Performs hand landmarks detection on images.
Signature:
export declare class HandLandmarker extends VisionTaskRunner
Extends: VisionTaskRunner
Properties
| Property | Modifiers | Type | Description |
|---|---|---|---|
| HAND_CONNECTIONS | static |
Connection[] | An array containing the pairs of hand landmark indices to be rendered with connections. |
Methods
| Method | Modifiers | Description |
|---|---|---|
| createFromModelBuffer(wasmFileset, modelAssetBuffer) | static |
Initializes the Wasm runtime and creates a new HandLandmarker based on the provided model asset buffer. |
| createFromModelPath(wasmFileset, modelAssetPath) | static |
Initializes the Wasm runtime and creates a new HandLandmarker based on the path to the model asset. |
| createFromOptions(wasmFileset, handLandmarkerOptions) | static |
Initializes the Wasm runtime and creates a new HandLandmarker from the provided options. |
| detect(image, imageProcessingOptions) | 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. |
|
| detectForVideo(videoFrame, timestamp, imageProcessingOptions) | 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. |
|
| setOptions(options) | 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:
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:
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>