def get_code():
url = 'http://www.rongtudai.com/validimg.html'
f = requests.get(url)
print(f)
with open("code.jpg", "wb") as code:
code.write(f.content)
img = Image.open('code.jpg')
img = img.convert("RGBA")
pixdata = img.load()
for y in range(img.size[1]):
for x in range(img.size[0]):
if pixdata[x, y][0] < 90:
pixdata[x, y] = (0, 0, 0, 255)
for y in range(img.size[1]):
for x in range(img.size[0]):
if pixdata[x, y][1] < 136:
pixdata[x, y] = (0, 0, 0, 255)
for y in range(img.size[1]):
for x in range(img.size[0]):
if pixdata[x, y][2] > 0:
pixdata[x, y] = (255, 255, 255, 255)
img.save('newcode.jpg')
img = Image.open('newcode.jpg')
vcode = image_to_string(img)
return vcode
def get_code(self, url):
# url = 'http://www.rongtudai.com/validimg.html'
try:
f = requests.get(url)
print(f)
name = url[-39:-19]
path = '/codepic/' + name
with open(path, "wb") as code:
code.write(f.content)
img = Image.open(path)
img = img.convert("RGBA")
pixdata = img.load()
for y in range(img.size[1]):
for x in range(img.size[0]):
if pixdata[x, y][0] < 90:
pixdata[x, y] = (0, 0, 0, 255)
for y in range(img.size[1]):
for x in range(img.size[0]):
if pixdata[x, y][1] < 136:
pixdata[x, y] = (0, 0, 0, 255)
for y in range(img.size[1]):
for x in range(img.size[0]):
if pixdata[x, y][2] > 0:
pixdata[x, y] = (255, 255, 255, 255)
img.save('/codepic/' + 'newcode.gif')
img = Image.open('/codepic/' + 'newcode.gif')
vcode = image_to_string(img)
except:
vcode = [8080, 80, 8888, 3128, 9999] #反正识别不出来我将默认的端口全部试一遍
return vcode
def get_code():
url = 'http://www.rongtudai.com/validimg.html'
f=requests.get(url)
print(f)
with open("code.jpg", "wb") as code:
code.write(f.content)
img = Image.open('code.jpg')
img = img.convert("RGBA")
pixdata = img.load()
for y in range(img.size[1]):
for x in range(img.size[0]):
if pixdata[x, y][0] < 90:
pixdata[x, y] = (0, 0, 0, 255)
for y in range(img.size[1]):
for x in range(img.size[0]):
if pixdata[x, y][1] < 136:
pixdata[x, y] = (0, 0, 0, 255)
for y in range(img.size[1]):
for x in range(img.size[0]):
if pixdata[x, y][2] > 0:
pixdata[x, y] = (255, 255, 255, 255)
img.save('newcode.jpg')
img = Image.open('newcode.jpg')
vcode =image_to_string(img)
return vcode
def getverify1(name):
# 打开图片
im = Image.open(name)
# 转化到灰度图
imgry = im.convert('L')
# 保存图像
imgry.save('g' + name.split('/')[-1])
# 二值化，采用阈值分割法，threshold为分割点
out = imgry.point(table, '1')
out.save('b' + name.split('/')[-1])
# 识别
text = pytesser3.image_to_string(out)
# 识别对吗
text = text.strip()
text = text.upper()
for r in rep:
text = text.replace(r, rep[r])
# out.save(text+'.jpg')
print(text)
return text
def recognize_captcha(self):
print('正在识别验证码!!!')
# 灰度化
img = Image.open('captcha.jpg')
img = img.convert('L')
# 二值化
pixdata = img.load()
width, height = img.size
threshold = sum(img.getdata()) / (width * height) # 计算图片的平均阈值
# 遍历所有像素，大于阈值的为白色
for y in range(height):
for x in range(width):
if pixdata[x, y] < threshold:
pixdata[x, y] = 0
else:
pixdata[x, y] = 255
# 去掉黑边
for y in range(height):
pixdata[0, y] = 255
pixdata[width - 1, y] = 255
for x in range(width):
pixdata[x, 0] = 255
pixdata[x, height - 1] = 255
# 降噪
N = 2
for y in range(1, height - 1):
for x in range(1, width - 1):
count = 0
if pixdata[x, y - 1] == 255: # 上
count = count + 1
if pixdata[x, y + 1] == 255: # 下
count = count + 1
if pixdata[x - 1, y] == 255: # 左
count = count + 1
if pixdata[x + 1, y] == 255: # 右
count = count + 1
if count > N:
pixdata[x, y] = 255 # 设置为白色
captcha_code = pytesser3.image_to_string(img).strip()
print(captcha_code)
return captcha_code
def mode_by_num(s, n):
if n == '1':
im = get_code(s, codeurl)
p_im = multiprocessing.Process(target=im_show, args=(im, ))
p_im.start()
code = input("验证码内容为：")
p_im.join(3)
return code
elif n == '2':
try:
im = get_code(s, codeurl, False)
code = pytesser3.image_to_string(im)
except:
return 2
print('验证码为：', code)
return code
elif n == '3':
# 加载模型，预测结果------------------------------------
pass
return '0000'
else:
return 0
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.3202.62 Safari/537.36",
"Accept": "*/*",
"Accept-Encoding": "gzip, deflate",
"Accept-Language": "zh-CN,zh;q=0.9",
"Connection": "keep-alive"
}
# def get_url(url):
# content=requests.get(url,headers=headers)
def pre_process():
threshold = 0.5
table = []
for i in range(256):
if (i < threshold):
table.append(0)
else:
table.append(1)
return table
link = r"C:\Users\john\Downloads\1.bmp"
im = Image.open(link) #打开图片
imagry = im.convert("L")
# imagry.show()
# table=pre_process()
# out=imagry.point(table,"1")
# out.show()
print(pytesser3.image_to_string(imagry))
def ocr(self):
import pytesser3
from PIL import Image
tt = pytesser3.image_to_string(Image.open(self.img))
print(tt)
def captcha(self, img):
# 输入Image.Image格式
# TODO FileNotFound
s = pytesser3.image_to_string(img)
return s
def scan():
image = cv2.imread("paper6.jpg")
ratio = image.shape[0] / 500.0
orig = image.copy()
image = imutils.resize(image, height=500)
kernel = cv2.getStructuringElement(cv2.MORPH_ERODE, (5, 5))
image = cv2.erode(image, kernel, iterations=1)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (5, 5), 0)
edged = cv2.Canny(gray, 30, 175)
cnts = cv2.findContours(edged.copy(), cv2.RETR_LIST,
cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if imutils.is_cv2() else cnts[1]
cnts = sorted(cnts, key=cv2.contourArea, reverse=True)[:5]
for c in cnts:
peri = cv2.arcLength(c, True)
approx = cv2.approxPolyDP(c, 0.02 * peri, True)
if len(approx) == 4:
screenCnt = approx
break
cv2.drawContours(image, [screenCnt], -1, (0, 255, 0), 2)
warped = four_point_transform(orig, screenCnt.reshape(4, 2) * ratio)
# convert the warped image to grayscale, then threshold it
# to give it that 'black and white' paper effect
warped = cv2.cvtColor(warped, cv2.COLOR_BGR2GRAY)
T = threshold_local(warped, 11, offset=10, method="gaussian")
warped = (warped > T).astype("uint8") * 255
warped = cv2.threshold(warped, 0, 255,
cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
filename = "{}.png".format(os.getpid())
cv2.imwrite(filename, warped)
import builtins
img = Image.open(filename)
try:
builtins.open = bin_open
bts = pytesser3.image_to_string(img)
finally:
builtins.open = original_open
os.remove(filename)
file = open("text.txt", "x")
file = open("text.txt", "r+")
file.write(str(bts, 'cp1252', 'ignore'))
file.close()
file = open("text.txt", "r+")
f = open("temp.txt", "x")
f = open("temp.txt", "r+")
while True:
c = file.read(1)
if not c:
break
if ord(c) < 126:
f.write(c)
f.close()
file.close()
os.remove("text.txt")
os.renames("temp.txt", "text.txt")
for y in range(1, h - 1):
for x in range(1, w - 1):
count = 0
if pixdata[x, y - 1] > 245:
count += 1
if pixdata[x, y + 1] > 245:
count += 1
if pixdata[x - 1, y] > 245:
count += 1
if pixdata[x + 1, y] > 245:
count += 1
if count > 3:
pixdata[x, y] = 255
return image
#
# image = Image.open('code.jpg')
# im = binaring(image=image)
# im.show()
# im = depoint(im)
# im.show()
from pytesser3 import image_to_string
image = Image.open('code.jpg')
image = binaring(image)
image = depoint(image)
print(image_to_string(image))
print("666")
print(u"\u5218\u6653\u78ca")
HomePage_req=session.get(url)
g_cookie=HomePage_req.headers['set-cookie']
print(g_cookie)
HomePage_html=HomePage_req.text
HomePage_soup=BeautifulSoup(HomePage_html, 'html.parser')
checkcodeurl = url+HomePage_soup.find('img', {'id':'yw0'})['src']
checkcode = session.get(url=checkcodeurl, headers=headers).content
with open('./check.png', 'wb') as f:
f.write(checkcode)
f.close()
image=PIL.Image.open('./check.png')
image.show()
imgry = image.convert('L')
code = pytesser3.image_to_string(imgry).strip()
print(count)
print(code)
params={
'userName':'******',
'password':'******',
'verifyCode':code
}
response = session.get('https://data.cma.cn/user/Login.html', params=params)
result = response.text
print(u"登录消息为："+result)
print("*"*100)
count=count+1
#print(response.headers)
cookies=response.headers['set-cookie']
#print(cookies)
# -*- coding:utf-8 -*-
from PIL import Image
import pytesser3
image = Image.open(r'E:\python\queryhb\oriimg\8.gif')
imgry = image.convert('L')
threshold = 140
table = []
for i in range(256):
if i < threshold:
table.append(0)
else:
table.append(1)
out = imgry.point(table, '1')
out.show()
text = pytesser3.image_to_string(out)
#print(pytesser.image_file_to_string(r'E:\python\queryhb\oriimg\1.gif'))
print(text)
def verfyCode(self,
driver,
ID=None,
Class=None,
css=None,
link_text=None,
xpath=None):
vCodePath = os.path.join(os.path.abspath(".."), 'verPic')
if not os.path.exists(vCodePath):
os.mkdir(vCodePath)
# 保存图片
imagePath = vCodePath + '\\' + 'CreateCaptcha.png'
driver.get_screenshot_as_file(imagePath)
if ID != None:
ID = str(ID)
# 获取验证码的x，y
self.imageEle = driver.find_element_by_id(ID)
if Class != None:
Class = str(Class)
# 获取验证码的x，y
self.imageEle = driver.find_element_by_class_name(Class)
if css != None:
css = str(css)
# 获取验证码的x，y
self.imageEle = driver.find_element_by_css_selector(css)
if link_text != None:
link_text = str(link_text)
# 获取验证码的x，y
self.imageEle = driver.find_element_by_link_text(link_text)
if xpath != None:
xpath = str(xpath)
# 获取验证码的x，y
self.imageEle = driver.find_element_by_xpath(xpath)
location = self.imageEle.location
# 获取size
size = self.imageEle.size
self.codeRange = (int(location['x']), int(location['y']),
int(location['x'] + size['width']),
int(location['y'] + size['height']))
# print(size)
# 打开png图片
imageTemp = Image.open(imagePath)
imageFrame = imageTemp.crop(self.codeRange) #截取验证码图片区域
imageFrame.save(imagePath)
time.sleep(2)
image = Image.open(imagePath)
image = image.convert(
'L') #图像加强，二值化，PIL中有九种不同模式。分别为1，L，P，RGB，RGBA，CMYK，YCbCr，I，F。L为灰度图像
ImageEnhance.Contrast(image) # 对比度增强
threshold = 80 #设定阈值
table = []
for i in range(256):
if i < threshold:
table.append(0)
else:
table.append(1)
# print(table)
image.point(table, '1')
# image = image.convert('RGBA')
# picData = image.load()
# for y in range(image.size[1]):
# for x in range(image.size[0]):
# # 循环图像里的每一个像素。每个像素为一个长度为4的列表。因为图片转换成RGBA模式，所以列表长度为4，A就是透明度
# if picData[x, y][0] > 80 and picData[x, y][1] > 80 and picData[x, y][2] > 80 and picData[x, y][3] > 80:
# picData[x, y] = (255, 255, 255, 0)
# else:
# picData[x, y] = (0, 0, 0, 0)
# image.resize((500,400))
#image.show()
result = pytesser3.image_to_string(image).replace(' ', '').replace(
'"', '').replace('-', '').replace('.',
'').replace('`',
'').replace(';', '')
print(u'验证码为：%s' % result)
return result
pixdata = image.load()
# print(pixdata)
w, h = image.size
for y in range(h):
for x in range(w):
# print(pixdata[x,y])
pix_l.append(pixdata[x, y])
if pixdata[x, y] < threshold:
pixdata[x, y] = 0
else:
pixdata[x, y] = 255
return image
from pytesser3 import image_to_string
# from pytesser3 import image_file_to_string
from PIL import Image
tesseract_exe_name = 'c:\\Program Files (x86)\\Tesseract-OCR\\tesseract'
image = Image.open('db\\qwq.png')
pix_l = []
# image.show()
# pix_l_set = sorted(list(set(pix_l)))
# print(pix_l_set[:len(pix_l_set)//2]) # 求平均数的值
image2 = binaring(image) # 二值化
image3 = depoint(image2) # 降噪
# image3.show()
# 识别文字
print('code: ', image_to_string(image3))
except:
''
j = j + 1
book_lst = 'http://211.87.177.4/reader/book_lst.php'
r = urllib.request.urlopen(
urllib.request.Request(
url=book_lst, headers=getHeaders(Cookie))).read().decode('utf-8')
soup = BeautifulSoup(r, "lxml")
info = soup.find_all('li')[10].string
#print(info)
if (info):
verify = "1234"
else:
img = Image.open("verify.png")
verify = pytesser3.image_to_string(img)
verify = verify[0:4]
#print(verify)
post_url = 'http://211.87.177.4/reader/redr_verify.php'
post_data = {
'number': '你的学号',
'passwd': '你的图书馆密码',
'captcha': verify,
'select': 'cert_no',
'returnUrl': ''
}
book_lst = 'http://211.87.177.4/reader/book_lst.php'
#print(urllib.request.urlopen(urllib.request.Request(url=post_url, data=urllib.parse.urlencode(post_data).encode('utf-8'),headers=getHeaders(Cookie))).read().decode('utf-8'))
s = urllib.request.urlopen(
urllib.request.Request(