Packages

  • package root
    Definition Classes
    root
  • package com
    Definition Classes
    root
  • package nvidia
    Definition Classes
    com
  • package mdx

    this is the base transform for mdx analytics SDK, the transform comprise of

    this is the base transform for mdx analytics SDK, the transform comprise of


    core : mdx streaming core classes
    xapp : comprise of sample applications

    Definition Classes
    nvidia
  • package core

    this is the core transform for mdx SDK, contains transform and classes for the core mdx functionality

    this is the core transform for mdx SDK, contains transform and classes for the core mdx functionality

    Definition Classes
    mdx
  • package milvus
    Definition Classes
    core
  • package schema

    please see nv.schema , which is used @since v1.0

    please see nv.schema , which is used @since v1.0

    this is kept for backward compatibility and is used for json based pipeline

    the key classes representing the json schema

    Calibration
    Message
    Frame and
    Behavior

    There are two schema for sending messages perception layer to Message broker (kafka or IOT hub), The two schema are represented by Message and Frame. Frame is concise in terms amount of bytes sent over the network

    User can configure to use either of the Messaging schema

    jBehavior is specific to the domain we are dealing with, represent object movement & state over period of times

    Definition Classes
    core
  • package stream
    Definition Classes
    core
  • package transform

    transform used for any message transformation, image coordinates to real world coordinates

    transform used for any message transformation, image coordinates to real world coordinates

    Definition Classes
    core
  • package triton
    Definition Classes
    core
  • InferenceClient
  • package util
    Definition Classes
    core

package triton

Ordering
  1. Alphabetic
Visibility
  1. Public
  2. All

Value Members

  1. object InferenceClient

    Interface to access triton inference server, using a gRPC client, example usage below

    Interface to access triton inference server, using a gRPC client, example usage below

    InferenceClient.config = Util.readConfig("config.json")
val model = "a-sensor-id" // models have same name as sensorId


//check channel ready
InferenceClient.channelReady(false)

//server api
InferenceClient.serverLive()
InferenceClient.serverReady()
InferenceClient.serverMetadata()

//model api
InferenceClient.modelReady(model)
InferenceClient.modelMetadata(model)
InferenceClient.modelConfig(model)

//linear interpolate
val tensor = (1 to 40).map(x => Array(x.toDouble, 100 + x.toDouble)).toArray
val inter = InferenceClient.linearInterpolate(tensor, 100)

//inference
val jsonArray : Array[String]  = provide Behavior json array
InferenceClient.inferWithJson(model, jsonArray, config)

//

Ungrouped