树莓派 – 第 5 页

import RPi.GPIO as GPIO   #导入树莓派提供的python模块
import time   #导入时间包，用于控制闪烁
GPIO.setmode(GPIO.BCM)   #设置GPIO模式，BCM模式在所有数码派通用
GPIO.setup(26, GPIO.OUT)   #设置GPIO18为电流输出
while True:
    GPIO.output(26, GPIO.HIGH)   #GPIO18 输出3.3V
    time.sleep(1)   #程序控制流程睡眠0.05秒
    GPIO.output(26, GPIO.LOW)    #GPIO18 输出0V
    time.sleep(1)   #程序控制流程睡眠0.05秒

npn switcher

onoff-6top-0603-base-1 下载

onoff-6top-0603-base-2 下载

0603switcher

onoff-6top-0603的副本.fzz_下载

城市之角

密码保护：利用expect和rsync以及python实现免密码输入实现自动远程备份

利用python将延时摄像图片自动合成为短视频

利用python实现延时摄像图片的视频化，也就是将图片合成为视频：

import cv2
import glob
def resize(img_array, align_mode):
    _height = len(img_array[0])
    _width = len(img_array[0][0])
    for i in range(1, len(img_array)):
        img = img_array[i]
        height = len(img)
        width = len(img[0])
        if align_mode == 'smallest':
            if height < _height:
                _height = height
            if width < _width:
                _width = width
        else:
            if height > _height:
                _height = height
            if width > _width:
                _width = width
    for i in range(0, len(img_array)):
        img1 = cv2.resize(img_array[i], (_width, _height), interpolation=cv2.INTER_CUBIC)
        img_array[i] = img1
    return img_array, (_width, _height)
def images_to_video(path):
    img_array = []
    for filename in glob.glob(path+'/*.jpg'):
        img = cv2.imread(filename)
        if img is None:
            print(filename + " is error!")
            continue
        img_array.append(img)
    # 图片的大小需要一致
    img_array, size = resize(img_array, 'largest')
    fps = 5
    out = cv2.VideoWriter('/Users/Downloads/中转文件夹/2022-02-20-03.jpg/demo.avi', cv2.VideoWriter_fourcc(*'DIVX'), fps, size)
    for i in range(len(img_array)):
        out.write(img_array[i])
    out.release()
def main():
    path = "/Users/Downloads/中转文件夹/2022-02-20-03.jpg/"
    images_to_video(path)
if __name__ == "__main__":
    main()

以上代码可能会重复将jpg文件编入视频，改进如下：

import cv2
import glob
import re
def resize(img_array, align_mode):
    _height = len(img_array[0])
    _width = len(img_array[0][0])
    for i in range(1, len(img_array)):
        img = img_array[i]
        height = len(img)
        width = len(img[0])
        if align_mode == 'smallest':
            if height < _height:
                _height = height
            if width < _width:
                _width = width
        else:
            if height > _height:
                _height = height
            if width > _width:
                _width = width
    for i in range(0, len(img_array)):
        img1 = cv2.resize(img_array[i], (_width, _height), interpolation=cv2.INTER_CUBIC)
        img_array[i] = img1
    return img_array, (_width, _height)
def images_to_video(path):
    img_array = []
    jpgfile=glob.glob(path+'/*.jpg')
    ordjpgfile=sorted(jpgfile,key = str .lower)
    for filename in ordjpgfile:
        img = cv2.imread(filename)
        if img is None:
            print(filename + " is error!")
            continue
        img_array.append(img)
    # 图片的大小需要一致
    img_array, size = resize(img_array, 'largest')
    fps = 10
    out = cv2.VideoWriter('/Users/Downloads/2022/demo.avi', cv2.VideoWriter_fourcc(*'DIVX'), fps, size)
    for i in range(len(img_array)):
        out.write(img_array[i])
    out.release()
def main():
    path = "/Users/Downloads/2022/"
    images_to_video(path)
if __name__ == "__main__":
    main()

自动根据时间生成文件名

import cv2
import glob
import re
def resize(img_array, align_mode):
    _height = len(img_array[0])
    _width = len(img_array[0][0])
    for i in range(1, len(img_array)):
        img = img_array[i]
        height = len(img)
        width = len(img[0])
        if align_mode == 'smallest':
            if height < _height:
                _height = height
            if width < _width:
                _width = width
        else:
            if height > _height:
                _height = height
            if width > _width:
                _width = width
    for i in range(0, len(img_array)):
        img1 = cv2.resize(img_array[i], (_width, _height), interpolation=cv2.INTER_CUBIC)
        img_array[i] = img1
    return img_array, (_width, _height)
def images_to_video(path):
    img_array = []
    jpgfile=glob.glob(path+'/*.jpg')
    ordjpgfile=sorted(jpgfile,key = str .lower)
    for filename in ordjpgfile:
        img = cv2.imread(filename)
        if img is None:
            print(filename + " is error!")
            continue
        img_array.append(img)
    aviname=str(ordjpgfile[0])[-23:-13]+'.avi'
    print(aviname)
    # 图片的大小需要一致
    img_array, size = resize(img_array, 'largest')
    fps = 10
    out = cv2.VideoWriter('/home/peter/2022/'+aviname, cv2.VideoWriter_fourcc(*'DIVX'), fps, size)
    for i in range(len(img_array)):
        out.write(img_array[i])
    out.release()
def main():
    path = "/home/peter/2022"
    images_to_video(path)
if __name__ == "__main__":
    main()

利用rsync远程同步文件

解决已存在文件等复杂问题

rsync pi@192.168.2.145:/home/pi/2022/2022-03-31/ /home/peter/下载/2022/2022-03-31

对于非22端口，则需重新指定端口才能同步

rsync -aP "-e ssh -p 20123" peter@1.tcp.hk.cpolar.cn:/home/pi/ /Users/Downloads/

如果需要复制特定文件组，也就是需要增加“*”等通配符，此时需要将“”才能正常同步，如下：

rsync -aP "-e ssh -p 20123" "peter@1.tcp.hk.cpolar.cn:/home/pi/2022-03-31*" /Users/Downloads/

网站备份

rsync -aP pi@192.168.0.101:/var/www/ /Users/Downloads/roown.com/

需求：公司有两台备份服务器，一主一从，每天晚上8点开始从服务器就开始同步主服务上的一些数据，但是rsync总会断开连接，尝试了好多方法都没有用，写了个脚本临时解决这个问题，如下
#!/bin/bash
rsync -avzP --timeout=60 -e "ssh -p X" X.X.X.X:/kejiandata/streams/tarena/streams/* /h
zdata/streams/
while ((1 < 100));do
    ps aux | grep /kejiandata/streams/tarena/ | grep rsync | grep timeout
    if [ `echo $?` -eq 1 ];then
        rsync -avzP --timeout=60 -e "ssh -p X" X.X.X.X:/kejiandata/streams/tarena/stre
ams/* /hzdata/streams/
    fi
    sleep 30
    if [ `date +"%H%M"` -ge 0830 ];then
        exit
    fi
done

shell脚本批量生成目录

需要在Linux环境中定期批量生成年月日的日期目录，这样，相关的文件可以按照日期类别放到对应的目录中
脚本如下所示：

#!/bin/bash
images_path="/usr/local/images"
TDATE=$(date -d next-day +%Y-%m-%d)
Next_DATE=$(date -d next-month +%Y-%m-%d)
i=0
until [[ $day == $Next_DATE ]]
do
        day=$(date -d "$TDATE $i days" +%Y-%m-%d)
        mkdir -p ${images_path}/$(date +"%Y")/$day/
        ((i++))
done

如果想指定创建日期目录可以如下所示：
创建2018-01-01到2018-02-15的日期目录：

#!/bin/bash
images_path=/wxdk_images
i=0
until [[ $day == "2018-02-15" ]]
do
        day=$(date -d "2018-01-01 $i days" +%Y-%m-%d)
        mkdir -p ${images_path}/$(date +"%Y")/$day/
        ((i++))
done

https://www.cnblogs.com/blogjun/articles/8251530.html

分类：树莓派

python 字符串运算

light led