Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/
-
Updated
Nov 16, 2024 - Python
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.
A research project for text detection and recognition using PyTorch 1.2.
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks
This an implementation of FOTS with tensorflow
Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized with code and dataset
OnnxTR a docTR (Document Text Recognition) library Onnx pipeline wrapper - for seamless, high-performing & accessible OCR
A curated list of papers and resources for scene text detection and recognition
用opencv的dnn模块做文本检测与识别,包含C++和Python两种版本的实现
Boosting Document Intelligence
A python program using tesseract and OpenCV to extract the vital information like Card Holder's Name, Expiry, Card Number from credit/debit card images, it uses OCR-A template matching for font recognition in openCV with thresholding (to preprocess image) and median blurring (to remove noise) to get the best results
Text Detection using Pretrained CRAFT model in MATLAB
FOTS text detection and recognition
This repository contains a notebook to demonstrate the power of Document Text Recognition (DocTR) library
【Python / Streamlit】Pokemon Sleep 小幫手(寶可夢潛力計算、食譜篩選、寶可夢資訊)
[CHABCNet] ABCNet on the Chinese dataset, building on Detectron2 (Facebook AI Research)
Add a description, image, and links to the text-detection-recognition topic page so that developers can more easily learn about it.
To associate your repository with the text-detection-recognition topic, visit your repo's landing page and select "manage topics."