.cert.CertificateException;
  import java.security.cert.X509Certificate;
  import java.util.concurrent.TimeUnit;
  import javax.net.ssl.HostnameVerifier;
  import javax.net.ssl.SSLContext;
  
  /**
   * 此demo仅供测试使用，强烈建议使用SDK
   * 使用前需已配置HttpClient jar包。jar包可通过下载SDK获取
   */
  
  public class LiveDetect {
      protected static HttpClientBuilder buildClient(HttpClientBuilder httpClientBuilder) {
          SSLContext sslContext = null;
          try {
              sslContext = new SSLContextBuilder().loadTrustMaterial(null, new TrustStrategy() {
                  public boolean isTrusted(X509Certificate[] arg0, String arg1) throws CertificateException {
                      return true;
                  }
              }).build();
          } catch (NoSuchAlgorithmException e) {
              throw new RuntimeException(e.getMessage());
          } catch (KeyManagementException e) {
              throw new RuntimeException(e.getMessage());
          } catch (KeyStoreException e) {
              throw new RuntimeException(e.getMessage());
          }
          httpClientBuilder.setSSLContext(sslContext);
          httpClientBuilder.setConnectionTimeToLive(30, TimeUnit.SECONDS);
          HostnameVerifier hostnameVerifier = NoopHostnameVerifier.INSTANCE;
          SSLConnectionSocketFactory sslSocketFactory = new SSLConnectionSocketFactory(sslContext, hostnameVerifier);
          Registry<ConnectionSocketFactory> socketFactoryRegistry
              = RegistryBuilder.<ConnectionSocketFactory>create().register("http",
              PlainConnectionSocketFactory.getSocketFactory()).register("https", sslSocketFactory).build();
          PoolingHttpClientConnectionManager connMgr = new PoolingHttpClientConnectionManager(socketFactoryRegistry);
          connMgr.setMaxTotal(200);
          connMgr.setDefaultMaxPerRoute(100);
          httpClientBuilder.setConnectionManager(connMgr);
          return httpClientBuilder;
      }
  
      public static String doPost(String url, String jsonStr, String token, CloseableHttpClient client) {
          HttpPost post = new HttpPost(url);
          StringEntity entity = new StringEntity(jsonStr, ContentType.APPLICATION_JSON);
          post.setEntity(entity);
          post.setHeader(HttpHeaders.CONTENT_TYPE, "application/json");
          //time unit is milliseconds
          RequestConfig requestConfig = RequestConfig.custom().setConnectTimeout(3000).setSocketTimeout(3000).build();
          post.setConfig(requestConfig);
          post.setHeader("X-Auth-Token", token);
          HttpResponse response = null;
          String result = "";
          try {
              response = client.execute(post);
              HttpEntity responseBody = response.getEntity();
              if (responseBody == null) {
                  System.out.println("the response body is null.");
                  return result;
              } else {
                  byte[] byteStream = EntityUtils.toByteArray(responseBody);
                  System.arraycopy(byteStream, 0, new byte[byteStream.length], 0, byteStream.length);
                  result = new String(byteStream, StandardCharsets.UTF_8);
              }
          } catch (IOException e) {
              e.printStackTrace();
          }
          return result;
      }
  
      public static void main(String[] args) {
          CloseableHttpClient client = buildClient(TraceApacheHttpClientBuilder.create()).build();
          // endpoint和project_id需要替换成实际信息。
          String url = "https://{{endpoint}}/v1/{{project_id}}/live-detect";
          String jsonStr = "{ \"video_base64\": \"/9j/4AAQSkZJRgABAgEASABIAAD...\", \"actions\": \"1,2,3\", \"action_time\": \"1000-3000,4000-7000,9000-12000\"}";
          String token = "对应region的token";
          String result = doPost(url, jsonStr, token, client);
          System.out.println(result);
      }
  }

响应样例

状态码：200

状态码

状态码请参见状态码。

错误码

错误码请参见错误码。