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Leverage Deep Learning to digitize old Vietnamese handwritten for historical document archiving (Made with national pride in every single line of code): https://www.kaggle.com/datasets/quandang/nomnaocr

Home Page: https://www.facebook.com/groups/machinelearningcoban/posts/1565969293860472

License: MIT License

Jupyter Notebook 98.06% Python 1.77% Shell 0.17%
digitization history nom ocr optical-character-recognition text-detection text-recognition vietnamese

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peterqtr11 tuananhhedspibk nguyendan07 thienhung1989 daibangcam phamvu-it manhtuhtk phamdinhkhanh nready-nlp hmtriit teppi210 tomatoft toducthanh good-repos songuyenerza maivan-hoa nguyennguyennguyenphong miketvo thanhnbt

nomnaocr's Issues

Cách detect chữ dọc hiệu suất cao

Cảm ơn tác giả vì đã tạo repo rất có ý nghĩa này,

Mình có câu hỏi muốn nhờ tác giả giải đáp dùm.

Theo mình biết thì model PaddleOCR - Text Detection nhận dạng tốt cho những hàng ngang. Nhưng đa số trong cái bài học thì chữ hàng dọc. Trong phần README có đề cập đến việc xoay ảnh.

Thì mình muốn biết cụ thể phương pháp ở đây là gì ạ ? Xoay ảnh trái hay xoay ảnh phải. Cách training như thế nào cho model text detection và text recognition. Ảnh mình training cho text recognition model cũng là ảnh xoay luôn đúng không ạ ?

About Readme file

Thank for your work, but could you provide an English Readme so that I can understand this project much more easier

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