SplitDataForSegmentation[data]
splits data for "Legs" segmentation,detecting left/right side and upper/lower leg position automatically using a classification network.
SplitDataForSegmentation[data,what]
splits for the specified region. What can be "Legs", "LegsHip", "UpperLegs", "LowerLegs", "Shoulder", "Hip", or "Body".
SplitDataForSegmentation[data,seg]
splits both data and segmentation identically for "Legs".
SplitDataForSegmentation[data,seg,what]
does the same for the specified region. Output is {{patches, ranges, dim}, locations}.
SplitDataForSegmentation
SplitDataForSegmentation[data]
splits data for "Legs" segmentation,detecting left/right side and upper/lower leg position automatically using a classification network.
SplitDataForSegmentation[data,what]
splits for the specified region. What can be "Legs", "LegsHip", "UpperLegs", "LowerLegs", "Shoulder", "Hip", or "Body".
SplitDataForSegmentation[data,seg]
splits both data and segmentation identically for "Legs".
SplitDataForSegmentation[data,seg,what]
does the same for the specified region. Output is {{patches, ranges, dim}, locations}.
Details
- The following options can be given:
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Monitor False Monitor[expr,mon] generates a temporary monitor cell in which the continually updated current value of mon is displayed during the course of evaluation of expr. SplitOverlap 0.1 SplitOverlap is an option of SplitDataForSegmentation. Has to be a value between 0 and 0.2 and defines how much the left and right side overlap.