python学习 3.8

代码如下：

#coding:utf-8
from PIL import Image
#要索引的字符列表
ascii_char = list("$@B%8&WM#oahkbdpqwmZO0QLCJUYXzcvunxrjft/|()1{}[]?-_+~<>i!lI;:,"^`’. ")
length = len(ascii_char)
img = Image.open(‘I:/111.jpg’) #读取图像文件
(width,height) = img.size
img = img.resize((int(width0.5),int(height*0.2))) #对图像进行一定缩小,图片的大小可以根据上传图片的大小来按需调节，
print(img.size)
def convert(img):
img = img.convert(“L”) # 转为灰度图像
txt = “”
for i in range(img.size[1]):
for j in range(img.size[0]):
gray = img.getpixel((j, i)) # 获取每个坐标像素点的灰度
unit = 256.0 / length
txt += ascii_char[int(gray / unit)] #获取对应坐标的字符值
txt += ‘\n’
return txt

def convert1(img):
txt = “”
for i in range(img.size[1]):
for j in range(img.size[0]):
r,g,b = img.getpixel((j, i)) #获取每个坐标像素点的rgb值
gray = int(r * 0.299 + g * 0.587 + b * 0.114) #通过灰度转换公式获取灰度
unit = (256.0+1)/length
txt += ascii_char[int(gray / unit)] # 获取对应坐标的字符值
txt += ‘\n’
return txt

txt = convert(img)
f = open(“03_convert.txt”,“w”)
f.write(txt) #存储到文件中
f.close()
txt1 = convert(img)
txt1

**
结果如下：**