Python提取视频帧图片实例代码
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2022-06-16 13:06:06
为了从视频中提取每一帧图片,编写python脚本实现该功能video_path为指定的视频路径interval为指定分割视频是是否跳帧,默认不跳帧,即全部分割width, height 为指定对分割帧...
为了从视频中提取每一帧图片,编写python脚本实现该功能
video_path为指定的视频路径
interval为指定分割视频是是否跳帧,默认不跳帧,即全部分割
width, height 为指定对分割帧图片调整大小,默认不调整
该脚本自动对帧图片编号,设置为7位编码,最多可分割9999999帧图片,即92小时的30fps视频
# !/usr/bin/env python # -*- coding: utf-8 -*- # ============================================================ # @date : 2021/12/08 14:40:31 # @author : lishan # @email : lishan@st.xatu.edu.com # @file : extract.py # @ide : pycharm # @func : extract video image # ============================================================ import os.path import time import cv2 video_path = "./assets/intersection.mp4" idx1 = video_path.rfind('/') idx2 = video_path.rfind('.') save_path = "./assets/" + video_path[idx1+1:idx2] if os.path.exists(save_path): pass else: os.mkdir(save_path) cap = cv2.videocapture(video_path) fps = int(cap.get(cv2.cap_prop_fps)) print('fps:{:.2f}'.format(fps)) rate = cap.get(5) frame_num = cap.get(7) duration = frame_num/rate print('video total time:{:.2f}s'.format(duration)) # width, height = 1920, 1080 cnt = 0 num = 0 # interval = int(fps) * 4 interval = 1 process_num = frame_num // interval print('process frame:{:.0f}'.format(process_num)) t0 = time.time() while cap.isopened(): ret, frame = cap.read() if ret: cnt += 1 if cnt % interval == 0: num += 1 # frame = cv.resize(frame, (width, height)) cv2.imwrite(save_path + "/%07d.jpg" % num, frame) remain_frame = process_num - num t1 = time.time() - t0 t0 = time.time() print("processing %07d.jpg, remain frame: %d, remain time: %.2fs" % (num, remain_frame, remain_frame * t1)) else: break if cv2.waitkey(1) & 0xff == 27: break cap.release() cv2.destroyallwindows() print("done")
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