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27 Open 7 Closed
27 Open 7 Closed
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Issues list

Is there any code to distinguish foreground and background images?
#34 opened May 18, 2022 by yuanyuan29
error：‘Can not pickle local object 'get_loader,<locals>.<lambda>'’
#33 opened Oct 30, 2020 by 18718277909
1
How to save the output results on test image?
#32 opened Feb 6, 2020 by fu123456
如何测试自己的图片
#31 opened Nov 29, 2019 by tuqiangwang
关于backbone
#30 opened Nov 28, 2019 by tuqiangwang
请教一下怎么生成salmap，而不是mae的数据？
#28 opened Jun 26, 2019 by GewelsJI
The best result
#27 opened May 12, 2019 by zhaowangbo
your solver.py self.beat maybe have some problem
#26 opened Apr 18, 2019 by silencedog
1
the dssnet.py
#25 opened Mar 30, 2019 by yuhaoliu7456
1
Hi,I have some problems about solver.py
#24 opened Mar 24, 2019 by silencedog
1
I have some problems about dataset.py
#23 opened Mar 22, 2019 by panmyuan
3
I have some problem about solver.py
#22 opened Mar 21, 2019 by silencedog
4
a problem running the code
#21 opened Mar 18, 2019 by panmyuan
4
how to get MSRA-B file construction?
#20 opened Mar 17, 2019 by panmyuan
2
CRF implementation
#19 opened Feb 27, 2019 by SayantiBardhan
FileNotFoundError: [Errno 2] No such file or directory:
#17 opened Feb 25, 2019 by skysunsun
1
pretrained model
#16 opened Jan 5, 2019 by SayantiBardhan
1
load vgg weight error
#15 opened Dec 8, 2018 by i4yyds
3
tensorflow code
#14 opened Nov 20, 2018 by ghost
During handling of the above exception, another exception occurred:
#11 opened Oct 28, 2018 by ghost
8
--- test_cvpr2013.txt --- train_cvpr2013.txt --- valid_cvpr2013.txt --- test_cvpr2013_debug.txt --- train_cvpr2013_debug.txt --- valid_cvpr2013_debug.txt
#9 opened Oct 28, 2018 by ghost
7
I cannot reproduce the best result of Dss v2
#8 opened Oct 20, 2018 by Sucran
4
How I can get the split txts of MSRA-B dataset?
#7 opened Oct 18, 2018 by ArsenLuca
5
boundary noise
#6 opened Sep 17, 2018 by GuideWsp
1
RuntimeError: DataLoader worker (pid 16126) exited unexpectedly with exit code 1
#5 opened Jul 24, 2018 by Kyle0936
2
ProTip! Adding no:label will show everything without a label.