python实现视频分帧效果_F11 - 专业站长和开发者的学习网站

本篇文章介绍python实现视频分帧效果

具体内容如下：

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

python tools：将视频的每一帧提取并保存-[-/a>

# 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, height, time_interval)