基于python opencv的视频播放调节功能-凯发app官方网站

import numpy as np

import cv2

import time

start_brightness = 0.1

count_keyu = 0

count_keyd = 0  

count_keyz = 0

count_keyj = 0

delay_time = 0

#——————————————————————————————播放视频——————————————————————

#————————添加自己的视频播放路径———————————

video_path="d:/python_test/opao_timex0.1.mp4"

# 创建一个视频读写类

video_capture=cv2.videocapture(video_path)

#读取视频的fps,  大小   每秒传输帧数

fps=video_capture.get(cv2.cap_prop_fps)

size=(video_capture.get(cv2.cap_prop_frame_width),video_capture.get(cv2.cap_prop_frame_height))

#print("fps: {}\nsize: {}".format(fps,size))

#读取视频时长（帧总数）

total = int(video_capture.get(cv2.cap_prop_frame_count))

#print("[info] {} total frames in video".format(total))

#设定从视频的第几帧开始读取

#from :  https://blog.csdn.net/luqinwei/article/details/87973472

frametostart = 00

video_capture.set(cv2.cap_prop_pos_frames, frametostart);

#显示视频

current_frame=frametostart

while  true:

    success, frame = video_capture.read()   

    time.sleep(0.0267)

   # cv2.waitkey(40)    

    if  success == false:

        break

#设置延时，降低播放速度

#    time.sleep(0.0188)

#自定义图像大小

    h, w = frame.shape[:2]  # 三通道

    size = (int(w * 1.0), int(h * 1.0))

    frame = cv2.resize(frame, size)

#显示当前视频已播放时间和总时间

#计算当前时间

    now_seconds=int(current_frame /fps`)

    now_minutes=int(current_frame/fps/60)

    total_second=int(total /fps`)

    total_minutes=int(total/fps/60)

#   { <参数序号> : <填充> <对齐）> <宽度> <,> <.精度> <类型>}.

time_now_vs_total="time:{:>3}:{:>02}|{:>3}:{:0>2}".format(now_minutes,now_seconds,total_minutes,total_second)

    print(time_now_vs_total)

#--------键盘控制视频---------------

    #读取键盘值

    key = cv2.waitkey(1) & 0xff

    #按键z增长延时，j减少延时。“zeng”、“jian”,实现在增长到值开始建

    if key == ord("z"):

        count_keyz = 1

        delay_time = 0 0.02 * count_keyz

        if(delay_time>1.0):

            delay_time = 1.0

    if key == ord("j"):

            count_keyj = 1

            delay_time = delay_time - 0.02 * count_keyj

            if(delay_time<0):

                delay_time = 0

            time.sleep(delay_time)

#    print(delay_time)

    time.sleep(delay_time)

    #设置空格按下时暂停

    if key == ord(" "):

        cv2.waitkey(1)

    #设置q按下时退出

    if key == ord("q"):

        break

    #按下u，上升计数器加1，表示亮度增加，即up

    if key == ord("u"):

        count_keyu =1

     #   print(count_keyu)

        brightness  = start_brightness count_keyu * 0.3

      #  print(brightness)

        if(brightness>2):

            brightness = 1.9

            count_keyu = 0            

        #确保brightness的结果是保留一位小数，计算时经常出现0.00000000000000009或0.00000000000000001的误差

        brightness_str =format(brightness, '.1f')            

        new_video_path = video_path[:25] brightness_str '.mp4'

        video_capture = cv2.videocapture(new_video_path)

        frametostart = now_seconds * fps

        video_capture.set(cv2.cap_prop_pos_frames, frametostart);

        print(new_video_path)

    #按下d，下降计数器加1，表示亮度下调，即down

    if key == ord("d"):

         count_keyd = 1

         brightness = start_brightness count_keyu * 0.3 - count_keyd * 0.3  #表示亮度的变量

         if(brightness

             brightness = 0.1

             count_keyd = 0       

         #确保brightness的结果是保留一位小数，计算时经常出现0.00000000000000009或0.00000000000000001的误差

         brightness_str = format(brightness, '.1f')  

         new_video_path = video_path[:25] brightness_str '.mp4'

         video_capture=cv2.videocapture(new_video_path)

         frametostart = now_seconds * fps

         video_capture.set(cv2.cap_prop_pos_frames, frametostart);

#         print(new_video_path)

    #  puttext(img, text, org, fontface, fontscale, color, thickness=none, linetype=none, bottomleftorigin=none):

    cv2.puttext(frame,time_now_vs_total,(300,50),cv2.font_hershey_simplex,2,(0,0,255),3)

    cv2.imshow("frame",frame)

    #人工对视频帧数进行计数

    current_frame = 1

video_capture.release()