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2024-10-04 22:58:25,605 semantic_segmentation INFO: Using 1 GPUs
2024-10-04 22:58:25,605 semantic_segmentation INFO: Namespace(aux=True, batch_size=16, contrast_kd_temperature=1.0, contrast_temperatu…
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有没有人复现camvid数据集吗,我看作者说是已经解决了异常高精度,但是我复现的时候依然高精度,到了九十几.
Lv595 updated
1 month ago
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Excellent work!
Could you provide a link to download for the 11 category camvid dataset?
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@RolandGao Hello,I wonder to know whether you will publish the weights file trained on the Camvid dataset.
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作者您好,在不使用预训练的情况下,我使用camvid数据集来train模型,miou格外得低。我是用了epoch为200,模型为dsnet-256,最后的miou为41.2%,达不到论文中的水平。其中部分标签的预测准确度几乎为0。请问这种情况您有遇到吗?您是否方便提供联系方式,想跟您讨论一下原因。
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Great repo! I see you got around 48% IoU on the validation set... Any ideas on why it's leveling out at 20% for me (didn't change anything)?
Thanks
nan14 updated
5 years ago
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Hi, I am interested in adding CamVid Dataset for Image Segmentation.
The Repository hosting the dataset is here- https://github.com/alexgkendall/SegNet-Tutorial/tree/master/CamVid
cc @pmeier
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你好,我使用Camvid数据集训练时发现没有对应的yaml文件.我将cityscapes的yaml文件修改成camvid的,但是训练的miou只能达到0.70,达不到论文中的0.74,请问您这边有对应的camvid的yaml文件吗?还是说我修改的camvid修改有错误。
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为什么训练CamVid的时候需要Cityscapes的预训练权重?
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