python实现视频分帧效果

Python  /  管理员 发布于 7年前   246

本文实例为大家分享了python实现视频分帧的具体代码，供大家参考，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

# 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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