# 创建 python 虚拟环境
python3 -m virtualenv .venv
# 进入 python 虚拟环境
. .venv/bin/activate
# 安装依赖
pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements/algo.txt
pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt
# 启动数据处理服务
python main.py
tox
# pytorch 基础镜像镜
# docker build -t 99cloud/v2x-algo-base -f Dockerfile-algo-base .
CONTAINER_NAME=v2x-data-processing
DOCKER_IMAGE=openv2x/${CONTAINER_NAME}
docker build -t ${DOCKER_IMAGE} .
docker stop ${CONTAINER_NAME}; docker rm ${CONTAINER_NAME}
docker run -d --name ${CONTAINER_NAME} ${DOCKER_IMAGE}
如果容器镜像已存在,可以跳过此步骤
docker build -t cereburm .
docker tag cereburm openv2x/cereburm:latest
docker push openv2x/cereburm:latest
DEPLOY_HOST=v2x-server
# DEPLOY_HOST=v2x-test
cat .drone.yml | grep v2x-server | grep -v -E "^\s*#" | grep -E '^\s*-' | sed "s/v2x-server/${DEPLOY_HOST}/g"| sed 's/-//' > /tmp/deploy-cereburm.sh
# 然后检查一下 /tmp/deploy-cereburm.sh 是否有需要修改的地方
cat /tmp/deploy-cereburm.sh
bash /tmp/deploy-cereburm.sh
- Please run "
dprint fmt
" to format markdown files before creating PR.