cv-small-snails

cv-small-snails

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leetcode-master

《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:44763Issues:297Issues:644

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Language:PythonLicense:MITStargazers:18725Issues:293Issues:1310

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Language:PythonLicense:MITStargazers:13574Issues:129Issues:928

U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Language:PythonLicense:Apache-2.0Stargazers:8216Issues:140Issues:336

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.

Language:PythonLicense:MITStargazers:1909Issues:37Issues:135

Ultra-Fast-Lane-Detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Language:PythonLicense:MITStargazers:1743Issues:27Issues:358

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"

Language:PythonLicense:MITStargazers:1452Issues:45Issues:173

prompt-in-context-learning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Language:Jupyter NotebookLicense:MITStargazers:1380Issues:35Issues:2

awesome-document-understanding

A curated list of resources for Document Understanding (DU) topic

AdvancedLiterateMachinery

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

Language:C++License:Apache-2.0Stargazers:1052Issues:26Issues:137

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).

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1017Issues:16Issues:43

TableBank

TableBank: A Benchmark Dataset for Table Detection and Recognition

pytorch-auto-drive

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

Language:PythonLicense:BSD-3-ClauseStargazers:803Issues:10Issues:123

DAVAR-Lab-OCR

OCR toolbox from Davar-Lab

Language:PythonLicense:Apache-2.0Stargazers:715Issues:26Issues:165

LaneATT

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

Language:PythonLicense:MITStargazers:609Issues:14Issues:135

icecream-cpp

🍦 Never use cout/printf to debug again

Language:C++License:NOASSERTIONStargazers:538Issues:10Issues:17

synthtiger

Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021

Language:PythonLicense:MITStargazers:436Issues:6Issues:39

SciTSR

Table structure recognition dataset of the paper: Complicated Table Structure Recognition

Language:PythonLicense:MITStargazers:332Issues:13Issues:42

Awesome-Table-Recognition

A curated list of resources dedicated to table recognition

deep-hough-transform

Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)

augraphy

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

Language:PythonLicense:MITStargazers:308Issues:11Issues:131

Efficient-Deep-Learning

A bag of tricks to speed up your deep learning process

Language:PythonStargazers:142Issues:5Issues:0

TIES_DataGeneration

Dataset Generation Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Parsing using Graph Neural Networks (2019)

Language:PythonLicense:MITStargazers:117Issues:6Issues:19

Table-Detection-Structure-Recognition

https://dl.acm.org/doi/10.1145/3657281

awesome-ai-list-guide

The guide of awesome list about AI

Awesome-Document-Layout-Analysis

A curated list of resources dedicated to document layout analysis

License:Apache-2.0Stargazers:6Issues:1Issues:0