opencv+ffmpeg 实现屏幕录制

这是一个被放弃的功能代码，原因是由于在转码的时候会有时间。opencv在抓取屏幕后视频编码后过大的问题，使用了ffmpeg来实现二次的转码。调用了命令行，转码的时间是这个项目无法接受的，所以决定要用C++去重新写一次了。在这里留一个这段代码的墓地。

• 代码如下

#!/usr/bin/env python
# -*- coding: utf-8 -*-
from PIL import ImageGrab
import numpy as np
import cv2
import os
import times
import subprocess

# there ae  path
original_path = r''
output_path = r''

class ScreenRecord():
    """ there are some coding if you don't care the performance """]
    def __init__(self):
        self.startControl = False
        time_now = time.strftime("%Y-%m-%d-%H_%M_%S", time.localtim(time.time()))
        # because the file name should not be same, so we should change it
        self.original_file = original_path + time_now + r'.mov'
        self.output_file = output_path + time_now + r'.mp4'

    def record(self):
        # the core code for recording using opencv pillow and ffmpeg
        try:
            # I don't find a better way to stop it
            print ("Ctrl + c to stop record")
            screen = ImageGrab.grab()
            length, width = screen.size
            video_decode_style = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
            video = cv2.VideoWriter(self.original_file, video_decode_style, 12, (length, width), True)
            while self.startControl == False:
                im = ImageGrab.grab()
                imm = cv2.cvtColor(np.array(im), cv2.COLOR_RGB2BGR)
                video.write(imm)
        except KeyboardInterrupt:
            # release the buff
            video.release()
            cv2.destroyAllwindows()
            # ffmpeg tanslate the file
            command('ffmpeg.exe -i %s -b:v 400k -s 960x540 %s' % (self.original_file, self.output_file))
            subprocess.call(commmand)
            # if file is exsits, we will del it
            if os.path.exists(self.original_file):
                os.remove(self.original_file)
            print ("finshed")


    def start(self):
        self.record()

if __name__ == '__main__':
    ScreenRecord().start()

• 需要下载ffmpeg 并将bin/ffmpeg 放到文件的目录夹下面
• 在Windows环境可以运行
• 可以使用pyinstaller构建Windows 环境下的可执行文件
• 在完成后会有一段时间的转码时间
• C++ 可能会复杂点，但是有windows系统的API可以调用