dataset_info = dict( dataset_name='crowdpose', paper_info=dict( author='Li, Jiefeng and Wang, Can and Zhu, Hao and ' 'Mao, Yihuan and Fang, Hao-Shu and Lu, Cewu', title='CrowdPose: Efficient Crowded Scenes Pose Estimation ' 'and A New Benchmark', container='Proceedings of IEEE Conference on Computer ' 'Vision and Pattern Recognition (CVPR)', year='2019', homepage='https://github.com/Jeff-sjtu/CrowdPose', ), keypoint_info={ 0: dict( name='left_shoulder', id=0, color=[51, 153, 255], type='upper', swap='right_shoulder'), 1: dict( name='right_shoulder', id=1, color=[51, 153, 255], type='upper', swap='left_shoulder'), 2: dict( name='left_elbow', id=2, color=[51, 153, 255], type='upper', swap='right_elbow'), 3: dict( name='right_elbow', id=3, color=[51, 153, 255], type='upper', swap='left_elbow'), 4: dict( name='left_wrist', id=4, color=[51, 153, 255], type='upper', swap='right_wrist'), 5: dict( name='right_wrist', id=5, color=[0, 255, 0], type='upper', swap='left_wrist'), 6: dict( name='left_hip', id=6, color=[255, 128, 0], type='lower', swap='right_hip'), 7: dict( name='right_hip', id=7, color=[0, 255, 0], type='lower', swap='left_hip'), 8: dict( name='left_knee', id=8, color=[255, 128, 0], type='lower', swap='right_knee'), 9: dict( name='right_knee', id=9, color=[0, 255, 0], type='lower', swap='left_knee'), 10: dict( name='left_ankle', id=10, color=[255, 128, 0], type='lower', swap='right_ankle'), 11: dict( name='right_ankle', id=11, color=[0, 255, 0], type='lower', swap='left_ankle'), 12: dict( name='top_head', id=12, color=[255, 128, 0], type='upper', swap=''), 13: dict(name='neck', id=13, color=[0, 255, 0], type='upper', swap='') }, 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=('top_head', 'neck'), id=12, color=[51, 153, 255]), 13: dict(link=('right_shoulder', 'neck'), id=13, color=[51, 153, 255]), 14: dict(link=('left_shoulder', 'neck'), id=14, color=[51, 153, 255]) }, joint_weights=[ 0.2, 0.2, 0.2, 1.3, 1.5, 0.2, 1.3, 1.5, 0.2, 0.2, 0.5, 0.2, 0.2, 0.5 ], sigmas=[ 0.079, 0.079, 0.072, 0.072, 0.062, 0.062, 0.107, 0.107, 0.087, 0.087, 0.089, 0.089, 0.079, 0.079 ])