ImageEmbedder class

Performs embedding extraction on images.

Signature:

  export 
  
 declare 
  
 class 
  
 ImageEmbedder 
  
 extends 
  
 VisionTaskRunner 
  
 

Extends: VisionTaskRunner

Methods

Method Modifiers Description
static Utility function to compute cosine similarity[1] between two Embedding objects.[1]: https://en.wikipedia.org/wiki/Cosine_similarity
static Initializes the Wasm runtime and creates a new image embedder based on the provided model asset buffer.
static Initializes the Wasm runtime and creates a new image embedder based on the path to the model asset.
static Initializes the Wasm runtime and creates a new image embedder from the provided options.
Performs embedding extraction on the provided single image and waits synchronously for the response. Only use this method when the ImageEmbedder is created with running mode image .
Performs embedding extraction on the provided video frame and waits synchronously for the response. Only use this method when the ImageEmbedder is created with running mode video .
Sets new options for the image embedder.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 .

ImageEmbedder.cosineSimilarity()

Utility function to compute cosine similarity[1] between two Embedding objects.

[1]: https://en.wikipedia.org/wiki/Cosine_similarity

Signature:

  static 
  
 cosineSimilarity 
 ( 
 u 
 : 
  
 Embedding 
 , 
  
 v 
 : 
  
 Embedding 
 ) 
 : 
  
 number 
 ; 
 

Parameters

Parameter Type Description
u
Embedding
v
Embedding

Returns:

number

Exceptions

if the embeddings are of different types(float vs. quantized), have different sizes, or have an L2-norm of 0.

ImageEmbedder.createFromModelBuffer()

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

Signature:

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

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 TFLite model.

Returns:

Promise< ImageEmbedder >

ImageEmbedder.createFromModelPath()

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

Signature:

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

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 TFLite model.

Returns:

Promise< ImageEmbedder >

ImageEmbedder.createFromOptions()

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

Signature:

  static 
  
 createFromOptions 
 ( 
 wasmFileset 
 : 
  
 WasmFileset 
 , 
  
 imageEmbedderOptions 
 : 
  
 ImageEmbedderOptions 
 ) 
 : 
  
 Promise<ImageEmbedder> 
 ; 
 

Parameters

Parameter Type Description
wasmFileset
WasmFileset A configuration object that provides the location of the Wasm binary and its loader.
imageEmbedderOptions
ImageEmbedderOptions The options for the image embedder. Note that either a path to the TFLite model or the model itself needs to be provided (via baseOptions ).

Returns:

Promise< ImageEmbedder >

ImageEmbedder.embed()

Performs embedding extraction on the provided single image and waits synchronously for the response. Only use this method when the ImageEmbedder is created with running mode image .

Signature:

  embed 
 ( 
 image 
 : 
  
 ImageSource 
 , 
  
 imageProcessingOptions? 
 : 
  
 ImageProcessingOptions 
 ) 
 : 
  
 ImageEmbedderResult 
 ; 
 

Parameters

Parameter Type Description
image
ImageSource The image to process.
imageProcessingOptions
ImageProcessingOptions the ImageProcessingOptions specifying how to process the input image before running inference. The classification result of the image

Returns:

ImageEmbedderResult

ImageEmbedder.embedForVideo()

Performs embedding extraction on the provided video frame and waits synchronously for the response. Only use this method when the ImageEmbedder is created with running mode video .

Signature:

  embedForVideo 
 ( 
 imageFrame 
 : 
  
 ImageSource 
 , 
  
 timestamp 
 : 
  
 number 
 , 
  
 imageProcessingOptions? 
 : 
  
 ImageProcessingOptions 
 ) 
 : 
  
 ImageEmbedderResult 
 ; 
 

Parameters

Parameter Type Description
imageFrame
ImageSource The image 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 classification result of the image

Returns:

ImageEmbedderResult

ImageEmbedder.setOptions()

Sets new options for the image embedder.

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 
 : 
  
 ImageEmbedderOptions 
 ) 
 : 
  
 Promise<void> 
 ; 
 

Parameters

Parameter Type Description
options
ImageEmbedderOptions The options for the image embedder.

Returns:

Promise<void>

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