![]() Since running the palm detection model is time consuming, when in video or live Landmarks on the cropped hand image defined by the palm detection model. The input image, and the hand landmarks detection model identifies specific hand The Palm detection model locates hands within The hand landmarker model bundle contains a palm detection model andĪ hand landmarks detection model. Hand models imposed over various backgrounds. On approximately 30K real-world images, as well as several rendered synthetic Hand-knuckle coordinates within the detected hand regions. The hand landmark model bundle detects the keypoint localization of 21 Attention: This MediaPipe Solutions Preview is an early release. You need a model bundle thatĬontains both these models to run this task. Model and a hand landmarks detection model. The Hand Landmarker uses a model bundle with two packaged models: a palm detection Only applicable when running mode is set to LIVE_STREAM Sets the result listener to receive the detection resultsĪsynchronously when the hand landmarker is in live stream mode. Hand Landmarker, if the tracking fails, Hand Landmarker triggers handĭetection. This is the bounding box IoU threshold between hands in theĬurrent frame and the last frame. The minimum confidence score for the hand tracking to be considered The hand(s) for subsequent landmark detections. Lightweight hand tracking algorithm determines the location of This threshold, Hand Landmarker triggers the palm detection model. If the hand presence confidence score from the hand landmark model is below The minimum confidence score for the hand presence score in the hand The minimum confidence score for the hand detection to beĬonsidered successful in palm detection model. The maximum number of hands detected by the Hand landmark detector. In this mode, resultListener must beĬalled to set up a listener to receive results LIVE_STREAM: The mode for a livestream of inputĭata, such as from a camera. VIDEO: The mode for decoded frames of a video. This task has the following configuration options: Option Name Landmarks of detected hands in world coordinates. ![]() Landmarks of detected hands in image coordinates. ![]() The Hand Landmarker outputs the following results: The Hand Landmarker accepts an input of one of the following data types:
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