12 open-source projects similar to bestsonny/sstd, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best SSTD alternative.
This project is an automated image translation system and pipeline specifically optimized for manga and comics. It provides a sequence of text detection, machine translation, and typesetting, and is available as an image translation API, a command-line tool for batch processing, and an LLM-powered translator. The system utilizes OCR to detect text regions and an inpainter to remove original content by synthesizing background pixels. Translated text is then overlaid using an automated typesetter that manages font sizes, colors, and reading directions based on the original coordinates. The wor
chineseocr_lite is a lightweight Chinese optical character recognition engine designed to detect text regions, analyze orientation, and convert Chinese characters from images into digital text. It supports both horizontal and vertical reading layouts and can be deployed as a web service for image uploads and result visualization. The system utilizes a multi-backend inference framework that supports ncnn, mnn, and tnn, allowing it to run across diverse hardware and platforms. It is specifically engineered for lightweight deployment on mobile and desktop environments through the use of small mo
PaddleX is a PaddlePaddle-based framework for building, deploying, and fine-tuning AI model pipelines, with pre-built support for computer vision, OCR, document analysis, and time series tasks. It offers a toolkit of ready-to-use pipelines for image classification, object detection, segmentation, and pose estimation, alongside an end-to-end OCR document analysis pipeline that extracts text, tables, formulas, and layout information. The platform also includes a dedicated time series forecasting pipeline for analyzing historical data to detect anomalies, classify patterns, and predict future val
Official Pytorch implementation of CRAFT text detector | Paper | Pretrained Model | Supplementary
Our paper: Progressive Contour Regression for Arbitrary-Shape Scene Text Detection, CVPR 2021. https://openaccess.thecvf.com/content/CVPR2021/papers/DaiProgressiveContourRegressionforArbitrary-ShapeSceneTextDetectionCVPR2021_paper.pdf
Official Pytorch implementations of PSENet.
Unofficial repository for Scene Text Detection with Supervised Pyramid Context Networkhttps://arxiv.org/abs/1811.08605 with tensorflow. 网络实现主要借鉴Keras版本的Mask-RCNN,训练数据接口参考了argman/EAST.论文作者在知乎的文章介绍SPCNet. 训练数据放在data/下,训练数据准备在data/icdar.py:…
A PyTorch implement of TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes (ECCV 2018) by Megvii
This is a PyTorch Implementation of DCLNet " Disentangled Contour Learning for Quadrilateral Text Detection ".
A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition". You can read a preprint on Arxiv
Moto is a cloud service mockery framework and API mock server that simulates AWS infrastructure locally. It allows developers to test cloud-dependent code and verify infrastructure-as-code templates without deploying real resources or incurring costs. The project functions as an SDK interceptor that can patch existing service clients to redirect requests to a local mock environment. It can also be run as a standalone HTTP server, enabling any programming language to interact with the simulated endpoints. The framework covers a vast array of simulated capabilities, including data storage, com