Python OpenCV实现视频分帧

Ruby

发布时间：2026-10-13 | 6人浏览过

原创

本文介绍了如何使用Python和OpenCV库将视频文件按固定时间间隔提取为静态图片。通过遍历指定目录下的视频文件，利用cv2.VideoCapture读取每一帧，并根据设定的宽高和间隔进行保存。该示例代码展示了从视频源路径到保存路径的完整处理流程，适用于批量视频帧提取场景。

Python OpenCV实现视频分帧

本文分享了一个使用Python结合OpenCV库实现视频分帧功能的具体代码示例，供读者参考学习。

代码实现与参数配置


# 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)

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