def scan(self):
box = self.detect(frame) # 调用detect()函数来查找二维码返回二维码的位置
# print(box)
# 这下面的3步得到扫描区域，扫描区域要比检测出来的位置要大
if check == True:
min = np.min(box, axis=0)
max = np.max(box, axis=0)
roi = frame[min[1] - 10:max[1] + 10, min[0] - 10:max[0] + 10]
# 把区域里的二维码传换成RGB，并把它转换成pil里面的图像，因为zbar得调用pil里面的图像，而不能用opencv的图像
# roi = cv2.cvtColor(roi, cv2.COLOR_BGR2RGB)
# cv2.imshow("roi",roi)
# print(roi.shape)
if roi.any() != 0:
barcodes = pyzbar.decode(roi)
for barcode in barcodes:
# 提取条形码的边界框的位置
# 画出图像中条形码的边界框
# (x, y, w, h) = barcode.rect
# cv2.rectangle(roi, (x, y), (x + w, y + h), (0, 0, 255), 2)
# 条形码数据为字节对象，所以如果我们想在输出图像上
# 画出来，就需要先将它转换成字符串
barcodeData = barcode.data.decode("utf-8")
barcodeType = barcode.type
# 向终端打印条形码数据和条形码类型
print("[INFO] Found {} barcode: {}".format(
barcodeType, barcodeData))
return roi
def qrcode_decode(path):
"""二维码识别
:param path: 二维码图片路径
:return: 返回识别结果
"""
results = pyzbar.decode(Image.open(path),
symbols=[pyzbar.ZBarSymbol.QRCODE])
return results[0].data.decode("utf-8")
def read_barcodes(frame):
global barcode_text
barcodes = pyzbar.decode(frame)
for barcode in barcodes:
x, y, w, h = barcode.rect
barcode_text = barcode.data.decode('utf-8')
print(type(barcode_text))
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
return frame, barcode_text
def decode_qr_bar_code(path):
""" return Decoded class """
# validation
if type(path) != str:
path = str(path)
if not is_file(path):
raise NotAFileError
# /validation
img = cv2.imread(path)
decoded = pyzbar.decode(img)
return decoded
def scanCode(self):
pwd = self.returnPassword()
self.con = sql.connect('localhost', 'root', pwd, 'bill')
self.cur = self.con.cursor()
self.cur1 = self.con.cursor()
vs = VideoStream(src=0).start()
time.sleep(2.0)
while True:
frame = vs.read()
frame = imutils.resize(frame, width=400)
QRcodes = pyzbar.decode(frame)
for QRcode in QRcodes:
(x, y, w, h) = QRcode.rect
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2)
QRcodeData = QRcode.data.decode("utf-8")
text = "{}".format(QRcodeData)
cv2.putText(frame, text, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX,
0.5, (0, 0, 200), 2)
text = text.split(',')
pName = text[0]
pPrice = text[1]
cv2.imshow("Press 'Q' to exit", frame)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
cv2.destroyAllWindows()
vs.stop()
try:
self.cur.execute(
'''insert into purchase (pName, pPrice) values (%s,%s)''',
(pName, pPrice))
self.con.commit()
self.cur1.execute('''select sum(pPrice) from purchase''')
total = self.cur1.fetchone()
self.label_21.setText('Total amount: ' + str(total[0]))
self.statusBar().showMessage('Item added to cart')
self.showBill()
except:
self.statusBar().showMessage('Unable to add item to bill')
def process(img):
""" Detect QR code and barcode in the image.
@param img (numpy.ndarray): the image to be processed.
@return (list): a list containing all the features detected.
"""
# Find barcodes and QR codes
objects = pyzbar.decode(img)
for obj in objects:
print("=" * 24)
print(obj.rect)
print("Type:", obj.type)
print("Data:", obj.data, "\n")
return objects
def decodeDisplay(image):
barcodes = pyzbar.decode(image)
for barcode in barcodes:
# 提取二维码的边界框的位置
# 画出图像中条形码的边界框
(x, y, w, h) = barcode.rect
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)
# 提取二维码数据为字节对象，所以如果我们想在输出图像上
#画出来，就需要先将它转换成字符串
barcodeData = barcode.data.decode("utf-8")
barcodeType = barcode.type #
# 绘出图像上条形码的数据和条形码类型
text = "{} ({})".format(barcodeData, barcodeType)
cv2.putText(image, text, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX,
.5, (0, 0, 125), 2) # 向终端打印条形码数据和条形码类型
print("[INFO] Found {} barcode: {}".format(barcodeType, barcodeData))
def aadhar(image_cropped): # if input here only doc name
blur = cv2.GaussianBlur(image_cropped, (5, 5), 0)
ret, inverted = cv2.threshold(blur, 127, 255, cv2.THRESH_BINARY)
img_1 = Image.fromarray(inverted)
barcodes = ""
try:
barcodes = pyzbar.decode(img_1)
except:
pass
if len(barcodes) > 0:
# get barcode mask here function
# mask_from_qrcode(img, PDF_file, barcodes)
lst = barcodes[0].data.decode("utf-8")
try:
doc = xml.dom.minidom.parseString(lst)
kl = doc.firstChild
# co
add = kl.getAttribute("co") + " " + kl.getAttribute("house") + " " + kl.getAttribute(
"street") + " " + kl.getAttribute("lm") + " " + \
kl.getAttribute("loc") + " " + kl.getAttribute("vtc") + \
" " + kl.getAttribute("po") + " " + kl.getAttribute("dist") + \
" " + kl.getAttribute("subdist") + " " + kl.getAttribute("state") + " pincode: " + kl.getAttribute(
"pc")
# print(kl.getAttribute("uid"))
# print(kl.getAttribute("yob"))
# print(add)
# print(kl.getAttribute("name"))
print("Male" if kl.getAttribute("gender") == 'M' else "Female")
# create_update_adhar(PDF_file, adhaar_no=kl.getAttribute("uid"))
# create_update_adhar(PDF_file, birth_year=kl.getAttribute("yob"))
# create_update_adhar(PDF_file, address=add)
# create_update_adhar(PDF_file, name=kl.getAttribute("name"))
# create_update_adhar(PDF_file, Sex="Male" if kl.getAttribute("gender") == 'M' else "Female")
m = model.KYCDocument()
m.adhaar_num = kl.getAttribute("uid")
m.is_adhaar_name = kl.getAttribute("name")
m.is_adhaar_dob = kl.getAttribute("yob")
m.is_adhaar_address = add
m.is_adhaar_gender = "Male" if kl.getAttribute("gender") == 'M' else "Female"
return m
except:
pass
return barcodes
def detect_barcode(self, frame):
barcodes = pyzbar.decode(frame)
for barcode in barcodes:
# extract the bounding box location of the barcode and draw the
# bounding box surrounding the barcode on the image
(x, y, w, h) = barcode.rect
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2)
# the barcode data is a bytes object so if we want to draw it on
# our output image we need to convert it to a string first
barcodeData = barcode.data.decode("utf-8")
barcodeType = barcode.type
# draw the barcode data and barcode type on the image
text = "{} ({})".format(barcodeData, barcodeType)
cv2.putText(frame, text, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX,
0.5, (0, 0, 255), 2)
# print the barcode type and data to the terminal
print("[INFO] Found {} barcode: {}".format(barcodeType,
barcodeData))
self.add_attendence_item(barcodeType, barcodeData)
return frame
def read_barcodes(self, frame):
barcodes = pyzbar.decode(frame)
for barcode in barcodes:
x, y, w, h = barcode.rect
barcode_info = barcode.data.decode('utf-8-sig')
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
font = cv2.FONT_HERSHEY_DUPLEX
cv2.putText(frame, barcode_info, (x + 6, y - 6), font, 2.0,
(255, 255, 255), 1)
with open("posleden_barkod.dat", mode='w') as file:
file.write(barcode_info)
sk_barcode_info = barcode_info.split('*')
self.data_vyv.text = sk_barcode_info[2]
self.razhodi_vyv.text = sk_barcode_info[4]
self.dr1_vyv.text = sk_barcode_info[0]
self.dr2_vyv.text = sk_barcode_info[1]
return frame
def decode_qrcode(self, qr_img_path):
if not os.path.exists(qr_img_path):
raise FileExistsError(qr_img_path)
return pyzbar.decode(Image.open(qr_img_path),
symbols=[pyzbar.ZBarSymbol.QRCODE])
cv2.line(im, hull[j], hull[(j + 1) % n], (255, 0, 0), 3)
# Display results
# cv2.imshow("Results", im);
# Create a qrCodeDetector Object
qrDecoder = cv2.QRCodeDetector()
# Detect and decode the qrcode
t = time.time()
while (1):
hasFrame, inputImage = cap.read()
if not hasFrame:
break
decodedObjects = pyzbar.decode(inputImage)
if len(decodedObjects):
zbarData = decodedObjects[0].data
else:
zbarData = ''
opencvData, bbox, rectifiedImage = qrDecoder.detectAndDecode(inputImage)
if zbarData:
cv2.putText(inputImage, "ZBAR : {}".format(zbarData), (10, 50),
cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2, cv2.LINE_AA)
else:
cv2.putText(inputImage, "ZBAR : QR Code NOT Detected", (10, 50),
cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2, cv2.LINE_AA)
if opencvData:
cv2.putText(inputImage, "OpenCV:{}".format(opencvData), (10, 150),
cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2, cv2.LINE_AA)
else:
def current_map(Qmap):
# algorithm to navigate in the qmap
speak('What is your destination.')
listen()
locations = {1001: 'Welcome to techienest',
1002: 'Welcome Home'}
loadmap = {'Welcome to techienest':np.zeros((10,10)),# Qmap of techienest
'Welcome Home':np.zeros((10,10))} # Qmap of home
cap = cv2.VideoCapture(0)
while(1):
camera_check, frame = cap.read()
if camera_check == True:
# check for any QR codes in image
decodedobjects = pyzbar.decode(frame)
for obj in decodedobjects:
data = (obj.data).decode('utf-8)
if data in locations.keys():
speak(locations[data])
current_map(loadmap[locations[data]])
else:
# speak the camera is not available please take some assistant
speak('Camera is not available. Please contact someone for assistant.')
cap.release()
break
# replace it with voice command in future
k = cv2.waitKey(2)
if k == ord('q')|k == ord('Q'):
speak('Bye, have a greate journey.')
