李大仁博客

def video_split():
  video_path = 'test/video/video_01.mp4'
  video_name = video_path[:-4]
  vidcap = cv2.VideoCapture(video_path)
  success,image = vidcap.read()
  fps = int(vidcap.get(cv2.CAP_PROP_FPS))
  count = 0
  while success:
    image = image_process(image)
    cv2.imwrite("%s/%d.jpg" % (video_name, count), image)
    #if count % fps == 0:
    #    cv2.imwrite("%s/%d.jpg" % (video_name, int(count / fps)), image)
    print('Process %dth seconds: ' % int(count / fps), success)
    success,image = vidcap.read()
    count += 1

def video_combine():
    path = 'test/video/video_01/'#文件路径
    filelist = os.listdir(path) #获取该目录下的所有文件名
    filelist.sort(key=alphanum_key)
    fps = 6
    size = (580,420) #图片的分辨率片
    file_path = 'test/video/video_01_out.mp4'#导出路径
    fourcc = cv2.VideoWriter_fourcc('D', 'I', 'V', 'X') #不同视频编码对应不同视频格式（例：'I','4','2','0' 对应avi格式）
    video = cv2.VideoWriter( file_path, fourcc, fps, size)
 
    for item in filelist:
        if item.endswith('.png'):     #判断图片后缀是否是.png
            item = path + '/' + item 
            image = cv2.imread(item)  #使用opencv读取图像，直接返回numpy.ndarray 对象，通道顺序为BGR ，注意是BGR，通道值默认范围0-255。
            video.write(image)        #把图片写进视频
    video.release() #释放