80 lines
2.0 KiB
Markdown
80 lines
2.0 KiB
Markdown
A streaming digital human based on the Ernerf model， realize audio video synchronous dialogue. It can basically achieve commercial effects.
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基于ernerf模型的流式数字人，实现音视频同步对话。基本可以达到商用效果
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## Installation
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Tested on Ubuntu 18.04, Pytorch 1.12 and CUDA 11.3.
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### Install dependency
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```bash
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pip 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 "git+https://github.com/facebookresearch/pytorch3d.git"
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pip install tensorflow-gpu==2.8.0
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```
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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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安装rtmpstream库
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参照 https://github.com/lipku/python_rtmpstream
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## Run
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### 运行rtmpserver (srs)
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```
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docker run --rm -it -p 1935:1935 -p 1985:1985 -p 8080:8080 registry.cn-hangzhou.aliyuncs.com/ossrs/srs:5
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```
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### 环境配置完成后，启动：
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```python
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python app.py
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```
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如果访问不了huggingface，在运行前
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```
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export HF_ENDPOINT=https://hf-mirror.com
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```
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运行成功后，用vlc访问rtmp://serverip/live/livestream
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### 网页端数字人播报输入文字
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安装并启动nginx
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```
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apt install nginx
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nginx
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```
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修改echo.html中websocket和视频播放地址，将serverip替换成实际服务器ip
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然后将echo.html和mpegts-1.7.3.min.js拷到/var/www/html下
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启动数字人
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```python
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python app.py
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```
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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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## Data flow
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## 数字人模型文件，可以替换成自己训练的模型(https://github.com/Fictionarry/ER-NeRF)
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```python
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.
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├── data
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│ ├── data_kf.json
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│ ├── pretrained
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│ └── └── ngp_kg.pth
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```
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## TODO
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- 添加chatgpt实现数字人对话
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- 声音克隆
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- 数字人静音时用一段视频代替
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如果本项目对你有帮助，帮忙点个star。也欢迎感兴趣的朋友一起来完善该项目。
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Email: lipku@foxmail.com
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