Text Alignment crashes with Column Splitting for Aquitanian Notation

[DeannaLC]

I'm currently working on the full end to end in Aquitanian notation, and I'm having issues while running the Column Splitting job with Text Alignment, which fails to run with the following error:

UnknownError: error: OpenCV(4.1.2) /io/opencv/modules/imgproc/src/filter.dispatch.cpp:140: error: (-215:Assertion failed) 0 <= anchor.x && anchor.x < ksize.width && 0 <= anchor.y && anchor.y < ksize.height in function 'init' Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/script_ops.py", line 249, in __call__ ret = func(*args) File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/autograph/impl/api.py", line 645, in wrapper return func(*args, **kwargs) File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 961, in generator_py_func values = next(generator_state.get_iterator(iterator_id)) File "/usr/local/lib/python3.7/dist-packages/tfaip/data/pipeline/runningdatapipeline.py", line 164, in generator for s in samples: File "/usr/local/lib/python3.7/dist-packages/tfaip/data/pipeline/runningdatapipeline.py", line 214, in _generate_input_samples for s in generate: File "/usr/local/lib/python3.7/dist-packages/tfaip/data/pipeline/processor/sample/processorpipeline.py", line 91, in _apply r = processor.apply_on_sample(sample) File "/usr/local/lib/python3.7/dist-packages/tfaip/data/pipeline/processor/dataprocessor.py", line 231, in apply_on_sample return self.apply(sample.copy()) File "/usr/local/lib/python3.7/dist-packages/tfaip/data/pipeline/processor/dataprocessor.py", line 257, in apply sample = p(sample) File "/usr/local/lib/python3.7/dist-packages/typeguard/__init__.py", line 1033, in wrapper retval = func(*args, **kwargs) File "/usr/local/lib/python3.7/dist-packages/tfaip/data/pipeline/processor/dataprocessor.py", line 147, in __call__ return self.apply(sample) File "/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/dataset/imageprocessors/data_preprocessor.py", line 8, in apply return sample.new_inputs(self._apply_single(sample.inputs, sample.meta)) File "/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/dataset/imageprocessors/center_normalizer.py", line 35, in _apply_single out, params = self.normalize(data.astype(np.uint8)) File "/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/dataset/imageprocessors/center_normalizer.py", line 138, in normalize dewarped = self.dewarp(img, cval=cval) File "/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/dataset/imageprocessors/center_normalizer.py", line 96, in dewarp center, r = self.measure(inverted) File "/usr/local/lib/python3.7/dist-packages/calamari_ocr/ocr/dataset/imageprocessors/center_normalizer.py", line 51, in measure smoothed += 0.001 * cv.blur(smoothed, (w, int(h * 0.5)), borderType=cv.BORDER_CONSTANT) cv2.error: OpenCV(4.1.2) /io/opencv/modules/imgproc/src/filter.dispatch.cpp:140: error: (-215:Assertion failed) 0 <= anchor.x && anchor.x < ksize.width && 0 <= anchor.y && anchor.y < ksize.height in function 'init' [[{{node PyFunc}}]] [[IteratorGetNext]] [Op:__inference_predict_function_5955] Function call stack: predict_function 

The exact same workflow works correctly when using Square Notation, so this seems to be an issue unique to Aquitanian.

Workflow:

Aquitanian Notation inputs for Column Splitting (causes failure):
044v Resources.zip

Square Notation inputs for Column Splitting (works correctly):
144-145 Resources.zip

[homework36]

it looks like the same error as #1302
or did that happen because someone is running the same workflow on production?

[DeannaLC]

@homework36 I had the error both running the job locally in develop and in the production version, and it happens consistently every time I use the same inputs. It looks like this within my Rodan window:

After some further tests, removing a couple red symbols from this specific layer allowed it to run, though I've been able to keep the same symbols in different folios and have Text Alignment run successfully, so I haven't been able to reproduce this error.

Original layer that was unsuccessful:

Modified layer that runs properly:

[homework36]

Thank you! I will look into this. Meanwhile, maybe try not to run the failed files again on production for now, if possible. Docker crashed on production server last time probably due to this error.