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2019-ccf-bdci-ocr-mczj-ocr-identificationidelement

2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码

996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

aic2018_iamai

A multi-camera vehicle detection, tracking and re-identification system

alpr-unconstrained

License Plate Detection and Recognition in Unconstrained Scenarios

aru-net

attentionocr

Scene text recognition

awesome-aigc-tutorials

Curated tutorials and resources for Large Language Models, AI Painting, and more.

awesome-vehicle-re-identification

collection of dataset&paper&code on Vehicle Re-Identification

b-site

soft-forking from openbilibili/go-common

ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

chat2db

🔥🔥🔥AI-driven data management platform Over 1 million developers are using Chat2DB

chinese_licence_plate_generator

A tool for generating Chinese license plate dataset for plate detecting

chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

circle-detection

Circle detection/circle detector by arc-support line segments. The source code for IEEE ICIP paper.

codecraft-2019

华为软件精英挑战赛2019，杭厦赛区第二，复赛未使用判题器

cornernet-lite

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

crnn_chinese_characters_rec

chinese characters recognition

csbook

cudf

cuDF - GPU DataFrame Library

cugraph

cuGraph - RAPIDS Graph Analytics Library

cupy

NumPy & SciPy for GPU

cython

The most widely used Python to C compiler

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dask

Parallel computing with task scheduling

db

A PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

db-gpt-hub

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

decoupled-attention-network

Pytorch implementation for "Decoupled attention network for text recognition".

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06