bob.db.xm2vts

XM2VTS Database Access API for Bob

These details have not been verified by PyPI

Project links

Homepage

Development Status
- 4 - Beta
Environment
- Console
Framework
- Bob
Intended Audience
License
- OSI Approved :: BSD License
Natural Language
- English
Programming Language
- Python
- Python :: 3
Topic
- Database :: Front-Ends
- Scientific/Engineering :: Artificial Intelligence

Project description

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https://gitlab.idiap.ch/bob/bob.db.xm2vts/badges/v2.1.8/build.svg

https://gitlab.idiap.ch/bob/bob.db.xm2vts/badges/v2.1.8/coverage.svg

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XM2VTS Database Interface for Bob

This package is part of the signal-processing and machine learning toolbox Bob. This package contains an interface for the evaluation protocol of the XM2VTS database. This package does not contain the original XM2VTS data files, which need to be obtained through the link above.

Installation

Complete Bob’s installation instructions. Then, to install this package, run:

$ conda install bob.db.xm2vts

Contact

For questions or reporting issues to this software package, contact our development mailing list.

Project details

These details have not been verified by PyPI

Project links

Homepage

Development Status
- 4 - Beta
Environment
- Console
Framework
- Bob
Intended Audience
License
- OSI Approved :: BSD License
Natural Language
- English
Programming Language
- Python
- Python :: 3
Topic
- Database :: Front-Ends
- Scientific/Engineering :: Artificial Intelligence

Release history Release notifications | RSS feed

2.1.10

Oct 2, 2020

2.1.9

Feb 17, 2020

This version

2.1.8

Oct 29, 2019

2.1.7

Jun 21, 2019

2.1.6

Jul 19, 2018

2.1.5

Apr 13, 2018

2.1.4

Sep 23, 2017

2.1.3

Jun 2, 2017

2.1.2

Feb 20, 2017

2.1.1

Nov 29, 2016

2.1.0

Oct 4, 2016

2.0.4

Dec 17, 2015

2.0.3

Nov 26, 2015

2.0.2

Jun 16, 2015

2.0.1

Jan 23, 2015

2.0.0

Dec 11, 2014

2.0.0b1 pre-release

Nov 6, 2014

2.0.0a0 pre-release

Nov 3, 2014

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Source Distribution

bob.db.xm2vts-2.1.8.zip (40.6 kB view details)

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Download URL: bob.db.xm2vts-2.1.8.zip
Upload date: Oct 29, 2019
Size: 40.6 kB
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