如下所示:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
|
# coding=utf-8 import os import cv2 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) |
以上这篇Python OpenCV对本地视频文件进行分帧保存的实例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/bskfnvjtlyzmv867/article/details/79970146