PIDNet
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CamVid DATASET
Excellent work! Could you provide a link to download for the 11 category camvid dataset?
Because I was curious how such high accuracy could be achieved on this dataset
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.
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.
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?
Thanks. 2 A100 cards. I think 1 3090 is enough for camvid, but for cityscapes, I recommend at least 2 3090 cards.
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!
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.
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
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
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]
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]]
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
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!
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
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]
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])
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?