SMPLer-X / main /_base_ /datasets /deepfashion_upper.py
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dataset_info = dict(
dataset_name='deepfashion_upper',
paper_info=dict(
author='Liu, Ziwei and Luo, Ping and Qiu, Shi '
'and Wang, Xiaogang and Tang, Xiaoou',
title='DeepFashion: Powering Robust Clothes Recognition '
'and Retrieval with Rich Annotations',
container='Proceedings of IEEE Conference on Computer '
'Vision and Pattern Recognition (CVPR)',
year='2016',
homepage='http://mmlab.ie.cuhk.edu.hk/projects/'
'DeepFashion/LandmarkDetection.html',
),
keypoint_info={
0:
dict(
name='left collar',
id=0,
color=[255, 255, 255],
type='',
swap='right collar'),
1:
dict(
name='right collar',
id=1,
color=[255, 255, 255],
type='',
swap='left collar'),
2:
dict(
name='left sleeve',
id=2,
color=[255, 255, 255],
type='',
swap='right sleeve'),
3:
dict(
name='right sleeve',
id=3,
color=[255, 255, 255],
type='',
swap='left sleeve'),
4:
dict(
name='left hem',
id=4,
color=[255, 255, 255],
type='',
swap='right hem'),
5:
dict(
name='right hem',
id=5,
color=[255, 255, 255],
type='',
swap='left hem'),
},
skeleton_info={},
joint_weights=[1.] * 6,
sigmas=[])