Python怎么实现视频分解成图片及图片合成视频

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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 cv2import osimport numpy as npfrom 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)

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二、python视频拆分+图片合成(源码二)

import cv2import numpy as npimport osos.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.shapesize = (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 osimport 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('d'%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)

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