dataset_info = dict( dataset_name='campus', paper_info=dict( author='Belagiannis, Vasileios and Amin, Sikandar and Andriluka, ' 'Mykhaylo and Schiele, Bernt and Navab, Nassir and Ilic, Slobodan', title='3D Pictorial Structures for Multiple Human Pose Estimation', container='IEEE Computer Society Conference on Computer Vision and ' 'Pattern Recognition (CVPR)', year='2014', homepage='http://campar.in.tum.de/Chair/MultiHumanPose', ), keypoint_info={ 0: dict( name='right_ankle', id=0, color=[255, 128, 0], type='lower', swap='left_ankle'), 1: dict( name='right_knee', id=1, color=[255, 128, 0], type='lower', swap='left_knee'), 2: dict( name='right_hip', id=2, color=[255, 128, 0], type='lower', swap='left_hip'), 3: dict( name='left_hip', id=3, color=[0, 255, 0], type='lower', swap='right_hip'), 4: dict( name='left_knee', id=4, color=[0, 255, 0], type='lower', swap='right_knee'), 5: dict( name='left_ankle', id=5, color=[0, 255, 0], type='lower', swap='right_ankle'), 6: dict( name='right_wrist', id=6, color=[255, 128, 0], type='upper', swap='left_wrist'), 7: dict( name='right_elbow', id=7, color=[255, 128, 0], type='upper', swap='left_elbow'), 8: dict( name='right_shoulder', id=8, color=[255, 128, 0], type='upper', swap='left_shoulder'), 9: dict( name='left_shoulder', id=9, color=[0, 255, 0], type='upper', swap='right_shoulder'), 10: dict( name='left_elbow', id=10, color=[0, 255, 0], type='upper', swap='right_elbow'), 11: dict( name='left_wrist', id=11, color=[0, 255, 0], type='upper', swap='right_wrist'), 12: dict( name='bottom_head', id=12, color=[51, 153, 255], type='upper', swap=''), 13: dict( name='top_head', id=13, color=[51, 153, 255], type='upper', swap=''), }, skeleton_info={ 0: dict(link=('right_ankle', 'right_knee'), id=0, color=[255, 128, 0]), 1: dict(link=('right_knee', 'right_hip'), id=1, color=[255, 128, 0]), 2: dict(link=('left_hip', 'left_knee'), id=2, color=[0, 255, 0]), 3: dict(link=('left_knee', 'left_ankle'), id=3, color=[0, 255, 0]), 4: dict(link=('right_hip', 'left_hip'), id=4, color=[51, 153, 255]), 5: dict(link=('right_wrist', 'right_elbow'), id=5, color=[255, 128, 0]), 6: dict( link=('right_elbow', 'right_shoulder'), id=6, color=[255, 128, 0]), 7: dict(link=('left_shoulder', 'left_elbow'), id=7, color=[0, 255, 0]), 8: dict(link=('left_elbow', 'left_wrist'), id=8, color=[0, 255, 0]), 9: dict(link=('right_hip', 'right_shoulder'), id=9, color=[255, 128, 0]), 10: dict(link=('left_hip', 'left_shoulder'), id=10, color=[0, 255, 0]), 11: dict( link=('right_shoulder', 'bottom_head'), id=11, color=[255, 128, 0]), 12: dict(link=('left_shoulder', 'bottom_head'), id=12, color=[0, 255, 0]), 13: dict(link=('bottom_head', 'top_head'), id=13, color=[51, 153, 255]), }, joint_weights=[ 1.5, 1.2, 1.0, 1.0, 1.2, 1.5, 1.5, 1.2, 1.0, 1.0, 1.2, 1.5, 1.0, 1.0 ], sigmas=[ 0.089, 0.087, 0.107, 0.107, 0.087, 0.089, 0.062, 0.072, 0.079, 0.079, 0.072, 0.062, 0.026, 0.026 ])