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Published 20 hours ago • verified publisher icon zh320

MIoU is less

Open chris2000520 opened this issue 1 year ago • 6 comments
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Why is the miou of each of my models 10% less than the table? I ran 200 rounds of training.

chris2000520 avatar May 07 '24 05:05 chris2000520

Hi, Chris. Please share the configs for your experiments.

zh320 avatar May 07 '24 13:05 zh320

Hi, Chris. Please share the configs for your experiments.

I used the same configs as you. I ran 200 rounds of epochs on BiseNetv2, but the best miou is 68.65%. The GPU is RTX 2080 Ti. There are some pictures about my result. miou loss

chris2000520 avatar May 08 '24 04:05 chris2000520

BiseNetv2 is not pretrained on imagenet dataset, so you need to train it more epochs (e.g. 800 epochs) to achieve better results. Actually you may switch this repo from main branch to archive branch, you will see the mIoU for BiseNetv2 is 69.36 (200 epochs) and 72.15 (800 epochs). Other tricks may increase the performances are: use larger crop-size (e.g. 1024) and use larger batch size.

Best

zh320 avatar May 08 '24 14:05 zh320

BiseNetv2 is not pretrained on imagenet dataset, so you need to train it more epochs (e.g. 800 epochs) to achieve better results. Actually you may switch this repo from main branch to archive branch, you will see the mIoU for BiseNetv2 is 69.36 (200 epochs) and 72.15 (800 epochs). Other tricks may increase the performances are: use larger crop-size (e.g. 1024) and use larger batch size.

Best

Thank you so much！It helps me a lot. I'll try it again. Best wishes.

chris2000520 avatar May 08 '24 14:05 chris2000520

Hi, Chris. Please share the configs for your experiments.

I used the same configs as you. I ran 200 rounds of epochs on BiseNetv2, but the best miou is 68.65%. The GPU is RTX 2080 Ti. There are some pictures about my result. miou loss

兄弟你用过这里面STDC的Detail head吗，训练无法收敛

zhy168 avatar Jun 27 '24 01:06 zhy168

没有-------- 原始邮件 --------发件人： zhy61718 @.>日期： 2024年6月27日周四 09:32收件人： zh320/realtime-semantic-segmentation-pytorch @.>抄送： 书灏 @.>, Author @.>主 题： Re: [zh320/realtime-semantic-segmentation-pytorch] MIoU is less (Issue #9)

Hi, Chris. Please share the configs for your experiments.

I used the same configs as you. I ran 200 rounds of epochs on BiseNetv2, but the best miou is 68.65%. The GPU is RTX 2080 Ti. There are some pictures about my result.

兄弟你用过这里面STDC的Detail head吗，训练无法收敛

—Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: @.***>

chris2000520 avatar Jun 27 '24 02:06 chris2000520