1、eric第三方开源项目：GitHub - eric-yyjau/pytorch-superpoint: Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
2、安装文章内的安装环境
3、问题：RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
参考链接：
Cuda version和GPU compute capability冲突解决 - 知乎
解决方法
pip3 install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html实用技巧
1、tensorboard使用
conda create --name py36-sp python=3.6
conda activate py36-sppip install tensorboard
pip install tensorboardX
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安装后
tensorboard --logdir=路径
在vscode的port 6006
2、Windows远程服务器
参考