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FOCAL_LENGTH = 5000. | |
# Mean and standard deviation for normalizing input image | |
IMG_NORM_MEAN = [0.485, 0.456, 0.406] | |
IMG_NORM_STD = [0.229, 0.224, 0.225] | |
""" | |
We create a superset of joints containing the OpenPose joints together with the ones that each dataset provides. | |
We keep a superset of 24 joints such that we include all joints from every dataset. | |
If a dataset doesn't provide annotations for a specific joint, we simply ignore it. | |
The joints used here are the following: | |
""" | |
JOINT_NAMES = [ | |
'OP Nose', 'OP Neck', 'OP RShoulder', #0,1,2 | |
'OP RElbow', 'OP RWrist', 'OP LShoulder', #3,4,5 | |
'OP LElbow', 'OP LWrist', 'OP MidHip', #6, 7,8 | |
'OP RHip', 'OP RKnee', 'OP RAnkle', #9,10,11 | |
'OP LHip', 'OP LKnee', 'OP LAnkle', #12,13,14 | |
'OP REye', 'OP LEye', 'OP REar', #15,16,17 | |
'OP LEar', 'OP LBigToe', 'OP LSmallToe', #18,19,20 | |
'OP LHeel', 'OP RBigToe', 'OP RSmallToe', 'OP RHeel', #21, 22, 23, 24 ##Total 25 joints for openpose | |
'Right Ankle', 'Right Knee', 'Right Hip', #0,1,2 | |
'Left Hip', 'Left Knee', 'Left Ankle', #3, 4, 5 | |
'Right Wrist', 'Right Elbow', 'Right Shoulder', #6 | |
'Left Shoulder', 'Left Elbow', 'Left Wrist', #9 | |
'Neck (LSP)', 'Top of Head (LSP)', #12, 13 | |
'Pelvis (MPII)', 'Thorax (MPII)', #14, 15 | |
'Spine (H36M)', 'Jaw (H36M)', #16, 17 | |
'Head (H36M)', 'Nose', 'Left Eye', #18, 19, 20 | |
'Right Eye', 'Left Ear', 'Right Ear' #21,22,23 (Total 24 joints) | |
] | |
# Dict containing the joints in numerical order | |
JOINT_IDS = {JOINT_NAMES[i]: i for i in range(len(JOINT_NAMES))} | |
# Map joints to SMPL joints | |
JOINT_MAP = { | |
'OP Nose': 24, 'OP Neck': 12, 'OP RShoulder': 17, | |
'OP RElbow': 19, 'OP RWrist': 21, 'OP LShoulder': 16, | |
'OP LElbow': 18, 'OP LWrist': 20, 'OP MidHip': 0, | |
'OP RHip': 2, 'OP RKnee': 5, 'OP RAnkle': 8, | |
'OP LHip': 1, 'OP LKnee': 4, 'OP LAnkle': 7, | |
'OP REye': 25, 'OP LEye': 26, 'OP REar': 27, | |
'OP LEar': 28, 'OP LBigToe': 29, 'OP LSmallToe': 30, | |
'OP LHeel': 31, 'OP RBigToe': 32, 'OP RSmallToe': 33, 'OP RHeel': 34, | |
'Right Ankle': 8, 'Right Knee': 5, 'Right Hip': 45, | |
'Left Hip': 46, 'Left Knee': 4, 'Left Ankle': 7, | |
'Right Wrist': 21, 'Right Elbow': 19, 'Right Shoulder': 17, | |
'Left Shoulder': 16, 'Left Elbow': 18, 'Left Wrist': 20, | |
'Neck (LSP)': 47, 'Top of Head (LSP)': 48, | |
'Pelvis (MPII)': 49, 'Thorax (MPII)': 50, | |
'Spine (H36M)': 51, 'Jaw (H36M)': 52, | |
'Head (H36M)': 53, 'Nose': 24, 'Left Eye': 26, | |
'Right Eye': 25, 'Left Ear': 28, 'Right Ear': 27 | |
} | |
# Joint selectors | |
# Indices to get the 14 LSP joints from the 17 H36M joints | |
H36M_TO_J17 = [6, 5, 4, 1, 2, 3, 16, 15, 14, 11, 12, 13, 8, 10, 0, 7, 9] | |
H36M_TO_J14 = H36M_TO_J17[:14] | |
# Indices to get the 14 LSP joints from the ground truth joints | |
J24_TO_J17 = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 14, 16, 17] | |
J24_TO_J14 = J24_TO_J17[:14] | |
# Permutation of SMPL pose parameters when flipping the shape | |
SMPL_JOINTS_FLIP_PERM = [0, 2, 1, 3, 5, 4, 6, 8, 7, 9, 11, 10, 12, 14, 13, 15, 17, 16, 19, 18, 21, 20, 23, 22] | |
SMPL_POSE_FLIP_PERM = [] | |
for i in SMPL_JOINTS_FLIP_PERM: | |
SMPL_POSE_FLIP_PERM.append(3*i) | |
SMPL_POSE_FLIP_PERM.append(3*i+1) | |
SMPL_POSE_FLIP_PERM.append(3*i+2) | |
# Permutation indices for the 24 ground truth joints | |
J24_FLIP_PERM = [5, 4, 3, 2, 1, 0, 11, 10, 9, 8, 7, 6, 12, 13, 14, 15, 16, 17, 18, 19, 21, 20, 23, 22] | |
# Permutation indices for the full set of 49 joints | |
J49_FLIP_PERM = [0, 1, 5, 6, 7, 2, 3, 4, 8, 12, 13, 14, 9, 10, 11, 16, 15, 18, 17, 22, 23, 24, 19, 20, 21]\ | |
+ [25+i for i in J24_FLIP_PERM] | |