![]() 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 Optional: a segmentation mask for the pose.Pose landmarks in normalized image coordinates.The Pose Landmarker outputs the following results: The Pose Landmarker accepts an input of one of the following data types: Score threshold - Filter results based on prediction scores.Input image processing - Processing includes image rotation, resizing, normalization, and color space conversion.This section describes the capabilities, inputs, outputs, and configuration Implementation of this task, including a recommended model, and code example These platform-specific guides walk you through a basic ![]() Start using this task by following the implementation guide for your The task outputs body pose landmarks in imageĬoordinates and in 3-dimensional world coordinates. This task uses machine learning (ML) models that ![]() You can use this task to identify key body locations, analyze posture,Īnd categorize movements. ![]() The MediaPipe Pose Landmarker task lets you detect landmarks of human bodies in an image or ![]()
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