achieved 79.11% mIoU with Resnet101 backbone

[Nadavc220]

First of all, thanks for creating this repo. It is very clear and easier to use than the original tensorflow model. I ran a few training experiments on VOC2012 and saw many people trying to train the network and achieve a good result as the uploaded checkpoints (78.43%). Like many I felt there is no clear answer for those of us who uses one gpu and have a memory problem using a batch size of 16. I wanted to share the script parameters to help other people in case they found it hard to train the network above 78%.

my mIoU maxed at 79.1% around epoch 45 with the following call: python train.py --backbone resnet --lr 0.0035 --workers 14 --epochs 50 --batch-size 8 --gpu-ids 0 --checkname deeplab-resnet --eval-interval 1 --dataset pascal

[goldhuang]

@Nadavc220 --workers 14, is it a typo?

[Nadavc220]

Weirdly enough this is not a typo. I did not intend to run so many workers at all but I guess I did it by mistake when I ran the script. There is no reason to use 14 workers.

[Nadavc220]

Yes I did. apart from the changes mentioned in the post everything was set as the default value.

On Sun, Jul 5, 2020 at 7:42 PM htwang14 [email protected] wrote:

Did you use SBD dataset to achieve this high mIoU?

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[htwang14]

Thanks!

[tiesanguaixia]

First of all, thanks for creating this repo. It is very clear and easier to use than the original tensorflow model. I ran a few training experiments on VOC2012 and saw many people trying to train the network and achieve a good result as the uploaded checkpoints (78.43%). Like many I felt there is no clear answer for those of us who uses one gpu and have a memory problem using a batch size of 16. I wanted to share the script parameters to help other people in case they found it hard to train the network above 78%.

my mIoU maxed at 79.1% around epoch 45 with the following call: python train.py --backbone resnet --lr 0.0035 --workers 14 --epochs 50 --batch-size 8 --gpu-ids 0 --checkname deeplab-resnet --eval-interval 1 --dataset pascal

excuse me, how to use the pascal 2012 dataset to train the model?