pytorch nerf
时间: 2023-09-02 17:13:00 浏览: 132
PyTorch NeRF是指通过Anaconda创建虚拟环境nerf-pytorch,并在该环境中运行NeRF项目的PyTorch实现。 你可以使用以下命令来创建并激活名为nerf-pytorch的虚拟环境:
```
conda create -n nerf-pytorch python=3.8
conda activate nerf-pytorch
```
如果你想要移除这个虚拟环境,可以使用以下命令:
```
conda remove -n nerf-pytorch --all
```
NeRF-pytorch项目是NeRF的忠实PyTorch实现,它能够在提高运行速度的同时重现结果。你可以在其GitHub地址上找到该项目: <span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [NeRF简介及nerf-pytorch的使用](https://blog.csdn.net/fengbingchun/article/details/129641579)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [深度学习(18):nerf、nerf-pytorch代码运行与学习](https://blog.csdn.net/BIT_HXZ/article/details/127260532)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]
阅读全文