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‎README.md‎

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@@ -284,6 +284,7 @@ A summary can be found in the [Model Zoo](https://mmpose.readthedocs.io/en/lates
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- [x] [InterHand2.6M](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#interhand2-6m-eccv-2020) \[[homepage](https://mks0601.github.io/InterHand2.6M/)\] (ECCV'2020)
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- [x] [AP-10K](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#ap-10k-neurips-2021) \[[homepage](https://github.com/AlexTheBad/AP-10K)\] (NeurIPS'2021)
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- [x] [Horse-10](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#horse-10-wacv-2021) \[[homepage](http://www.mackenziemathislab.org/horse10)\] (WACV'2021)
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- [x] [Human-Art](#todo) \[[homepage](https://idea-research.github.io/HumanArt/)\] (CVPR'2023)
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</details>
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‎README_CN.md‎

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@@ -282,6 +282,7 @@ MMPose v1.0.0 是一个重大更新，包括了大量的 API 和配置文件的
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- [x] [InterHand2.6M](https://mmpose.readthedocs.io/zh_CN/latest/model_zoo_papers/datasets.html#interhand2-6m-eccv-2020) \[[主页](https://mks0601.github.io/InterHand2.6M/)\] (ECCV'2020)
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- [x] [AP-10K](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#ap-10k-neurips-2021) \[[主页](https://github.com/AlexTheBad/AP-10K)\] (NeurIPS'2021)
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- [x] [Horse-10](https://mmpose.readthedocs.io/zh_CN/latest/model_zoo_papers/datasets.html#horse-10-wacv-2021) \[[主页](http://www.mackenziemathislab.org/horse10)\] (WACV'2021)
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- [x] [Human-Art](#todo) \[[homepage](https://idea-research.github.io/HumanArt/)\] (CVPR'2023)
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</details>
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‎configs/_base_/datasets/humanart.py‎

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dataset_info = dict(
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dataset_name='Human-Art',
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paper_info=dict(
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author='Ju, Xuan and Zeng, Ailing and '
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'Wang, Jianan and Xu, Qiang and Zhang, Lei',
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title='Human-Art: A Versatile Human-Centric Dataset '
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'Bridging Natural and Artificial Scenes',
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container='Proceedings of the IEEE/CVF Conference on '
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'Computer Vision and Pattern Recognition',
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year='2023',
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homepage='https://idea-research.github.io/HumanArt/',
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),
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keypoint_info={
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0:
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dict(name='nose', id=0, color=[51, 153, 255], type='upper', swap=''),
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1:
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dict(
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name='left_eye',
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id=1,
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color=[51, 153, 255],
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type='upper',
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swap='right_eye'),
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2:
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dict(
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name='right_eye',
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id=2,
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color=[51, 153, 255],
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type='upper',
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swap='left_eye'),
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3:
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dict(
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name='left_ear',
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id=3,
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color=[51, 153, 255],
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type='upper',
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swap='right_ear'),
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4:
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dict(
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name='right_ear',
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id=4,
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color=[51, 153, 255],
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type='upper',
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swap='left_ear'),
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5:
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dict(
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name='left_shoulder',
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id=5,
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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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6:
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dict(
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name='right_shoulder',
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id=6,
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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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7:
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dict(
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name='left_elbow',
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id=7,
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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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8:
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dict(
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name='right_elbow',
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id=8,
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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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9:
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dict(
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name='left_wrist',
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id=9,
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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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10:
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dict(
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name='right_wrist',
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id=10,
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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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11:
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dict(
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name='left_hip',
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id=11,
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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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dict(
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name='right_hip',
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id=12,
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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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dict(
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name='left_knee',
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id=13,
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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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dict(
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name='right_knee',
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id=14,
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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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dict(
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name='left_ankle',
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id=15,
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color=[0, 255, 0],
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type='lower',
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swap='right_ankle'),
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dict(
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name='right_ankle',
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id=16,
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color=[255, 128, 0],
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type='lower',
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swap='left_ankle')
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},
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skeleton_info={
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0:
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dict(link=('left_ankle', 'left_knee'), id=0, color=[0, 255, 0]),
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1:
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dict(link=('left_knee', 'left_hip'), id=1, color=[0, 255, 0]),
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2:
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dict(link=('right_ankle', 'right_knee'), id=2, color=[255, 128, 0]),
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3:
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dict(link=('right_knee', 'right_hip'), id=3, color=[255, 128, 0]),
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4:
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dict(link=('left_hip', 'right_hip'), id=4, color=[51, 153, 255]),
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5:
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dict(link=('left_shoulder', 'left_hip'), id=5, color=[51, 153, 255]),
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6:
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dict(link=('right_shoulder', 'right_hip'), id=6, color=[51, 153, 255]),
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7:
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dict(
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link=('left_shoulder', 'right_shoulder'),
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id=7,
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color=[51, 153, 255]),
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8:
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dict(link=('left_shoulder', 'left_elbow'), id=8, color=[0, 255, 0]),
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9:
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dict(
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link=('right_shoulder', 'right_elbow'), id=9, color=[255, 128, 0]),
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10:
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dict(link=('left_elbow', 'left_wrist'), id=10, color=[0, 255, 0]),
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11:
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dict(link=('right_elbow', 'right_wrist'), id=11, color=[255, 128, 0]),
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12:
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dict(link=('left_eye', 'right_eye'), id=12, color=[51, 153, 255]),
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13:
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dict(link=('nose', 'left_eye'), id=13, color=[51, 153, 255]),
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14:
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dict(link=('nose', 'right_eye'), id=14, color=[51, 153, 255]),
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15:
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dict(link=('left_eye', 'left_ear'), id=15, color=[51, 153, 255]),
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16:
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dict(link=('right_eye', 'right_ear'), id=16, color=[51, 153, 255]),
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17:
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dict(link=('left_ear', 'left_shoulder'), id=17, color=[51, 153, 255]),
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18:
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dict(
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link=('right_ear', 'right_shoulder'), id=18, color=[51, 153, 255])
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},
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joint_weights=[
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1., 1., 1., 1., 1., 1., 1., 1.2, 1.2, 1.5, 1.5, 1., 1., 1.2, 1.2, 1.5,
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1.5
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],
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sigmas=[
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0.026, 0.025, 0.025, 0.035, 0.035, 0.079, 0.079, 0.072, 0.072, 0.062,
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0.062, 0.107, 0.107, 0.087, 0.087, 0.089, 0.089
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])

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