Beast code in Giters

Lluis Gomez i Bigorda's starred repositories

vimrc

The ultimate Vim configuration (vimrc)

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cvpr2019

Workshop materials for OpenCV day at CVPR 2019 conference

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DDDC-instance

Digital Democracy and Data Commons for Barcelona

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pix-plot

A WebGL viewer for UMAP or TSNE-clustered images

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FAST_TextProposal

Combination of Text Proposals algorithm with Fully Convolutional Networks to efficiently reduce the number of proposals while maintaining the same recall level

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wordSpotting_characterRecognition

A Word Spotting Method in Scene Images based on Character Recognition

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kornia

Geometric Computer Vision Library for Spatial AI

Language:PythonApache-2.0960800

AI4Animation

Bringing Characters to Life with Computer Brains in Unity

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single-shot-str

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

Language:Python6700

DeepTextSpotter

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TextTopicNet

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

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tesseract

Tesseract Open Source OCR Engine (main repository)

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models

Models built with TensorFlow

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colah.github.io

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DeepRosetta

An universal deep learning models conversor

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FASText

Efficient Unconstrained Scene Text Detector

Language:C++GPL-2.019000

DeepBeliefSDK

The SDK for Jetpac's iOS Deep Belief image recognition framework

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edges

Structured Edge Detection Toolbox

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convnet

A direct Convolution Neural Network implementation in pure C++， with MNIST dataset.

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detection-proposals

Evaluation of detection performance, recall, and repeatability of detection proposal algorithms

Language:MatlabGPL-3.014100

caffe

Caffe: a fast open framework for deep learning.

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petesplugins

My old open-source video effects

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watts

Word Spotting and Recognition with Embedded Attributes

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ews

Segmentation-free Word Spotting with Exemplar SVMs

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exemplarsvm

Ensemble of Exemplar-SVMs for Object Detection and Beyond

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plex

Github project for continued development of PLEX wordspotting.

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opencv

Open Source Computer Vision Library

Language:C++Apache-2.07685500

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.

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