from PIL import Image

import argparse

#命令行输入参数处理

parser = argparse.ArgumentParser()

parser.add_argument('file')                                 #输入文件

parser.add_argument('-o', '--output')                       #输出文件

parser.add_argument('--width', type = int, default = 80)    #输出字符画宽

parser.add_argument('--height', type = int, default = 80)   #输出字符画高

args = parser.parse_args()                                  # 获取参数

IMG = args.file

WIDTH = args.width

HEIGHT = args.height

OUTPUT = args.output

# 我们定义的不重复的字符列表，灰度值小（暗）的用列表开头的符号，灰度值大（亮）的用列表末尾的符号

ascii_char = list("$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. ")

# 将256灰度映射到70个字符上

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)]

if __name__ == '__main__':

    im = Image.open(IMG)

    im = im.resize((WIDTH,HEIGHT), Image.NEAREST)

    txt = ""

    #将图片看成由像素点组成的二维数组，i代表每一行，j代表每一列

    for i in range(HEIGHT):

        for j in range(WIDTH):

            #getpixel()函数的参数是由每个像素点在图片中的相对位置（w，h）组成的元组

            #返回值是一个代表图片像素值的(r,g,b,alpha)元组

            txt += get_char(*im.getpixel((j,i)))

        txt += '\n'

    print(txt)

    #字符画输出到文件

    if OUTPUT:

        with open(OUTPUT,'w') as f:

            f.write(txt)

    else:

        with open("output.txt",'w') as f:

            f.write(txt)

import cv2

import os

show_heigth = 30

show_width = 80

ascii_char = list("$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. ")

#生成一个ascii字符列表

char_len = len(ascii_char)

vc = cv2.VideoCapture("v.mkv")          #加载一个视频

if vc.isOpened():                       #判断是否正常打开

    rval , frame = vc.read()

else:

    rval = False

frame_count = 0

outputList = []                         #初始化输出列表

while rval:   #循环读取视频帧

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)  #使用opencv转化成灰度图

    gray = cv2.resize(gray,(show_width,show_heigth))#resize灰度图

    text = ""

    for pixel_line in gray:

        for pixel in pixel_line:                    #字符串拼接

            text += ascii_char[int(pixel / 256 * char_len )]

        text += "\n"

    outputList.append(text)

    frame_count = frame_count + 1

    if frame_count % 100 == 0:

        print("已处理" + str(frame_count) + "帧")

    rval, frame = vc.read()

print("处理完毕")

for frame in outputList:

    os.system("cls")                    #清屏

    print(frame)

    print()

    print()