yuan-wenhua's starred repositories
chineseocr
yolo3+ocr
dataset-tools
Java command-line tools for comparing results to ground truth for table location and structure detection as used in the ICDAR 2013 Table Competition
ocr-daily-paper
daily update latest arxiv paper about ocr
transformer-translation
Using Pytorch's nn.Transformer module to create an english to french neural machine translation model.
Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
STR-Fewer-Labels
Scene Text Recognition (STR) methods trained with fewer real labels (CVPR 2021)
Table-Generator
This is a synthetic dataset generator. It generates an image dataset that can be used for developing table detections and structure recogntion models
SynthTabNet
Dataset of PNG images from synthetically generated table layouts with annotations in JSONL files
Aggregation-Cross-Entropy
Aggregation Cross-Entropy for Sequence Recognition. CVPR 2019.
Auto-Make-Money
沪、深、创业板可转债自动打新 / An easy tool to help investors from Shanghai/Shenzhen Stock Market to apply for new-listed convertible bonds automatically.
syropod_highlevel_controller
OpenSHC: A Versatile Multilegged Robot Controller
编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
CCF2019-OCR
CCF2019-OCR身份证要素识别-数据生成器
idcardgenerator
身份证图片生成工具 generate an id card picture
ICDAR2019_cTDaR
The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.
ZTErsHouse
ZTE南京二期安居房纪实
PICK-pytorch
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
shape-context-matching
get shape templates using shape contexts.
Python-Shape-Context
Shape context processing with python
desktop-ui-dataset
Annotated desktop UI screenshot dataset. In PASCAL VOC XML format.