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    Welcome!

    This is the community forum for my apps Pythonista and Editorial.

    For individual support questions, you can also send an email. If you have a very short question or just want to say hello — I'm @olemoritz on Twitter.

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    • pavlinb
      pavlinb last edited by

      The content of fault log:

      Fatal Python error: Aborted

      Current thread 0x000000016df9b000 (most recent call first):
      File "/var/containers/Bundle/Application/0D357A4D-0366-4446-8E8F-34E0CF0C4E41/Pythonista3.app/Frameworks/Py3Kit.framework/pylib/site-packages/objc_util.py", line 772 in call
      File "/private/var/mobile/Containers/Shared/AppGroup/788B3F26-6E63-4760-B7CD-1B8879F98443/Pythonista3/Documents/MyPython/visionOCR_4.py", line 49 in load_model
      File "/private/var/mobile/Containers/Shared/AppGroup/788B3F26-6E63-4760-B7CD-1B8879F98443/Pythonista3/Documents/MyPython/visionOCR_4.py", line 57 in _classify_img_data
      File "/private/var/mobile/Containers/Shared/AppGroup/788B3F26-6E63-4760-B7CD-1B8879F98443/Pythonista3/Documents/MyPython/visionOCR_4.py", line 75 in classify_image
      File "/private/var/mobile/Containers/Shared/AppGroup/788B3F26-6E63-4760-B7CD-1B8879F98443/Pythonista3/Documents/MyPython/visionOCR_4.py", line 139 in classify_asset
      File "/private/var/mobile/Containers/Shared/AppGroup/788B3F26-6E63-4760-B7CD-1B8879F98443/Pythonista3/Documents/MyPython/visionOCR_4.py", line 155 in main
      File "/private/var/mobile/Containers/Shared/AppGroup/788B3F26-6E63-4760-B7CD-1B8879F98443/Pythonista3/Documents/MyPython/visionOCR_4.py", line 158 in <module>

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      • pavlinb
        pavlinb last edited by

        Code at line 49:

        ml_model = MLModel.modelWithContentsOfURL_error_(c_model_url, None)

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        • pavlinb
          pavlinb last edited by

          Before crash Documents & Data iPhone storage was about 150MB.
          After crashing - 3GB.

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          • cvp
            cvp last edited by cvp

            Did you test with a very long text?

            Do you use the beta? Because in my (beta) version, line 772 of objc_util is relative to restype and I don't know if it is the same in your version

            Does the used space increase of some GB at each test?

            pavlinb 1 Reply Last reply Reply Quote 0
            • pavlinb
              pavlinb @cvp last edited by

              @cvp said:

              Did you test with a very long text?
              What do you mean?

              Do you use the beta? Because in my (beta) version, line 772 of objc_util is relative to restype and I don't know if it is the same in your version
              No, I use official version from Appstore. I was with beta when this happens for a first time.

              Does the used space increase of some GB at each test?
              No, space was around 150MB after each teast.

              cvp 1 Reply Last reply Reply Quote 0
              • cvp
                cvp @pavlinb last edited by cvp

                @pavlinb Could you tell me which is the line 772 in objc_util in the App Store version.

                Thus, you don't have a crash each time.

                Do you use another mlmodel than OCR.mlmodel?

                Is the image containing a text with a lot of characters?

                pavlinb 1 Reply Last reply Reply Quote 0
                • pavlinb
                  pavlinb @cvp last edited by

                  @cvp said:

                  @pavlinb Could you tell me which is the line 772 in objc_util in the App Store version.
                  res = objc_msgSend(cls, sel(self.sel_name), *args)

                  Thus, you don't have a crash each time.
                  Only with script that reads/writes to memory

                  Do you use another mlmodel than OCR.mlmodel?
                  Yes, used other models, it doesn’t depend from model.

                  Is the image containing a text with a lot of characters?
                  It looks that script tough the image has lot of characters.

                  cvp 1 Reply Last reply Reply Quote 0
                  • cvp
                    cvp @pavlinb last edited by

                    @pavlinb you said that memory was 150MB after a test, and this test was not trying to write to memory?
                    I don't understand the difference between two tests of mlmodel, one writing and the other one no

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                    • pavlinb
                      pavlinb last edited by

                      Memory was about 150MB when test finish without crash - I checked the memory regularly.

                      When Pythonista crashed, I checked the memory again - it was 3GB.

                      I tried to OCR an image, in wich algo recognizes lot of characters. May this is the main reason.

                      Do you want a copy of that image to try?

                      Now I can't edit scripts and can't create new ones in Pythonista.

                      Some scripts still work.

                      But those that uses mlmodels crashes when script tries to load the model.

                      cvp 1 Reply Last reply Reply Quote 0
                      • cvp
                        cvp @pavlinb last edited by

                        @pavlinb I don't want to take the risk to need to reinstall, sorry.
                        If you remove Pythonista app from active apps list, and wait some time, does the memory vary?

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                        • pavlinb
                          pavlinb @cvp last edited by

                          @cvp said:

                          @pavlinb I don't want to take the risk to need to reinstall, sorry.

                          Sure, no problem.

                          If you remove Pythonista app from active apps list, and wait some time, does the memory vary?

                          After 1 hour memory is the same - 3GB.

                          cvp 1 Reply Last reply Reply Quote 0
                          • cvp
                            cvp @pavlinb last edited by

                            @pavlinb I think it is now time to ask help from our big guru's...

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                            • JonB
                              JonB last edited by

                              I wonder can you check the pythonista temp directory?

                              Are you using a local file when you load your model? Or an internet url?

                              pavlinb 1 Reply Last reply Reply Quote 0
                              • JonB
                                JonB last edited by

                                Also... What is your model_url? We need to check that is actually valid.

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                                • pavlinb
                                  pavlinb @JonB last edited by

                                  @JonB said:

                                  I wonder can you check the pythonista temp directory?

                                  Sure, what do you need?

                                  Are you using a local file when you load your model? Or an internet url?

                                  I use local files.

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                                  • JonB
                                    JonB last edited by

                                    I mean check it for excessively large temp files.

                                    What is your exact model_url?

                                    Can you get a small model to work?

                                    Have you already pre-compiled the model?

                                    cvp 1 Reply Last reply Reply Quote 0
                                    • JonB
                                      JonB last edited by

                                      https://alexsosn.github.io/ml/2017/06/09/Core-ML-will-not-Work-for-Your-App.html

                                      This mentions that complex models can turn into several GB on the device. You might also try backing up after, and looking at what files get created and where. Possibly, I'm thinking if you put your file into a folder starting with a period, that keeps pythonista from showing /indexing it.

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                                      • cvp
                                        cvp last edited by cvp

                                        If he uses the mlmodel I found, it is here

                                        but I also used it without any problems, with images of short texts

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                                        • pavlinb
                                          pavlinb last edited by

                                          Yes, I used mentioned model.

                                          And with clean images with few symbols all is ok.

                                          Probably the problem occurs with complex images.

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                                          • cvp
                                            cvp @JonB last edited by

                                            @JonB said:

                                            Have you already pre-compiled the model?

                                            The omz code compiles the model before using it.

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