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Python OpenCV对本地视频文件进行分帧保存的实例

2019年03月21日  | 移动技术网IT编程  | 我要评论

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如下所示:

# 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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