def test():
download_image("http://jwxt.bupt.edu.cn/validateCodeAction.do?random=",name="hello")
image=Img(fname="hello.jpg")
image.binary()
images=image.divide()
vcodes=[]
for temp in images:
vcodes.append(temp.recognise())
vcode_result=''.join(vcodes)
print(vcode_result)
def train2():
for i in range(10):
try:
os.mkdir(fontpath)
except:
print(fontpath+" exist!")
download_image("http://jwxt.bupt.edu.cn/validateCodeAction.do?random=")
img=Img(fname="vcode.jpg")
img.binary()
img.save("tempBinary.jpg")
img.show()
images=img.divide()
random.randint(1,100)
for i in images:
result=i.recognise()
print("hello:"+result)
x=input()
if x=="": #如果上面识别结果没错，输入回车则保存特征值。否则随意输入其他字符，跳过
f=open(fontpath+result+"-"+str(random.randint(1,100))+".txt","w+")
f.write(i.get_feature())
f.close()
def train():
for i in range(10):
try:
os.mkdir(fontpath)
except:
print(fontpath+" exist!")
download_image("http://jwxt.bupt.edu.cn/validateCodeAction.do?random=")
img=Img(fname="vcode.jpg")
img.binary()
img.save("tempBinary.jpg")
img.show()
x=input()
if x=="next": #如果分割破坏严重或者二值化后图片花了，直接输入next跳过该图片，以免污染字库
continue
images=img.divide()
random.randint(1,100)
for s,i in zip(x,images):
f=open(fontpath+s+"-"+str(random.randint(1,100))+".txt","w+")
f.write(i.get_feature()) #将特征值保存
f.close()
