网站被挂黑后果,建筑工程网目密度,页面设计在哪打开,五华网站建设 优帮云文章目录 dockerfile备忘ENTRYPOINT [bash, /app/startProject.sh]常用docker指令web服务脚本访问接口文件 给一张图片#xff0c;输出图片描述。
dockerfile备忘
只有从dockerfile制作的镜像才有分层结构#xff0c;加速传输#xff0c;故第一步… 文章目录 dockerfile备忘ENTRYPOINT [bash, /app/startProject.sh]常用docker指令web服务脚本访问接口文件 给一张图片输出图片描述。
dockerfile备忘
只有从dockerfile制作的镜像才有分层结构加速传输故第一步需要编写dockerfile过程是不断调试的下面是一些制作过程中写的dockerfile片段可以参考一下语句和写法
FROM nvidia/cuda:11.6.2-cudnn8-devel-ubuntu18.04
RUN apt-get update apt-get install -y wget git
RUN wget http://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/conda.sh \bash /tmp/conda.sh -b rm /tmp/conda.sh
COPY ./deps/ /deps
RUN cp /deps/.condarc /root/
ENV DEBIAN_FRONTENDnoninteractive
# 安装 tzdata 包并设置时区为上海无交互
RUN apt-get update \apt-get install -y tzdata \ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime \echo Asia/Shanghai /etc/timezone
RUN apt-get install -y curl
RUN ~/miniconda3/bin/conda init bash . ~/.bashrc
RUN . ~/.bashrc curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash \apt-get install -y git-lfs git-lfs install
RUN apt-get install -y python3-pip
# 打印~/.bashrc
RUN . ~/.bashrc pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
RUN . ~/.bashrc git clone --recurse-submodules https://github.com/lkwq007/stablediffusion-infinity \cd stablediffusion-infinity ~/miniconda3/bin/conda env create -f environment.yml
#RUN . ~/.bashrc ~/miniconda3/bin/conda activate sd-inf \
# ~/miniconda3/bin/conda install -c conda-forge -y diffusers transformers ftfy accelerate \
# ~/miniconda3/bin/conda update -c conda-forge -y diffusers transformers ftfy accelerate \
# pip install -U gradioFROM kevinchina/deeplearning:sd_base_cuda116
RUN . ~/.bashrc conda activate sd-inf pip install clip-interrogator0.6.0 pip install fastapi uvicorn python-multipart requests opencv-python numpy
RUN . ~/.bashrc conda activate sd-inf cd /deps/ python t.pyFROM kevinchina/deeplearning:sd_base_cuda116clip
RUN . ~/.bashrc mkdir /app/ apt-get install -y libopencv-dev
COPY ./deps/main_clip.py /app/FROM kevinchina/deeplearning:sd_base_cuda116clip1
RUN . ~/.bashrc echo conda activate sd-inf ~/.bashrc
RUN . ~/.bashrc pip uninstall clip-interrogator -y
RUN . ~/.bashrc git clone https://github.com/xddun/clip-interrogator.gitFROM kevinchina/deeplearning:sd_base_cuda116clip4
WORKDIR /app
RUN rm /app/main_clip.py
COPY ./deps/main_clip.py /app/
COPY ./deps/startProject.sh /app/
EXPOSE 8001
ENTRYPOINT [bash, /app/startProject.sh]比较重要的是最后一个dockerfile可以通过kevinchina/deeplearning:sd_base_cuda116clip4作为基础镜像。
FROM kevinchina/deeplearning:sd_base_cuda116clip4
WORKDIR /app
RUN rm /app/main_clip.py
COPY ./deps/main_clip.py /app/
COPY ./deps/startProject.sh /app/
EXPOSE 8001
ENTRYPOINT [bash, /app/startProject.sh]ENTRYPOINT [“bash”, “/app/startProject.sh”]
启动web服务的脚本
#!/bin/bash
set -u
cd /app/ nohup /root/miniconda3/envs/sd-inf/bin/python main_clip.py /log.alg 21
echo ----------------------------------------
echo running...
while [ 1 ]
doecho sleepsleep 3600
done
常用docker指令
安装docker nvidia支持确认有docker后
# 1、添加源
distribution$(. /etc/os-release;echo $ID$VERSION_ID)
sudo curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
sudo curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
# 2、安装并重启
sudo apt-get update sudo apt-get install -y nvidia-container-toolkit
sudo systemctl restart docker给docker image命名
docker tag e225437cc81a kevinchina/deeplearning:sd_base_cuda116clip7在docker build的时候直接给名字那个点是宿主机当前目录
docker build -f Dockerfile -t kevinchina/deeplearning:sd_base_cuda116clip7 .在后台直接执行docker web服务因为dockerfile里有ENTRYPOINT [“bash”, “/app/startProject.sh”]
docker run -d --gpus all -p 8001:8001 kevinchina/deeplearning:sd_base_cuda116clip7以交互形态进入刚才启动的容器
docker ps # 查看容器hash id不是镜像hash id
docker exec -it 4209c872c48b bash # 进入后可以去查看日志/log.alg
向docker center推送镜像
docker push kevinchina/deeplearning:sd_base_cuda116clip7web服务脚本
# -*- coding:utf-8 -*-
import traceback
from typing import List, Optional, Union
import uvicorn
from fastapi.middleware.cors import CORSMiddleware
from fastapi import FastAPI, File, Form, UploadFile
import cv2
import numpy as np
from PIL import Image
from clip_interrogator import Config, Interrogatorci Interrogator(Config(clip_model_nameViT-L-14/openai))app FastAPI(titleFastAPI Tutorial,descriptionFastAPI教程,version1.0.0,docs_url/docs,redoc_url/redocs,
)
app.add_middleware(CORSMiddleware,allow_origins[*],allow_credentialsTrue,allow_methods[*],allow_headers[*],
)app.post(/files/)
async def alg_file(fileb: UploadFile File(...)
):try:img cv2.imdecode(np.fromstring(fileb.file.read(), np.uint8), cv2.IMREAD_COLOR)pil_image Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))return ci.interrogate(pil_image)except:traceback.print_exc()return -1if __name__ __main__:uvicorn.run(main_clip:app, host0.0.0.0, port8001, reloadFalse, workers1)
访问接口
容器启动是需要加载模型的故需要访问要等1分钟后比较稳定。
import requests
url http://0.0.0.0:8001/files/
with open(1.png, rb) as f:res requests.post(urlurl, files{fileb: f}, timeoutNone)print(res.json())
访问成功
rooteuler-MS-7D30:/home/xiedong/project_docker/deps# python3 req.py
arafed kingfisher with open beak and long bill, featured on unsplash, screaming face, colorised, sauron, with a very large mouth, that has the form of a dragonfly, perfect face template, kenku, visibly angry, closeup of the face, sneer, devouring 文件
可以这里下载docker的一些文件 https://download.csdn.net/download/x1131230123/88359051
