Saravanan666/pypi-org huggingface dataset:
Package: bob.bio.pericrosseye_competition
Periocular Recognition COMPETITION experiment scriptsThis package is part of the signal-processing and machine learning toolboxBob.
This package is part of thebob.biopackages, which allow to run comparable and reproducible biometric recognition experiments on publicly available databases.This package contains the scripts to reproduce the experiments of the 2nd Cross-Spectrum Iris/Periocular Recognition COMPETITION.
It is an extension to thebob.bio.basepackage, which provides the basic scripts.
Please go in the package documentation in order to learn how to reproduce the results.InstallationFollow ourinstallationinstructions. Then, using the Python interpreter
provided by the distribution, bootstrap and buildout this package:$ python bootstrap-buildout.py
$ ./bin/buildoutContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.bio.spear
Run speaker recognition algorithmsThis package is part of the signal-processing and machine learning toolboxBob.
This package is part of thebob.biopackages, which allow to run comparable
and reproducible biometric recognition experiments on publicly available
databases.This package contains functionality to run speaker recognition experiments.
It is an extension to thebob.bio.basepackage, which
provides the basic scripts.
This package contains utilities that are specific for speaker recognition, such
as:Audio databasesVoice activity detection preprocessingAcoustic feature extractorsRecognition algorithms based on acoustic featuresFor further information aboutbob.bio, please readits Documentation.InstallationComplete Bob'sinstallation instructions. Then,
to install this package, run:pipinstallbob.bio.spearContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.bio.vein
Vein Recognition LibraryThis package is part of the signal-processing and machine learning toolboxBob. It contains resources for finger,
palm and wrist vein recognition asbob.bio.baseplugins.InstallationComplete Bob'sinstallation instructions. Then, to install this package, run:condainstallbob.bio.veinContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.bio.video
Run video face recognition algorithmsThis package is part of the signal-processing and machine learning toolboxBob.
This package contains functionality to run video face recognition experiments.
It is an extension to thebob.bio.basepackage, which
provides the basic scripts.
In this package, wrapper classes are provide, which allow to run traditional
image-based face recognition algorithms on video data.InstallationComplete Bob'sinstallation instructions. Then,
to install this package, run:condainstallbob.bio.videoContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.blitz
Python bindings for Blitz++ ArraysThis package is part of the signal-processing and machine learning toolboxBob. It provides a bridge between our C++ array infrastructure (based on
Blitz++) and NumPy arrays. Almost all of our Python C/C++ extensions use this
package to transparently and efficiently convert NumPy arrays to Blitz++ arrays
and vice-versa.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.blitzContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.buildout
Buildout Recipes for Bob PackagesThis package is part of the signal-processing and machine learning toolboxBob. It contains a number ofzc.buildoutrecipes for simplifying
development ofBobpackages.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.buildoutContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bobcatpy
bobcatpyAn asyncio based Python library to interact with the Bobcat Helium miner diagnostics API.bobcatpyprovides an alternative way to interact with the Bobcat diagnoser interface.Installationbobcatpyis available through PyPi.pip install bobcatpyUsagefrombobcatpyimportBobcatimportasyncioasyncdefmain():b=Bobcat("10.10.21.70")status=awaitb.status_summary()print(status)awaitb.close_session()asyncio.run(main())
Package: bob.chapter.FRICE
Face Recognition in Challenging Environments: An Experimental and Reproducible Research SurveyThis package provides all the scripts to run the face verification experiments of the book chapter “Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey”, which is part of the Springer book “Face Recognition Across the Imaging Spectrum”.
The original publication can be downloaded from theIdiap publication serverand from theSpringer web page.InstallationFor installation and usage instructions, please read theonline documentation.Getting helpIn case anything goes wrong, please contactour mailing list.
Package: bob.core
Bob’s Core UtilitiesThis package is part of the signal-processing and machine learning toolboxBob. It contains a set of Pythonic bindings for Bob’s core package and
functionality like logging, random number generation and array type conversion.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.coreContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.arface
AR Face Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob.
This package contains an interface for the evaluation protocol of theAR facedatabase.
This package does not contain the originalAR facedata files, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.arfaceContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.asvspoof
ASVspoof Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains a Bob-based access API for theASVspoofDatabase. The
database has been used in the first Automatic Speaker Verification Spoofing and
Countermeasures Challenge (ASVspoof 2015). Genuine speech is collected from 106
speakers (45 male, 61 female) and with no significant channel or background
noise effects. Spoofed speech is generated from the genuine data using a number
of different spoofing algorithms. The full dataset is partitioned into three
subsets, the first for training, the second for development, and the third for
evaluation. More details can be found in the evaluation plan in the summary
paper:@inproceedings{WuASVspoof2015,
  title={{ASVspoof} 2015: the First Automatic Speaker Verification Spoofing and Countermeasures Challenge},
  author={Wu, Zhizheng and Kinnunen, Tomi and Evans, Nicholas and Yamagishi, Junichi and
        Hanil{\c{c}}i, Cemal and Sahidullah, Md and Sizov, Aleksandr},
  booktitle={INTERSPEECH},
  month=sep,
  address={Dresden, Germany},
  year={2015},
  pages={2037-2041}
}InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.asvspoofContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.asvspoof2017
ASVspoof2017 Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains a Bob-based access API for theASVspoof2017Database. The
database is used in Automatic Speaker Verification Spoofing and Countermeasures
Challenge (ASVspoof 2017). Genuine speech is collected from 10
speakers for training set and 8 speakers for development set.
Presentation attacks are then generated from the genuine data using a number
of different replay attacks using different devices recorded in different environments.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.asvspoof2017ContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.atnt
AT&T Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains an interface for the evaluation protocol of theAT&Tdatabase, formerly known as the ORL database of faces. This package does not
contain the originalAT&Tdata files, which need to be obtained through the
link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.atntContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.atvskeystroke
ATVS-Keystroke Database Access API for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains the access API and descriptions for theATVS keystroke
database.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.atvskeystrokeContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.avspoof
AVspoof Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains the access API and descriptions for theAVspoofDatabase.
The database contains speech recordings of 44 persons (31 males and 13 females)
performed during the course of two months in four different sessions. The
database also contains several spoofing attacks for the recorded speech,
including voice conversion, speech synthesis, and replay attacks.  Replay
attacks were performed using laptop or two different phones.This package contains theBob-compliant interface implementation with methods
to use the database directly from Python with our certified protocols.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.avspoofContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.avspoof_btas2016
Database Interface used in BTAS 2016 competitionThis package contains the access API and descriptions for the Evaluation (Test) set that is used in BTAS 2016 Speaker Anti-spoofing Competition. This set contains a set of randomized speech recordings with unknown genuine data and spoofing attacks. Majority of the data is taken fromAVspoofdatabase. The evaluation set can be downloadedhere.This package contains theBob-compliant interface implementation with methods to use the evaluation set directly from Python with our certified protocols.InstallationTo install this package – alone or together with otherPackages of Bob– please read theInstallation Instructions.
ForBobto be able to work properly, some dependent packages are required to be installed.
Please make sure that you have read theDependenciesfor your operating system.Getting the dataThe data can be downloaded from theAVspoofdatabase original URL (https://www.idiap.ch/dataset/avspoof), for which you need to sign the EULA.DocumentationFor further documentation on this package, please read theStable Versionor theLatest Versionof the documentation.
For a list of tutorials on this or the other packages obBob, or information on submitting issues, asking questions and starting discussions, please visit its website.
Package: bob.db.banca
BANCA Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob.
This package contains an interface for the evaluation protocol of the BANCA database, particularly for the English protocol of BANCA. This package does not contain the original BANCA data files, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.bancaContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.batl
BATL database interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains a set of tools to query the data from the BATL database, and is called a
low-level database interface according to the taxonomy introduced in bob.db.base. Note, this package
doesn’t contain the original data and annotations. Please follow the download instructions from the
homepage of the BATL database to obtain the data.InstallationFollow ourinstallationinstructions. Then, using the Python interpreter
provided by the distribution, build this package with:$ buildoutContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.bio_filelist
Verification File Lists Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob.
The Verification Filelist database API provides mechanisms to create an API for a verification database and protocol, the user providing file lists. This is usually the fastest way to generate biometric verification experiments on your own data, which are compatible with other verification databases in Bob.InstallationFollow ourinstallationinstructions. Then, using the Python interpreter
provided by the distribution, bootstrap and buildout this package:$ python bootstrap-buildout.py
$ ./bin/buildoutContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.biosecure
BioSecure Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBoband it contains an interface for the evaluation protocol of the BioSecure database, particularly for the images from the BioSecure database.
It is worth noting that this package does not contain the original BioSecure data files, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.biosecureContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.biosecurid.face
BiosecurID DatabaseThis package is part of the signal-processing and machine learning toolboxBob. It contains the access API and descriptions for the face modality of theBiosecurID Database.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.biosecurid.faceContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.brsu
Bob’s interface for the BRSU Multispectral Face/Skin DatabaseThis package is part of the signal-processing and machine learning toolboxBob.It contains an interface for theBRSU Skin/Face/SpoofDatabase.
Notice this package does not contain the raw data files from this dataset, which need to be obtained through the link above.InstallationComplete bob’sinstallationinstructions. Then, to install this
package, run:$ conda install bob.db.brsuContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.casia-fasd
CASIA Face Anti-Spoofing Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. This package contains theBobaccessor methods to use the CASIA-FASD
directly from python, with our certified protocols. The actual raw data forCASIA FASDdatabase should be downloaded from the original URL. The
CASIA-FASD database is a spoofing attack database which consists of three types
of attacks: warped printed photographs, printed photographs with cut eyes and
video attacks. The samples are taken with three types of cameras: low quality,
normal quality and high quality.Reference:Z. Zhang, J. Yan, S. Lei, D. Yi, S. Z. Li: "A Face Antispoofing Database with Diverse Attacks", In proceedings of the 5th IAPR International Conference on Biometrics (ICB'12), New Delhi, India, 2012.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.casia_fasdContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.casiasurf
CASIA-SURF Database Access API for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains an interface for theCASIA-SURFDatabase.
Notice this package does not contain the raw data files from this dataset, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.casiasurfContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.casme2
CASME 2 Spotaneous Subtle Expression DatabaseThis package is part of the signal-processing and machine learning toolboxBob.
This package contains an interface for the evaluation protocol of theCASME2database.
This package does not contain the originalCASME2data files, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.casme2ContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.caspeal
CAS-PEAL Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBoband it contains an interface for the evaluation protocols of theCAS-PEALR1 database.
It worth noting that this package does not contain the originalCAS-PEALdata files, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.caspealContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.cbsr-nir-vis-2
CASIA NIR-VIS 2.0 Face DatabaseThis package contains the access API and descriptions for theCASIA NIR-VIS
2.0 database.
The actual raw data for the database should be downloaded from the original
URL. This package only contains the Bob accessor methods to use the DB
directly from python, with the original protocol of the database.CASIA NIR-VIS 2.0 database offers pairs of mugshot images and their
correspondent NIR photos. Capured by CASIA (Chinese Academy of Sciences), the
images of this database were collected in four recording sessions: 2007 spring,
2009 summer, 2009 fall and 2010 summer, in which the first session is identical
to theHFB database.
The CASIA NIR-VIS 2.0 database consists of 725 subjects in total. There are
1-22 VIS and 5-50 NIR face images per subject.InstallationFollow ourinstallationinstructions. Then, to install this package, run:$ conda install bob.db.cbsr_nir_vis_2ContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.chasedb1
CHASE_DB1 Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It provides an interface for theCHASE_DB1 Dataset. This package does
not contain the original data files, which need to be obtained through the link
above.InstallationComplete bob’sinstallationinstructions. Then, to install this
package, run:$ conda install bob.db.chasedb1ContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.cohface
COHFACE Database Access API for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains an interface for the evaluation protocols of theCOHFACE
Database. Notice this package does not contain the raw data files from this
dataset, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.cohfaceContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.cuhk-cufs
CUHK Face Sketch Database (CUFS)This package is part of the signal-processing and machine learning toolboxBob.
This package contains the access API and descriptions for theCUHK Face Sketch Database (CUFS) <http://mmlab.ie.cuhk.edu.hk/archive/facesketch.html>.
The actual raw data for the database should be downloaded from the original URL.
This package only contains the Bob accessor methods to use the DB directly from python, with the original protocol of the database.CUHK Face Sketch database (CUFS) is for research on face sketch synthesis and face sketch recognition.
It includes 188 faces from the Chinese University of Hong Kong (CUHK) student database, 123 faces from the AR database, and 295 faces from the XM2VTS database.
There are 606 faces in total.
For each face, there is a sketch drawn by an artist based on a photo taken in a frontal pose, under normal lighting condition, and with a neutral expression.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.cuhk_cufsContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.cuhk-cufsf
CUHK Face Sketch FERET Database (CUFSF)This package is part of the signal-processing and machine learning toolboxBob.
This package contains the access API and descriptions for theCUHK Face Sketch Database (CUFS) <http://mmlab.ie.cuhk.edu.hk/archive/facesketch.html>.
The actual raw data for the database should be downloaded from the original URL.
This package only contains the Bob accessor methods to use the DB directly from python, with the original protocol of the database.CUHK Face Sketch FERET Database (CUFSF) is for research on face sketch synthesis and face sketch recognition.
It includes 1194 faces from the FERET database with their respective sketches (drawn by an artist based on a photo of the FERET database).InstallationFollow ourinstallationinstructions. Then, to install this package, run:$ conda install bob.db.cuhk_cufsfContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.drionsdb
DRIONS-DB Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It provides an interface for theDRIONS-DB Dataset. This package does
not contain the original data files, which need to be obtained through the link
above.InstallationComplete bob’sinstallationinstructions. Then, to install this
package, run:$ conda install bob.db.drionsdbContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.drishtigs1
Drishti-GS1 Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It provides an interface for theDrishti-GS1 Dataset. This package does
not contain the original data files, which need to be obtained through the link above.InstallationComplete bob’sinstallationinstructions. Then, to install this
package, run:$ conda install bob.db.drishtigs1ContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.drive
DRIVE Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It provides an interface for theDRIVE Dataset. This package does
not contain the original data files, which need to be obtained through the link
above.InstallationComplete bob’sinstallationinstructions. Then, to install this
package, run:$ conda install bob.db.driveContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.fargo
FARGO Database Access API for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains an interface for the evaluation protocols of theFARGODatabase.
Notice this package does not contain the raw data files from this dataset, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.fargoContactFor questions or reporting issues to this software package, contact our
developmentmailing list.