Convert model ocr from pytorch to onnx format

This research aims to fine-tune an Arabic OCR model using Tesseract 5.0, enhancing text recognition accuracy through extensive data collection, preprocessing, and image generation. By leveraging advanced training techniques and data augmentation, we achieve significant improvements in word error rates (WER).

A flask application to capture image using opencv and ocr model and using nltk library to derive the summary

Data used or made up in an (successful) OCR attempt using kraken.