Pandaxia8
Pandaxia8
> Hello, > > You can check the explanation here #5 maybe? > > Here is the difference: > > ```python > import torch > > def downsample_concatenate(X, kernel): >...
您好,我的两种环境配置如下: > 一:2060ti >  >  >  >  > 二:3090 >  >  >  >  > 报错如下: >  >  > 网上相同的错误,第一种方案:修改setup.py, 还是报错...
> 你的torch显示cu102,为什么cuda版本是11.4? 我尝试过换torch对应不同的cuda版本(10.2,11.1,11.0,11.3),还是相同的错误。
> 你装ninja了吗? `pip install ninja` @Pandaxia8 安装了 
> 我也遇到了相同的情况,楼主解决了吗? > > > > 你装ninja了吗? `pip install ninja` @Pandaxia8 > > > 安装了 > > >  一直有问题,放弃了
> Hi, thanks for your awesome project! When I dive into the detail of TDD, I find that the ResNet_FPN is used instead of pure ResNet, which will create an...
> The vgg-based experiments are experimented without FPN. The previous literature is not uniform on whether to use FPN, and res50+FPN is a more natural combination, so we did not...