FaceDetector class

Performs face detection on images.

Signature:

export declare class FaceDetector extends VisionTaskRunner 

Methods

Method Modifiers Description
createFromOptions(wasmFileset, faceDetectorOptions) static Initializes the Wasm runtime and creates a new face detector from the provided options.
createFromModelBuffer(wasmFileset, modelAssetBuffer) static Initializes the Wasm runtime and creates a new face detector based on the provided model asset buffer.
createFromModelPath(wasmFileset, modelAssetPath) static Initializes the Wasm runtime and creates a new face detector based on the path to the model asset.
setOptions(options) Sets new options for the FaceDetector. 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.
detect(image, imageProcessingOptions) Performs face detection on the provided single image and waits synchronously for the response. Only use this method when the FaceDetector is created with running mode image.
detectForVideo(videoFrame, timestamp, imageProcessingOptions) Performs face detection on the provided video frame and waits synchronously for the response. Only use this method when the FaceDetector is created with running mode video.

FaceDetector.createFromOptions()

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

Signature:

static createFromOptions(wasmFileset: WasmFileset, faceDetectorOptions: FaceDetectorOptions): Promise<FaceDetector>;

Parameters

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

Returns:

Promise<FaceDetector>

FaceDetector.createFromModelBuffer()

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

Signature:

static createFromModelBuffer(wasmFileset: WasmFileset, modelAssetBuffer: Uint8Array | ReadableStreamDefaultReader): Promise<FaceDetector>;

Parameters

Parameter Type Description
wasmFileset WasmFileset A configuration object that provides the location of the Wasm binary and its loader.
modelAssetBuffer Uint8Array | ReadableStreamDefaultReader An array or a stream containing a binary representation of the model.

Returns:

Promise<FaceDetector>

FaceDetector.createFromModelPath()

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

Signature:

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

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<FaceDetector>

FaceDetector.setOptions()

Sets new options for the FaceDetector. 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: FaceDetectorOptions): Promise<void>;

Parameters

Parameter Type Description
options FaceDetectorOptions The options for the FaceDetector.

Returns:

Promise<void>

FaceDetector.detect()

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

Signature:

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

Parameters

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

Returns:

DetectionResult

FaceDetector.detectForVideo()

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

Signature:

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

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.

Returns:

DetectionResult