def ins_jnt(**kwargs):
num = kwargs.get("num_jts", 1)
sel = pm.ls(selection=True)
chld = pm.listRelatives(sel[0], children=True)
if not chld[0].type() == "joint":
print "end joint reached"
return None
#position_lst = []
pos1 = pm.xform(sel[0], query=True, worldSpace=True, translation=True)
pos2 = pm.xform(chld, query=True, worldSpace=True, translation=True)
len_vec1 = OpenMaya.MVector(pos1[0], pos1[1], pos1[2])
len_vec2 = OpenMaya.MVector(pos2[0], pos2[1], pos2[2])
len_vec = len_vec2 - len_vec1
print len_vec.x, len_vec.y, len_vec.z
part_vec = len_vec / (num + 1)
pos_vec = len_vec1 + len_vec / (num + 1)
cur_jnt = sel[0]
for i in range(num):
new_position = [pos_vec.x, pos_vec.y, pos_vec.z]
#print new_position
new_joint = pm.insertJoint(cur_jnt)
pm.joint(new_joint, edit=True, component=True, position=new_position)
#pm.xform(new_joint, translation=new_position)
pos_vec += part_vec
cur_jnt = new_joint
return None
def insJnt():
selected = pm.ls(selection=True)
for index in range(len(selected) - 1):
mid_pos = midPos(selected_items=[selected[index], selected[index + 1]])
new_joint = pm.insertJoint(selected[index])
pm.joint(new_joint, edit=True, component=True, position=mid_pos)
return None
def dense_chain(**kwargs):
import pymel.core.datatypes as dt
joints = kwargs.get("joints", None)
joints_inbetween = kwargs.get("joints_inbetween", 5)
if not joints:
joints = pm.ls(selection=True)
joints.pop(-1)
for jnt in joints:
child = jnt.getChildren()
pos = pm.xform(jnt, query=True, translation=True, worldSpace=True)
vpos1 = dt.Vector(pos)
pos = pm.xform(child[0], query=True, translation=True, worldSpace=True)
vpos2 = dt.Vector(pos)
vpos = vpos2 - vpos1
div_vec = vpos / (joints_inbetween + 1)
out_vec = vpos1
cur_jnt = jnt
for i in range(joints_inbetween):
out_vec = (out_vec + div_vec)
pos = [out_vec.x, out_vec.y, out_vec.z]
new_jnt = pm.insertJoint(cur_jnt)
pm.joint(new_jnt,
edit=True,
component=True,
position=pos,
name=str(i))
cur_jnt = new_jnt
return None