from PIL import Image
codeLib = '''@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/|()1{}[]?-_+~<>i!lI;:,"^`'. ''' #生成字符画所需的字符集
count = len(codeLib)
def transform1(image_file):
image_file = image_file.convert("L") #转换为黑白图片,参数"L"表示黑白模式
codePic = ''
for h in range(0,image_file.size[1]): #size属性表示图片的分辨率,'0'为横向大小,'1'为纵向
for w in range(0,image_file.size[0]):
gray = image_file.getpixel((w,h)) #返回指定位置的像素,如果所打开的图像是多层次的图片,那这个方法就返回一个元组
codePic = codePic + codeLib[int(((count-1)*gray)/256)] #建立灰度与字符集的映射
codePic = codePic+'
'
return codePic
def transform2(image_file):
codePic = ''
for h in range(0,image_file.size[1]):
for w in range(0,image_file.size[0]):
g,r,b = image_file.getpixel((w,h))
gray = int(r* 0.299+g* 0.587+b* 0.114)
codePic = codePic + codeLib[int(((count-1)*gray)/256)]
codePic = codePic+'
'
return codePic
fp = open(u'xx.jpg','rb')
image_file = Image.open(fp)
image_file=image_file.resize((int(image_file.size[0]*0.75), int(image_file.size[1]*0.5))) #调整图片大小
print (u'Info:',image_file.size[0],' ',image_file.size[1],' ',count)
tmp = open('output.txt','w')
tmp.write(transform2(image_file))
tmp.close()