Computer Vision - Text Detection In Videos
-
Updated
Feb 5, 2017 - MATLAB
Computer Vision - Text Detection In Videos
Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
A tool for the conversion from ICDAR to COCO dataset.
Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019)
Implementation of PHOSNet and Pho(SC)Net for Word Recognition in Historical Documents. Implemented using Tensorflow 2.x
A Siamese Neural Network for authenticating handwritten signatures.
A TensorFlow 2 reimplementation of DBNet available as a Python package for Scene Text Detection, following ICDAR 2015 Dataset format and using TedEval as Evaluation metrics
High-quality synthetic text data generation for Urdu Text Recognition
TedEval: A Fair Evaluation Metric for Scene Text Detectors
Signature Classification on ICDAR 2011 Signature Dataset
Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.
UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)
Implementation of the table detection and table structure recognition deep learning model described in the paper "ClusterTabNet: Supervised clustering method for table detection and table structure recognition".
🤓All the geeky stuffs you need to know at one place!
Add a description, image, and links to the icdar topic page so that developers can more easily learn about it.
To associate your repository with the icdar topic, visit your repo's landing page and select "manage topics."