mirror of https://github.com/open-mmlab/mmpose
153 lines
4.5 KiB
Python
153 lines
4.5 KiB
Python
dataset_info = dict(
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dataset_name='h36m',
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paper_info=dict(
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author='Ionescu, Catalin and Papava, Dragos and '
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'Olaru, Vlad and Sminchisescu, Cristian',
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title='Human3.6M: Large Scale Datasets and Predictive '
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'Methods for 3D Human Sensing in Natural Environments',
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container='IEEE Transactions on Pattern Analysis and '
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'Machine Intelligence',
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year='2014',
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homepage='http://vision.imar.ro/human3.6m/description.php',
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),
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keypoint_info={
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0:
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dict(name='root', id=0, color=[51, 153, 255], type='lower', swap=''),
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1:
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dict(
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name='right_hip',
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id=1,
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color=[255, 128, 0],
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type='lower',
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swap='left_hip'),
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2:
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dict(
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name='right_knee',
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id=2,
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color=[255, 128, 0],
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type='lower',
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swap='left_knee'),
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3:
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dict(
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name='right_foot',
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id=3,
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color=[255, 128, 0],
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type='lower',
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swap='left_foot'),
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4:
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dict(
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name='left_hip',
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id=4,
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color=[0, 255, 0],
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type='lower',
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swap='right_hip'),
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5:
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dict(
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name='left_knee',
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id=5,
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color=[0, 255, 0],
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type='lower',
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swap='right_knee'),
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6:
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dict(
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name='left_foot',
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id=6,
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color=[0, 255, 0],
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type='lower',
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swap='right_foot'),
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7:
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dict(name='spine', id=7, color=[51, 153, 255], type='upper', swap=''),
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8:
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dict(name='thorax', id=8, color=[51, 153, 255], type='upper', swap=''),
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9:
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dict(
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name='neck_base',
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id=9,
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color=[51, 153, 255],
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type='upper',
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swap=''),
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10:
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dict(name='head', id=10, color=[51, 153, 255], type='upper', swap=''),
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11:
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dict(
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name='left_shoulder',
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id=11,
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color=[0, 255, 0],
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type='upper',
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swap='right_shoulder'),
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12:
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dict(
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name='left_elbow',
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id=12,
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color=[0, 255, 0],
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type='upper',
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swap='right_elbow'),
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13:
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dict(
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name='left_wrist',
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id=13,
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color=[0, 255, 0],
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type='upper',
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swap='right_wrist'),
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14:
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dict(
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name='right_shoulder',
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id=14,
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color=[255, 128, 0],
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type='upper',
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swap='left_shoulder'),
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15:
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dict(
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name='right_elbow',
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id=15,
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color=[255, 128, 0],
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type='upper',
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swap='left_elbow'),
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16:
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dict(
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name='right_wrist',
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id=16,
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color=[255, 128, 0],
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type='upper',
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swap='left_wrist')
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},
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skeleton_info={
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0:
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dict(link=('root', 'left_hip'), id=0, color=[0, 255, 0]),
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1:
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dict(link=('left_hip', 'left_knee'), id=1, color=[0, 255, 0]),
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2:
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dict(link=('left_knee', 'left_foot'), id=2, color=[0, 255, 0]),
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3:
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dict(link=('root', 'right_hip'), id=3, color=[255, 128, 0]),
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4:
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dict(link=('right_hip', 'right_knee'), id=4, color=[255, 128, 0]),
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5:
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dict(link=('right_knee', 'right_foot'), id=5, color=[255, 128, 0]),
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6:
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dict(link=('root', 'spine'), id=6, color=[51, 153, 255]),
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7:
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dict(link=('spine', 'thorax'), id=7, color=[51, 153, 255]),
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8:
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dict(link=('thorax', 'neck_base'), id=8, color=[51, 153, 255]),
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9:
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dict(link=('neck_base', 'head'), id=9, color=[51, 153, 255]),
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10:
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dict(link=('thorax', 'left_shoulder'), id=10, color=[0, 255, 0]),
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11:
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dict(link=('left_shoulder', 'left_elbow'), id=11, color=[0, 255, 0]),
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12:
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dict(link=('left_elbow', 'left_wrist'), id=12, color=[0, 255, 0]),
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13:
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dict(link=('thorax', 'right_shoulder'), id=13, color=[255, 128, 0]),
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14:
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dict(
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link=('right_shoulder', 'right_elbow'), id=14, color=[255, 128,
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0]),
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15:
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dict(link=('right_elbow', 'right_wrist'), id=15, color=[255, 128, 0])
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},
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joint_weights=[1.] * 17,
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sigmas=[],
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stats_info=dict(bbox_center=(528., 427.), bbox_scale=400.))
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