Mini Projects that are developed using Python.
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Updated
May 26, 2024 - Jupyter Notebook
Mini Projects that are developed using Python.
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/
An unofficial PyTorch implementation of CRAFT text detector with better interface and fp16 support
htrflow_core is the underlying engine for our HTR-pipeline
High accurate text detection (OCR) Javascript/Typescript library that runs on Node.js, Browser, React Native and C++. Based on PaddleOCR and ONNX runtime
Desktop app for automatically translating comics - BDs, Manga, Manhwa, Fumetti and more in a variety of formats (Image, Pdf, Epub, cbr, cbz, etc) and in multiple languages.
OnnxTR a docTR (Document Text Recognition) library Onnx pipeline wrapper - for seamless, high-performing & accessible OCR
A toolbox of OCR models, algorithms, and pipelines based on MindSpore
A minimal project for running CRAFT text detection model
Official implementation of Character Region Awareness for Text Detection (CRAFT)
Create Synthetic dataset for text detection for english and japanese text
Repository includes different type of computer vision algorithms
Boosting Document Intelligence
A demo for OCR on Signboard (ArT dataset) using PaddleOCR' EAST + CRNN, MMOCR's ASTER and CRAFT.
Scene text detection on Indian scene text data using shallow version of YOLO v3 and v4
Real-time Scene Text Detection with Differentiable Binarization
Compute the metric of text detection algorithm.
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
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