Topology for FaceRec demo with Microsoft Live Video Analytics

topology.json

{
    "@apiVersion": "1.0",
    "name": "InferencingWithHttpExtension",
    "properties": {
      "description": "Analyzing live video using HTTP Extension to send images to an external inference engine",
      "parameters": [
        {
          "name": "rtspUrl",
          "type": "String",
          "description": "rtsp Url"
        },
        {
          "name": "rtspUserName",
          "type": "String",
          "description": "rtsp source user name.",
          "default": "dummyUserName"
        },
        {
          "name": "rtspPassword",
          "type": "String",
          "description": "rtsp source password.",
          "default": "dummyPassword"
        },
        {
          "name": "inferencingUrl",
          "type": "String",
          "description": "inferencing Url",
          "default": "http://facerec/score"
        },
        {
          "name": "inferencingUserName",
          "type": "String",
          "description": "inferencing endpoint user name.",
          "default": "dummyUserName"
        },
        {
          "name": "inferencingPassword",
          "type": "String",
          "description": "inferencing endpoint password.",
          "default": "dummyPassword"
        },
        {
          "name": "imageEncoding",
          "type": "String",
          "description": "image encoding for frames",
          "default": "bmp"
        },
        {
          "name": "imageScaleMode",
          "type": "String",
          "description": "image scaling mode",
          "default": "preserveAspectRatio"
        },
        {
          "name": "frameWidth",
          "type": "String",
          "description": "Width of the video frame to be received from LVA.",
          "default": "1280"
        },
        {
          "name": "frameHeight",
          "type": "String",
          "description": "Height of the video frame to be received from LVA.",
          "default": "720"
        },
        {
          "name": "frameRate",
          "type": "String",
          "description": "Rate of the frames per second to be received from LVA.",
          "default": "1"
        }
      ],
      "sources": [
        {
          "@type": "#Microsoft.Media.MediaGraphRtspSource",
          "name": "rtspSource",
          "transport": "tcp",
          "endpoint": {
            "@type": "#Microsoft.Media.MediaGraphUnsecuredEndpoint",
            "url": "${rtspUrl}",
            "credentials": {
              "@type": "#Microsoft.Media.MediaGraphUsernamePasswordCredentials",
              "username": "${rtspUserName}",
              "password": "${rtspPassword}"
            }
          }
        }
      ],
      "processors": [
        {
          "@type": "#Microsoft.Media.MediaGraphFrameRateFilterProcessor",
          "name": "frameRateFilter",
          "inputs": [
            {
              "nodeName": "rtspSource"
            }
          ],
          "maximumFps": "${frameRate}"
        },
        {
          "@type": "#Microsoft.Media.MediaGraphHttpExtension",
          "name": "httpExtension",
          "endpoint": {
            "@type": "#Microsoft.Media.MediaGraphUnsecuredEndpoint",
            "url": "${inferencingUrl}",
            "credentials": {
              "@type": "#Microsoft.Media.MediaGraphUsernamePasswordCredentials",
              "username": "${inferencingUserName}",
              "password": "${inferencingPassword}"
            }
          },
          "image": {
            "scale": {
              "mode": "${imageScaleMode}",
              "width": "${frameWidth}",
              "height": "${frameHeight}"
            },
            "format": {
              "@type": "#Microsoft.Media.MediaGraphImageFormatEncoded",
              "encoding": "${imageEncoding}"
            }
          },
          "inputs": [
            {
              "nodeName": "frameRateFilter"
            }
          ]
        }
      ],
      "sinks": [
        {
          "@type": "#Microsoft.Media.MediaGraphIoTHubMessageSink",
          "name": "hubSink",
          "hubOutputName": "inferenceOutput",
          "inputs": [
            {
              "nodeName": "httpExtension"
            }
          ]
        }
      ]
    }
  }