def boundingbox(nmtree):
xmax = [-1.0e30, -1.0e30, -1.0e30]
xmin = [1.0e30, 1.0e30, 1.0e30]
for z in nmtree.NeuromechanicFile.Resources.Polygon:
b = z.Origin.Parent.enum1_
if b > 0: # Make sure that the polygon isn't on the ground body
fct, V = getMesh(z)
if not V is None:
for jj in range(V.shape[0]):
x = nm.model_calclocaltoglobal(b, V[jj, 0:3].tolist())
xmax = [max(x[kk], xmax[kk]) for kk in range(3)]
xmin = [min(x[kk], xmin[kk]) for kk in range(3)]
return (xmax, xmin)
def pglobal(p):
return np.array(nm.model_calclocaltoglobal(p.Parent.enum1_, p.x_.tolist()))
