import cv2
import sys
import time
dt = "2019-01-23 15:29:00"
#转换成时间数组
timeArray = time.strptime(dt, "%Y-%m-%d %H:%M:%S")
#转换成时间戳
timestamp = time.mktime(timeArray)
print(timeArray)
print(timestamp)
cap_1 = cv2.VideoCapture(1)
cap_1.set(3,1920)
cap_1.set(4,1080)
# cap_2 = cv2.VideoCapture(2)
# cap_3 = cv2.VideoCapture(3)
# cap_4 = cv2.VideoCapture(4)
write_ok = False
sz = (int(cap_1.get(cv2.CAP_PROP_FRAME_WIDTH)),
int(cap_1.get(cv2.CAP_PROP_FRAME_HEIGHT)))
fps = 30
fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
# fourcc = cv2.VideoWriter_fourcc(*'mpeg')
vout_1 = cv2.VideoWriter()
vout_1.open('./1/output.mp4',fourcc,fps,sz,True)
# vout_2 = cv2.VideoWriter()
# vout_2.open('./2/output.mp4',fourcc,fps,sz,True)
# vout_3 = cv2.VideoWriter()
# vout_3.open('./3/output.mp4',fourcc,fps,sz,True)
cnt = 0
while(True):
if(write_ok):
# print("video")
#获取当前时间
time_now = int(time.time())
#转换成localtime
# time_local = time.localtime(time_now)
print(time_now)
if time_now >= timestamp:
while(cnt < 900):
cnt += 1
print(cnt)
ret_1, frame_1 = cap_1.read()
vout_1.write(frame_1)
# ret_2, frame_2 = cap_2.read()
# vout_2.write(frame_2)
# ret_3, frame_3 = cap_3.read()
# vout_3.write(frame_3)
vout_1.release()
# vout_2.release()
# vout_3.release()
sys.exit()
else:
print("stop")
ret_1, frame_1 = cap_1.read()
cv2.imshow("cam_1", frame_1)
# ret_2, frame_2 = cap_2.read()
# cv2.imshow("cam_2", frame_2)
# ret_3, frame_3 = cap_3.read()
# cv2.imshow("cam_3", frame_3)
if cv2.waitKey(1) & 0xFF==ord("w"):
write_ok = write_ok is not True
VideoCapture()的使用
#!/usr/bin/env python
#-*- coding:utf-8 -*-
# @Time : 19-4-21 上午10:31
# @Author : chen
"""
VideoCapture()的使用
"""
import cv2
import argparse
import os
import pdb
ap = argparse.ArgumentParser()
ap.add_argument("-v", "--videoPath", default="./video_1.mp4", help="path to input video")
ap.add_argument("-o", "--outputPath", default="grabImages", help="path to output frames")
args = vars(ap.parse_args())
# 初始化,并读取第一帧
# rval表示是否成功获取帧
# frame是捕获到的图像
vc = cv2.VideoCapture(args["videoPath"])
rval, frame = vc.read()
# 获取视频fps
fps = vc.get(cv2.CAP_PROP_FPS)
# 获取视频总帧数
frame_all = vc.get(cv2.CAP_PROP_FRAME_COUNT)
print("[INFO] 视频FPS: {}".format(fps))
print("[INFO] 视频总帧数: {}".format(frame_all))
print("[INFO] 视频时长: {}s".format(frame_all/fps))
outputPath = os.path.sep.join([args["outputPath"]])
if os.path.exists(outputPath) is False:
print("[INFO] 创建文件夹,用于保存提取的帧")
os.mkdir(outputPath)
# 每隔100帧保存一张图片
frame_interval = 100
# 统计当前帧
frame_count = 1
# 保存图片个数
count = 0
while rval:
rval, frame = vc.read()
if frame_count % frame_interval == 0:
filename = os.path.sep.join([outputPath, "test_{}.jpg".format(count)])
cv2.imwrite(filename, frame)
count += 1
print("保存图片:{}".format(filename))
frame_count += 1
# 关闭视频文件
vc.release()
print("[INFO] 总共保存:{}张图片".format(count))