HandLandmarker class

Performs hand landmarks detection on images.

Signature:

  export 
  
 declare 
  
 class 
  
 HandLandmarker 
  
 extends 
  
 VisionTaskRunner 
  
 

Extends: VisionTaskRunner

Properties

Property Modifiers Type Description
static Connection[] An array containing the pairs of hand landmark indices to be rendered with connections.

Methods

Method Modifiers Description
static Initializes the Wasm runtime and creates a new HandLandmarker based on the provided model asset buffer.
static Initializes the Wasm runtime and creates a new HandLandmarker based on the path to the model asset.
static Initializes the Wasm runtime and creates a new HandLandmarker from the provided options.
Performs hand landmarks detection on the provided single image and waits synchronously for the response. Only use this method when the HandLandmarker is created with running mode image .
Performs hand landmarks detection on the provided video frame and waits synchronously for the response. Only use this method when the HandLandmarker is created with running mode video .
Sets new options for this HandLandmarker .Calling setOptions() with a subset of options only affects those options. You can reset an option back to its default value by explicitly setting it to undefined .

HandLandmarker.HAND_CONNECTIONS

An array containing the pairs of hand landmark indices to be rendered with connections.

Signature:

  static 
  
 HAND_CONNECTIONS 
 : 
  
 Connection 
 []; 
 

HandLandmarker.createFromModelBuffer()

Initializes the Wasm runtime and creates a new HandLandmarker based on the provided model asset buffer.

Signature:

  static 
  
 createFromModelBuffer 
 ( 
 wasmFileset 
 : 
  
 WasmFileset 
 , 
  
 modelAssetBuffer 
 : 
  
 Uint8Array 
 ) 
 : 
  
 Promise<HandLandmarker> 
 ; 
 

Parameters

Parameter Type Description
wasmFileset
WasmFileset A configuration object that provides the location of the Wasm binary and its loader.
modelAssetBuffer
Uint8Array A binary representation of the model.

Returns:

Promise< HandLandmarker >

HandLandmarker.createFromModelPath()

Initializes the Wasm runtime and creates a new HandLandmarker based on the path to the model asset.

Signature:

  static 
  
 createFromModelPath 
 ( 
 wasmFileset 
 : 
  
 WasmFileset 
 , 
  
 modelAssetPath 
 : 
  
 string 
 ) 
 : 
  
 Promise<HandLandmarker> 
 ; 
 

Parameters

Parameter Type Description
wasmFileset
WasmFileset A configuration object that provides the location of the Wasm binary and its loader.
modelAssetPath
string The path to the model asset.

Returns:

Promise< HandLandmarker >

HandLandmarker.createFromOptions()

Initializes the Wasm runtime and creates a new HandLandmarker from the provided options.

Signature:

  static 
  
 createFromOptions 
 ( 
 wasmFileset 
 : 
  
 WasmFileset 
 , 
  
 handLandmarkerOptions 
 : 
  
 HandLandmarkerOptions 
 ) 
 : 
  
 Promise<HandLandmarker> 
 ; 
 

Parameters

Parameter Type Description
wasmFileset
WasmFileset A configuration object that provides the location of the Wasm binary and its loader.
handLandmarkerOptions
HandLandmarkerOptions The options for the HandLandmarker. Note that either a path to the model asset or a model buffer needs to be provided (via baseOptions ).

Returns:

Promise< HandLandmarker >

HandLandmarker.detect()

Performs hand landmarks detection on the provided single image and waits synchronously for the response. Only use this method when the HandLandmarker is created with running mode image .

Signature:

  detect 
 ( 
 image 
 : 
  
 ImageSource 
 , 
  
 imageProcessingOptions? 
 : 
  
 ImageProcessingOptions 
 ) 
 : 
  
 HandLandmarkerResult 
 ; 
 

Parameters

Parameter Type Description
image
ImageSource An image to process.
imageProcessingOptions
ImageProcessingOptions the ImageProcessingOptions specifying how to process the input image before running inference. The detected hand landmarks.

Returns:

HandLandmarkerResult

HandLandmarker.detectForVideo()

Performs hand landmarks detection on the provided video frame and waits synchronously for the response. Only use this method when the HandLandmarker is created with running mode video .

Signature:

  detectForVideo 
 ( 
 videoFrame 
 : 
  
 ImageSource 
 , 
  
 timestamp 
 : 
  
 number 
 , 
  
 imageProcessingOptions? 
 : 
  
 ImageProcessingOptions 
 ) 
 : 
  
 HandLandmarkerResult 
 ; 
 

Parameters

Parameter Type Description
videoFrame
ImageSource A video frame to process.
timestamp
number The timestamp of the current frame, in ms.
imageProcessingOptions
ImageProcessingOptions the ImageProcessingOptions specifying how to process the input image before running inference. The detected hand landmarks.

Returns:

HandLandmarkerResult

HandLandmarker.setOptions()

Sets new options for this HandLandmarker .

Calling setOptions() with a subset of options only affects those options. You can reset an option back to its default value by explicitly setting it to undefined .

Signature:

  setOptions 
 ( 
 options 
 : 
  
 HandLandmarkerOptions 
 ) 
 : 
  
 Promise<void> 
 ; 
 

Parameters

Parameter Type Description
options
HandLandmarkerOptions The options for the hand landmarker.

Returns:

Promise<void>

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