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Error when running finetune.py #217

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hubery4 opened this issue Jun 20, 2021 · 9 comments
Open

Error when running finetune.py #217

hubery4 opened this issue Jun 20, 2021 · 9 comments

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@hubery4
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hubery4 commented Jun 20, 2021

Hi Jiaren,

When I use the pretrained model Scene_flow to finetune KITTI_2015, there is always a error:
image
Each time the index number is different. I just directly follow your instructions to train the dataset and I did not find the error point.

Could you give me some suggestions? Thank you so much.

@Jack47746
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Jack47746 commented Jun 25, 2021

hi,Have you solved this problem? I train with IndexError: index 99 is out of bounds for dimension 1 with size 1
image

@hubery4
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hubery4 commented Jun 25, 2021

It seems the problem of the dimension of 'pred_disp'.
'true_disp' has 3 dimension while 'pred_disp' has 4. You need add ':' in pred_disp.
image

@Jack47746
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thank you so much!Have you encountered such a problem? Why did I stop running halfway through the run, and there was no error.
image

@hubery4
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hubery4 commented Jun 26, 2021

@Jack47746 I have also encountered this problem both in Colab and my own computer. It seems the RAM memory problem. It needs much more memory (>32GB). But I have not validated it. If you have some methods, please share it with me. Thank you.

@Jack47746
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change the batchsize? My batchsize is 3.Do you speak chinese, do you have QQ or Wechat?

@hubery4
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hubery4 commented Jun 26, 2021

@Jack47746 Changing batchsize seems not working. I have WeChat. You could directly email me (huberywu4ever@gmail.com) to give me the wechat number and I can add your wechat.

@michaelnguyen11
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#226

@yuankang1234
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@Jack47746 Changing batchsize seems not working. I have WeChat. You could directly email me (huberywu4ever@gmail.com) to give me the wechat number and I can add your wechat.

你好,我加个分号但是又报cpu占用不够了,请问你知道方法吗?我微信xue666630

@2Rsys
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2Rsys commented Apr 22, 2024

更改批处理大小似乎不起作用。我有微信。你可以直接给我发电子邮件(huberywu4ever@gmail.com)给我微信号码,我可以添加你的微信。

你好,我加个分号但是又报cpu占用不够了,请问你知道方法吗?我微信xue666630
请问您解决了吗?我也遇到了同样的问题,更改batchsize没用

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5 participants