Python 图片转字符图

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 = 80ascii_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 = Falseframe_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()