Created
October 3, 2017 07:51
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import io | |
import datetime | |
import time | |
import picamera | |
from PIL import Image | |
import zbar | |
import cv2 | |
import numpy as np | |
while True: | |
# Create the in-memory stream | |
stream = io.BytesIO() | |
with picamera.PiCamera() as camera: | |
# camera.start_preview() | |
# time.sleep(1) | |
camera.capture(stream, format='jpeg') | |
# "Rewind" the stream to the beginning so we can read its content | |
stream.seek(0) | |
pil = Image.open(stream) | |
imgGauss = cv2.GaussianBlur(np.asarray(pil), (3,3), 0) | |
gray = cv2.cvtColor(imgGauss, cv2.COLOR_RGB2GRAY) | |
fm = cv2.Laplacian(gray, cv2.CV_64F).var() | |
# print "%d" % fm | |
if fm < 100: | |
continue | |
# | |
######################################### | |
# | |
# create a reader | |
scanner = zbar.ImageScanner() | |
# configure the reader | |
scanner.parse_config('enable') | |
pil = pil.convert('L') | |
width, height = pil.size | |
raw = pil.tostring() | |
# wrap image data | |
image = zbar.Image(width, height, 'Y800', raw) | |
# scan the image for barcodes | |
scanner.scan(image) | |
# extract results | |
for symbol in image: | |
print 'decoded', symbol.type, 'symbol', '"%s"' % symbol.data | |
# clean up | |
del(image) | |
pass |
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