GabrielDornelles/pytorch-ocr
Simple Pytorch framework to train OCRs. Supports CRNNs, Attention, CTC and Cross Entropy Loss.
This tool helps developers create custom Optical Character Recognition (OCR) systems for specialized text, such as reading captchas, license plates, or unique digital displays. You provide a collection of images, with the text content encoded in their filenames, and the system trains a model that can then automatically read similar text from new images. It is designed for machine learning engineers or researchers needing to build tailored OCR solutions.
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Use this if you are a developer looking for a flexible PyTorch framework to train your own specific OCR models from scratch.
Not ideal if you need an out-of-the-box OCR solution for standard document scanning or general text extraction without custom model training.
Stars
83
Forks
17
Language
Python
License
MIT
Category
Last pushed
Nov 11, 2023
Commits (30d)
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