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编译和安装“deep-hough”模块时遇到错误。 #45

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Liliana-H opened this issue Jul 21, 2022 · 6 comments
Open

编译和安装“deep-hough”模块时遇到错误。 #45

Liliana-H opened this issue Jul 21, 2022 · 6 comments

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@Liliana-H
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Liliana-H commented Jul 21, 2022

您好,感谢您的工作。
我在尝试复现代码时,按照指示安装deep-hough模块时,总是出现一些错误:
1
我所使用的cuda=10.1 pytorch=1.7.1 gcc=5.4.0 python=3.8
想请教一下是哪里出了问题呢
祝好~

@zeakey
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zeakey commented Jul 21, 2022

连接错误。搜一下报错信息:linker was not configured to use sysroots.

建议复制粘贴报错文本,这样方便其他人阅读/复制/粘贴。

@HassanBinHaroon
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@Liliana-H You can follow the following Github repository to reproduce the work on pretrained or NKL and SEL datasets (hopefully without any error). The implementation is on Google Colab and you can run it from anywhere.

It successfully installs the ninja library.

https://github.com/HassanBinHaroon/deep-hough-transform

@Liliana-H
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连接错误。搜一下报错信息:linker was not configured to use sysroots.

建议复制粘贴报错文本,这样方便其他人阅读/复制/粘贴。

好的,谢谢~

@Liliana-H
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@Liliana-H You can follow the following Github repository to reproduce the work on pretrained or NKL and SEL datasets (hopefully without any error). The implementation is on Google Colab and you can run it from anywhere.

It successfully installs the ninja library.

https://github.com/HassanBinHaroon/deep-hough-transform

Okay. Thanks a lot.

@zeakey
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zeakey commented Aug 12, 2022

@Liliana-H You can follow the following Github repository to reproduce the work on pretrained or NKL and SEL datasets (hopefully without any error). The implementation is on Google Colab and you can run it from anywhere.

It successfully installs the ninja library.

https://github.com/HassanBinHaroon/deep-hough-transform

Great. Thanks for the implementation. I'll post it on our readme.

@HassanBinHaroon
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@Liliana-H You can follow the following Github repository to reproduce the work on pretrained or NKL and SEL datasets (hopefully without any error). The implementation is on Google Colab and you can run it from anywhere.
It successfully installs the ninja library.
https://github.com/HassanBinHaroon/deep-hough-transform

Great. Thanks for the implementation. I'll post it on our readme.

Welcome!

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