ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization

📝Awesome and classical image retrieval papers

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Paper lists of neural architecture search (NAS)

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

End-to-end image segmentation kit based on PaddlePaddle.

Rembg is a tool to remove images background.

High-Performance Serverless event and data processing platform

京东茅台抢购

end2end layout analysis based seq2seq

增值税发票OCR识别，使用flask微服务架构，识别type：增值税电子普通发票，增值税普通发票，增值税专用发票；识别字段为：发票代码、发票号码、开票日期、校验码、税后金额等

Awesome multilingual OCR toolkits based on PaddlePaddle （multilingual recognition: English, Chinese, Korean, Japanese, German, French etc. 3.5M practical ultra lightweight OCR system, support train…

Jupyter notebooks for learning how to use SimpleITK

Implementation of vnet in tensorflow for medical image segmentation

CV 论文笔记

Official code of The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

Implementation of NvNet

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

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

This is a python program that aim at cutting vertebrae from spine according to the curve of the spinal nerves

Deep Learning method for intervertebral disc detection and labeling (WIP)

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, …

[ISBI 2020] Vertebra-Focused Landmark Detection for Scoliosis Assessment

crnn实现水平和垂直方向中文文字识别,欢迎关注,试用和反馈问题... ...

Chinese text detection and recognition based on CTPN + DENSENET using Keras and Tensor Flow，使用keras和tensorflow基于CTPN+Densenet实现的中文文本检测和识别

A research project for text detection and recognition using PyTorch 1.2.

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.