dataset_info = dict( dataset_name='ap10k', paper_info=dict( author='Yu, Hang and Xu, Yufei and Zhang, Jing and ' 'Zhao, Wei and Guan, Ziyu and Tao, Dacheng', title='AP-10K: A Benchmark for Animal Pose Estimation in the Wild', container='35th Conference on Neural Information Processing Systems ' '(NeurIPS 2021) Track on Datasets and Bench-marks.', year='2021', homepage='https://github.com/AlexTheBad/AP-10K', ), keypoint_info={ 0: dict( name='L_Eye', id=0, color=[0, 255, 0], type='upper', swap='R_Eye'), 1: dict( name='R_Eye', id=1, color=[255, 128, 0], type='upper', swap='L_Eye'), 2: dict(name='Nose', id=2, color=[51, 153, 255], type='upper', swap=''), 3: dict(name='Neck', id=3, color=[51, 153, 255], type='upper', swap=''), 4: dict( name='Root of tail', id=4, color=[51, 153, 255], type='lower', swap=''), 5: dict( name='L_Shoulder', id=5, color=[51, 153, 255], type='upper', swap='R_Shoulder'), 6: dict( name='L_Elbow', id=6, color=[51, 153, 255], type='upper', swap='R_Elbow'), 7: dict( name='L_F_Paw', id=7, color=[0, 255, 0], type='upper', swap='R_F_Paw'), 8: dict( name='R_Shoulder', id=8, color=[0, 255, 0], type='upper', swap='L_Shoulder'), 9: dict( name='R_Elbow', id=9, color=[255, 128, 0], type='upper', swap='L_Elbow'), 10: dict( name='R_F_Paw', id=10, color=[0, 255, 0], type='lower', swap='L_F_Paw'), 11: dict( name='L_Hip', id=11, color=[255, 128, 0], type='lower', swap='R_Hip'), 12: dict( name='L_Knee', id=12, color=[255, 128, 0], type='lower', swap='R_Knee'), 13: dict( name='L_B_Paw', id=13, color=[0, 255, 0], type='lower', swap='R_B_Paw'), 14: dict( name='R_Hip', id=14, color=[0, 255, 0], type='lower', swap='L_Hip'), 15: dict( name='R_Knee', id=15, color=[0, 255, 0], type='lower', swap='L_Knee'), 16: dict( name='R_B_Paw', id=16, color=[0, 255, 0], type='lower', swap='L_B_Paw'), }, skeleton_info={ 0: dict(link=('L_Eye', 'R_Eye'), id=0, color=[0, 0, 255]), 1: dict(link=('L_Eye', 'Nose'), id=1, color=[0, 0, 255]), 2: dict(link=('R_Eye', 'Nose'), id=2, color=[0, 0, 255]), 3: dict(link=('Nose', 'Neck'), id=3, color=[0, 255, 0]), 4: dict(link=('Neck', 'Root of tail'), id=4, color=[0, 255, 0]), 5: dict(link=('Neck', 'L_Shoulder'), id=5, color=[0, 255, 255]), 6: dict(link=('L_Shoulder', 'L_Elbow'), id=6, color=[0, 255, 255]), 7: dict(link=('L_Elbow', 'L_F_Paw'), id=6, color=[0, 255, 255]), 8: dict(link=('Neck', 'R_Shoulder'), id=7, color=[6, 156, 250]), 9: dict(link=('R_Shoulder', 'R_Elbow'), id=8, color=[6, 156, 250]), 10: dict(link=('R_Elbow', 'R_F_Paw'), id=9, color=[6, 156, 250]), 11: dict(link=('Root of tail', 'L_Hip'), id=10, color=[0, 255, 255]), 12: dict(link=('L_Hip', 'L_Knee'), id=11, color=[0, 255, 255]), 13: dict(link=('L_Knee', 'L_B_Paw'), id=12, color=[0, 255, 255]), 14: dict(link=('Root of tail', 'R_Hip'), id=13, color=[6, 156, 250]), 15: dict(link=('R_Hip', 'R_Knee'), id=14, color=[6, 156, 250]), 16: dict(link=('R_Knee', 'R_B_Paw'), id=15, color=[6, 156, 250]), }, 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=[ 0.025, 0.025, 0.026, 0.035, 0.035, 0.079, 0.072, 0.062, 0.079, 0.072, 0.062, 0.107, 0.087, 0.089, 0.107, 0.087, 0.089 ])