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aima-python

Automatically exported from code.google.com/p/aima-python

caffe

Caffe fork that supports SPP_net or faster R-CNN

ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

character-detector

Adapts a neural net for use as a pill imprint character detector

characterness

Code of "Characterness: An Indicator of Text in the Wild", IEEE Transcations on Image Processing

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, DGR, LwF, Replay-through-Feedback).

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

cs2

IG Systems CS2 Software. This is just a host for the source of the min-cost flow solver developed by IG systems. Please refer to the homepage link and read the README below.

gaze-text-detection

Text detection in natural scene images using the Stoke Width Transform.

incremental-learning-baselines

ltptextdetector

LTP based text detector for natural scene images

plex

Github project for continued development of PLEX wordspotting.

resume

An elegant \LaTeX\ résumé template

robust-text-detection

Robust Text Detection implementation based on http://www.stanford.edu/~hchen2/papers/ICIP2011_RobustTextDetection.pdf

rotatenetworks

The rep for the RotateNetworks in ICPR18, Beijing, China.

rpn_bf

RPN+BF

saak-transform

Reinplementation of the paper On Data-Driven Saak Transform

sketchtokens

A tool for extracting contour-based mid-level features, and to extract contour segmentations from images

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.

textproposals

Implementation of the method proposed in the paper "Object Proposals for Text Extraction in the Wild" (Gomez & Karatzas), International Conference on Document Analysis and Recognition, ICDAR2015.

transductive-vos.pytorch

a transductive approach for video object segmentation