Selecting the Data Matrix from a Image and Decoding it

Question

I have the image as attached. I tried using the below code and it outputs the correct values for most of the images. But however it takes a long time to decode.

import cv2
from pylibdmtx.pylibdmtx import decode
import ctypes  
from PIL import Image
decode(Image.open("1591106831_festo.jpg"))

I believe if I can select only the particular section of the image that contains the data matrix and input it to the pylibdmtx library it might be more accurate and faster.

But currently i'm unable to figure out how to select the section of image with data matrix. Could you please help me out. Thanks.

Expected output for the attached DataMatrix is (91)4608

keepAlive · Accepted Answer · 2020-06-10 13:38:03Z

0

What about simply using cv2 and pylibdmtx as follows

import cv2
from pylibdmtx.pylibdmtx import decode

image = cv2.imread("1591106831_festo.jpg")
h, w  = image.shape[:2]
decdd = decode((image[:, :, :1].tobytes(), w, h))
print(decdd)
# [Decoded(data=b'(91)4608', rect=Rect(left=650, top=522, width=-82, height=86))]

Which is probably faster that what you currently have in hand since we 1) provide decode with not-to-be-guessed parameters and 2) do image[:, :, :1], which means that one only deals with the first BGR layer, the blue one, clearly sufficient for barcodes.

For the sake of comparison, decode(Image.open("1591106831_festo.jpg")) returns

[Decoded(data=b'(91)4608', rect=Rect(left=650, top=522, width=-82, height=86))]

i.e. the exact same inference.

Something you can do is limit the number of barcodes you want to get, using the max_count argument,

>>> decode(Image.open("1591106831_festo.jpg"), max_count=1)
[Decoded(data=b'(91)4608', rect=Rect(left=522, top=629, width=86, height=82))]

edited Jun 10, 2020 at 13:38

answered Jun 10, 2020 at 9:41

keepAlive

6,7055 gold badges29 silver badges43 bronze badges

Sign up to request clarification or add additional context in comments.

3 Comments

Legolas Over a year ago

hey,thanks,it partially helps..but are you aware of any method to select just the portion with the datamatrix?

Legolas Over a year ago

I just checked both the solutions yours and mine, they took around the same time to execute.

Legolas Over a year ago

including max_count, reduces time drastically mate. thanks.

Collectives™ on Stack Overflow

Selecting the Data Matrix from a Image and Decoding it

1 Answer 1

3 Comments

Your Answer

Linked

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

3 Comments

Your Answer

Sign up or log in

Post as a guest

Linked

Related