dataset_info = dict( dataset_name='coco_openpose', paper_info=dict( author='Zhe, Cao and Tomas, Simon and ' 'Shih-En, Wei and Yaser, Sheikh', title='OpenPose: Realtime Multi-Person 2D Pose ' 'Estimation using Part Affinity Fields', container='IEEE Transactions on Pattern Analysis ' 'and Machine Intelligence', year='2019', homepage='https://github.com/CMU-Perceptual-Computing-Lab/openpose/', ), keypoint_info={ 0: dict(name='nose', id=0, color=[255, 0, 85], type='upper', swap=''), 1: dict(name='neck', id=1, color=[255, 0, 0], type='upper', swap=''), 2: dict( name='right_shoulder', id=2, color=[255, 85, 0], type='upper', swap='left_shoulder'), 3: dict( name='right_elbow', id=3, color=[255, 170, 0], type='upper', swap='left_elbow'), 4: dict( name='right_wrist', id=4, color=[255, 255, 0], type='upper', swap='left_wrist'), 5: dict( name='left_shoulder', id=5, color=[170, 255, 0], type='upper', swap='right_shoulder'), 6: dict( name='left_elbow', id=6, color=[85, 255, 0], type='upper', swap='right_elbow'), 7: dict( name='left_wrist', id=7, color=[0, 255, 0], type='upper', swap='right_wrist'), 8: dict( name='right_hip', id=8, color=[255, 0, 170], type='lower', swap='left_hip'), 9: dict( name='right_knee', id=9, color=[255, 0, 255], type='lower', swap='left_knee'), 10: dict( name='right_ankle', id=10, color=[170, 0, 255], type='lower', swap='left_ankle'), 11: dict( name='left_hip', id=11, color=[85, 255, 0], type='lower', swap='right_hip'), 12: dict( name='left_knee', id=12, color=[0, 0, 255], type='lower', swap='right_knee'), 13: dict( name='left_ankle', id=13, color=[0, 85, 255], type='lower', swap='right_ankle'), 14: dict( name='right_eye', id=14, color=[0, 255, 170], type='upper', swap='left_eye'), 15: dict( name='left_eye', id=15, color=[0, 255, 255], type='upper', swap='right_eye'), 16: dict( name='right_ear', id=16, color=[0, 170, 255], type='upper', swap='left_ear'), 17: dict( name='left_ear', id=17, color=[0, 170, 255], type='upper', swap='right_ear'), }, skeleton_info={ 0: dict(link=('neck', 'right_shoulder'), id=0, color=[255, 0, 85]), 1: dict(link=('neck', 'left_shoulder'), id=1, color=[255, 0, 0]), 2: dict(link=('right_shoulder', 'right_elbow'), id=2, color=[255, 85, 0]), 3: dict(link=('right_elbow', 'right_wrist'), id=3, color=[255, 170, 0]), 4: dict(link=('left_shoulder', 'left_elbow'), id=4, color=[255, 255, 0]), 5: dict(link=('left_elbow', 'left_wrist'), id=5, color=[170, 255, 0]), 6: dict(link=('neck', 'right_hip'), id=6, color=[85, 255, 0]), 7: dict(link=('right_hip', 'right_knee'), id=7, color=[0, 255, 0]), 8: dict(link=('right_knee', 'right_ankle'), id=8, color=[0, 255, 85]), 9: dict(link=('neck', 'left_hip'), id=9, color=[0, 255, 170]), 10: dict(link=('left_hip', 'left_knee'), id=10, color=[0, 255, 225]), 11: dict(link=('left_knee', 'left_ankle'), id=11, color=[0, 170, 255]), 12: dict(link=('neck', 'nose'), id=12, color=[0, 85, 255]), 13: dict(link=('nose', 'right_eye'), id=13, color=[0, 0, 255]), 14: dict(link=('right_eye', 'right_ear'), id=14, color=[255, 0, 170]), 15: dict(link=('nose', 'left_eye'), id=15, color=[170, 0, 255]), 16: dict(link=('left_eye', 'left_ear'), id=16, color=[255, 0, 255]), }, joint_weights=[1.] * 18, 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, 0.082 ])