Python实现视频分解成图片+图片合成视频

目录

• 一、python视频拆分+图片合成(源码一)
• 1.python视频拆分
• 2.python图片合成
• 二、python视频拆分+图片合成(源码二)
• 三、python视频拆分(源码三)

一、python视频拆分+图片合成(源码一)

1.python视频拆分

import cv2
 
def video2frame(videos_path,frames_save_path,time_interval):
 
  \'\'\'
  :param videos_path: 视频的存放路径
  :param frames_save_path: 视频切分成帧之后图片的保存路径
  :param time_interval: 保存间隔
  :return:
  \'\'\'
  vidcap = cv2.VideoCapture(videos_path)
  success, image = vidcap.read()
  count = 0
  while success:
    success, image = vidcap.read()
    count += 1
    if count % time_interval == 0:
      cv2.imencode(\'.jpg\', image)[1].tofile(frames_save_path + \"/frame%d.jpg\" % count)
    # if count == 20:
    #   break
  print(count)
 
if __name__ == \'__main__\':
   videos_path = r\'E:\\py\\python3.7\\test\\test98youhuashiping\\shipingchaifen\\1.mp4\'
   frames_save_path = r\'E:\\py\\python3.7\\test\\test98youhuashiping\\shipingchaifen\'
   time_interval = 2#隔一帧保存一次
   video2frame(videos_path, frames_save_path, time_interval)

2.python图片合成

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]))  #最好再看看图片顺序对不
    img = Image.open(os.path.join(im_dir,im_list[0]))
    img_size = img.size #获得图片分辨率，im_dir文件夹下的图片分辨率需要一致
 
 
    # fourcc = cv2.cv.CV_FOURCC(\'M\',\'J\',\'P\',\'G\') #opencv版本是2
    fourcc = cv2.VideoWriter_fourcc(*\'XVID\') #opencv版本是3
    videoWriter = cv2.VideoWriter(video_dir, fourcc, fps, img_size)
    # count = 1
    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)
        # count+=1
        # if (count == 200):
        #     print(im_name)
        #     break
    videoWriter.release()
    print(\'finish\')
 
if __name__ == \'__main__\':
    im_dir = r\'E:\\py\\python3.7\\test\\test98youhuashiping\\shipingchaifen\\pho/\'#帧存放路径
    video_dir = r\'E:\\py\\python3.7\\test\\test98youhuashiping\\shipingchaifen/test.mp4\' #合成视频存放的路径
    fps = 30 #帧率，每秒钟帧数越多，所显示的动作就会越流畅
    frame2video(im_dir, video_dir, fps)

提示：路径中不要出现中文和特殊字符，且书写要规范！！

二、python视频拆分+图片合成(源码二)

import cv2
import numpy as np
import os
os.chdir(r\'E:\\py\\python3.7\\test\\test98youhuashiping\\chaifen\')

##读取视频，并逐帧分解成图片
cap = cv2.VideoCapture(\'1.mp4\')  #打开一个视频
isOpened = cap.isOpened() #判断是否打开
print(isOpened)

#获取视频的相关信息，视频的每一帧图片的宽度都是一致的
fps = cap.get(cv2.CAP_PROP_FPS) #帧率，即每秒钟由多少张图片组成
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) #获取宽度
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) #获取高度
print(fps,width,height)  #输出相关信息

i = 0  
while (isOpened):
    #读取视频的前两秒的图像，共计2*int(fps)张
    if i ==int(fps)*2 :  
        break
    else:
        i = i+1
    (flag,frame) = cap.read() #读取每一张 flag frame
    filename = \'image\'+str(i)+\'.jpg\'
    #将读取的图片写入文件中，
    if flag == True:
        cv2.imwrite(filename,frame,[cv2.IMWRITE_JPEG_QUALITY,100])  #确定图片质量，100算是高的
print(\'end!\')   

##读取零散图片(上面分解的图片)，并将其合成视频
img = cv2.imread(\'image1.jpg\')
imginfo = img.shape
size = (imginfo[1],imginfo[0])  #与默认不同，opencv使用 height在前，width在后，所有需要自己重新排序
print(size)

#创建写入对象，包括 新建视频名称，每秒钟多少帧图片(10张) ,size大小
#一般人眼最低分辨率为19帧/秒
videoWrite = cv2.VideoWriter(\'2.mp4\',-1,10,size) 

for i in range(1,40):
    filename = \'image\'+str(i)+\'.jpg\'
    img = cv2.imread(filename,1)  #1 表示彩图，0表示灰度图  
    
    #直接写入图片对应的数据
    videoWrite.write(img)  

videoWrite.release() #关闭写入对象
print(\'end\')
     

三、python视频拆分(源码三)

import cv2 #导入opencv模块
import os
import time
 
def video_split(video_path,save_path):
    \'\'\'
    对视频文件切割成帧
    \'\'\'
    \'\'\'
    @param video_path:视频路径
    @param save_path:保存切分后帧的路径
    \'\'\'
    vc=cv2.VideoCapture(video_path)
    #一帧一帧的分割 需要几帧写几
    c=0
    if vc.isOpened():
        rval,frame=vc.read()
    else:
        rval=False
    while rval:
        rval,frame=vc.read()
        # 每秒提取2帧图片
        if c % 2 == 0:
            cv2.imwrite(save_path + \"/\" + str(\'%06d\'%c)+\'.jpg\',frame)
            cv2.waitKey(1)
        c=c+1
 
DATA_DIR = r\"E:\\py\\python3.7\\test\\test98youhuashiping\\ceshi\\mp4\" #视频数据主目录
 
SAVE_DIR = r\"E:\\py\\python3.7\\test\\test98youhuashiping\\ceshi\\pho2\" #帧文件保存目录
 
start_time = time.time()
for parents,dirs,filenames in os.walk(DATA_DIR):
    #if parents == DATA_DIR:
    #    continue
 
    print(\"正在处理文件夹\",parents)
    path = parents.replace(\"\\\\\",\"//\")
    f = parents.split(\"\\\\\")[1]
    save_path = SAVE_DIR + \"//\" + f
    # 对每视频数据进行遍历
    for file in filenames:
        file_name = file.split(\".\")[0]
        save_path_ = save_path + \"/\" + file_name
        if not os.path.isdir(save_path_):
            os.makedirs(save_path_)
        video_path = path + \"/\" + file
        video_split(video_path,save_path_)
 
end_time = time.time()
print(\"Cost time\",start_time - end_time)