add docker
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# Copyright (c) 2020-2022, NVIDIA CORPORATION. All rights reserved.
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#
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# NVIDIA CORPORATION and its licensors retain all intellectual property
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# and proprietary rights in and to this software, related documentation
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# and any modifications thereto. Any use, reproduction, disclosure or
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# distribution of this software and related documentation without an express
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# license agreement from NVIDIA CORPORATION is strictly prohibited.
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ARG BASE_IMAGE=nvcr.io/nvidia/cuda:11.6.1-cudnn8-devel-ubuntu20.04
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FROM $BASE_IMAGE
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RUN apt-get update -yq --fix-missing \
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&& DEBIAN_FRONTEND=noninteractive apt-get install -yq --no-install-recommends \
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pkg-config \
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wget \
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cmake \
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curl \
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git \
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vim
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#ENV PYTHONDONTWRITEBYTECODE=1
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#ENV PYTHONUNBUFFERED=1
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# nvidia-container-runtime
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#ENV NVIDIA_VISIBLE_DEVICES all
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#ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,graphics
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RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
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RUN sh Miniconda3-latest-Linux-x86_64.sh -b -u -p ~/miniconda3
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RUN ~/miniconda3/bin/conda init
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RUN source ~/.bashrc
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RUN conda create -n nerfstream python=3.10
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RUN conda activate nerfstream
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RUN pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/
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# install depend
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RUN conda install pytorch==1.12.1 torchvision==0.13.1 cudatoolkit=11.3 -c pytorch
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Copy requirements.txt ./
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RUN pip install -r requirements.txt
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# additional libraries
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RUN pip install "git+https://github.com/facebookresearch/pytorch3d.git"
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RUN pip install tensorflow-gpu==2.8.0
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RUN pip uninstall protobuf
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RUN pip install protobuf==3.20.1
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RUN conda install ffmpeg
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Copy ../python_rtmpstream /python_rtmpstream
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WORKDIR /python_rtmpstream/python
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RUN pip install .
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Copy ../nerfstream /nerfstream
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WORKDIR /nerfstream
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CMD ["python3", "app.py"]
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@ -58,6 +58,13 @@ python app.py
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用浏览器打开http://serverip/echo.html,在文本框输入任意文字,提交。数字人播报该段文字
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### docker运行
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先运行srs和nginx
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启动数字人
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```
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docker run --gpus all -it --network=host --rm registry.cn-hangzhou.aliyuncs.com/lipku/nerfstream:v1.2
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```
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## Data flow
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![](/assets/dataflow.png)
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@ -4,7 +4,7 @@ import torch
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import torch.nn.functional as F
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from transformers import AutoModelForCTC, AutoProcessor
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import pyaudio
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#import pyaudio
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import soundfile as sf
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import resampy
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@ -18,7 +18,7 @@ face_alignment
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python_speech_features
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numba
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resampy
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pyaudio
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#pyaudio
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soundfile
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einops
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configargparse
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@ -30,3 +30,4 @@ transformers
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edge_tts
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flask
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flask_sockets
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opencv-python-headless
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