CNAMASDK addon of nodejs
npm install @faceunity/cnama-v /usr/include/GL:/usr/include/GL`与`-v /usr/include/X11:/usr/include/X11`将宿主机的相关头文件挂载进容器内,部署容器经过CI后可以不需要宿主机头文件挂载
2. 确认容器内的DISPLAY环境变量为`:0`,使用`env | grep DISPLAY`进行确认;
3. 确认`~/.Xauthority`存在,如果不存在使用`ln -s /root/auth/:0 /root/.Xauthority`
4. 确认宿主机的X服务正常,已执行`xhost +`允许所有用户链接X服务
5. 容器内需执行过`ulimit -c unlimited`或添加该行至`/etc/profile`文件
开发环境容器启动：
`
#注意替换SSH端口号
sudo docker run --privileged -d --gpus all --pid=host -e CNAMA_GPU=true -v /var/run/lightdm/root/:/root/auth/ -v /tmp/.X11-unix:/tmp/.X11-unix -p xxxx:22 harbor.faceunity.com/cnama/base:gpu-1.1 sh -c "apt install ssh -y&&service ssh start&&sleep infinity"
`
生产环境容器启动：
`
#注意替换目标镜像
sudo docker run --privileged -d --gpus all --pid=host -v /var/run/lightdm/root/:/root/auth/ -v /tmp/.X11-unix:/tmp/.X11-unix xxxxx
`
`
GPU环境需要在安装前设置环境变量CNAMA_GPU为true,初始GPU容器内部已经内置了该变量不需要主动设置
需要硬解码的话需要安装前设置环境变量HW_DECODE为true,默认为CPU软解
npm install cnama -S --registry=http://47.96.88.190:4873
CPU环境需要在安装前设置环境变量CPU_LIBRARY_PREFIX路径,包含OSMesa和libGL等库,初始CPU容器内部已经内置了该变量不需要主动设置
npm install cnama -S --registry=http://47.96.88.190:4873
`
！！注意
目前本项目仅为CNAMASDK的API子集
使用
写图片
`
const {Setup,CreateItemFromPackage,BindItem,RenderBundles} = require('cnama');
const auth_pack = require("auth_pack.json").auth_pack;
Setup(Buffer.from(auth_pack));
const controller = CreateItemFromPackage(readFileSync(resolve(__dirname, '../assets/controller_cpp.bundle')));
const avatar = CreateItemFromPackage(readFileSync(resolve(__dirname, '../assets/STA_avatar_kt_def_book.bundle')));
const controller_config = CreateItemFromPackage(readFileSync(resolve(__dirname, '../assets/controller_config.bundle')));
BindItem(controller, controller_config);
BindItem(controller, avatar);
const frame = RenderBundles(1920, 1080, new Int32Array([controller]), {
p_translation: Buffer.from([0, 0, 350]),
p_rotation: Buffer.from([0, 0, 0, 1]),
pupil_pos: Buffer.from([0, 0, 0]),
p_expression: Buffer.from(new Array(57).fill(0)),
rotation_mode: Buffer.from([0]),
is_valid: 1,
});
frame.write("./out.png");
`
写视频
`
const {Setup,CreateItemFromPackage,BindItem,RenderBundles,VideoWriter} = require('cnama');
const auth_pack = require("auth_pack.json").auth_pack;
Setup(Buffer.from(auth_pack));
const controller = CreateItemFromPackage(readFileSync(resolve(__dirname, '../assets/controller_cpp.bundle')));
const avatar = CreateItemFromPackage(readFileSync(resolve(__dirname, '../assets/STA_avatar_kt_def_book.bundle')));
const controller_config = CreateItemFromPackage(readFileSync(resolve(__dirname, '../assets/controller_config.bundle')));
BindItem(controller, controller_config);
BindItem(controller, avatar);
const videowriter = new VideoWriter("out.mp4",{ fps:25,width:1920,height:1080 });
for(let i=0;i<100;i++){
const frame = RenderBundles(1920, 1080, new Int32Array([controller]), {
p_translation: Buffer.from([0, 0, 350]),
p_rotation: Buffer.from([0, 0, 0, 1]),
pupil_pos: Buffer.from([0, 0, 0]),
p_expression: Buffer.from(new Array(57).fill(0)),
rotation_mode: Buffer.from([0]),
is_valid: 1,
});
videowriter.write(frame);
}
videowriter.release();
``