constants.py

# 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]

FOCAL_LENGTH = 5000.
IMG_RES = 224

# 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]

# 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]

# 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_NAMES = [
# 25 OpenPose joints (in the order provided by OpenPose)
'OP Nose',
'OP Neck',
'OP RShoulder',
'OP RElbow',
'OP RWrist',
'OP LShoulder',
'OP LElbow',
'OP LWrist',
'OP MidHip',
'OP RHip',
'OP RKnee',
'OP RAnkle',
'OP LHip',
'OP LKnee',
'OP LAnkle',
'OP REye',
'OP LEye',
'OP REar',
'OP LEar',
'OP LBigToe',
'OP LSmallToe',
'OP LHeel',
'OP RBigToe',
'OP RSmallToe',
'OP RHeel',
# 24 Ground Truth joints (superset of joints from different datasets)
'Right Ankle',      # 25, 0
'Right Knee',       # 26, 1
'Right Hip',        # 27, 2
'Left Hip',         # 28, 3
'Left Knee',        # 29, 4
'Left Ankle',       # 30, 5
'Right Wrist',      # 31, 6
'Right Elbow',      # 32, 7
'Right Shoulder',   # 33, 8
'Left Shoulder',    # 34, 9
'Left Elbow',       # 35, 10
'Left Wrist',       # 36, 11
'Neck (LSP)',       # 37, 12 ###
'Top of Head (LSP)',# 38, 13
'Pelvis (MPII)',    # 39, 14 #
'Thorax (MPII)',    # 40, 15
'Spine (H36M)',     # 41, 16 #
'Jaw (H36M)',       # 42, 17 #
'Head (H36M)',      # 43, 18 #
'Nose',             # 44, 19
'Left Eye',         # 45, 20
'Right Eye',        # 46, 21
'Left Ear',         # 47, 22
'Right Ear'         # 48, 23
]

pw3d_annot_names = [
    'downtown_runForBus_00',
    'downtown_rampAndStairs_00',
    'flat_packBags_00',
    'downtown_runForBus_01',
    'office_phoneCall_00', 
    'downtown_windowShopping_00',
    'downtown_walkUphill_00', 
    'downtown_sitOnStairs_00', 
    'downtown_enterShop_00', 
    'downtown_walking_00', 
    'downtown_stairs_00', 
    'downtown_crossStreets_00', 
    'downtown_car_00', 
    'downtown_downstairs_00', 
    'downtown_bar_00', 
    'downtown_walkBridge_01', 
    'downtown_weeklyMarket_00', 
    'downtown_warmWelcome_00', 
    'downtown_arguing_00', 
    'downtown_upstairs_00', 
    'downtown_bus_00', 
    'flat_guitar_01', 
    'downtown_cafe_00', 
    'outdoors_fencing_01'
    ]