MediaPipeTasksVision Framework Reference | Google AI Edge


                    
                    
                    handPalmConnections

The array of connections between the landmarks in the palm.

Declaration

Swift

class var handPalmConnections: [Connection] { get }


                    
                    
                    handThumbConnections

The array of connections between the landmarks in the thumb.

Declaration

Swift

class var handThumbConnections: [Connection] { get }


                    
                    
                    handIndexFingerConnections

The array of connections between the landmarks in the index finger.

Declaration

Swift

class var handIndexFingerConnections: [Connection] { get }


                    
                    
                    handMiddleFingerConnections

The array of connections between the landmarks in the middle finger.

Declaration

Swift

class var handMiddleFingerConnections: [Connection] { get }


                    
                    
                    handRingFingerConnections

The array of connections between the landmarks in the ring finger.

Declaration

Swift

class var handRingFingerConnections: [Connection] { get }


                    
                    
                    handPinkyConnections

The array of connections between the landmarks in the pinky.

Declaration

Swift

class var handPinkyConnections: [Connection] { get }


                    
                    
                    handConnections

The array of connections between all the landmarks in the hand.

Declaration

Swift

class var handConnections: [Connection] { get }


                    
                    
                    init(modelPath:)

Creates a new instance of HandLandmarker from an absolute path to a model asset bundle stored locally on the device and the default HandLandmarkerOptions.

Declaration

Swift

convenience init(modelPath: String) throws

Parameters

`modelPath`	An absolute path to a model asset bundle stored locally on the device.
`error`	An optional error parameter populated when there is an error in initializing the hand landmarker.

Return Value

A new instance of HandLandmarker with the given model path. nil if there is an error in initializing the hand landmarker.


                    
                    
                    init(options:)

Creates a new instance of HandLandmarker from the given HandLandmarkerOptions.

Declaration

Swift

init(options: HandLandmarkerOptions) throws

Parameters

`options`	The options of type `HandLandmarkerOptions` to use for configuring the `HandLandmarker`.
`error`	An optional error parameter populated when there is an error in initializing the hand landmarker.

Return Value

A new instance of HandLandmarker with the given options. nil if there is an error in initializing the hand landmarker.


                    
                    
                    detect(image:)

Performs hand landmarks detection on the provided MPImage using the whole image as region of interest. Rotation will be applied according to the orientation property of the provided MPImage. Only use this method when the HandLandmarker is created with running mode, .image.

This method supports performing hand landmarks detection on RGBA images. If your MPImage has a source type of .pixelBuffer or .sampleBuffer, the underlying pixel buffer must use kCVPixelFormatType_32BGRA as its pixel format.

If your MPImage has a source type of .image ensure that the color space is RGB with an Alpha channel.

Declaration

Swift

func detect(image: MPImage) throws -> HandLandmarkerResult

Parameters

`image`	The `MPImage` on which hand landmarks detection is to be performed.
`error`	An optional error parameter populated when there is an error in performing hand landmarks detection on the input image.

Return Value

An HandLandmarkerResult object that contains the hand hand landmarks detection results.


                    
                    
                    detect(videoFrame:timestampInMilliseconds:)

Performs hand landmarks detection on the provided video frame of type MPImage using the whole image as region of interest. Rotation will be applied according to the orientation property of the provided MPImage. Only use this method when the HandLandmarker is created with running mode, .video.

It’s required to provide the video frame’s timestamp (in milliseconds). The input timestamps must be monotonically increasing.

This method supports performing hand landmarks detection on RGBA images. If your MPImage has a source type of .pixelBuffer or .sampleBuffer, the underlying pixel buffer must use kCVPixelFormatType_32BGRA as its pixel format.

If your MPImage has a source type of .image ensure that the color space is RGB with an Alpha channel.

Declaration

Swift

func detect(videoFrame image: MPImage, timestampInMilliseconds: Int) throws -> HandLandmarkerResult

Parameters

`image`	The `MPImage` on which hand landmarks detection is to be performed.
`timestampInMilliseconds`	The video frame’s timestamp (in milliseconds). The input timestamps must be monotonically increasing.
`error`	An optional error parameter populated when there is an error in performing hand landmarks detection on the input video frame.

Return Value

An HandLandmarkerResult object that contains the hand hand landmarks detection results.


                    
                    
                    detectAsync(image:timestampInMilliseconds:)

Sends live stream image data of type MPImage to perform hand landmarks detection using the whole image as region of interest. Rotation will be applied according to the orientation property of the provided MPImage. Only use this method when the HandLandmarker is created with running mode, .liveStream.

The object which needs to be continuously notified of the available results of hand landmarks detection must confirm to HandLandmarkerLiveStreamDelegate protocol and implement the handLandmarker(_:didFinishDetectionWithResult:timestampInMilliseconds:error:) delegate method.

It’s required to provide a timestamp (in milliseconds) to indicate when the input image is sent to the hand landmarker. The input timestamps must be monotonically increasing.

This method supports performing hand landmarks detection on RGBA images. If your MPImage has a source type of .pixelBuffer or .sampleBuffer, the underlying pixel buffer must use kCVPixelFormatType_32BGRA as its pixel format.

If the input MPImage has a source type of .image ensure that the color space is RGB with an Alpha channel.

If this method is used for performing hand landmarks detection on live camera frames using AVFoundation, ensure that you request AVCaptureVideoDataOutput to output frames in kCMPixelFormat_32BGRA using its videoSettings property.

Declaration

Swift

func detectAsync(image: MPImage, timestampInMilliseconds: Int) throws

Parameters

`image`	A live stream image data of type `MPImage` on which hand landmarks detection is to be performed.
`timestampInMilliseconds`	The timestamp (in milliseconds) which indicates when the input image is sent to the hand landmarker. The input timestamps must be monotonically increasing.
`error`	An optional error parameter populated when there is an error in performing hand landmarks detection on the input live stream image data.

Return Value

YES if the image was sent to the task successfully, otherwise NO.


                    
                    
                    -init

Undocumented


                    
                    
                    +new

Undocumented