def test_one_qr_code(self):
raw, (width, height) = self.get_image('one_qr_code')
code = zbarlight.qr_code_scanner(raw, width, height)
self.assertEqual(code, b"zbarlight test qr code")
def scan(self):
"""
Looks through camera once; if there's a QR code, returns it. Otherwise, returns -1.
"""
stream = io.BytesIO()
self.cam.capture(stream, format="jpeg", use_video_port=True)
stream.seek(0)
img = Image.open(stream)
img.load()
grayscale_img = img.convert('L')
img.close()
raw = grayscale_img.tobytes()
width, height = grayscale_img.size
scan_results = zbarlight.qr_code_scanner(raw, width, height)
try:
code = scan_results.decode()
print("QR: ", code)
# print "Truncating now"
stream.truncate(0)
return code
except:
print("QR: N/A")
stream.truncate(0)
# print "truncating"
return -1
def qrCheck(arg):
""" Check an image for a QR code, return as string """
image_string = arg.tostring()
try:
code = zbarlight.qr_code_scanner(image_string, 400, 300)
return code
except:
return
def decodeImage(self, image):
""" Check an image for a QR code, return as string """
image_string = image.tostring()
try:
code = zbarlight.qr_code_scanner(image_string,
self.camera.resolution[0],
self.camera.resolution[1])
return code
except:
return
def qr_decode(img):
file_path = img
with open(file_path, 'rb') as image_file:
image = Image.open(image_file)
image.load()
converted_image = image.convert(
'L') # Convert image to gray scale (8 bits per pixel).
image.close()
raw = converted_image.tobytes() # Get image data.
width, height = converted_image.size # Get image size.
code = zbarlight.qr_code_scanner(raw, width, height)
return img + ' QR code: %s' % code.decode()
def ocr_qrcode_zbarlight(filename):
img = Image.open(filename)
width, height = img.size
raw = img.tobytes()
#把图像装换成数据
data = zbarlight.qr_code_scanner(raw, width, height)
if data:
logger.debug(u'识别二维码:%s,内容: %s' % (filename, data))
else:
logger.error(u'识别zbarlight二维码出错:%s' % (filename))
img.save('%s-zbar.jpg' % filename)
return data
def read_qrcode(pic_name):
with open(pic_name, 'rb') as image_file:
image = Image.open(image_file)
image.load()
converted_image = image.convert('L') # Convert image to gray scale (8 bits per pixel).
image.close()
raw = converted_image.tobytes() # Get image data.
width, height = converted_image.size # Get image size.
code = zbarlight.qr_code_scanner(raw, width, height)
print code
if code != None:
pic_id = get_pic_id(code)
return pic_id
# way_2 : chose the number and ab
else:
print '[No Need to Rename] pic_name: ' + pic_name
return ''
def read_qrcode(pic_name):
with open(pic_name, 'rb') as image_file:
image = Image.open(image_file)
image.load()
converted_image = image.convert(
'L') # Convert image to gray scale (8 bits per pixel).
image.close()
raw = converted_image.tobytes() # Get image data.
width, height = converted_image.size # Get image size.
code = zbarlight.qr_code_scanner(raw, width, height)
print code
if code != None:
pic_id = get_pic_id(code)
return pic_id
# way_2 : chose the number and ab
else:
print '[No Need to Rename] pic_name: ' + pic_name
return ''
import fastzbarlight
import numpy as np
import zbarlight
img = np.load('trial.npy')
import timeit
num = 1000
duration = timeit.timeit(
lambda: zbarlight.qr_code_scanner(img.tobytes(), 100, 100), number=num)
print('Average call time with zbarlight: %sms (%d tries)' %
(duration / num * 1000, num))
duration = timeit.timeit(
lambda: fastzbarlight.qr_code_scanner(img.tobytes(), 100, 100), number=num)
print('Average call time with fastzbarlight: %sms (%d tries)' %
(duration / num * 1000, num))
# from PIL import Image
# img = Image.fromarray(img.reshape((100, 100)))
# img.save('trial.png')
# duration = timeit.timeit(lambda: zbarlight.scan_codes('qrcode', img), number=num)
# print('Average call time with image 2.0: %sms' % (duration/num*1000))
height = 480
cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, width)
cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, height)
# quick+dirty function to get an image from the camera
def getImage():
retval, image = cap.read()
return image
# get the image from the camera, write it to a file
image = getImage()
cv2.imwrite('test_py.jpg', image)
# load the image file, convert to grayscale
frame = cv2.imread('test_py.jpg', cv2.cv.CV_LOAD_IMAGE_GRAYSCALE)
# convert the image file to string so zbarlight can read it
image_string = frame.tostring()
# scan the image
code = zbarlight.qr_code_scanner(image_string, width, height)
# if there's a single qr code in the frame, its value is set
# if not, an exception is thrown
try:
value = code.decode()
except:
value = "No code or multiple codes detected"
print value
def test_two_qr_code(self):
raw, (width, height) = self.get_image('two_qr_codes')
self.assertIsNone(zbarlight.qr_code_scanner(raw, width, height))
def test_one_qr_code(self):
raw, (width, height) = self.get_image('one_qr_code')
code = zbarlight.qr_code_scanner(raw, width, height)
self.assertEqual(code, b"zbarlight test qr code")
#from PIL import Image
#import zbarlight
#file_path = 'i:/jpcxxoo.png'
#with open(file_path, 'rb') as image_file:
# image = Image.open(image_file)
# image.load()
#codes = zbarlight.scan_codes('qrcode', image)
#print('QR codes: %s' % codes)
from PIL import Image
import zbarlight
file_path = 'i:/jpcxxoo.png'
with open(file_path, 'rb') as image_file:
image = Image.open(image_file)
image.load()
converted_image = image.convert(
'L') # Convert image to gray scale (8 bits per pixel).
image.close()
raw = converted_image.tobytes() # Get image data.
print(raw)
width, height = converted_image.size # Get image size.
code = zbarlight.qr_code_scanner(raw, width, height)
print('QR code: %s' % code.decode())
def test_two_qr_code(self):
raw, (width, height) = self.get_image('two_qr_codes')
self.assertIsNone(zbarlight.qr_code_scanner(raw, width, height))
