ml_softWeights.py 文件源码

def softSelectionSkinWeights(*args):

    model = mc.ls(sl=True, o=True)
    joints = mc.ls(model, type='joint')
    mc.select(joints, deselect=True)
    weights = getSoftSelectionWeights()

    if not model or not joints or not weights:
        raise RuntimeError('Select vertices followed by a joint')

    if len(joints) > 1:
        raise RuntimeError('Only one joint can be selected at a time')

    joint = joints[0]

    skin = utl.getSkinCluster(model[0])

    if not skin:
        raise RuntimeError('Mesh must have an existing skinCluster')

    influences = mc.skinCluster(skin, query=True, influence=True)
    if joint not in influences:
        mc.skinCluster(skin, edit=True, addInfluence=joint, lockWeights=False, weight=0)

    for influence in influences:
        mc.skinCluster(skin, edit=True, influence=influence, lockWeights=False)

    for vertex, weight in weights.items():
        mc.skinPercent(skin, vertex, transformValue=(joint, weight))

    mc.select(joint)


#      ______________________
# - -/__ Revision History __/- - - - - - - - - - - - - - - - - - - - - - - -
#
# Revision 1: 2016-12-31 : Initial publish