We are creating service for text detection from document with tesseract-ocr on python. The document splits on 4 parts, each of which is processing in parallel with multiprocessing.Process. Each part of document contains 4-6 textfileds. We extract this fields and send to python tesseract 4.0. We have very huge CPU loading when we are processing 2 and more documents in one time. Can you tell us how optimize tesseract work.
-- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/3205697f-b78a-496c-8846-1b5542fc92feo%40googlegroups.com.
