Replying to myself: Turns out the problem is that v was a 3-Vector, and it wasn't getting "correctly" promoted to a 4-Vector. The W component should be 1, but was instead 0.
Building a 4-Vector first, and multiplying that by the matrix gives the expected results: v4 = dt.VectorN(v.x, v.y, v.z, 1.0) v * m.inverse() However, it turns out that the multiply operation is ridiculously slow. I tracked it down to the operation of actually accessing the matrix components. That is, just getting m.a00 etc. is slow. Solution was to write my own transform-apply function that takes a dict instead of a matrix. -- view archives: http://groups.google.com/group/python_inside_maya change your subscription settings: http://groups.google.com/group/python_inside_maya/subscribe
