【Ubuntu18.04 docker 启动容器，进入容器，执行脚本】-Toy模板网

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1,启动容器

1. 启动一个docker容器:
    docker start 容器id/容器名称
2. 启动多个docker容器：
   docker start 容器id/容器名称 容器id/容器名称 容器id/容器名称...

sudo docker start gracious_cannon

1,当前容器已经启动，怎么进入呢？



dokcer ps -a 查询正在运行的container

docker exec -it 容器ID /bin/bash 进入容器

exit 退出容器

crnn@crnn-System-Product-Name:~$ sudo docker ps
CONTAINER ID   IMAGE                                                                    COMMAND       CREATED       STATUS          PORTS     NAMES
0bf9637d4edf   registry.baidubce.com/paddlepaddle/serving:0.9.0-cuda10.1-cudnn7-devel   "/bin/bash"   3 hours ago   Up 13 seconds   22/tcp    serene_murdock
crnn@crnn-System-Product-Name:~$ sudo docker exec -it 0bf9637d4edf /bin/bash 
λ 0bf9637d4edf /home cd PaddleOCR/deploy/pdserving/
λ 0bf9637d4edf /home/PaddleOCR/deploy/pdserving {release/2.5} python3.7 web_service.py &>log.txt &
[1] 40
λ 0bf9637d4edf /home/PaddleOCR/deploy/pdserving {release/2.5} 
λ 0bf9637d4edf /home/PaddleOCR/deploy/pdserving {release/2.5} python3.7 pipeline_http_client.py

-----进入步骤

sudo docker exec -it 0bf9637d4edf /bin/bash

cd PaddleOCR/deploy/pdserving/

python3.7 web_service.py &>log.txt &

python3.7 pipeline_http_client.py

一、 docker 服务启动启动

# 开启 docker 自启动
systemctl enable docker.service

# 关闭 docker 自启动
systemctl disable docker.service

二、docker 容器自动启动

# 开启容器自启动
docker update --restart=always 【容器名】
例如：docker update --restart=always tracker


# 关闭容器自启动
docker update --restart=no【容器名】
例如：docker update --restart=no tracker

##### 相关配置解析
no：
    不要自动重启容器。（默认）

on-failure： 
    如果容器由于错误而退出，则重新启动容器，该错误表现为非零退出代码。

always：
    如果容器停止，请务必重启容器。如果手动停止，则仅在Docker守护程序重新启动或手动重新启动容器本身时才重新启动。（参见重启政策详情中列出的第二个项目）

unless-stopped：
    类似于always，除了当容器停止（手动或其他方式）时，即使在Docker守护程序重新启动后也不会重新启动容器。

三、设置容器内的服务自动启动：
1-首先制作一个启动脚本start_fw.sh
参考

#!/bin/bash
cd PaddleOCR/deploy/pdserving/
nohup python3.7 web_service.py &>log.txt &
/bin/bash

2-将容器制作为镜像，然后启动容器

sudo nvidia-docker run -it -p 3001:22 -p 2001:1998 -v /home/crnn/OCR_date:/data --entrypoint=/bin/bash --restart=always --name nginx1 -d registry.baidubce.com/paddlepaddle/serving:0.9.2 /home/PaddleOCR/deploy/pdserving/start_fw.sh

3-文章来源地址https://www.toymoban.com/news/detail-509584.html

# 查看所有启动和未启动的容器
docker ps -a

# 获取到容器id, 使用cp命令将容器内的目录拷贝到本地
docker cp containerID:container_path host_path

 Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import numpy as np
import requests
import json
import base64
import os
import argparse
parser = argparse.ArgumentParser(description="args for paddleserving")
parser.add_argument("--image_dir", type=str, default="../../doc/imgs/")
args = parser.parse_args()

def cv2_to_base64(image):
    return base64.b64encode(image).decode('utf8')


url = "http://127.0.0.1:1998/ocr/prediction"
test_img_dir = args.image_dir

for idx, img_file in enumerate(os.listdir(test_img_dir)):
    with open(os.path.join(test_img_dir, img_file), 'rb') as file:
        image_data1 = file.read()
    # print file name
    print('{}{}{}'.format('*' * 10, img_file, '*' * 10))

    image = cv2_to_base64(image_data1)

    data = {"key": ["image"], "value": [image]}
    r = requests.post(url=url, data=json.dumps(data))
    result = r.json()
    print("erro_no:{}, err_msg:{}".format(result["err_no"], result["err_msg"]))
    # check success
    if result["err_no"] == 0:
        ocr_result = result["value"][0]
        try:
            for item in eval(ocr_result):
                # return transcription and points
                print("{}, {}".format(item[0], item[1]))
        except Exception as e:
            print("No results")
            continue

    else:
        print(
            "For details about error message, see PipelineServingLogs/pipeline.log"
        )
print("==> total number of test imgs: ", len(os.listdir(test_img_dir)))