def check_degree():
if request.method == 'GET':
return render_template('index.html', js_folder=url_for('static', filename='js'),
img_folder=url_for('static', filename='img'),
css_folder=url_for('static', filename='css'),
verif=1)
horizon = Horizon()
try:
# In this part we try to get the hash of the transaction in order to fetch it from horizon. The hash is easier to get from text,
# that's why it's the first test.
if 'txhash' in request.form and request.form.get('txhash'):
tx = horizon.transaction(request.form.get('txhash'))
elif 'txqr' in request.files:
# If a qrcode is submitted, we have to save it to decode it, which causes security issues.
qr = request.files.get('txqr')
# if user does not select file, browser also
# submit an empty part without filename
if qr.filename == '':
raise Exception("Vous devez spécifier au moins un hash OU un qrcode")
else:
if app.allowed_filename(qr.filename):
fname = secure_filename(qr.filename)
fpath = os.path.join(os.getcwd(), 'static', fname)
qr.save(fpath)
data = qreader.read(fpath)
os.remove(fpath) # We don't need it anymore
tx = horizon.transaction(data)
else:
raise Exception("Merci de ne passer que des images générées par ce site")
else:
raise Exception("Vous devez spécifier au moins un hash OU un qrcode")
# Hashing infos from the form to check the hash with the one in the transaction's memo
name = request.form.get('name')
birthdate = request.form.get('birthdate')
year = request.form.get('year')
h = hash128((name+birthdate+year).encode())
if h == tx.get('memo'):
return render_template('index.html', js_folder=url_for('static', filename='js'),
img_folder=url_for('static', filename='img'),
css_folder=url_for('static', filename='css'),
verif=1, verif_passed=1, id=tx.get('source_account'),
name=name, birthdate=birthdate, year=year)
else:
return render_template('index.html', js_folder=url_for('static', filename='js'),
img_folder=url_for('static', filename='img'),
css_folder=url_for('static', filename='css'),
verif=1, veriferror="Les informations saisies ne correspondent pas avec l'exemplaire du diplôme décerné")
except Exception as e:
return render_template('index.html', js_folder=url_for('static', filename='js'),
img_folder=url_for('static', filename='img'),
css_folder=url_for('static', filename='css'),
verif=1, veriferror=e)
def qrDecode(img):
# 读取灰度值
# 不知道为什么直接使用 cvtColor 转换成灰度图,会多了很多杂点,导致后面二值化后无法分析
_, _, im_gray = cv2.split(img)
# im_gray = cv2.cvtColor(out_tmp.astype('uint8'), cv2.COLOR_BGR2GRAY) # 这个方法出来的图片背景很多白色杂点,而二维码本身变成了灰色的
# 二值化
_, out_tmp = cv2.threshold(im_gray, 100, 255, cv2.THRESH_BINARY)
# cv2.imwrite(os.path.join("tmp", "tmp_{0}_{1}.jpg".format(i, j)), out_tmp, [int(cv2.IMWRITE_JPEG_QUALITY), 100])
# cv2.imshow("threshold", out_tmp)
# cv2.waitKey(0)
# 填充二维码中间黑色区域
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (25, 25))
closed = cv2.morphologyEx(out_tmp, cv2.MORPH_CLOSE, kernel)
# 抹去二维码周边可能存在的小白点
closed = cv2.erode(closed, None, iterations=4)
closed = cv2.dilate(closed, None, iterations=4)
# 不知道是不是前面没有使用cvtColor转换灰度图的原因,后面直接调用findContours会报错,所以这里先将图片合并成一个 BGR的图片,然后再转换成灰度度并再次二值化
closed = cv2.merge([closed, closed, closed])
gray = cv2.cvtColor(closed.astype('uint8'), cv2.COLOR_BGR2GRAY)
_, closed = cv2.threshold(gray, 10, 255, cv2.THRESH_BINARY)
# 查找轮廓
_, cnts, _ = cv2.findContours(closed, cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
tmp = sorted(cnts, key=cv2.contourArea, reverse=True)
if len(tmp) == 0:
return None
c = tmp[0]
# 计算包含轮廓的最小矩形面积(对于没有旋转过的图片,其实不需要这一步)
rect = cv2.minAreaRect(c)
box = np.int0(cv2.boxPoints(rect))
Xs = [i[0] for i in box]
Ys = [i[1] for i in box]
x1 = min(Xs)
x2 = max(Xs)
y1 = min(Ys)
y2 = max(Ys)
crop_height = y2 - y1
crop_width = x2 - x1
# 裁剪为只包含二维码的图片
cropImg = out_tmp[y1:y1 + crop_height, x1:x1 + crop_width]
# 转换为 qreader 可以识别的 pil image
cropImg = Image.fromarray(cropImg.astype('uint8'))
# 尝试识别图中的二维码
try:
qr_data = qreader.read(cropImg)
if qr_data:
# print(data)
return qr_data
except:
return None
## Ref: https://github.com/ewino/qreader #################################################################################### ## IMAGW --> WEBSITE #################################################################################### picPath = 'C:\\Users\\Aaron.Zheng\\Desktop\\Reading PDF\\BackUpSpace\\Self-Learning\\ProgramCode\\Python\\InstallsPackage\\QRPic.jpg' ## KEY: open img from path from PIL import Image import qreader img2 = Image.open(picPath) ##img2.show() data = qreader.read(img2) ### Can NOT work
for i in range(0, 8):
for j in range(0, 8):
im_size = im.size
left = j * 290
top = i * 290
width = 290
height = 290
box = (left, top, left + width, top + height)
area = im.crop(box)
#area.show()
number = qreader.read(area)
array.append(number)
#print str(part) + ": " + str(number)
#sum += number
#print area.size
#area.save("./parts/"+str(part)+".png", "PNG")
#area.close()
#part+=1
#print array
#print len(array)
resultat = 0
for element in array:
resultat += element
#print resultat
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
# pip install git+https://github.com/ewino/qreader.git
# SOURCE: https://github.com/tomerfiliba/reedsolomon/blob/master/reedsolo.py
# pip install reedsolo
import qreader
# FROM FILE
data = qreader.read('../qrcode__generate/qr_code_1.png')
print(data) # Hello World!
# FROM URL
url = 'https://upload.wikimedia.org/wikipedia/commons/8/8f/Qr-2.png'
from urllib.request import urlopen
data = qreader.read(urlopen(url))
print(data) # "Version 2"
url = 'https://upload.wikimedia.org/wikipedia/commons/e/eb/QR-%D0%BA%D0%BE%D0%B4.png'
data = qreader.read(urlopen(url))
print(data) # http://ru.wikipedia.org/wiki/QR_Code
# FROM URL as bytes in file-like object
import requests
rs = requests.get(url)
image_data = rs.content
ImportError: No module named request
>>> for i in 's':
url = 'https://upload.wikimedia.org/wikipedia/commons/8/8f/Qr-2.png'
data = qreader.read(urllib.urlopen(url))
print(data) # prints "Version 2"
Traceback (most recent call last):
File "<pyshell#4>", line 3, in <module>
data = qreader.read(urllib.urlopen(url))
NameError: name 'qreader' is not defined
>>> import qreader
>>> for i in 's':
url = 'https://upload.wikimedia.org/wikipedia/commons/8/8f/Qr-2.png'
data = qreader.read(urllib.urlopen(url))
print(data) # prints "Version 2"
Traceback (most recent call last):
File "<pyshell#7>", line 3, in <module>
data = qreader.read(urllib.urlopen(url))
File "C:\Python2764\lib\site-packages\qreader\api.py", line 34, in read
raise TypeError('parameter should be a PIL image object, a file-like object, or a path to an image file')
TypeError: parameter should be a PIL image object, a file-like object, or a path to an image file
>>> import qrcode
>>> help (qrcode)
Help on package qrcode:
NAME
import qreader
from urllib.request import urlopen
'''
url = 'https://upload.wikimedia.org/wikipedia/commons/8/8f/Qr-2.png'
data = qreader.read(urlopen(url))
print(data) # prints "Version 2"
'''
'''
url = 'https://img.geocaching.com/cache/large/fcc5a99c-6efb-4d68-bd5b-e4381641f952.gif'
data = qreader.read(urlopen(url))
print(data) # prints "Version 2"
url = 'https://img.geocaching.com/cache/large/55a3b95b-fb55-4d21-acba-86004256e321.gif'
data = qreader.read(urlopen(url))
print(data) # prints "Version 2"
'''
'''
import qrtools
from qrtools import qrtools
#qr = qrtools.qrtools.QR()
qr = qrtools.qrtools.QR()
qr.decode("qr_n.gif")
print(qr.data)
'''
# data = qreader.read('qr-2.png')
data = qreader.read('qr_n.gif')
# data = qreader.read('qr_e.gif')
print(data)