Python+opencv+pyaudio实现带声音屏幕录制
基于个人的爱好和现实的需求,决定用Python做一个屏幕录制的脚本。因为要看一些加密的视频,每次都要登录,特别麻烦,遂决定用自己写的脚本,将加密视频的播放过程全程录制下来,这样以后看自己的录播就好了。结合近期自己学习的内容,正好用Python来练练手,巩固自己的学习效果。
经过多番搜索,决定采用Python+opencv+pyaudio来实现屏幕录制。网上搜索到的录屏,基本都是不带声音的,而我要实现的是带声音的屏幕录制。下面就开始一步一步的实现吧。
声音录制
import pyaudio import wave import sys CHUNK = 1024 if len(sys.argv) < 2: print("Plays a wave file.\n\nUsage: %s filename.wav" % sys.argv[0]) sys.exit(-1) wf = wave.open(sys.argv[1], 'rb') p = pyaudio.PyAudio() stream = p.open(format=p.get_format_from_width(wf.getsampwidth()), channels=wf.getnchannels(), rate=wf.getframerate(), output=True) data = wf.readframes(CHUNK) while data != '': stream.write(data) data = wf.readframes(CHUNK) stream.stop_stream() stream.close() p.terminate()
简洁回调函数版音频录制
import pyaudio import wave import time import sys CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 2 RATE = 44100 RECORD_SECONDS = 10 WAVE_OUTPUT_FILENAME = "output.wav" p = pyaudio.PyAudio() wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb') wf.setnchannels(CHANNELS) wf.setsampwidth(p.get_sample_size(FORMAT)) wf.setframerate(RATE) time_count = 0 def callback(in_data, frame_count, time_info, status): wf.writeframes(in_data) if(time_count < 10): return (in_data, pyaudio.paContinue) else: return (in_data, pyaudio.paComplete) stream = p.open(format=p.get_format_from_width(wf.getsampwidth()), channels=wf.getnchannels(), rate=wf.getframerate(), input=True, stream_callback=callback) stream.start_stream() print("* recording") while stream.is_active(): time.sleep(1) time_count += 1 stream.stop_stream() stream.close() wf.close() p.terminate() print("* recording done!")
视频录制(无声音)
from PIL import ImageGrab import numpy as np import cv2 image = ImageGrab.grab()#获得当前屏幕 width = image.size[0] height = image.size[1] print("width:", width, "height:", height) print("image mode:",image.mode) k=np.zeros((width,height),np.uint8) fourcc = cv2.VideoWriter_fourcc(*'XVID')#编码格式 video = cv2.VideoWriter('test.avi', fourcc, 25, (width, height)) #输出文件命名为test.mp4,帧率为16,可以自己设置 while True: img_rgb = ImageGrab.grab() img_bgr=cv2.cvtColor(np.array(img_rgb), cv2.COLOR_RGB2BGR)#转为opencv的BGR格式 video.write(img_bgr) cv2.imshow('imm', img_bgr) if cv2.waitKey(1) & 0xFF == ord('q'): break video.release() cv2.destroyAllWindows()
录制的音频与视频合成为带声音的视频
录制200帧,带音频的MP4视频,单线程
import wave from pyaudio import PyAudio,paInt16 from PIL import ImageGrab import numpy as np import cv2 from moviepy.editor import * from moviepy.audio.fx import all import time CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 2 RATE = 44100 WAVE_OUTPUT_FILENAME = "output.wav" p = pyaudio.PyAudio() wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb') wf.setnchannels(CHANNELS) wf.setsampwidth(p.get_sample_size(FORMAT)) wf.setframerate(RATE) audio_record_flag = True def callback(in_data, frame_count, time_info, status): wf.writeframes(in_data) if audio_record_flag: return (in_data, pyaudio.paContinue) else: return (in_data, pyaudio.paComplete) stream = p.open(format=p.get_format_from_width(wf.getsampwidth()), channels=wf.getnchannels(), rate=wf.getframerate(), input=True, stream_callback=callback) image = ImageGrab.grab()#获得当前屏幕 width = image.size[0] height = image.size[1] print("width:", width, "height:", height) print("image mode:",image.mode) k=np.zeros((width,height),np.uint8) fourcc = cv2.VideoWriter_fourcc(*'XVID')#编码格式 video = cv2.VideoWriter('test.mp4', fourcc, 9.5, (width, height)) #经实际测试,单线程下最高帧率为10帧/秒,且会变动,因此选择9.5帧/秒 #若设置帧率与实际帧率不一致,会导致视频时间与音频时间不一致 print("video recording!!!!!") stream.start_stream() print("audio recording!!!!!") record_count = 0 while True: img_rgb = ImageGrab.grab() img_bgr=cv2.cvtColor(np.array(img_rgb), cv2.COLOR_RGB2BGR)#转为opencv的BGR格式 video.write(img_bgr) record_count += 1 if(record_count > 200): break print(record_count, time.time()) audio_record_flag = False while stream.is_active(): time.sleep(1) stream.stop_stream() stream.close() wf.close() p.terminate() print("audio recording done!!!!!") video.release() cv2.destroyAllWindows() print("video recording done!!!!!") print("video audio merge!!!!!") audioclip = AudioFileClip("output.wav") videoclip = VideoFileClip("test.mp4") videoclip2 = videoclip.set_audio(audioclip) video = CompositeVideoClip([videoclip2]) video.write_videofile("test2.mp4",codec='mpeg4')
看来要提高帧率必须使用队列加多线程了,这一步等到以后来添加吧。不过总是觉得用OpenCV来实现视频录制,有点怪异,毕竟opencv是用来做图像与视频分析的,还是走正道认真捣鼓opencv该做的事情吧。
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