dataset_info = dict( dataset_name='ochuman', paper_info=dict( author='Zhang, Song-Hai and Li, Ruilong and Dong, Xin and ' 'Rosin, Paul and Cai, Zixi and Han, Xi and ' 'Yang, Dingcheng and Huang, Haozhi and Hu, Shi-Min', title='Pose2seg: Detection free human instance segmentation', container='Proceedings of the IEEE conference on computer ' 'vision and pattern recognition', year='2019', homepage='https://github.com/liruilong940607/OCHumanApi', ), keypoint_info={ 0: dict(name='nose', id=0, color=[51, 153, 255], type='upper', swap=''), 1: dict( name='left_eye', id=1, color=[51, 153, 255], type='upper', swap='right_eye'), 2: dict( name='right_eye', id=2, color=[51, 153, 255], type='upper', swap='left_eye'), 3: dict( name='left_ear', id=3, color=[51, 153, 255], type='upper', swap='right_ear'), 4: dict( name='right_ear', id=4, color=[51, 153, 255], type='upper', swap='left_ear'), 5: dict( name='left_shoulder', id=5, color=[0, 255, 0], type='upper', swap='right_shoulder'), 6: dict( name='right_shoulder', id=6, color=[255, 128, 0], type='upper', swap='left_shoulder'), 7: dict( name='left_elbow', id=7, color=[0, 255, 0], type='upper', swap='right_elbow'), 8: dict( name='right_elbow', id=8, color=[255, 128, 0], type='upper', swap='left_elbow'), 9: dict( name='left_wrist', id=9, color=[0, 255, 0], type='upper', swap='right_wrist'), 10: dict( name='right_wrist', id=10, color=[255, 128, 0], type='upper', swap='left_wrist'), 11: dict( name='left_hip', id=11, color=[0, 255, 0], type='lower', swap='right_hip'), 12: dict( name='right_hip', id=12, color=[255, 128, 0], type='lower', swap='left_hip'), 13: dict( name='left_knee', id=13, color=[0, 255, 0], type='lower', swap='right_knee'), 14: dict( name='right_knee', id=14, color=[255, 128, 0], type='lower', swap='left_knee'), 15: dict( name='left_ankle', id=15, color=[0, 255, 0], type='lower', swap='right_ankle'), 16: dict( name='right_ankle', id=16, color=[255, 128, 0], type='lower', swap='left_ankle') }, skeleton_info={ 0: dict(link=('left_ankle', 'left_knee'), id=0, color=[0, 255, 0]), 1: dict(link=('left_knee', 'left_hip'), id=1, color=[0, 255, 0]), 2: dict(link=('right_ankle', 'right_knee'), id=2, color=[255, 128, 0]), 3: dict(link=('right_knee', 'right_hip'), id=3, color=[255, 128, 0]), 4: dict(link=('left_hip', 'right_hip'), id=4, color=[51, 153, 255]), 5: dict(link=('left_shoulder', 'left_hip'), id=5, color=[51, 153, 255]), 6: dict(link=('right_shoulder', 'right_hip'), id=6, color=[51, 153, 255]), 7: dict( link=('left_shoulder', 'right_shoulder'), id=7, color=[51, 153, 255]), 8: dict(link=('left_shoulder', 'left_elbow'), id=8, color=[0, 255, 0]), 9: dict( link=('right_shoulder', 'right_elbow'), id=9, color=[255, 128, 0]), 10: dict(link=('left_elbow', 'left_wrist'), id=10, color=[0, 255, 0]), 11: dict(link=('right_elbow', 'right_wrist'), id=11, color=[255, 128, 0]), 12: dict(link=('left_eye', 'right_eye'), id=12, color=[51, 153, 255]), 13: dict(link=('nose', 'left_eye'), id=13, color=[51, 153, 255]), 14: dict(link=('nose', 'right_eye'), id=14, color=[51, 153, 255]), 15: dict(link=('left_eye', 'left_ear'), id=15, color=[51, 153, 255]), 16: dict(link=('right_eye', 'right_ear'), id=16, color=[51, 153, 255]), 17: dict(link=('left_ear', 'left_shoulder'), id=17, color=[51, 153, 255]), 18: dict( link=('right_ear', 'right_shoulder'), id=18, color=[51, 153, 255]) }, joint_weights=[ 1., 1., 1., 1., 1., 1., 1., 1.2, 1.2, 1.5, 1.5, 1., 1., 1.2, 1.2, 1.5, 1.5 ], sigmas=[ 0.026, 0.025, 0.025, 0.035, 0.035, 0.079, 0.079, 0.072, 0.072, 0.062, 0.062, 0.107, 0.107, 0.087, 0.087, 0.089, 0.089 ])