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2019-ccf-bdci-ocr-mczj-fake_data_generator

2019CCF-BDCI大赛 OCR赛题第一名 天晨破晓团队 仿真数据生成方案源码

char_featurizer

汉字字符特征提取工具，可以提取出字符中的字音（声母、韵母、声调）、字形（偏旁、部首）、四角编码等特征，同时可作为tensor输入到模型

craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

cs-book

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

curve-text-rectification-using-pairs-of-points

A way to rectify curve text images using spatial transformer by pairs of points.

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

dg-net

CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification

fots.pytorch

FOTS Pytorch Implementation

iccv2021-papers-with-code

ICCV 2021 论文和开源项目合集

image-text-localization-recognition

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

keras

Deep Learning for humans

keras-gan

Keras implementations of Generative Adversarial Networks.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

ocr_dataset

收集并整理有关OCR的数据集并统一标注格式，以便实验需要

openpose-camera

pfld

Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf

pose-guided-image-generation

Implementation of NIPS 2017 paper "Pose Guided Person Image Generation" in PyTorch. https://arxiv.org/abs/1705.09368

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorchtricks

Some tricks of pytorch... :star:

scene-text-recognition

synthtext

Code for generating japanese synthetic text images which are modified from "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.