Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Code for BMVC2020 paper "Text and Style Conditioned GAN for Generation of Offline Handwriting Lines"

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

Extremely simple implement for CRNN by Tensorflow

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

Text recognition (optical character recognition) with deep learning methods.

Apache Airflow tutorial

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"

A PyTorch Implementation of Single Shot MultiBox Detector

A tutorial on the PyTorch-based ocropus components.

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

pytorch implementation of openpose including Hand and Body Pose Estimation.

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.

CharNet: Convolutional Character Networks

An Open Source Machine Learning Framework for Everyone

Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)

Use the MobileNet V2 as the basenet instead of the original VGG16

Pyramid Mask Text Detector designed by SenseTime Video Intelligence Research team.

A simple baseline for pedestrian attribute recognition in surveillance scenarios