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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
])