{
  "NeuralNets" :
  {
    // How frequently to print or log events about timing
    "ProfilingPrintFrequency_ms"     : 10000,
    "ProfilingEventLogFrequency_ms"  : 30000,

    //
    // Model definitions:
    //
    "Models" : [
      {
        "modelType"           : "TFLite",
        "networkName"         : "quantized",
        "graphFile"           : "mobilenet_v1_1.0_224_quant.tflite",
        "memoryMapGraph"      : 0,
        "labelsFile"          : "mobilenet_labels.txt",
        "architecture"        : "custom",
        "inputLayerName"      : "input",
        "outputLayerNames"    : "MobilenetV1/Predictions/Reshape_1",
        "outputType"          : "classification",
        "useFloatInput"       : 0,
        "useGrayscale"        : 0,
        "inputWidth"          : 224,
        "inputHeight"         : 224,
        "inputScale"          : 127.5, // When input is float, data is first divided by scale and then shifted
        "inputShift"          : -1,    // I.e.:  float_input = data / inputScale + inputShift
        "minScore"            : 0.1,
        "verbose"             : 1,
        "pollPeriod_ms"       : 10,
        "timeoutDuration_sec" : 10.0,
        "benchmarkRuns"       : 0
      },
      {
        "modelType"           : "TFLite",
        "networkName"         : "non-quantized",
        "graphFile"           : "mobilenet_v1_0.5_128.tflite",
        "memoryMapGraph"      : 0,
        "labelsFile"          : "mobilenet_labels.txt",
        "architecture"        : "custom",
        "inputLayerName"      : "input",
        "outputLayerNames"    : "MobilenetV1/Predictions/Reshape_1",
        "outputType"          : "classification",
        "useFloatInput"       : 1,
        "useGrayscale"        : 0,
        "inputWidth"          : 128,
        "inputHeight"         : 128,
        "inputScale"          : 127.5, // When input is float, data is first divided by scale and then shifted
        "inputShift"          : -1,    // I.e.:  float_input = data / inputScale + inputShift
        "minScore"            : 0.1,
        "verbose"             : 1,
        "pollPeriod_ms"       : 10,
        "timeoutDuration_sec" : 10.0,
        "benchmarkRuns"       : 0
      }
    ]
  }
}