mirror of https://github.com/open-mmlab/mmpose
75 lines
1.9 KiB
Python
75 lines
1.9 KiB
Python
dataset_info = dict(
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dataset_name='deepfashion_full',
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paper_info=dict(
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author='Liu, Ziwei and Luo, Ping and Qiu, Shi '
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'and Wang, Xiaogang and Tang, Xiaoou',
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title='DeepFashion: Powering Robust Clothes Recognition '
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'and Retrieval with Rich Annotations',
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container='Proceedings of IEEE Conference on Computer '
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'Vision and Pattern Recognition (CVPR)',
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year='2016',
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homepage='http://mmlab.ie.cuhk.edu.hk/projects/'
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'DeepFashion/LandmarkDetection.html',
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),
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keypoint_info={
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0:
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dict(
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name='left collar',
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id=0,
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color=[255, 255, 255],
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type='',
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swap='right collar'),
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1:
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dict(
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name='right collar',
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id=1,
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color=[255, 255, 255],
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type='',
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swap='left collar'),
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2:
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dict(
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name='left sleeve',
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id=2,
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color=[255, 255, 255],
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type='',
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swap='right sleeve'),
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3:
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dict(
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name='right sleeve',
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id=3,
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color=[255, 255, 255],
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type='',
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swap='left sleeve'),
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4:
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dict(
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name='left waistline',
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id=0,
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color=[255, 255, 255],
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type='',
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swap='right waistline'),
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5:
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dict(
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name='right waistline',
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id=1,
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color=[255, 255, 255],
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type='',
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swap='left waistline'),
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6:
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dict(
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name='left hem',
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id=2,
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color=[255, 255, 255],
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type='',
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swap='right hem'),
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7:
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dict(
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name='right hem',
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id=3,
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color=[255, 255, 255],
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type='',
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swap='left hem'),
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},
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skeleton_info={},
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joint_weights=[1.] * 8,
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sigmas=[])
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