def decode(imgcv2):
code = ""
try:
st = datetime.datetime.now()
img = Image.fromarray(imgcv2)
if img.mode != 'RGB':
img = img.convert('RGB')
dm_read = DataMatrix()
code = dm_read.decode(
img.size[0],
img.size[1],
buffer(
img.tostring()),
timeout=80,
maxcount=1,
corrections=3)
end = datetime.datetime.now()
if dm_read.count() == 1:
# print code, end - st
time = end - st
print dm_read.stats(1), "t:", str(time)[6:]
points = dm_read.stats(1)[1]
# print "points:", points
# os.system("beep -f1296 -l10")
except Exception:
print "error decode"
pass
return code, points
def mkdmtx(msg):
dm_write = DataMatrix()
dm_write.encode(msg)
pi = dm_write.image # .resize((14, 14))
cv_im = cv.CreateImageHeader(pi.size, cv.IPL_DEPTH_8U, 3)
cv.SetData(cv_im, pi.tostring())
return cv_im
def handleargc():
for filename in sys.argv[1:]:
if filename.endswith('.bin'):
decodedm(str1=open(filename, 'rb').read())
else:
from pydmtx import DataMatrix
from PIL import Image
dm_read = DataMatrix()
img = Image.open(sys.argv[1])
dm_read.decode(img.size[0], img.size[1], buffer(img.tostring()))
#print dm_read.count()
#print dm_read.stats(1)
decodedm(dm_read.message(1))
def __init__(self):
# The default logging level is INFO.
# Comment this line to set debug logging off
self.log.setLevel(logging.DEBUG)
# Make some generic parameters
# You can change the Name fields on the EDM screen here
# Hide them by making their name -1
params = dict(int1 = 101, int1Name = "Threshold block size",
int2 = 13, int2Name = "Threshold C",
int3 = 3, int3Name = "Kernel size",
double1 = 0.35, double1Name = "Angle cos",
double2 = 6.0, double2Name = "Curve epsilon",
double3 = 15.0, double3Name = "Length diff")
self.dm=DataMatrix()
AdPythonPlugin.__init__(self, params)
def parse_folder(folder, output_folder):
# create output folder if it does not exist
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# check images in folder
for fn in os.listdir(folder):
if fn.lower().endswith(".jpg") and not fn.lower().startswith("crop_"):
print "Working on %s" % fn
fnpath = os.path.join(folder, fn)
# Read a Data Matrix barcode
dm = DataMatrix()
img = Image.open(fnpath)
# Get datetime from image exif data
exif = get_exif(img)
datetime = exif["DateTime"].split(" ")[0].replace(":", "")
if DEBUG:
print "Image date: %s" % datetime
# only check bottom third column cell and sixth row
w, h = img.size
x_start = 3 * (w / 4)
y_start = 3 * (h / 4)
crop = img.crop((x_start, y_start, w, h))
if DEBUG:
#write crop for debugging purposes
crop.save(os.path.join(folder, "crop_" + fn))
# Detect
identifier = dm.decode(crop.size[0], crop.size[1],
buffer(crop.tobytes()))
if identifier:
print "Decoded shelf: %s" % identifier
#move and rename image
os.rename(
fnpath,
os.path.join(output_folder,
identifier + "_" + datetime + ".jpg"))
else:
print "No value"
from pydmtx import DataMatrix
from PIL import Image
# Write a Data Matrix barcode
dm_write = DataMatrix()
dm_write.encode("Hello, world!")
dm_write.save("hello.png", "png")
# Read a Data Matrix barcode
dm_read = DataMatrix()
img = Image.open("hello.png")
print dm_read.decode(img.size[0], img.size[1], buffer(img.tostring()))
print dm_read.count()
print dm_read.message(1)
print dm_read.stats(1)
def __init__(self):
self.cache = {}
self.dm = DataMatrix()
# -*- coding: iso-8859-1 -*-
from pydmtx import DataMatrix
from PIL import Image, ImageDraw, ImageFont
import sys
# Generate a label image containing a DataMatrix code and shelf identifer text.
# Image files are output as PNG in the current directory.
#
# Usage: python make_dtmx.py <location> <bookshelf> <shelf>
margin = 0
fontsize = 120
dm = DataMatrix()
dm.options["shape"] = dm.DmtxSymbolRectAuto
dm.options["module_size"] = dm.DmtxSymbol8x32
dm.options["scheme"] = dm.DmtxSchemeAscii
dm.options["margin_size"] = margin
font = ImageFont.truetype("inconsolata.otf", fontsize)
dmtx_block_size = 25
# parameters - max length is 13 chars (including separators)
location = sys.argv[1] # pysical location e.g. H12V
case = sys.argv[2] # book case identifier e.g. 12
count = int(
sys.argv[3]) # number of shelf identifier e.g. 4 will generate 4 images.
def makedmx(text, filename):
# Set up Data Matrix
dm.encode(text)
calibrated = 0
focal_length = image.width
center = (image.width / 2, image.height / 2)
camMatrix = np.array([[focal_length, 0, center[0]],
[0, focal_length, center[1]], [0, 0, 1]],
dtype="double")
distCoeff = np.zeros((5, 1))
if options.dump:
print(camMatrix)
print(distCoeff)
display = Display()
# Timeout after 100ms, or after finding 1 'square' barcode
dm_read = DataMatrix(timeout=100, max_count=1, shape=1)
while display.isNotDone():
if options.test:
# re-read image
image = Image("original.png")
else:
if calibrated:
image_orig = cam.getImage()
image = cam.undistort(image_orig)
else:
image = cam.getImage()
overlay = DrawingLayer((image.width, image.height))
dm_read.decode(image.width, image.height, buffer(image.toString()))
