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CamVid DATASET

Open BUAA-LKG opened this issue 2 years ago • 18 comments

Excellent work! Could you provide a link to download for the 11 category camvid dataset?

BUAA-LKG avatar Jun 08 '22 02:06 BUAA-LKG

Because I was curious how such high accuracy could be achieved on this dataset

BUAA-LKG avatar Jun 08 '22 02:06 BUAA-LKG

You can directly download the full dataset via: https://www.kaggle.com/code/mahmudsarwar/image-segmentation-pytorch/data?select=CamVid ,then unzip it in data/camvid dir. Since the work was implemented by myself, I am also very surprised by the results, so if you can help me to double check it, I will be appreciated.

XuJiacong avatar Jun 08 '22 02:06 XuJiacong

Basically, you can check: 1) if the colors (rgb) for the 11 categories could match; 2) if the label is generated correctly; 3) if the mIOU is calculated correctly. Thank you so much.

XuJiacong avatar Jun 08 '22 03:06 XuJiacong

Basically, you can check: 1) if the colors (rgb) for the 11 categories could match; 2) if the label is generated correctly; 3) if the mIOU is calculated correctly. Thank you so much.

Ok, I will try. Another problem, what is the hardware environment when you train? 2 or 4 3090?

BUAA-LKG avatar Jun 08 '22 03:06 BUAA-LKG

Thanks. 2 A100 cards. I think 1 3090 is enough for camvid, but for cityscapes, I recommend at least 2 3090 cards.

XuJiacong avatar Jun 08 '22 03:06 XuJiacong

Thanks. 2 A100 cards. I think 1 3090 is enough for camvid, but for cityscapes, I recommend at least 2 3090 cards.

好的,我试一下复现!不知是否方面加个联系方式呢?我是北京航空航天大学的一名研究生,也在学习关于实时分割的方向!

BUAA-LKG avatar Jun 08 '22 03:06 BUAA-LKG

Please see the 'prepare the dataset' section in the front page of this github repository and check the method to download and prepare the data for camvid.

XuJiacong avatar Jun 10 '22 03:06 XuJiacong

谢谢关注, 你可以发你微信或者qq号到我的邮箱:[email protected]

XuJiacong avatar Jun 10 '22 04:06 XuJiacong

谢谢关注, 你可以发你微信或者qq号到我的邮箱:[email protected]

min_value = pred[min(self.min_kept, pred.numel() - 1)] IndexError: index -1 is out of bounds for dimension 0 with size 0 你好,我在加载camvid数据集,出现这个错误。大佬训练时有遇到吗

scl666 avatar Oct 10 '22 07:10 scl666

Thanks. 2 A100 cards. I think 1 3090 is enough for camvid, but for cityscapes, I recommend at least 2 3090 cards.

好的,我试一下复现!不知是否方面加个联系方式呢?我是北京航空航天大学的一名研究生,也在学习关于实时分割的方向!

你好,这个camvid数据集你复现成功了吗?我使用这个数据集损失函数出错min_value = pred[min(self.min_kept, pred.numel() - 1)] IndexError: index -1 is out of bounds for dimension 0 with size 0,请问你有遇到吗

scl666 avatar Oct 11 '22 12:10 scl666

Because I was curious how such high accuracy could be achieved on this dataset

你好!请问你复现到pid-s在camvid上的精度了吗?有些问题想请教,我的邮箱是[email protected]

Rebufleming avatar Nov 30 '22 02:11 Rebufleming

你好!请问你复现到pid-s在camvid上的精度了吗?有些问题想请教,我的邮箱是[email protected]


Thanks. 2 A100 cards. I think 1 3090 is enough for camvid, but for cityscapes, I recommend at least 2 3090 cards.

好的,我试一下复现!不知是否方面加个联系方式呢?我是北京航空航天大学的一名研究生,也在学习关于实时分割的方向!

你好,这个camvid数据集你复现成功了吗?我使用这个数据集损失函数出错min_value = pred[min(self.min_kept, pred.numel() - 1)] IndexError: index -1 is out of bounds for dimension 0 with size 0,请问你有遇到吗

你好!请问你复现到pid-s在camvid上的精度了吗?有些问题想请教,我的邮箱是[[email protected]]

Rebufleming avatar Nov 30 '22 02:11 Rebufleming

Thanks. 2 A100 cards. I think 1 3090 is enough for camvid, but for cityscapes, I recommend at least 2 3090 cards.

好的,我试一下复现!不知是否方面加个联系方式呢?我是北京航空航天大学的一名研究生,也在学习关于实时分割的方向!

你好,这个camvid数据集你复现成功了吗?我使用这个数据集损失函数出错min_value = pred[min(self.min_kept, pred.numel() - 1)] IndexError: index -1 is out of bounds for dimension 0 with size 0,请问你有遇到吗

您好,我在训练过程中也出现这个问题,请问是怎么解决的啊

guodong110 avatar Dec 28 '22 11:12 guodong110

Hi everybody! I also encountered the same problem when training a PIDNet small model on a custom dataset:

min_value = pred[min(self.min_kept, pred.numel() - 1)]
IndexError: index -1 is out of bounds for dimension 0 with size 0

Does anybody have any intuition about what would be the cause? Thanks in advance!

manuelrames avatar Jan 05 '23 11:01 manuelrames

Hi everybody! I also encountered the same problem when training a PIDNet small model on a custom dataset:

min_value = pred[min(self.min_kept, pred.numel() - 1)]
IndexError: index -1 is out of bounds for dimension 0 with size 0

Does anybody have any intuition about what would be the cause? Thanks in advance!

Fixed it using the solution in https://github.com/XuJiacong/PIDNet/issues/14#issuecomment-1305105993

manuelrames avatar Jan 17 '23 11:01 manuelrames

谢谢。2 张 A100 卡。我认为 1 3090 对于 camvid 来说已经足够了,但对于城市景观,我建议至少 2 3090 张卡。

好的,我试一下复现!不知是否方面加个联系方式呢?我是北京航空航天大学的一名研究生,也在学习关于实时分割的方向!

你好,这个camvid数据集你复现成功了吗?我使用这个数据集损失函数出错min_value = pred[min(self.min_kept, pred.numel() - 1)] IndexError: index -1 对于大小为 0 的维度 0 超出界限,请问你有遇到吗

兄弟,请问这个问题你解决了吗,我遇到了和你一样的问题,如果解决了的话,可以给我分享一下你修改之后的代码吗?我的邮箱:[email protected]

17648145240 avatar Mar 29 '23 03:03 17648145240

谢谢关注, 你可以发你微信或者qq号到我的邮箱:[email protected]

min_value = pred[min(self.min_kept, pred.numel() - 1)] IndexError: index -1 is out of bounds for dimension 0 with size 0 你好,我在加载camvid数据集,出现这个错误。大佬训练时有遇到吗

您好我在复现时也遇到了同样的问题,请问您解决了吗,请问是如何修复的?(可以直接回复,也可以分享我的邮箱[email protected]

wakakkakak avatar Mar 10 '24 08:03 wakakkakak

Thanks. 2 A100 cards. I think 1 3090 is enough for camvid, but for cityscapes, I recommend at least 2 3090 cards.

好的,我试一下复现!不知是否方面加个联系方式呢?我是北京航空航天大学的一名研究生,也在学习关于实时分割的方向!

你好,这个camvid数据集你复现成功了吗?我使用这个数据集损失函数出错min_value = pred[min(self.min_kept, pred.numel() - 1)] IndexError: index -1 is out of bounds for dimension 0 with size 0,请问你有遇到吗

您好,请问您解决了这个问题吗,是如何修改的呢?

wakakkakak avatar Mar 10 '24 08:03 wakakkakak