本文实例为大家分享了python opencv实现视频分帧的具体代码,供大家参考,具体内容如下
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# 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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以上就是本文的全部内容,希望对大家的学习有所帮助,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