用Python字符串的方式看黑人抬棺，我的快乐就这么简单!

单纯的我，总会有很多快乐

首先先看看成品：

不多说啥废话了，直接给代码吧：

import cv2

import subprocess

from moviepy.editor import *

from PIL import Image,ImageFont,ImageDraw

import os

from cv2 import VideoWriter, VideoWriter_fourcc, imread, resize

def get_char(r,g,b,alpha = 256):

ascii_char = list("#RMNHQODBWGPZ*@$C&98?32I1>!:-;. ")

if alpha == 0:

return ''

length = len(ascii_char)

gray = int(0.2126 * r + 0.7152 * g + 0.0722 * b)

unit = (256.0+1)/len(ascii_char)

return ascii_char[int(gray/unit)]

 

def video_to_pic(vp,video_path):

number = 0

if vp.isOpened():

video = VideoFileClip(video_path)

audio = video.audio

audio.write_audiofile(video_path.split(".")[0]+".mp3")

r,frame = vp.read()

if not os.path.exists('cache_pic'):

os.mkdir('cache_pic')

os.chdir('cache_pic')

else:

r = False

while r:

number += 1

cv2.imwrite(str(number)+'.jpg',frame)

r,frame = vp.read()

print('\n由视频一共生成了{}张图片！'.format(number))

os.chdir("..")

return number, video_path.split(".")[0]+".mp3"

 

 

def img_to_char(image_path,raw_width,raw_height,task):

width = int(raw_width/ 6)

height = int(raw_height / 15)

im = Image.open(image_path).convert('RGB')#必须以RGB模式打开

im = im.resize((width,height),Image.NEAREST)

txt = ''

color = []

for i in range(height):

for j in range(width):

pixel = im.getpixel((j, i))

color.append((pixel[0],pixel[1],pixel[2])) #将颜色加入进行索引

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'

color.append((255,255,255))

 

im_txt = Image.new("RGB",(raw_width,raw_height),(255,255,255))

dr = ImageDraw.Draw(im_txt)

font = ImageFont.load_default().font

x,y = 0,0

font_w,font_h=font.getsize(txt[1])

font_h *= 1.37 #调整字体大小

for i in range(len(txt)):

if(txt[i]=='\n'):

x += font_h

y = -font_w

dr.text((y,x),txt[i] ,fill = color[i])

y+=font_w

os.chdir('cache_char')

im_txt.save(str(task)+'.jpg')

os.chdir("..")

return 0

 

 

def star_to_char(number,save_pic_path):

if not os.path.exists('cache_char'):

os.mkdir('cache_char')

img_path_list = [save_pic_path + r'/{}.jpg'.format(i) for i in range(1,number+1)] #生成目标图片文件的路径列表

task = 0

for image_path in img_path_list:

img_width , img_height = Image.open(image_path).size #获取图片的分辨率

task += 1

img_to_char(image_path, img_width , img_height, task)

print('{}/{} is finished.'.format(task,number))

print('=======================')

print('All image was finished!')

print('=======================')

return 0

 

def jpg_to_video(char_image_path,FPS):

video_fourcc=VideoWriter_fourcc(*"MP42") # 设置视频编码器,这里使用使用MP42编码器,可以生成更小的视频文件

char_img_path_list = [char_image_path + r'/{}.jpg'.format(i) for i in range(1,number+1)] #生成目标字符图片文件的路径列表

char_img_test = Image.open(char_img_path_list[1]).size #获取图片的分辨率

video_writter= VideoWriter('video/new_char_video.mp4' , video_fourcc , FPS , char_img_test)

load = 'loading'

count = 0 #用来清空load进度条的计数

for image_path in char_img_path_list:

img = cv2.imread(image_path)

video_writter.write(img)

load = load + '.'

count += 1

if count % 50 == 0 :

load = 'loading'

print()

print('\r',load,end='')

video_writter.release()

print('\n')

print('=======================')

print('The video is finished!')

print('=======================')

return 'video/new_char_video.mp4'

 

def video_add_mp3(file_name, mp3_file):

outfile_name = file_name.split('.')[0] + '-finish.mp4'

subprocess.call('ffmpeg -i ' + file_name

+ ' -i ' + mp3_file + ' -strict -2 -f mp4 '

+ outfile_name, shell=True)

 

if __name__ == '__main__':

video_path = 'video/video.mp4'

save_pic_path = 'cache_pic'

save_charpic_path = 'cache_char'

 

vp = cv2.VideoCapture(video_path)

number, mp3_file = video_to_pic(vp,video_path)

FPS = vp.get(cv2.CAP_PROP_FPS)

star_to_char(number , save_pic_path)

vp.release()

file_name = jpg_to_video(save_charpic_path,FPS)

video_add_mp3(file_name, mp3_file)

还是很有趣的！