PythonOpenCV实现视频分帧-创新互联
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

# 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)另外有需要云服务器可以了解下创新互联scvps.cn,海内外云服务器15元起步,三天无理由+7*72小时售后在线,公司持有idc许可证,提供“云服务器、裸金属服务器、高防服务器、香港服务器、美国服务器、虚拟主机、免备案服务器”等云主机租用服务以及企业上云的综合解决方案,具有“安全稳定、简单易用、服务可用性高、性价比高”等特点与优势,专为企业上云打造定制,能够满足用户丰富、多元化的应用场景需求。
文章题目:PythonOpenCV实现视频分帧-创新互联
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