An object that confirms to PoseLandmarkerLiveStreamDelegate protocol. This object must
implement poseLandmarker(_:didFinishDetectionWithResult:timestampInMilliseconds:error:) to
receive the results of performing asynchronous pose landmark detection on images (i.e, when
runningMode = .liveStream).
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-05-08 UTC."],[],[],null,["# MediaPipeTasksVision Framework Reference\n\nMPPPoseLandmarkerOptions\n========================\n\n\n @interface MPPPoseLandmarkerOptions : ../Classes/MPPTaskOptions.html \u003cNSCopying\u003e\n\nOptions for setting up a `PoseLandmarker`.\n- `\n ``\n ``\n `\n\n ### [runningMode](#/c:objc(cs)MPPPoseLandmarkerOptions(py)runningMode)\n\n `\n ` \n Running mode of the pose landmark dection task. Defaults to `.image`. `PoseLandmarker` can be\n created with one of the following running modes:\n 1. `.image`: The mode for performing pose landmark detection on single image inputs.\n 2. `.video`: The mode for performing pose landmark detection on the decoded frames of a video.\n 3. `.liveStream`: The mode for performing pose landmark detection on a live stream of input data, such as from the camera. \n\n #### Declaration\n\n Objective-C \n\n @property (nonatomic) ../Enums/MPPRunningMode.html runningMode;\n\n- `\n ``\n ``\n `\n\n ### [poseLandmarkerLiveStreamDelegate](#/c:objc(cs)MPPPoseLandmarkerOptions(py)poseLandmarkerLiveStreamDelegate)\n\n `\n ` \n An object that confirms to `PoseLandmarkerLiveStreamDelegate` protocol. This object must\n implement `poseLandmarker(_:didFinishDetectionWithResult:timestampInMilliseconds:error:)` to\n receive the results of performing asynchronous pose landmark detection on images (i.e, when\n [runningMode](../Classes/MPPPoseLandmarkerOptions.html#/c:objc(cs)MPPPoseLandmarkerOptions(py)runningMode) = `.liveStream`). \n\n #### Declaration\n\n Objective-C \n\n @property (nonatomic, weak, nullable) id\u003c../Protocols/MPPPoseLandmarkerLiveStreamDelegate.html\u003e poseLandmarkerLiveStreamDelegate;\n\n- `\n ``\n ``\n `\n\n ### [numPoses](#/c:objc(cs)MPPPoseLandmarkerOptions(py)numPoses)\n\n `\n ` \n The maximum number of poses that can be detected by the `PoseLandmarker`. Defaults to 1. \n\n #### Declaration\n\n Objective-C \n\n @property (nonatomic) NSInteger numPoses;\n\n- `\n ``\n ``\n `\n\n ### [minPoseDetectionConfidence](#/c:objc(cs)MPPPoseLandmarkerOptions(py)minPoseDetectionConfidence)\n\n `\n ` \n The minimum confidence score for pose detection to be considered successful. Defaults to 0.5. \n\n #### Declaration\n\n Objective-C \n\n @property (nonatomic) float minPoseDetectionConfidence;\n\n- `\n ``\n ``\n `\n\n ### [minPosePresenceConfidence](#/c:objc(cs)MPPPoseLandmarkerOptions(py)minPosePresenceConfidence)\n\n `\n ` \n The minimum confidence score of pose presence score in the pose landmark detection. Defaults to\n 0.5. \n\n #### Declaration\n\n Objective-C \n\n @property (nonatomic) float minPosePresenceConfidence;\n\n- `\n ``\n ``\n `\n\n ### [minTrackingConfidence](#/c:objc(cs)MPPPoseLandmarkerOptions(py)minTrackingConfidence)\n\n `\n ` \n The minimum confidence score for pose tracking to be considered successful. Defaults to 0.5. \n\n #### Declaration\n\n Objective-C \n\n @property (nonatomic) float minTrackingConfidence;\n\n- `\n ``\n ``\n `\n\n ### [shouldOutputSegmentationMasks](#/c:objc(cs)MPPPoseLandmarkerOptions(py)shouldOutputSegmentationMasks)\n\n `\n ` \n Whether to output segmentation masks. Defaults to `false`. \n\n #### Declaration\n\n Objective-C \n\n @property (nonatomic) BOOL shouldOutputSegmentationMasks;"]]