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 contain Opencv Projects in python

Python-Opencv OpenCV OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was

Yash Sakre 2 Nov 06, 2021
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
Python package for handwriting and sketching in Jupyter cells

ipysketch A Python package for handwriting and sketching in Jupyter notebooks. Usage A movie is worth a thousand pictures is worth a million words...

Matthias Baer 16 Jan 05, 2023
a deep learning model for page layout analysis / segmentation.

OCR Segmentation a deep learning model for page layout analysis / segmentation. dependencies tensorflow1.8 python3 dataset: uw3-framed-lines-degraded-

99 Dec 12, 2022
This repo contains several opencv projects done while learning opencv in python.

opencv-projects-python This repo contains both several opencv projects done while learning opencv by python and opencv learning resources [Basic conce

Fatin Shadab 2 Nov 03, 2022
~1000 book pages + OpenCV + python = page regions identified as paragraphs, lines, images, captions, etc.

cosc428-structor I had an open-ended Computer Vision assignment to complete, and an out-of-copyright book that I wanted to turn into an ebook. Convent

Chad Oliver 45 Dec 06, 2022
BoxToolBox is a simple python application built around the openCV library

BoxToolBox is a simple python application built around the openCV library. It is not a full featured application to guide you through the w

František Horínek 1 Nov 12, 2021
零样本学习测评基准,中文版

ZeroCLUE 零样本学习测评基准,中文版 零样本学习是AI识别方法之一。 简单来说就是识别从未见过的数据类别,即训练的分类器不仅仅能够识别出训练集中已有的数据类别, 还可以对于来自未见过的类别的数据进行区分。 这是一个很有用的功能,使得计算机能够具有知识迁移的能力,并无需任何训练数据, 很符合现

CLUE benchmark 27 Dec 10, 2022
Code for paper "Role-based network embedding via structural features reconstruction with degree-regularized constraint"

Role-based network embedding via structural features reconstruction with degree-regularized constraint Train python main.py --dataset brazil-flights

wang zhang 1 Jun 28, 2022
PianoVisuals - Create background videos synced with piano music using opencv

Steps Record piano video Use Neural Network to do body segmentation (video matti

Solbiati Alessandro 4 Jan 24, 2022
This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

TransFG: A Transformer Architecture for Fine-grained Recognition Official PyTorch code for the paper: TransFG: A Transformer Architecture for Fine-gra

Ju He 307 Jan 03, 2023
1st place solution for SIIM-FISABIO-RSNA COVID-19 Detection Challenge

SIIM-COVID19-Detection Source code of the 1st place solution for SIIM-FISABIO-RSNA COVID-19 Detection Challenge. 1.INSTALLATION Ubuntu 18.04.5 LTS CUD

Nguyen Ba Dung 170 Dec 21, 2022
An unofficial implementation of the paper "AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss".

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss This is an unofficial implementation of AutoVC based on the official one. The reposi

Chien-yu Huang 27 Jun 16, 2022
A dataset handling library for computer vision datasets in LOST-fromat

A dataset handling library for computer vision datasets in LOST-fromat

8 Dec 15, 2022
Create single line SVG illustrations from your pictures

Create single line SVG illustrations from your pictures

Javier Bórquez 686 Dec 26, 2022
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

Overview This collection demonstrates how to construct and train a deep, bidirectional stacked LSTM using CNN features as input with CTC loss to perfo

Jerod Weinman 489 Dec 21, 2022
Aloception is a set of package for computer vision: aloscene, alodataset, alonet.

Aloception is a set of package for computer vision: aloscene, alodataset, alonet.

Visual Behavior 86 Dec 28, 2022
Pixie - A full-featured 2D graphics library for Python

Pixie - A full-featured 2D graphics library for Python Pixie is a 2D graphics library similar to Cairo and Skia. pip install pixie-python Features: Ty

treeform 65 Dec 30, 2022
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

text-detection-ctpn Scene text detection based on ctpn (connectionist text proposal network). It is implemented in tensorflow. The origin paper can be

Shaohui Ruan 3.3k Dec 30, 2022