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
月度归档: 2022 年 4 月
npn switcher
0603switcher
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()