DECO / utils /kp_utils.py
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import numpy as np
def keypoint_hflip(kp, img_width):
# Flip a keypoint horizontally around the y-axis
# kp N,2
if len(kp.shape) == 2:
kp[:,0] = (img_width - 1.) - kp[:,0]
elif len(kp.shape) == 3:
kp[:, :, 0] = (img_width - 1.) - kp[:, :, 0]
return kp
def convert_kps(joints2d, src, dst):
src_names = eval(f'get_{src}_joint_names')()
dst_names = eval(f'get_{dst}_joint_names')()
out_joints2d = np.zeros((joints2d.shape[0], len(dst_names), joints2d.shape[-1]))
for idx, jn in enumerate(dst_names):
if jn in src_names:
out_joints2d[:, idx] = joints2d[:, src_names.index(jn)]
return out_joints2d
def get_perm_idxs(src, dst):
src_names = eval(f'get_{src}_joint_names')()
dst_names = eval(f'get_{dst}_joint_names')()
idxs = [src_names.index(h) for h in dst_names if h in src_names]
return idxs
def get_mpii3d_test_joint_names():
return [
'headtop', # 'head_top',
'neck',
'rshoulder',# 'right_shoulder',
'relbow',# 'right_elbow',
'rwrist',# 'right_wrist',
'lshoulder',# 'left_shoulder',
'lelbow', # 'left_elbow',
'lwrist', # 'left_wrist',
'rhip', # 'right_hip',
'rknee', # 'right_knee',
'rankle',# 'right_ankle',
'lhip',# 'left_hip',
'lknee',# 'left_knee',
'lankle',# 'left_ankle'
'hip',# 'pelvis',
'Spine (H36M)',# 'spine',
'Head (H36M)',# 'head'
]
def get_mpii3d_joint_names():
return [
'spine3', # 0,
'spine4', # 1,
'spine2', # 2,
'Spine (H36M)', #'spine', # 3,
'hip', # 'pelvis', # 4,
'neck', # 5,
'Head (H36M)', # 'head', # 6,
"headtop", # 'head_top', # 7,
'left_clavicle', # 8,
"lshoulder", # 'left_shoulder', # 9,
"lelbow", # 'left_elbow',# 10,
"lwrist", # 'left_wrist',# 11,
'left_hand',# 12,
'right_clavicle',# 13,
'rshoulder',# 'right_shoulder',# 14,
'relbow',# 'right_elbow',# 15,
'rwrist',# 'right_wrist',# 16,
'right_hand',# 17,
'lhip', # left_hip',# 18,
'lknee', # 'left_knee',# 19,
'lankle', #left ankle # 20
'left_foot', # 21
'left_toe', # 22
"rhip", # 'right_hip',# 23
"rknee", # 'right_knee',# 24
"rankle", #'right_ankle', # 25
'right_foot',# 26
'right_toe' # 27
]
# def get_insta_joint_names():
# return [
# 'rheel' , # 0
# 'rknee' , # 1
# 'rhip' , # 2
# 'lhip' , # 3
# 'lknee' , # 4
# 'lheel' , # 5
# 'rwrist' , # 6
# 'relbow' , # 7
# 'rshoulder' , # 8
# 'lshoulder' , # 9
# 'lelbow' , # 10
# 'lwrist' , # 11
# 'neck' , # 12
# 'headtop' , # 13
# 'nose' , # 14
# 'leye' , # 15
# 'reye' , # 16
# 'lear' , # 17
# 'rear' , # 18
# 'lbigtoe' , # 19
# 'rbigtoe' , # 20
# 'lsmalltoe' , # 21
# 'rsmalltoe' , # 22
# 'lankle' , # 23
# 'rankle' , # 24
# ]
def get_insta_joint_names():
return [
'OP RHeel',
'OP RKnee',
'OP RHip',
'OP LHip',
'OP LKnee',
'OP LHeel',
'OP RWrist',
'OP RElbow',
'OP RShoulder',
'OP LShoulder',
'OP LElbow',
'OP LWrist',
'OP Neck',
'headtop',
'OP Nose',
'OP LEye',
'OP REye',
'OP LEar',
'OP REar',
'OP LBigToe',
'OP RBigToe',
'OP LSmallToe',
'OP RSmallToe',
'OP LAnkle',
'OP RAnkle',
]
def get_mmpose_joint_names():
# this naming is for the first 23 joints of MMPose
# does not include hands and face
return [
'OP Nose', # 1
'OP LEye', # 2
'OP REye', # 3
'OP LEar', # 4
'OP REar', # 5
'OP LShoulder', # 6
'OP RShoulder', # 7
'OP LElbow', # 8
'OP RElbow', # 9
'OP LWrist', # 10
'OP RWrist', # 11
'OP LHip', # 12
'OP RHip', # 13
'OP LKnee', # 14
'OP RKnee', # 15
'OP LAnkle', # 16
'OP RAnkle', # 17
'OP LBigToe', # 18
'OP LSmallToe', # 19
'OP LHeel', # 20
'OP RBigToe', # 21
'OP RSmallToe', # 22
'OP RHeel', # 23
]
def get_insta_skeleton():
return np.array(
[
[0 , 1],
[1 , 2],
[2 , 3],
[3 , 4],
[4 , 5],
[6 , 7],
[7 , 8],
[8 , 9],
[9 ,10],
[2 , 8],
[3 , 9],
[10,11],
[8 ,12],
[9 ,12],
[12,13],
[12,14],
[14,15],
[14,16],
[15,17],
[16,18],
[0 ,20],
[20,22],
[5 ,19],
[19,21],
[5 ,23],
[0 ,24],
])
def get_staf_skeleton():
return np.array(
[
[0, 1],
[1, 2],
[2, 3],
[3, 4],
[1, 5],
[5, 6],
[6, 7],
[1, 8],
[8, 9],
[9, 10],
[10, 11],
[8, 12],
[12, 13],
[13, 14],
[0, 15],
[0, 16],
[15, 17],
[16, 18],
[2, 9],
[5, 12],
[1, 19],
[20, 19],
]
)
def get_staf_joint_names():
return [
'OP Nose', # 0,
'OP Neck', # 1,
'OP RShoulder', # 2,
'OP RElbow', # 3,
'OP RWrist', # 4,
'OP LShoulder', # 5,
'OP LElbow', # 6,
'OP LWrist', # 7,
'OP MidHip', # 8,
'OP RHip', # 9,
'OP RKnee', # 10,
'OP RAnkle', # 11,
'OP LHip', # 12,
'OP LKnee', # 13,
'OP LAnkle', # 14,
'OP REye', # 15,
'OP LEye', # 16,
'OP REar', # 17,
'OP LEar', # 18,
'Neck (LSP)', # 19,
'Top of Head (LSP)', # 20,
]
def get_spin_op_joint_names():
return [
'OP Nose', # 0
'OP Neck', # 1
'OP RShoulder', # 2
'OP RElbow', # 3
'OP RWrist', # 4
'OP LShoulder', # 5
'OP LElbow', # 6
'OP LWrist', # 7
'OP MidHip', # 8
'OP RHip', # 9
'OP RKnee', # 10
'OP RAnkle', # 11
'OP LHip', # 12
'OP LKnee', # 13
'OP LAnkle', # 14
'OP REye', # 15
'OP LEye', # 16
'OP REar', # 17
'OP LEar', # 18
'OP LBigToe', # 19
'OP LSmallToe', # 20
'OP LHeel', # 21
'OP RBigToe', # 22
'OP RSmallToe', # 23
'OP RHeel', # 24
]
def get_openpose_joint_names():
return [
'OP Nose', # 0
'OP Neck', # 1
'OP RShoulder', # 2
'OP RElbow', # 3
'OP RWrist', # 4
'OP LShoulder', # 5
'OP LElbow', # 6
'OP LWrist', # 7
'OP MidHip', # 8
'OP RHip', # 9
'OP RKnee', # 10
'OP RAnkle', # 11
'OP LHip', # 12
'OP LKnee', # 13
'OP LAnkle', # 14
'OP REye', # 15
'OP LEye', # 16
'OP REar', # 17
'OP LEar', # 18
'OP LBigToe', # 19
'OP LSmallToe', # 20
'OP LHeel', # 21
'OP RBigToe', # 22
'OP RSmallToe', # 23
'OP RHeel', # 24
]
def get_spin_joint_names():
return [
'OP Nose', # 0
'OP Neck', # 1
'OP RShoulder', # 2
'OP RElbow', # 3
'OP RWrist', # 4
'OP LShoulder', # 5
'OP LElbow', # 6
'OP LWrist', # 7
'OP MidHip', # 8
'OP RHip', # 9
'OP RKnee', # 10
'OP RAnkle', # 11
'OP LHip', # 12
'OP LKnee', # 13
'OP LAnkle', # 14
'OP REye', # 15
'OP LEye', # 16
'OP REar', # 17
'OP LEar', # 18
'OP LBigToe', # 19
'OP LSmallToe', # 20
'OP LHeel', # 21
'OP RBigToe', # 22
'OP RSmallToe', # 23
'OP RHeel', # 24
'rankle', # 25
'rknee', # 26
'rhip', # 27
'lhip', # 28
'lknee', # 29
'lankle', # 30
'rwrist', # 31
'relbow', # 32
'rshoulder', # 33
'lshoulder', # 34
'lelbow', # 35
'lwrist', # 36
'neck', # 37
'headtop', # 38
'hip', # 39 'Pelvis (MPII)', # 39
'thorax', # 40 'Thorax (MPII)', # 40
'Spine (H36M)', # 41
'Jaw (H36M)', # 42
'Head (H36M)', # 43
'nose', # 44
'leye', # 45 'Left Eye', # 45
'reye', # 46 'Right Eye', # 46
'lear', # 47 'Left Ear', # 47
'rear', # 48 'Right Ear', # 48
]
def get_muco3dhp_joint_names():
return [
'headtop',
'thorax',
'rshoulder',
'relbow',
'rwrist',
'lshoulder',
'lelbow',
'lwrist',
'rhip',
'rknee',
'rankle',
'lhip',
'lknee',
'lankle',
'hip',
'Spine (H36M)',
'Head (H36M)',
'R_Hand',
'L_Hand',
'R_Toe',
'L_Toe'
]
def get_h36m_joint_names():
return [
'hip', # 0
'lhip', # 1
'lknee', # 2
'lankle', # 3
'rhip', # 4
'rknee', # 5
'rankle', # 6
'Spine (H36M)', # 7
'neck', # 8
'Head (H36M)', # 9
'headtop', # 10
'lshoulder', # 11
'lelbow', # 12
'lwrist', # 13
'rshoulder', # 14
'relbow', # 15
'rwrist', # 16
]
def get_spin_skeleton():
return np.array(
[
[0 , 1],
[1 , 2],
[2 , 3],
[3 , 4],
[1 , 5],
[5 , 6],
[6 , 7],
[1 , 8],
[8 , 9],
[9 ,10],
[10,11],
[8 ,12],
[12,13],
[13,14],
[0 ,15],
[0 ,16],
[15,17],
[16,18],
[21,19],
[19,20],
[14,21],
[11,24],
[24,22],
[22,23],
[0 ,38],
]
)
def get_openpose_skeleton():
return np.array(
[
[0 , 1],
[1 , 2],
[2 , 3],
[3 , 4],
[1 , 5],
[5 , 6],
[6 , 7],
[1 , 8],
[8 , 9],
[9 ,10],
[10,11],
[8 ,12],
[12,13],
[13,14],
[0 ,15],
[0 ,16],
[15,17],
[16,18],
[21,19],
[19,20],
[14,21],
[11,24],
[24,22],
[22,23],
]
)
def get_posetrack_joint_names():
return [
"nose",
"neck",
"headtop",
"lear",
"rear",
"lshoulder",
"rshoulder",
"lelbow",
"relbow",
"lwrist",
"rwrist",
"lhip",
"rhip",
"lknee",
"rknee",
"lankle",
"rankle"
]
def get_posetrack_original_kp_names():
return [
'nose',
'head_bottom',
'head_top',
'left_ear',
'right_ear',
'left_shoulder',
'right_shoulder',
'left_elbow',
'right_elbow',
'left_wrist',
'right_wrist',
'left_hip',
'right_hip',
'left_knee',
'right_knee',
'left_ankle',
'right_ankle'
]
def get_pennaction_joint_names():
return [
"headtop", # 0
"lshoulder", # 1
"rshoulder", # 2
"lelbow", # 3
"relbow", # 4
"lwrist", # 5
"rwrist", # 6
"lhip" , # 7
"rhip" , # 8
"lknee", # 9
"rknee" , # 10
"lankle", # 11
"rankle" # 12
]
def get_common_joint_names():
return [
"rankle", # 0 "lankle", # 0
"rknee", # 1 "lknee", # 1
"rhip", # 2 "lhip", # 2
"lhip", # 3 "rhip", # 3
"lknee", # 4 "rknee", # 4
"lankle", # 5 "rankle", # 5
"rwrist", # 6 "lwrist", # 6
"relbow", # 7 "lelbow", # 7
"rshoulder", # 8 "lshoulder", # 8
"lshoulder", # 9 "rshoulder", # 9
"lelbow", # 10 "relbow", # 10
"lwrist", # 11 "rwrist", # 11
"neck", # 12 "neck", # 12
"headtop", # 13 "headtop", # 13
]
def get_common_paper_joint_names():
return [
"Right Ankle", # 0 "lankle", # 0
"Right Knee", # 1 "lknee", # 1
"Right Hip", # 2 "lhip", # 2
"Left Hip", # 3 "rhip", # 3
"Left Knee", # 4 "rknee", # 4
"Left Ankle", # 5 "rankle", # 5
"Right Wrist", # 6 "lwrist", # 6
"Right Elbow", # 7 "lelbow", # 7
"Right Shoulder", # 8 "lshoulder", # 8
"Left Shoulder", # 9 "rshoulder", # 9
"Left Elbow", # 10 "relbow", # 10
"Left Wrist", # 11 "rwrist", # 11
"Neck", # 12 "neck", # 12
"Head", # 13 "headtop", # 13
]
def get_common_skeleton():
return np.array(
[
[ 0, 1 ],
[ 1, 2 ],
[ 3, 4 ],
[ 4, 5 ],
[ 6, 7 ],
[ 7, 8 ],
[ 8, 2 ],
[ 8, 9 ],
[ 9, 3 ],
[ 2, 3 ],
[ 8, 12],
[ 9, 10],
[12, 9 ],
[10, 11],
[12, 13],
]
)
def get_coco_joint_names():
return [
"nose", # 0
"leye", # 1
"reye", # 2
"lear", # 3
"rear", # 4
"lshoulder", # 5
"rshoulder", # 6
"lelbow", # 7
"relbow", # 8
"lwrist", # 9
"rwrist", # 10
"lhip", # 11
"rhip", # 12
"lknee", # 13
"rknee", # 14
"lankle", # 15
"rankle", # 16
]
def get_ochuman_joint_names():
return [
'rshoulder',
'relbow',
'rwrist',
'lshoulder',
'lelbow',
'lwrist',
'rhip',
'rknee',
'rankle',
'lhip',
'lknee',
'lankle',
'headtop',
'neck',
'rear',
'lear',
'nose',
'reye',
'leye'
]
def get_crowdpose_joint_names():
return [
'lshoulder',
'rshoulder',
'lelbow',
'relbow',
'lwrist',
'rwrist',
'lhip',
'rhip',
'lknee',
'rknee',
'lankle',
'rankle',
'headtop',
'neck'
]
def get_coco_skeleton():
# 0 - nose,
# 1 - leye,
# 2 - reye,
# 3 - lear,
# 4 - rear,
# 5 - lshoulder,
# 6 - rshoulder,
# 7 - lelbow,
# 8 - relbow,
# 9 - lwrist,
# 10 - rwrist,
# 11 - lhip,
# 12 - rhip,
# 13 - lknee,
# 14 - rknee,
# 15 - lankle,
# 16 - rankle,
return np.array(
[
[15, 13],
[13, 11],
[16, 14],
[14, 12],
[11, 12],
[ 5, 11],
[ 6, 12],
[ 5, 6 ],
[ 5, 7 ],
[ 6, 8 ],
[ 7, 9 ],
[ 8, 10],
[ 1, 2 ],
[ 0, 1 ],
[ 0, 2 ],
[ 1, 3 ],
[ 2, 4 ],
[ 3, 5 ],
[ 4, 6 ]
]
)
def get_mpii_joint_names():
return [
"rankle", # 0
"rknee", # 1
"rhip", # 2
"lhip", # 3
"lknee", # 4
"lankle", # 5
"hip", # 6
"thorax", # 7
"neck", # 8
"headtop", # 9
"rwrist", # 10
"relbow", # 11
"rshoulder", # 12
"lshoulder", # 13
"lelbow", # 14
"lwrist", # 15
]
def get_mpii_skeleton():
# 0 - rankle,
# 1 - rknee,
# 2 - rhip,
# 3 - lhip,
# 4 - lknee,
# 5 - lankle,
# 6 - hip,
# 7 - thorax,
# 8 - neck,
# 9 - headtop,
# 10 - rwrist,
# 11 - relbow,
# 12 - rshoulder,
# 13 - lshoulder,
# 14 - lelbow,
# 15 - lwrist,
return np.array(
[
[ 0, 1 ],
[ 1, 2 ],
[ 2, 6 ],
[ 6, 3 ],
[ 3, 4 ],
[ 4, 5 ],
[ 6, 7 ],
[ 7, 8 ],
[ 8, 9 ],
[ 7, 12],
[12, 11],
[11, 10],
[ 7, 13],
[13, 14],
[14, 15]
]
)
def get_aich_joint_names():
return [
"rshoulder", # 0
"relbow", # 1
"rwrist", # 2
"lshoulder", # 3
"lelbow", # 4
"lwrist", # 5
"rhip", # 6
"rknee", # 7
"rankle", # 8
"lhip", # 9
"lknee", # 10
"lankle", # 11
"headtop", # 12
"neck", # 13
]
def get_aich_skeleton():
# 0 - rshoulder,
# 1 - relbow,
# 2 - rwrist,
# 3 - lshoulder,
# 4 - lelbow,
# 5 - lwrist,
# 6 - rhip,
# 7 - rknee,
# 8 - rankle,
# 9 - lhip,
# 10 - lknee,
# 11 - lankle,
# 12 - headtop,
# 13 - neck,
return np.array(
[
[ 0, 1 ],
[ 1, 2 ],
[ 3, 4 ],
[ 4, 5 ],
[ 6, 7 ],
[ 7, 8 ],
[ 9, 10],
[10, 11],
[12, 13],
[13, 0 ],
[13, 3 ],
[ 0, 6 ],
[ 3, 9 ]
]
)
def get_3dpw_joint_names():
return [
"nose", # 0
"thorax", # 1
"rshoulder", # 2
"relbow", # 3
"rwrist", # 4
"lshoulder", # 5
"lelbow", # 6
"lwrist", # 7
"rhip", # 8
"rknee", # 9
"rankle", # 10
"lhip", # 11
"lknee", # 12
"lankle", # 13
]
def get_3dpw_skeleton():
return np.array(
[
[ 0, 1 ],
[ 1, 2 ],
[ 2, 3 ],
[ 3, 4 ],
[ 1, 5 ],
[ 5, 6 ],
[ 6, 7 ],
[ 2, 8 ],
[ 5, 11],
[ 8, 11],
[ 8, 9 ],
[ 9, 10],
[11, 12],
[12, 13]
]
)
def get_smplcoco_joint_names():
return [
"rankle", # 0
"rknee", # 1
"rhip", # 2
"lhip", # 3
"lknee", # 4
"lankle", # 5
"rwrist", # 6
"relbow", # 7
"rshoulder", # 8
"lshoulder", # 9
"lelbow", # 10
"lwrist", # 11
"neck", # 12
"headtop", # 13
"nose", # 14
"leye", # 15
"reye", # 16
"lear", # 17
"rear", # 18
]
def get_smplcoco_skeleton():
return np.array(
[
[ 0, 1 ],
[ 1, 2 ],
[ 3, 4 ],
[ 4, 5 ],
[ 6, 7 ],
[ 7, 8 ],
[ 8, 12],
[12, 9 ],
[ 9, 10],
[10, 11],
[12, 13],
[14, 15],
[15, 17],
[16, 18],
[14, 16],
[ 8, 2 ],
[ 9, 3 ],
[ 2, 3 ],
]
)
def get_smpl_joint_names():
return [
'hips', # 0
'leftUpLeg', # 1
'rightUpLeg', # 2
'spine', # 3
'leftLeg', # 4
'rightLeg', # 5
'spine1', # 6
'leftFoot', # 7
'rightFoot', # 8
'spine2', # 9
'leftToeBase', # 10
'rightToeBase', # 11
'neck', # 12
'leftShoulder', # 13
'rightShoulder', # 14
'head', # 15
'leftArm', # 16
'rightArm', # 17
'leftForeArm', # 18
'rightForeArm', # 19
'leftHand', # 20
'rightHand', # 21
'leftHandIndex1', # 22
'rightHandIndex1', # 23
]
def get_smpl_paper_joint_names():
return [
'Hips', # 0
'Left Hip', # 1
'Right Hip', # 2
'Spine', # 3
'Left Knee', # 4
'Right Knee', # 5
'Spine_1', # 6
'Left Ankle', # 7
'Right Ankle', # 8
'Spine_2', # 9
'Left Toe', # 10
'Right Toe', # 11
'Neck', # 12
'Left Shoulder', # 13
'Right Shoulder', # 14
'Head', # 15
'Left Arm', # 16
'Right Arm', # 17
'Left Elbow', # 18
'Right Elbow', # 19
'Left Hand', # 20
'Right Hand', # 21
'Left Thumb', # 22
'Right Thumb', # 23
]
def get_smpl_neighbor_triplets():
return [
[ 0, 1, 2 ], # 0
[ 1, 4, 0 ], # 1
[ 2, 0, 5 ], # 2
[ 3, 0, 6 ], # 3
[ 4, 7, 1 ], # 4
[ 5, 2, 8 ], # 5
[ 6, 3, 9 ], # 6
[ 7, 10, 4 ], # 7
[ 8, 5, 11], # 8
[ 9, 13, 14], # 9
[10, 7, 4 ], # 10
[11, 8, 5 ], # 11
[12, 9, 15], # 12
[13, 16, 9 ], # 13
[14, 9, 17], # 14
[15, 9, 12], # 15
[16, 18, 13], # 16
[17, 14, 19], # 17
[18, 20, 16], # 18
[19, 17, 21], # 19
[20, 22, 18], # 20
[21, 19, 23], # 21
[22, 20, 18], # 22
[23, 19, 21], # 23
]
def get_smpl_skeleton():
return np.array(
[
[ 0, 1 ],
[ 0, 2 ],
[ 0, 3 ],
[ 1, 4 ],
[ 2, 5 ],
[ 3, 6 ],
[ 4, 7 ],
[ 5, 8 ],
[ 6, 9 ],
[ 7, 10],
[ 8, 11],
[ 9, 12],
[ 9, 13],
[ 9, 14],
[12, 15],
[13, 16],
[14, 17],
[16, 18],
[17, 19],
[18, 20],
[19, 21],
[20, 22],
[21, 23],
]
)
def map_spin_joints_to_smpl():
# this function primarily will be used to copy 2D keypoint
# confidences to pose parameters
return [
[(39, 27, 28), 0], # hip,lhip,rhip->hips
[(28,), 1], # lhip->leftUpLeg
[(27,), 2], # rhip->rightUpLeg
[(41, 27, 28, 39), 3], # Spine->spine
[(29,), 4], # lknee->leftLeg
[(26,), 5], # rknee->rightLeg
[(41, 40, 33, 34,), 6], # spine, thorax ->spine1
[(30,), 7], # lankle->leftFoot
[(25,), 8], # rankle->rightFoot
[(40, 33, 34), 9], # thorax,shoulders->spine2
[(30,), 10], # lankle -> leftToe
[(25,), 11], # rankle -> rightToe
[(37, 42, 33, 34), 12], # neck, shoulders -> neck
[(34,), 13], # lshoulder->leftShoulder
[(33,), 14], # rshoulder->rightShoulder
[(33, 34, 38, 43, 44, 45, 46, 47, 48,), 15], # nose, eyes, ears, headtop, shoulders->head
[(34,), 16], # lshoulder->leftArm
[(33,), 17], # rshoulder->rightArm
[(35,), 18], # lelbow->leftForeArm
[(32,), 19], # relbow->rightForeArm
[(36,), 20], # lwrist->leftHand
[(31,), 21], # rwrist->rightHand
[(36,), 22], # lhand -> leftHandIndex
[(31,), 23], # rhand -> rightHandIndex
]
def map_smpl_to_common():
return [
[(11, 8), 0], # rightToe, rightFoot -> rankle
[(5,), 1], # rightleg -> rknee,
[(2,), 2], # rhip
[(1,), 3], # lhip
[(4,), 4], # leftLeg -> lknee
[(10, 7), 5], # lefttoe, leftfoot -> lankle
[(21, 23), 6], # rwrist
[(18,), 7], # relbow
[(17, 14), 8], # rshoulder
[(16, 13), 9], # lshoulder
[(19,), 10], # lelbow
[(20, 22), 11], # lwrist
[(0, 3, 6, 9, 12), 12], # neck
[(15,), 13], # headtop
]
def relation_among_spin_joints():
# this function primarily will be used to copy 2D keypoint
# confidences to 3D joints
return [
[(), 25],
[(), 26],
[(39,), 27],
[(39,), 28],
[(), 29],
[(), 30],
[(), 31],
[(), 32],
[(), 33],
[(), 34],
[(), 35],
[(), 36],
[(40,42,44,43,38,33,34,), 37],
[(43,44,45,46,47,48,33,34,), 38],
[(27,28,), 39],
[(27,28,37,41,42,), 40],
[(27,28,39,40,), 41],
[(37,38,44,45,46,47,48,), 42],
[(44,45,46,47,48,38,42,37,33,34,), 43],
[(44,45,46,47,48,38,42,37,33,34), 44],
[(44,45,46,47,48,38,42,37,33,34), 45],
[(44,45,46,47,48,38,42,37,33,34), 46],
[(44,45,46,47,48,38,42,37,33,34), 47],
[(44,45,46,47,48,38,42,37,33,34), 48],
]