bone_list = [hips, rightupleg, rightleg]
t_pose_data = [0.0, 105.85, 0.0, 0, 0, 0, -11.5] do the first 3 numbers correspond to the hips x,y,z position?How about the fram1_data = [-0.05, 106.89, -3.65, -6.91, 173.25, -1.78]?If I have a csv file  with data format like below
         
  
Body.translateX
  
Body.translateY
  
Body.translateZ
  
Body.rotateX
  
Body.rotateY
  
Body.rotateZ
  
Hips.translateX
  
Hips.translateY
  
Hips.translateZ
  
Hips.rotateX
  
Hips.rotateY
  
Hips.rotateZ
 
 
  
-15.337641
  
103.876595
  
7.788717
  
0
  
0
  
0
  
-15.938843
  
100.31266
  
8.859345
  
-0.310804
  
-2.850941
  
104.551296
 
 
  
-15.336495
  
103.875458
  
7.831433
  
0
  
0
  
0
  
-15.934213
  
100.309464
  
8.910808
  
-0.317408
  
-2.851971
  
104.591611
 
 
  
-15.337191
  
103.874374
  
7.869067
  
0
  
0
  
0
  
-15.931573
  
100.306335
  
8.957129
  
-0.32407
  
-2.850415
  
104.629859
 
How do I map this?Can you also explain the facial format?  https://wiki.reallusion.com/IC_Python_API:RLPy_RIFacialDeviceHow do I interpret this?
head_data1 = [0.3, 0.4, 0.5]left_eye_data1 = [0.4, 0.5]right_eye_data1 = [0.4, 0.5]bone_data1 = [0.3, 0.4, 0.5, 0.3, 0.4, 0.4, 0.3, 0.4, 0.5, 0.3, 0.4, 0.4]morph_data1 = [0]*60custom_data1 = [0]*24What is the bone_data?What is the morph_data?From what I can find out the face is strictly driven by morphs instead of facial bones, is this correct?I have a file with 486 3D facial keypoints predicted per frame like below. Keypoints(landmarks) is an array of xzy coordinates starting from 1-486. Do I just map a groups of these to a morph?  Example if I define keypoints 1-10 to be the left cheek group  then I can map that to a left cheek morph?
[  {    "faceInViewConfidence": 1,    "frame": 1,    "timestamp": 1594600292956,    "keypoints": [      [        327.48779296875,        226.72177124023438,        -10.546834945678711      ],      [        327.5000915527344,        218.25994873046875,        -28.060033798217773      ]]}]