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on
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Running
on
L40S
File size: 4,341 Bytes
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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
])
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