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@ -27,6 +27,7 @@ Tested on Ubuntu 20.04, Python3.10, Pytorch 1.12 and CUDA 11.3
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```bash
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```bash
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conda create -n nerfstream python=3.10
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conda create -n nerfstream python=3.10
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conda activate nerfstream
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conda activate nerfstream
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#如果cuda版本不为11.3(运行nvidia-smi确认版本)，根据<https://pytorch.org/get-started/previous-versions/>安装对应版本的pytorch
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conda install pytorch==1.12.1 torchvision==0.13.1 cudatoolkit=11.3 -c pytorch
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conda install pytorch==1.12.1 torchvision==0.13.1 cudatoolkit=11.3 -c pytorch
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pip install -r requirements.txt
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pip install -r requirements.txt
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#如果不训练ernerf模型，不需要安装下面的库
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#如果不训练ernerf模型，不需要安装下面的库
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@ -34,7 +35,6 @@ pip install "git+https://github.com/facebookresearch/pytorch3d.git"
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pip install tensorflow-gpu==2.8.0
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pip install tensorflow-gpu==2.8.0
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pip install --upgrade "protobuf<=3.20.1"
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pip install --upgrade "protobuf<=3.20.1"
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```
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```
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如果cuda为其他版本，上<https://pytorch.org/get-started/previous-versions/>安装相应版本的pytorch
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安装常见问题[FAQ](https://livetalking-doc.readthedocs.io/en/latest/faq.html)
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安装常见问题[FAQ](https://livetalking-doc.readthedocs.io/en/latest/faq.html)
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linux cuda环境搭建可以参考这篇文章 https://zhuanlan.zhihu.com/p/674972886
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linux cuda环境搭建可以参考这篇文章 https://zhuanlan.zhihu.com/p/674972886
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@ -77,7 +77,7 @@ docker run --gpus all -it --network=host --rm registry.cn-beijing.aliyuncs.com/c
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提供如下镜像
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提供如下镜像
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- autodl镜像: <https://www.codewithgpu.com/i/lipku/metahuman-stream/base>
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- autodl镜像: <https://www.codewithgpu.com/i/lipku/metahuman-stream/base>
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[autodl教程](autodl/README.md)
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[autodl教程](autodl/README.md)
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- ucloud镜像: <https://www.compshare.cn/images-detail?ImageID=compshareImage-14pa8x8ucwr9&ImageType=Community&ytag=cs_lipku_image>
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- ucloud镜像: <https://www.compshare.cn/images-detail?ImageID=compshareImage-14pa8x8ucwr9&ImageType=Community&referral_code=3XW3852OBmnD089hMMrtuU&ytag=lipku_github>
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可以开放任意端口，不需要单独运行srs服务.
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可以开放任意端口，不需要单独运行srs服务.
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lipku
7 months ago