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

# -*- 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脚本之家。