![]() ![]() ![]() 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: Score threshold - Filter results based on prediction scores.Normalization, and color space conversion. Input image processing - Processing includes image rotation, resizing,.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 one of these implementation guides for your Image coordinates, hand landmarks in world coordinates and handedness(left/right (ML) model as static data or a continuous stream and outputs hand landmarks in This task operates on image data with a machine learning You can use this task to locate key points of hands and render visualĮffects on them. The MediaPipe Hand Landmarker task lets you detect the landmarks of the hands in an image. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |