本文实例为大家分享了python如何实现视频转代码视频的具体代码,供大家参考,具体内容如下
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# -*- coding:utf-8 -*- #coding:utf-8 import argparse import os import cv2 import subprocess from cv2 import videowriter, videowriter_fourcc, imread, resize from pil import image, imagefont, imagedraw # 命令行输入参数处理 # aparser = argparse.argumentparser() # aparser.add_argument('file') # aparser.add_argument('-o','--output') # aparser.add_argument('-f','--fps',type = float, default = 24)#帧 # aparser.add_argument('-s','--save',type = bool, nargs='?', default = false, const = true) # 是否保留cache文件,默认不保存 # 获取参数 # args = parser.parse_args() # input = args.file # output = args.output # save = args.save # fps = args.fps # 像素对应ascii码 ascii_char = list ( "$@b%8&wm#*oahkbdpqwmzo0qlcjuyxzcvunxrjft/\|()1{}[]?-_+~<>i!li;:oa+>!:+. " ) # ascii_char = list("mnhq$oc67+>!:-. ") # ascii_char = list("mnhq$oc67)oa+>!:+. ") # 将像素转换为ascii码 def get_char(r, g, b, alpha = 256 ): if alpha = = 0 : return '' length = len (ascii_char) gray = int ( 0.2126 * r + 0.7152 * g + 0.0722 * b) unit = ( 256.0 + 1 ) / length return ascii_char[ int (gray / unit)] # 将txt转换为图片 def txt2image(file_name): im = image. open (file_name).convert( 'rgb' ) # gif拆分后的图像,需要转换,否则报错,由于gif分割后保存的是索引颜色 raw_width = im.width raw_height = im.height width = int (raw_width / 6 ) height = int (raw_height / 15 ) im = im.resize((width, height), image.nearest) txt = "" colors = [] for i in range (height): for j in range (width): pixel = im.getpixel((j, i)) colors.append((pixel[ 0 ], pixel[ 1 ], pixel[ 2 ])) if ( len (pixel) = = 4 ): txt + = get_char(pixel[ 0 ], pixel[ 1 ], pixel[ 2 ], pixel[ 3 ]) else : txt + = get_char(pixel[ 0 ], pixel[ 1 ], pixel[ 2 ]) txt + = '\n' colors.append(( 255 , 255 , 255 )) im_txt = image.new( "rgb" , (raw_width, raw_height), ( 255 , 255 , 255 )) dr = imagedraw.draw(im_txt) # font = imagefont.truetype(os.path.join("fonts","汉仪楷体简.ttf"),18) font = imagefont.load_default().font x = y = 0 # 获取字体的宽高 font_w, font_h = font.getsize(txt[ 1 ]) font_h * = 1.37 # 调整后更佳 # imagedraw为每个ascii码进行上色 for i in range ( len (txt)): if (txt[i] = = '\n' ): x + = font_h y = - font_w # self, xy, text, fill = none, font = none, anchor = none, #*args, ** kwargs dr.text((y, x), txt[i], fill = colors[i]) #dr.text((y, x), txt[i], font=font, fill=colors[i]) y + = font_w name = file_name #print(name + ' changed') im_txt.save(name) # 将视频拆分成图片 def video2txt_jpg(file_name): vc = cv2.videocapture(file_name) c = 1 if vc.isopened(): r, frame = vc.read() if not os.path.exists( 'cache' ): os.mkdir( 'cache' ) os.chdir( 'cache' ) else : r = false while r: cv2.imwrite( str (c) + '.jpg' , frame) txt2image( str (c) + '.jpg' ) # 同时转换为ascii图 r, frame = vc.read() c + = 1 os.chdir( '..' ) return vc # 将图片合成视频 def jpg2video(outfile_name, fps): fourcc = videowriter_fourcc( * "mjpg" ) images = os.listdir( 'cache' ) im = image. open ( 'cache/' + images[ 0 ]) vw = cv2.videowriter(outfile_name + '.avi' , fourcc, fps, im.size) os.chdir( 'cache' ) for image in range ( len (images)): # image.open(str(image)+'.jpg').convert("rgb").save(str(image)+'.jpg') frame = cv2.imread( str (image + 1 ) + '.jpg' ) vw.write(frame) #print(str(image + 1) + '.jpg' + ' finished') os.chdir( '..' ) vw.release() # 递归删除目录 def remove_dir(path): if os.path.exists(path): if os.path.isdir(path): dirs = os.listdir(path) for d in dirs: if os.path.isdir(path + '/' + d): remove_dir(path + '/' + d) elif os.path.isfile(path + '/' + d): os.remove(path + '/' + d) os.rmdir(path) return elif os.path.isfile(path): os.remove(path) return # 调用ffmpeg获取mp3音频文件 def video2mp3(file_name): outfile_name = file_name.split( '.' )[ 0 ] + '.mp3' subprocess.call( 'ffmpeg -i ' + file_name + ' -f mp3 ' + outfile_name, shell = true) # 合成音频和视频文件 def video_add_mp3(file_name, mp3_file): outfile_name = file_name.split( '.' )[ 0 ] + '-txt.mp4' subprocess.call( 'ffmpeg -i ' + file_name + ' -i ' + mp3_file + ' -strict -2 -f mp4 ' + outfile_name, shell = true) if __name__ = = '__main__' : input = r "g:\py\学习python\视频到代码\video39.mp4" output = r "g:\py\学习python\视频到代码\video39_2.mp4" save = r "g:\py\学习python\视频到代码\\video39_3" fps = "24" vc = video2txt_jpg( input ) fps = vc.get(cv2.cap_prop_fps) # 获取帧率 print (fps) vc.release() jpg2video( input .split( '.' )[ 0 ], fps) print ( input , input .split( '.' )[ 0 ] + '.mp3' ) video2mp3( input ) video_add_mp3( input .split( '.' )[ 0 ] + '.avi' , input .split( '.' )[ 0 ] + '.mp3' ) if ( not save): remove_dir( "cache" ) os.remove( input .split( '.' )[ 0 ] + '.mp3' ) os.remove( input .split( '.' )[ 0 ] + '.avi' ) |
流程图:
这次python编程的流程图如下:
注意事项:
在编程的过程中有需要注意的几点:
- 这次编程使用到了opencv库,需要安装
- 帧率的获取可以通过这个函数——fps = vc.get(cv2.cap_prop_fps)
- 合成后的视频是没有声音的,我们使用ffmpeg进行合成
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/mp624183768/article/details/81161260