Python实现图片和视频的相互转换

filepath = 'C:/Users/ZFG/Desktop/1111' #视频文件夹所在目录
data='20210823'   #要是储存的文件为20210823_0001格式，则为前半部分
save_filename='C:/Users/ZFG/Desktop/2222/'  #储存图片的文件夹的地址
timeF = 6   #根据一秒取多少帧设置，比如我的视频是24帧/秒，取6则一秒取三张
kernal=(700,700)  #设置输出的大小，根据自己需求设置

def saveImage(image,SaveAddress,num):  #image为读取的图片，SaveAddress为需要存的地址，num为截取图片时候记录的序号
    address= SaveAddress+data+'_'+str(num).zfill(4)+'.jpg'   #这里设置输出格式
    cv2.imwrite(address,image) #这里为存图片

pathDir = os.listdir(filepath)

i=0
j=0
for allDir in pathDir:  #遍历文件夹中的每一个视频
    videopath =filepath+'/'+ allDir
    videoCapture=cv2.VideoCapture(videopath)  #输入绝对路径
    untill,picture=videoCapture.read()  #读取视频，视频读取完的时候，返回的untill为False，表示视频读取完毕
    while untill:
        i+=1
        if (i%timeF==0):    #根据原视频的帧率看截图图片的频率
            j+=1
            picture=cv2.resize(picture,kernal,cv2.INTER_LINEAR)  #这里调用了opencv中的双线性插值法，要是图片增加很快，保证了图片精度
            saveImage(picture,save_filename,j)  #调用我们之前描述的方法
            pass
        untill, picture = videoCapture.read()  #再次看视频是否结束，结束了则until为False

import cv2
import os

i = 0
j = 0
pathDir = os.listdir(filepath)
filepath = 'C:/Users/ZFG/Desktop/1111'
data='20210823'
save_filename='C:/Users/ZFG/Desktop/2222/'
timeF = 6
kernal=(700,700)
def saveImage(image,SaveAddress,num):
    address= SaveAddress+data+'_'+str(num).zfill(4)+'.jpg'
    cv2.imwrite(address,image)
for allDir in pathDir:
    videopath =filepath+'/'+ allDir
    videoCapture=cv2.VideoCapture(videopath)
    untill,picture=videoCapture.read()
    while untill:
        i+=1
        if (i%timeF==0):
            j+=1
            picture=cv2.resize(picture,kernal,cv2.INTER_LINEAR)
            saveImage(picture,save_filename,j)
            pass
        untill, picture = videoCapture.read()

if __name__ == '__main__':
    im_dir = ' '  # 图片帧存放路径，这里写一个文件夹
    dir_list=os.listdir(im_dir)
    fps = 20  # 设置一个帧率，每秒钟帧数越多，视频就越快
    dir_video=' ' #合成后视频的存放视频
    video_dir = dir_video + '.avi'
    frame2video(im_dir, video_dir, fps)

def frame2video(im_dir, video_dir, fps):
    im_list = os.listdir(im_dir)
    im_list.sort(key=lambda x: int(x.replace("frame", "").split('.')[0])) 
    img = Image.open(os.path.join(im_dir, im_list[0]))
    img_size = img.size  # 获得图片分辨率，文件夹下的图片分辨率需要一致，要是不一致可以写一个if函数resize一下~
    fourcc = cv2.VideoWriter_fourcc(*'XVID')  # opencv版本是3
    videoWriter = cv2.VideoWriter(video_dir, fourcc, fps, img_size)
    for i in im_list:
        im_name = os.path.join(im_dir + i)
        frame = cv2.imdecode(np.fromfile(im_name, dtype=np.uint8), -1)
        videoWriter.write(frame)
    videoWriter.release()
    print('Done')

import cv2
import os
import numpy as np
from PIL import Image

def frame2video(im_dir, video_dir, fps):
    im_list = os.listdir(im_dir)
    im_list.sort(key=lambda x: int(x.replace("frame", "").split('.')[0]))
    img = Image.open(os.path.join(im_dir, im_list[0]))
    img_size = img.size 
    fourcc = cv2.VideoWriter_fourcc(*'XVID')  # opencv版本是3
    videoWriter = cv2.VideoWriter(video_dir, fourcc, fps, img_size)

    for i in im_list:
        im_name = os.path.join(im_dir + i)
        frame = cv2.imdecode(np.fromfile(im_name, dtype=np.uint8), -1)
        videoWriter.write(frame)

    videoWriter.release()
    print('Done')


if __name__ == '__main__':
    im_dir = ' '
    dir_list=os.listdir(im_dir)
    fps = 20
    dir_video=' '
    video_dir = dir_video + '.avi'
    frame2video(im_dir, video_dir, fps)