Lluis Gomez i Bigorda

TextProposals. Implementation of the method proposed in the papers " TextProposals: a Text-specific Selective Search Algorithm for Word Spotting in the Wild" and "Object Proposals for Text Extraction in the Wild" (Gomez & Karatzas), 2016 and 2015 respectively.

TextTopicNet. Self-supervised learning of visual features through embedding images into text topic spaces

text_extraction. This code is the implementation of the method proposed in the paper “Multi-script text extraction from natural scenes” (Gomez & Karatzas) to appear in ICDAR2013 conference.

single-shot-str. Single Shot Scene Text Retrieval, ECCV 2018. L. Gomez*, A. Mafla*, M. Rusiñol, D. Karatzas.

erfilter_train. C++

ufl_scene_text_recognition. C++ (OpenCV) implementation of the Unsupervised Feature Learning algorithm of Adam Coates and Andrew Ng for Scene Text Detection and Recognition

script_identification. C++

ConTextTransformer. Jupyter Notebook

er_ocr_tesseract. Scene text recognition baseline using the Tesseract API.

mcv-m5_2018. Master in Computer Vision - M5 Visual recognition

DCText. Text Detection by DCT energy localization

ST-VQA_Loc. Multimodal grid features and cell pointers for Scene Text Visual Question Answering

SynthFairCLIP. Python

DAS2016_Tutorial1. Slides and sample code demos for DAS2016 Tutorial 1

DetectText. Detect text with stroke width transform.

rrc_ch3_visualizer. Ground-truth visualization of the Robust Reading Competition Challenge 3 (Read Text in Videos) dataset.

component_tree. create a visualization of the component tree of an image

uCLIP. Python

FASText. Efficient Unconstrained Scene Text Detector