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@ -159,7 +159,7 @@ class Pose(SolutionBase):
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'poselandmarkbyroicpu__tensorstoposelandmarksandsegmentation__ThresholdingCalculator.threshold':
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'poselandmarkbyroicpu__tensorstoposelandmarksandsegmentation__ThresholdingCalculator.threshold':
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min_tracking_confidence,
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min_tracking_confidence,
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},
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},
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outputs=['pose_landmarks', 'pose_world_landmarks', 'segmentation_mask'])
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outputs=['pose_landmarks', 'pose_world_landmarks', 'segmentation_mask', 'pose_detection'])
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def process(self, image: np.ndarray) -> NamedTuple:
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def process(self, image: np.ndarray) -> NamedTuple:
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"""Processes an RGB image and returns the pose landmarks on the most prominent person detected.
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"""Processes an RGB image and returns the pose landmarks on the most prominent person detected.
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