A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
翻译 - PyToch实现的“具有可差分二值化的实时场景文本检测”。
DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018
A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
基于pytorch的ocr算法库，包括 psenet, pan, dbnet, sast , crnn
PyTorch re-implementation of ''Real-time Scene Text Detection with Differentiable Binarization'' (AAAI 2020)
you can use dbnet to detect word or bar code,Knowledge Distillation is provided,also python tensorrt inference is provided.
使用DBNet检测条形码，包含C++和Python两种版本的程序
DBNetworkStack is a network abstraction for fetching request and mapping them to model objects
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
身份证全卡面文字识别：Faster-rcnn检测图片里的证件照，DBNet检测证件照里的文字，CRNN识别证件照里的文字
使用opencv部署DBNet文字检测，包含C++和Python两种版本的实现
Caffe+Matlab Implementation for “Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries”
chineres ocr from picture, 中英文本检测与文本识别，dense-ctc，dbnet，crnn，pse，unet等模型
基于Pytorch开发的DbNet+AngleNet+Rcnn的OCR识别神经网络。用于安卓端OCR识别及作为Auto.js安卓开发框架的一款扩展插件。