Python实现视频分帧提取的两种方法

何川

发布时间：2026-10-13| 3人浏览过

原创

本文介绍使用Python和OpenCV库实现视频分帧的两种方案。第一种针对单个视频文件，逐帧读取并保存为JPEG图片；第二种通过遍历指定目录下的多种格式视频，按固定时间间隔提取帧并调整尺寸后保存。代码包含路径配置、格式过滤及异常处理逻辑，适用于图像预处理或视频分析场景。

单视频逐帧提取实现

本文分享使用Python进行视频分帧处理的具体代码实现，供读者参考学习。


import cv2 
vidcap = cv2.VideoCapture('005.avi') 
success,image = vidcap.read() 
count = 0 
success = True 
while success: 
 success,image = vidcap.read() 
 cv2.imwrite("frame%d.jpg" % count, image)  # save frame as JPEG file 
 if cv2.waitKey(10) == 27:      
  break 
 count += 1

多视频批量分帧处理

利用Python工具将视频序列中的每一帧图像提取出来，并保存为独立的图片文件。


# coding=utf-8 
 
import os 
import cv2 
 
videos_src_path = "/home/wgp/视频/" 
video_formats = [".MP4", ".MOV"] 
frames_save_path = "/home/wgp/视频/" 
width = 320 
height = 240 
time_interval = 50 
 
 
def video2frame(video_src_path, formats, frame_save_path, frame_width, frame_height, interval): 
 """ 
 将视频按固定间隔读取写入图片 
 :param video_src_path: 视频存放路径 
 :param formats:　包含的所有视频格式 
 :param frame_save_path:　保存路径 
 :param frame_width:　保存帧宽 
 :param frame_height:　保存帧高 
 :param interval:　保存帧间隔 
 :return:　帧图片 
 """ 
 videos = os.listdir(video_src_path) 
 
 def filter_format(x, all_formats): 
  if x[-4:] in all_formats: 
   return True 
  else: 
   return False 
 
 videos = filter(lambda x: filter_format(x, formats), videos) 
 
 for each_video in videos: 
  print "正在读取视频：", each_video 
 
  each_video_name = each_video[:-4] 
  os.mkdir(frame_save_path + each_video_name) 
  each_video_save_full_path = os.path.join(frame_save_path, each_video_name) + "/" 
 
  each_video_full_path = os.path.join(video_src_path, each_video) 
 
  cap = cv2.VideoCapture(each_video_full_path) 
  frame_index = 0 
  frame_count = 0 
  if cap.isOpened(): 
   success = True 
  else: 
   success = False 
   print("读取失败!") 
 
  while(success): 
   success, frame = cap.read() 
   print "---> 正在读取第%d帧:" % frame_index, success 
 
   if frame_index % interval == 0: 
    resize_frame = cv2.resize(frame, (frame_width, frame_height), interpolation=cv2.INTER_AREA) 
    # cv2.imwrite(each_video_save_full_path + each_video_name + "_%d.jpg" % frame_index, resize_frame) 
    cv2.imwrite(each_video_save_full_path + "%d.jpg" % frame_count, resize_frame) 
    frame_count += 1 
 
   frame_index += 1 
 
 cap.release() 
 
 
if __name__ == '__main__': 
 video2frame(videos_src_path, video_formats, frames_save_path, width, height, time_interval)

以上即为本文的全部内容，希望这些代码能对您的学习或开发工作提供帮助，欢迎继续支持本站获取更多技术资源。