Python OpenCV对本地视频文件进行分帧保存的实例

 # 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 ""<b style="color:transparent">来源gao@!dai!ma.com搞$$代^@码!网</b>" 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-600" % frame_index, resize_frame) cv2.imwrite(each_video_save_full_path + "%d.jpg-600" % 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)