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recognition is slow on mac about pyzxing HOT 10 CLOSED

chenjiexu avatar chenjiexu commented on May 31, 2024
recognition is slow on mac

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ChenjieXu avatar ChenjieXu commented on May 31, 2024 2

Good news! Decoding np.array using reader.decode_array is supported in the latest release. Have fun with it!

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ChenjieXu avatar ChenjieXu commented on May 31, 2024 1

And when using decode[array], a hidden folder 「.cache」 will be created, but it will not be deleted automatically, which may also be a little problem when used for a long time.

Sorry for the inconvenience. I fix this in the latest commit but I haven't publish a new release. Please try install from source using python setup.py install command.

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ChenjieXu avatar ChenjieXu commented on May 31, 2024

According to your description, the problem may be that the Mac machine takes a lot of time to start the JVM virtual machine, so parallelism greatly improves the performance of the task.

I got such result on my server. 0.4s for a single picture.
python scanner.py -f src/resources/code128.png Use local jar file. Prepare 0.0003101825714111328 Decode 0.36128950119018555 8101054321120021123456

Here is my test code.
import time start = time.time() reader = BarCodeReader() print("Prepare ", time.time()-start) start = time.time() results = reader.decode(args.file) print("Decode ", time.time()-start)

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zhaozhen1002 avatar zhaozhen1002 commented on May 31, 2024

Thank you very much!
I got 0.2s for a single picture on ubuntu!

And another question is that I think pyzxing is only support read images but not np.array.
results = reader.decode('/PATH/TO/FILES/*.png')
How can i modify source code to make it support for np.arrary?
(Maybe impossible?)

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ChenjieXu avatar ChenjieXu commented on May 31, 2024

This is because the back-end mechanism, pyzxing calls zxing to read the image in background, so array can not be explicitly passed for decoding. So I suggest you save the array into a picture in temp folder, and then use pyzxing to decode it.
It is a good feature. I may support decoding np.array in the next release.

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zhaozhen1002 avatar zhaozhen1002 commented on May 31, 2024

Thanks!

  • I may support decoding np.array in the next release.
    I am looking forward to it! Thank you!

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zhaozhen1002 avatar zhaozhen1002 commented on May 31, 2024

very thankful!!!

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zhaozhen1002 avatar zhaozhen1002 commented on May 31, 2024

Hi , I have tried pyzxing0.3.5 and it's very good! Thanks!
But it seems there are some little errors in it.
When i used [maxicode] picture for test, both of decode[array] and decode [filename], will get this error.
image

But pyzxing0.3.3 can recognize maxicode successfully! (0.3.4 also❌ )

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zhaozhen1002 avatar zhaozhen1002 commented on May 31, 2024

And when using decode[array], a hidden folder 「.cache」 will be created, but it will not be deleted automatically, which may also be a little problem when used for a long time.

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ChenjieXu avatar ChenjieXu commented on May 31, 2024

Hi , I have tried pyzxing0.3.5 and it's very good! Thanks!
But it seems there are some little errors in it.
When i used [maxicode] picture for test, both of decode[array] and decode [filename], will get this error.
image

But pyzxing0.3.3 can recognize maxicode successfully! (0.3.4 also❌ )

I open a new issue for this problem

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