Closed Ashbajawed closed 1 year ago
Thanks for reporting. I just tried current master with the test image from the resources folder and it processes fine for me.
Could you let us know which exact version/commit of Eynollah you are working with (e.g. git show
)? Would it be possible for you to share your own document image that fails?
by upgrading the python to 3.7 and reinstallations its working fine.. But its taking 1-2 minute on a single image inspite of using gpu, -light ardument and , -di argument
any way to improve Textregion detection and run graphics times
Image was enhanced.
its taking 1-2 minute on a single image
Dear @Ashbajawed, these inference times look OK and similar to what is our current throughput.
Note that Eynollah uses multiple deep learning models in combination - for the processing of a single page, several of these will need to be loaded to memory, which takes considerable time.
We are working on a "batch" mode that will allow loading the models only once for the processing of a larger amount of pages within a directory, which will then significantly reduce the time needed to process multiple document images at once.
I'm recieving following error while running test either on my own document image or on the test tiff provided in resource folder
My versions pip 21.3.1 python3.6
tensorflow-estimator 1.15.1 tensorflow-gpu 1.15.5 keras-mxnet 2.2.4.3
ValueError Traceback (most recent call last)