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26 Open 7 Closed
26 Open 7 Closed
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Issues list

I am not getting the dataset of this program, can you please send me the dataset particular to this project
#33 opened Mar 9, 2021 by smita29061991
Weight Sharing Setting when training the model
#32 opened Oct 15, 2020 by leviethung2103
决定不引用这类论文，不是想黑：想不明白，公开得差不多了，为啥训练好的模型和评估函数都不放进去，方便比较？
#31 opened Dec 20, 2019 by liuchanfeng165
Testing my own images
#30 opened Dec 5, 2019 by ZamSul
Ask for trained model
#28 opened Sep 30, 2019 by hh23333
is there pytorch version,can you share it
#27 opened Sep 24, 2019 by upgirlnana
1
how to train the model,the details about training process . Reid model and segment model trained sparately?
#26 opened Sep 24, 2019 by upgirlnana
The pretrained for human sematic parsing
#25 opened Sep 16, 2019 by qqqlz
4
environment set
#24 opened Jun 30, 2019 by lyt20181102
2
The parts of human semantic parsing
#20 opened Mar 15, 2019 by xiaoweihappy123
1
Much Lower Result & GPU Problem
#19 opened Feb 10, 2019 by wuxifang1994
7
weight shareing
#18 opened Dec 10, 2018 by DRACOyu
3
Trying to reproduce human Semantic Parsing in pytorch
#16 opened Oct 17, 2018 by TJJTJJTJJ
4
train: path of model
#15 opened Oct 12, 2018 by ping-sun
1
Dataset path
#14 opened Oct 4, 2018 by SeunghoChae
1
LIP30000.model
#13 opened Sep 25, 2018 by TJJTJJTJJ
1
Table4
#12 opened Sep 4, 2018 by TJJTJJTJJ
2
'map' object is not subscriptable
#11 opened Sep 3, 2018 by TJJTJJTJJ
2
reproduce results for cuhk03
#10 opened Sep 3, 2018 by af00731
6
dataset
#9 opened Sep 3, 2018 by TJJTJJTJJ
7
about the accuracy with pure segmentation branch and no further finetuning question Further information is requested
#8 opened Aug 18, 2018 by mati1994
@MahdiKalayeh
7
datasets
#7 opened Aug 13, 2018 by hacker-wei
3
I'm new of this chainer,Is problem my vision of python or any other problem ?I doon't know what should i do ?could you help me ?
#6 opened Aug 10, 2018 by hacker-wei
2
map
#4 opened Jul 21, 2018 by kunfei1
8
freature campare question Further information is requested
#3 opened Jul 19, 2018 by kunfei1
@emrahbasaran
3
ProTip! Exclude everything labeled bug with -label:bug.