Module aienable

newClient

• newClient(name: string): AIEnableClient

• Client api for AIEnable client.

  example

  import * as aienable from 'aienable';
  
  var input: Dict = {
                   "images":
                       [{"type": "url",
                            "image": "https://xxx/xxx.jpg"
                         }, ]
                      }
    // 车牌识别
   let client1 = aienable.newClient("license_plate_recognition")
   return client1.recognizeLicensePlate(input)
  
   // 车辆检测
   let client2 = aienable.newClient("vehicle_detection")
   return client2.vehicleDetection(input)
  
   // 安全帽检测
   let client3 = aienable.newClient("helmet_detection")
   return client3.helmetDetection(input)
  
   // 人脸检测
   let client4 = aienable.newClient("face_detection")
   return client4.faceDetection(input)
  
   // 静默活体检测
   let client7 = aienable.newClient("silent_liveness_detection")
   return client7.silentLivenessDetection(input)
  
  var input: Dict = {
                   "images":
                       [{"type": "url",
                            "image": "https://xxx/xxx.jpg"
                         },
                         {"type": "url",
                            "image": "https://xxx/xxx.jpg"
                         }]
                      }
   // 人证比对
   let clien5 = aienable.newClient("face_and_card_comparison")
   return client5.faceAndCardComparison(input)
  
   // 人脸比对
   let client6 = aienable.newClient("face_and_face_comparison")
   return client6.faceAndFaceComparison(input)
  
  var input: Dict = {
                   "videos":
                       [{"type": "url",
                            "video": "https://xxx/xxx.mp4"
                         }]
                      }
   // 动态活体检测
   let client8 = aienable.newClient("dynamic_liveness_detection")
   return client8.dynamicLivenessDetection(input)
  
  
  var name = "recommendationTest"
  var dataInputs = {
                "USER_IDS": ["000379cdec625522490c315e70c7a9fb"],
                "N": 10
            }
   // 预测服务
  let client9 = aienable.newClient("prediction_services")
  return client9.predict(name, dataInputs)
  
  
  var name = "purchase_intension"
  var dataInputs = {
                "ai_kit__AdministrativeDuration__CST": 0,
                "ai_kit__Administrative__CST": 0,
                "ai_kit__BounceRates__CST": 0,
                "ai_kit__Browser__CST": 9,
                "ai_kit__InformationalDuration__CST": 0,
                "ai_kit__Informational__CST": 0,
                "ai_kit__Month__CST": "Nov",
                "ai_kit__OperatingSystems__CST": 1,
                "ai_kit__PageValues__CST": 0,
                "ai_kit__ProductRelatedDuration__CST": 242.75,
                "ai_kit__ProductRelated__CST": 16,
                "ai_kit__Region__CST": 2,
                "ai_kit__Revenue__CST": "FALSE",
                "ai_kit__SpecialDay__CST": 0,
                "ai_kit__TrafficType__CST": 11,
                "ai_kit__VisitorType__CST": "Returning_Visitor",
                "ai_kit__Weekend__CST": true,
                "ai_kit__ExitRates__CST": 0.004910714
            }
   // 推荐服务
   let client10 = aienable.newClient("recommendation_services")
   return client10.recommend(name, dataInputs)
  

  Parameters

  • name: string

    connector instance name

  Returns AIEnableClient