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DengPingFan / PraNet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.
http://dpfan.net/PraNet
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MyTest.py 和 main.m 运行出问题 #14

Closed Songxinlei closed 3 years ago

Songxinlei commented 3 years ago

运行MyTest,py的时候，出现以下警告： /home/sxl/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py:3063: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details. "See the documentation of nn.Upsample for details.".format(mode)) /home/sxl/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py:3103: UserWarning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and now uses scale_factor directly, instead of relying on the computed output size. If you wish to restore the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. warnings.warn("The default behavior for interpolate/upsample with float scale_factor changed " /home/sxl/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py:2952: UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.") /home/sxl/anaconda3/lib/python3.6/site-packages/scipy/misc/pilutil.py:106: RuntimeWarning: overflow encountered in multiply bytedata = (data - cmin) * scale + low、 然后，过一会，也不出现什么，就结束了，之后，查看results里的图片，效果特别特别差，很多都是黑乎乎的一张图片，什么都没有。 2、运行main.m，会报以下错误 (Dataset:CVC-ClinicDB; Model:PraNet) meanDic:NaN;meanIoU:NaN;wFm:NaN;Sm:NaN;meanEm:NaN;MAE:NaN;maxEm:NaN;maxDice:NaN;maxIoU:NaN;meanSen:NaN;maxSen:NaN;meanSpe:NaN;maxSpe:NaN. Elapsed time is 0.011206 seconds. 全是NAN 还望作者可以给解答下，是不是我哪里做错了？谢谢！@DengPingFan

GewelsJI commented 3 years ago

@Songxinlei 数值溢出，不知道您修改了哪一部分的代码，我在output后加了sigmoid()进行了数值的缩放，应该不会出现类似的问题，如果方便的话，请您提供一下相关的代码。感谢您的关注。

Songxinlei commented 3 years ago

en 我只是改了数据集的路径，其他的代码 我应该没有动。我通过邮件发给您那个 code吧

GewelsJI commented 3 years ago

Hi @Songxinlei!

This is my e-mail (gepengai.ji@gmail.com)

Best, Ge-Peng.

Songxinlei commented 3 years ago

ok thanks

Pr0mlse commented 1 year ago

你好，我运行MyTest.py可以正常对测试集进行预测，但是运行main.m时遇到了和你一样的问题，请问你解决了吗