Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

Overview

Open Semantic Search

https://opensemanticsearch.org

Integrated search server, ETL framework for document processing (crawling, text extraction, text analysis, named entity recognition and OCR for images and embedded images in PDF), search user interfaces, text mining, text analytics and search apps for fulltext search, faceted search, exploratory search and knowledge graph search

Build

How to build the deb package for installation on Debian or Ubuntu server or the docker images for running in Docker containers:

Build deb package

To build a deb package for Debian or Ubuntu, call the build script "build-deb" as user root (change user by su or sudo su):

./build-deb

Build docker images

Clone the repository including the dependencies :

git clone --recurse-submodules --remote-submodules https://github.com/opensemanticsearch/open-semantic-search.git

Inside the opensemanticsearch directory, build the Docker images use the docker-compose config docker-compose.yml :

cd opensemanticsearch
docker-compose build

After these builds all the Docker images/dependencies/services can by started together by docker-compose with the config file docker-compose.yml.

You can run the instance by typing :

docker-compose up

You can browse OpenSemanticSearch in your favourite browser at this url :

http://localhost:8080/search/

Automated tests

For CI/CD there are some different automated tests:

Integration tests

Since the submodule Open Semantic ETL uses and needs different powerful services like Solr, spacY-services or Tika-Server by HTTP and REST-API, the automated tests run as integration tests within the docker-compose environment configured in docker-compose.etl-test.yml so these services are available while running the unittests.

End to end tests

Some automated integration tests and end-to-end (E2E) tests within a web browser controlled by the browser automation framework playwright and the node.js / javascript based test framework JEST.

You can extend the automated tests in test/test.js

They run by the docker image Dockerfile-test and need the services of the docker-compose environment docker-compose.test.yml

Dependencies

Dependencies are resolved automatically by building or by installation of the Debian or Ubuntu packages or by building the Docker images.

Documentation on this dependecies which may help debugging dependency hell issues or installations in other environments:

Build dependencies on Source code (GIT)

Dependencies on other Git repositories / submodules of components like Open Semantic ETL are defined in the Git config file .gitmodules

The submodules will be checked out automatically to the subdirectory "src", if you check out this repository by git in recursive mode.

Packaging dependencies of Java archives (JAR)

The submodules tika.deb and solr.deb need the JAR of Apache Tika-Server and Apache Solr.

If not there, they will be downloaded from Apache Software Foundation by wget in the submodule "build" script or its "Dockerfile".

Installation dependencies on Debian/Ubuntu packages (DEB)

Dependecies of tools and libraries, which are available in the Debian or Ubuntu package repositories, are defined in the section "Depends" of the deb package config file DEBIAN/control

https://github.com/opensemanticsearch/open-semantic-search/blob/master/DEBIAN/control

Installation dependencies on Python packages (PIP)

Dependecies of Python libraries which are not available as packages of the Linux distribution but in Python Package Index (PyPI), are defined in

https://github.com/opensemanticsearch/open-semantic-etl/blob/master/src/opensemanticetl/requirements.txt

This dependencies will be installed automatically on installation of the Debian/Ubuntu packages by DEBIAN/postinst of the Debian/Ubuntu packages or by docker build configured by Dockerfile by

pip3 install -r /usr/lib/python3/dist-packages/opensemanticetl/requirements.txt

Owner
Open Semantic Search
Search, analyze and explore large document collections by Open Source Search Engine, Text Mining, Document analysis and Text Analytics Explorer
Open Semantic Search
This repository provides train&test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

SCUT-CTW1500 Datasets We have updated annotations for both train and test set. Train: 1000 images [images][annos] Additional point annotation for each

Yuliang Liu 600 Dec 18, 2022
Detect the mathematical formula from the given picture and the same formula is extracted and converted into the latex code

Mathematical formulae extractor The goal of this project is to create a learning based system that takes an image of a math formula and returns corres

6 May 22, 2022
Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd.

Head Detector Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd. The head_detection mod

Ramana Subramanyam 76 Dec 06, 2022
Python rubik's cube solver

This program makes a 3D representation of a rubiks cube and solves it step by step.

Pablo QB 4 May 29, 2022
Scene text detection and recognition based on Extremal Region(ER)

Scene text recognition A real-time scene text recognition algorithm. Our system is able to recognize text in unconstrain background. This algorithm is

HSIEH, YI CHIA 155 Dec 06, 2022
TedEval: A Fair Evaluation Metric for Scene Text Detectors

TedEval: A Fair Evaluation Metric for Scene Text Detectors Official Python 3 implementation of TedEval | paper | slides Chae Young Lee, Youngmin Baek,

Clova AI Research 167 Nov 20, 2022
A bot that extract text from images using the Tesseract OCR.

Text from image (OCR) @ocr_text_bot A simple bot to extract text from images. Usage What do I need? A AWS key configured locally, see here. NodeJS. I

Weverton Marques 4 Aug 06, 2021
Usando o Amazon Textract como OCR para Extração de Dados no DynamoDB

dio-live-textract2 Repositório de código para o live coding do dia 05/10/2021 sobre extração de dados estruturados e gravação em banco de dados a part

hugoportela 0 Jan 19, 2022
Recognizing the text contents from a scanned visiting card

Recognizing the text contents from a scanned visiting card. The application which is used to recognize the text from scanned images,printeddocuments,r

Faizan Habib 1 Jan 28, 2022
CUTIE (TensorFlow implementation of Convolutional Universal Text Information Extractor)

CUTIE TensorFlow implementation of the paper "CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor." Xiaohu

Zhao,Xiaohui 147 Dec 20, 2022
A curated list of awesome synthetic data for text location and recognition

awesome-SynthText A curated list of awesome synthetic data for text location and recognition and OCR datasets. Text location SynthText SynthText_Chine

Tianzhong 283 Jan 05, 2023
A PyTorch implementation of ECCV2018 Paper: TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes A PyTorch implement of TextSnake: A Flexible Representation for Detecting

Prince Wang 417 Dec 12, 2022
The virtual calculator will be above the live streaming from your camera

The virtual calculator is above the live streaming from my camera usb , the program first detect my hand and in each frame calculate the distance between two finger ,if the distance is lower than the

gasbaoui mohammed al amine 5 Jul 01, 2022
An OCR evaluation tool

dinglehopper dinglehopper is an OCR evaluation tool and reads ALTO, PAGE and text files. It compares a ground truth (GT) document page with a OCR resu

QURATOR-SPK 40 Dec 20, 2022
Python tool that takes the OCR.space JSON output as input and draws a text overlay on top of the image.

OCR.space OCR Result Checker = Draw OCR overlay on top of image Python tool that takes the OCR.space JSON output as input, and draws an overlay on to

a9t9 4 Oct 18, 2022
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

CRNN_Tensorflow This is a TensorFlow implementation of a Deep Neural Network for scene text recognition. It is mainly based on the paper "An End-to-En

MaybeShewill-CV 1000 Dec 27, 2022
An expandable and scalable OCR pipeline

Overview Nidaba is the central controller for the entire OGL OCR pipeline. It oversees and automates the process of converting raw images into citable

81 Jan 04, 2023
fishington.io bot with OpenCV and NumPy

fishington.io-bot fishington.io bot with using OpenCV and NumPy bot can continue to fishing fully automatically how to use Open cmd in fishington.io-b

Bahadır Araz 77 Jan 02, 2023
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

SynthText Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Ved

Ankush Gupta 1.8k Dec 28, 2022
OCR system for Arabic language that converts images of typed text to machine-encoded text.

Arabic OCR OCR system for Arabic language that converts images of typed text to machine-encoded text. The system currently supports only letters (29 l

Hussein Youssef 144 Jan 05, 2023