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41 Open 11 Closed
41 Open 11 Closed
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Issues list

The download link for the pretrained model is no longer available.
#53 opened May 24, 2024 by nguyen-le-chuong
pre-training files for resnet38?
#52 opened Oct 26, 2022 by CVwbp
1
the predicted image is all black using trained model on VOC
#50 opened Jul 24, 2020 by czzerone
Training on VOC from Scratch
#49 opened Apr 11, 2019 by mcever
2
pre-trained model in ade20k
#48 opened Nov 7, 2018 by ghost
1
The parameter for training VOC 2012 dataset
#47 opened Oct 21, 2018 by DQDH
Where to get pretrained city scape model (cityscapes_rna-a1_cls19_s8_ep-0001.params)?
#46 opened Oct 18, 2018 by MontyTHall
4
multi-steps testing~
#45 opened May 22, 2018 by PkuRainBow
MxNet, Python, CUDA, CUDNN versions
#44 opened Feb 23, 2018 by kmul00
2
Experimental setting for training ADE20K?
#43 opened Jan 25, 2018 by wuzheng-sjtu
What's the difference of the model a2 and a
#42 opened Dec 9, 2017 by Yezipiaomu
Only got 76.90% over Pascal VOC2012 val set
#41 opened Nov 21, 2017 by buttomnutstoast
5
how to get coco20 png annotations
#40 opened Oct 11, 2017 by ArsenLuca
Training script for semantic segmentation VOC2012
#39 opened Sep 25, 2017 by ArsenLuca
1
How can I train a model with 2 classes?
#38 opened Sep 3, 2017 by isadoramsouza
Training command required to train semantic segmentation on cityscape dataset...
#37 opened Aug 24, 2017 by ChidanandKumarKS
Simple_bind error
#35 opened Aug 7, 2017 by JadenLy
3
define rn or rna
#31 opened Jul 5, 2017 by Liron-2
_get_scalemeanstd()
#30 opened Jun 27, 2017 by oneOfThePeople
my own data set
#29 opened Jun 15, 2017 by oneOfThePeople
8
Question on training process on CityScape dataset
#28 opened May 19, 2017 by Hustchenqi
1
MXNet error related to CUDA
#27 opened May 3, 2017 by suvam-bag
Compatibility with latest mxnet (0.9.3)
#26 opened Apr 28, 2017 by SoonminHwang
1
Get very low accuracy rates on cityscapes dataset
#25 opened Apr 18, 2017 by T800GHB
2
Where is download link?
#24 opened Apr 8, 2017 by T800GHB
9
ProTip! Exclude everything labeled bug with -label:bug.