dataset.py

import numpy as np

class Joint2String:

    # FLIC
    L_Shoulder  =   'l_shoulder'
    R_Shoulder  =   'r_shoulder'
    L_Elbow     =   'l_elbow'
    R_Elbow     =   'r_elbow'
    L_Wrist     =   'l_wrist'
    R_Wrist     =   'r_wrist'
    L_Hip       =   'l_hip'
    R_Hip       =   'r_hip'
    L_Knee      =   'l_knee'
    R_Knee      =   'r_knee'
    L_Ankle     =   'l_ankle'
    R_Ankle     =   'r_ankle'

    L_Eye       =   'l_eye'
    R_Eye       =   'r_eye'
    L_Ear       =   'l_ear'
    R_Ear       =   'r_ear'
    M_Nose      =   'm_nose'

    M_Shoulder  =   'm_shoulder'
    M_Hip       =   'm_hip'
    M_Ear       =   'm_ear'
    M_Torso     =   'm_torso'
    M_LUpperArm =   'm_l_upper_arm'
    M_RUpperArm =   'm_r_upper_arm'
    M_LLowerArm =   'm_l_lower_arm'
    M_RLowerArm =   'm_r_lower_arm'
    M_LUpperLeg =   'm_l_upper_leg'
    M_RUpperLeg =   'm_r_upper_leg'
    M_LLowerLeg =   'm_l_lower_leg'
    M_RLowerLeg =   'm_r_lower_leg'

    # MPII
    # M_Pelvis    =   M_Hip
    # M_Thorax    =   M_Torso
    M_UpperNeck =   'm_upper_neck'
    M_HeadTOP   =   'm_head_top'

FLIC.py

import scipy.io
import numpy as np

FLIC = scipy.io.loadmat('FLIC/examples.mat')
filepath_idx = 1
print(np.squeeze(np.squeeze(FLIC['examples']['filepath'])[filepath_idx]))
print(np.squeeze(np.squeeze(FLIC['examples']['imgdims'])[filepath_idx]))
print(np.squeeze(np.squeeze(FLIC['examples']['istrain'])[filepath_idx]))
coord = {'x': 0, 'y': 1}
print(np.squeeze(np.squeeze(np.squeeze(FLIC['examples'])[filepath_idx])['coords'])[coord['x']][7])