ZeroCodePro's repositories
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
barcode-datasets
A list of available Barcode & QR Code Datasets
calamari
Line based ATR Engine based on OCRopy
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
CDLA
CDLA: A Chinese document layout analysis (CDLA) dataset
CoMER
Official implementation for ECCV 2022 paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"
Formula2LaTeX
Web app and telegram bot for formula recognition from photos
FormulaNet
FormulaNet is a new large-scale Mathematical Formula Detection dataset.
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.
ICDAR2021_MFD
1st Solution For ICDAR 2021 Competition on Mathematical Formula Detection（公式检测冠军方案）
im2markup
Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)
Kosmos2.5
My implementation of Kosmos2.5 from the paper: "KOSMOS-2.5: A Multimodal Literate Model"
LaTeX-OCR
pix2tex: Using a ViT to convert images of equations into LaTeX code.
LaTeX_OCR_PRO
:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).
math-formula-recognition
Math formula recognition (Images to LaTeX strings)
mmdetection
OpenMMLab Detection Toolbox and Benchmark
Multi-Type-TD-TSR
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
OpenNMT-py
Open Source Neural Machine Translation in PyTorch
pdfplumber
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
SPLERGE
Deep Splitting and Merging for Table Structure Decomposition
table-transformer
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
TableMASTER-mmocr
2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.
TableNet
Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"
TGRNet
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
ThinkMatch
Code & pretrained models of novel deep graph matching methods.
U2Net-Multi-Gpus-Training
U-2-Net mutli-gpus training Pytorch Lightning code
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities