1642556460
BGSLibrary: A Background Subtraction Library With C++, Java & Python, MATLAB, Java and GUI on QT
BGSLibrary
A Background Subtraction Library
The BGSLibrary was developed early 2012 by Andrews Sobral to provide an easy-to-use C++ framework (wrappers for Python, Java and MATLAB are also available) for foreground-background separation in videos based on OpenCV. The bgslibrary is compatible with OpenCV 2.4.x, 3.x and 4.x, and compiles under Windows, Linux, and Mac OS X. Currently the library contains 43 algorithms. The source code is available under the MIT license, the library is available free of charge to all users, academic and commercial.
Which algorithms really matter?
Installation instructions
You can either install BGSLibrary via pre-built binary package or build it from source via:
git clone --recursive https://github.com/andrewssobral/bgslibrary.git
Supported Compilers are:
GCC 4.8 and above
Clang 3.4 and above
MSVC 2015, 2017, 2019
Other compilers might work, but are not officially supported. The bgslibrary requires some features from the ISO C++ 2014 standard.
Graphical User Interface:
Wrappers:
How to integrate BGSLibrary in your own CPP code
Stargazers over time
Citation
If you use this library for your publications, please cite it as:
@inproceedings{bgslibrary,
author = {Sobral, Andrews},
title = {{BGSLibrary}: An OpenCV C++ Background Subtraction Library},
booktitle = {IX Workshop de Visão Computacional (WVC'2013)},
address = {Rio de Janeiro, Brazil},
year = {2013},
month = {Jun},
url = {https://github.com/andrewssobral/bgslibrary}
}
A chapter about the BGSLibrary has been published in the handbook on Background Modeling and Foreground Detection for Video Surveillance.
@incollection{bgslibrarychapter,
author = {Sobral, Andrews and Bouwmans, Thierry},
title = {BGS Library: A Library Framework for Algorithm’s Evaluation in Foreground/Background Segmentation},
booktitle = {Background Modeling and Foreground Detection for Video Surveillance},
publisher = {CRC Press, Taylor and Francis Group.}
year = {2014},
}
Download PDF:
Sobral, Andrews. BGSLibrary: An OpenCV C++ Background Subtraction Library. IX Workshop de Visão Computacional (WVC'2013), Rio de Janeiro, Brazil, Jun. 2013. (PDF in brazilian-portuguese containing an english abstract).
Sobral, Andrews; Bouwmans, Thierry. "BGS Library: A Library Framework for Algorithm’s Evaluation in Foreground/Background Segmentation". Chapter on the handbook "Background Modeling and Foreground Detection for Video Surveillance", CRC Press, Taylor and Francis Group, 2014. (PDF in english).
Some references
Some algorithms of the BGSLibrary were used successfully in the following papers:
(2014) Sobral, Andrews; Vacavant, Antoine. A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos. Computer Vision and Image Understanding (CVIU), 2014. (Online) (PDF)
(2013) Sobral, Andrews; Oliveira, Luciano; Schnitman, Leizer; Souza, Felippe. (Best Paper Award) Highway Traffic Congestion Classification Using Holistic Properties. In International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA'2013), Innsbruck, Austria, Feb 2013. (Online) (PDF)
Videos
Download Details:
Author: andrewssobral
Source Code: https://github.com/andrewssobral/bgslibrary
License: View license
1641561900
Spring Data Couchbase: Provide A Familiar and Consistent Spring
Spring Data Couchbase
The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud based data services.
The Spring Data Couchbase project aims to provide a familiar and consistent Spring-based programming model for Couchbase Server as a document database and cache while retaining store-specific features and capabilities. Key functional areas of Spring Data Couchbase are a POJO centric model for interacting with a Couchbase Server Bucket and easily writing a repository style data access layer.
Integration tests require a couchbase server with a bucket name "protected" with "password" as the password set. If the server allows users, then an user with username "protected" with "password" as the password should also be set. The recommended way to run tests is to install docker and use container in server.properties.
This project is lead and maintained by Couchbase, Inc.
Features
- Spring configuration support using Java based
@Configurationclasses or an XML namespace for the Couchbase driver (Java SDK version 2.x). CouchbaseTemplatehelper class that increases productivity performing common Couchbase operations. Includes integrated object mapping between documents and POJOs.- Exception translation into Spring’s portable Data Access Exception hierarchy.
- Feature Rich Object Mapping integrated with Spring’s Conversion Service.
- Annotation based mapping metadata but extensible to support other metadata formats.
- Automatic implementation of
Repositoryinterfaces including support for custom finder methods (backed by Couchbase’s query language,N1QL) andPagingAndSortingRepository. - For Couchbase server versions < 4.0, repositories can still be backed by Couchbase Views.
- Support for geospatial and multidimensional querying (backed by Couchbase Spatial Views)
- JMX administration and monitoring
- Can serve as the backend for
@Cacheablesupport, to cache any objects you need for high performance access (see sibling Spring Cache project in Couchbase’s github, couchbaselabs/couchbase-spring-cache).
Version compatibility
Spring-Data Couchbase 3.0.x is the Spring Data connector for the Couchbase Java SDK 2.x generation.
Both the SDK and this Spring Data community project are major version changes with lots of differences from their respective previous versions.
Notably, this version is compatible with Couchbase Server 4.0, bringing support for the N1QL query language.
Code of Conduct
This project is governed by the Spring Code of Conduct. By participating, you are expected to uphold this code of conduct. Please report unacceptable behavior to spring-code-of-conduct@pivotal.io.
Getting Started
Here is a quick teaser of an application using Spring Data Repositories in Java:
public interface PersonRepository extends CrudRepository<Person, Long> {
List<Person> findByLastname(String lastname);
List<Person> findByFirstnameLike(String firstname);
}
@Service
public class MyService {
private final PersonRepository repository;
public MyService(PersonRepository repository) {
this.repository = repository;
}
public void doWork() {
repository.deleteAll();
Person person = new Person();
person.setFirstname("Couch");
person.setLastname("Base");
repository.save(person);
List<Person> lastNameResults = repository.findByLastname("Base");
List<Person> firstNameResults = repository.findByFirstnameLike("Cou*");
}
}
@Configuration
@EnableCouchbaseRepositories
public class Config extends AbstractCouchbaseConfiguration {
@Override
protected List<String> getBootstrapHosts() {
return Arrays.asList("host1", "host2");
}
@Override
protected String getBucketName() {
return "default";
}
@Override
protected String getPassword() {
return "";
}
}Maven configuration
Add the Maven dependency:
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-couchbase</artifactId>
<version>${version}</version>
</dependency>If you’d rather like the latest snapshots of the upcoming major version, use our Maven snapshot repository and declare the appropriate dependency version.
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-couchbase</artifactId>
<version>${version}-SNAPSHOT</version>
</dependency>
<repository>
<id>spring-libs-snapshot</id>
<name>Spring Snapshot Repository</name>
<url>https://repo.spring.io/libs-snapshot</url>
</repository>Getting Help
Having trouble with Spring Data? We’d love to help!
- Check the reference documentation, and Javadocs.
- Learn the Spring basics – Spring Data builds on Spring Framework, check the spring.io web-site for a wealth of reference documentation. If you are just starting out with Spring, try one of the guides.
- If you are upgrading, check out the changelog for “new and noteworthy” features.
- Ask a question - we monitor stackoverflow.com for questions tagged with
spring-data-couchbase. You can also chat with the community on Gitter. - Report bugs with Spring Data Couchbase at jira.spring.io/browse/DATACOUCH.
Reporting Issues
Spring Data uses JIRA as issue tracking system to record bugs and feature requests. If you want to raise an issue, please follow the recommendations below:
- Before you log a bug, please search the issue tracker to see if someone has already reported the problem.
- If the issue doesn’t already exist, create a new issue.
- Please provide as much information as possible with the issue report, we like to know the version of Spring Data that you are using and JVM version.
- If you need to paste code, or include a stack trace use JIRA
{code}…{code}escapes before and after your text. - If possible try to create a test-case or project that replicates the issue. Attach a link to your code or a compressed file containing your code.
Building from Source
You don’t need to build from source to use Spring Data (binaries in repo.spring.io), but if you want to try out the latest and greatest, Spring Data can be easily built with the maven wrapper. You also need JDK 1.8.
$ ./mvnw clean installIf you want to build with the regular mvn command, you will need Maven v3.5.0 or above.
Also see CONTRIBUTING.adoc if you wish to submit pull requests, and in particular please sign the Contributor’s Agreement before your first non-trivial change.
Building reference documentation
Building the documentation builds also the project without running tests.
$ ./mvnw clean install -PdistributeThe generated documentation is available from target/site/reference/html/index.html.
Examples
Spring Data Examples contains example projects that explain specific features in more detail.
Download Details:
Author: spring-projects
Source Code: https://github.com/spring-projects/spring-data-couchbase
License: Apache-2.0 License
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