@m_adam Thanks for your help and look forward to the improvement of python doc

Hi
I want to print PoseMorphTag Values(like point relative position),but seem to have some problems。
code:

def main():
    m_tag = op.GetTag(c4d.Tposemorph)
    mor = m_tag.GetMorph(1)
    node = mor.GetFirst()
    cnt = node.GetPointCount()
    print cnt
    for i in xrange(cnt):
        print i,":",node.GetPoint(i)

I want to get point(index: 167 or >12),but i don't know how to get?

Thanks for anyone help!

@mp5gosu Thanks, I will keep exploring that creating my own CustomGui. The greatest pleasure is the process of finding answers.

@m_adam Thanks,although the problem has not been resolved, but got a good answer.

Thanks also for the help provided by @mp5gosu

@m_adam Thanks,I still have a question about c4d how to implement the "Select Object(s)/Remove" command in IN/ExcludeGUI,this confuses me!

I searched a lot in the forum and still couldn't find the answer. But in c4d, the right-clicked the activated object in the gui can select or remove the activated object . Obviously it should have a way to get the activated object.

Thanks for any help.

@m_adam Thank you for your team's reply.
I will share my exploration in this post in the future.

@m_adam Understand your practices and thank you for your patience.
（Maybe I express unclearly before, so the translation may seem a bit reckless. I just want to get some guidelines instead of asking for the algorithm directly. I respect the labor results of maxon or everyone
It's ok, I have got your feedback,continue my exploration ）

@a_block Thank you for your reply!
This problem stems from the fact that when I tried to convert PSD to relative, I couldn't get the final result equivalent to PSD, so I started my journey of exploring PSD.

After reading a lot of articles about PSD, I tried to implement an algorithm I can understand in C4D. I thought I solved this problem, but I didn't. I found that the PSD of C4D is different. (C4D has better. The intermediate state + the correct result, but can not be correctly converted to relative), so this caused my interest, I want to further understand, so I sent this post.

It is understandable that any commercial software will not easily leak algorithms.

Here is the code: (currently a simple test phase, the calculation results are correct as in the picture)

def main():

    obj = doc.GetActiveObject()     #select after sculpt mesh

    tag = obj.GetTag(c4d.Tweights)

    objmg = obj.GetMg()

    plist = [objmg * pos for pos in obj.GetAllPoints()]

    cnt = len(plist)

    jcnt = tag.GetJointCount()

    doc.AddUndo(c4d.UNDOTYPE_CHANGE,obj)

    for pid in xrange(cnt):

        m = 0 * c4d.Matrix()

        for j in xrange(jcnt):

            rs = tag.GetJointRestState(j)

            jsmi = rs["m_bMi"]

            joint = tag.GetJoint(j)

            jmg = joint.GetMg()

            weight = tag.GetWeight(j,pid)

            if not weight:

                continue

            m += weight * jmg * jsmi

        plist[pid] = ~m * plist[pid]

    plist = [~objmg*pos for pos in plist]

    obj.SetAllPoints(plist)

    obj.Message(c4d.MSG_UPDATE)

    c4d.EventAdd()

Recently I was trying to use RBF to drive pose morph. At the stage of the integration process ,I encountered some problems.

• Question 1: When using PSD correction to convert to relative pose morph, the result is not correct.

  1. (psd ---->relative use script): In the picture,using script to convert to relative pose morph, in the final skeleton pose, can get the final desired result. Script algorithm: expected result = skin + engraving = skin (original + pose morph) algorithm from j.p.lewis <Pose Space Deformation Notes>

  2. (psd ---->relative use help doc): Use the help document function converted to a relative pose morph using PSD correction,in the final skeleton pose,can not get the final desired result

• Question 2: What's the algorithm of PSD correction ?

  1. Although the correct relative distortion can be obtained by using script, the intermediate transition result is not as good as PSD correction (contrast results are shown in the figure).

picture: