Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.

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https://img.shields.io/badge/docs-available-orange.svg https://gitlab.idiap.ch/bob/bob/badges/v8.0.0/pipeline.svg https://gitlab.idiap.ch/bob/bob/badges/v8.0.0/coverage.svg https://img.shields.io/badge/gitlab-project-0000c0.svg

Bob

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at the Idiap Research Institute, Switzerland.

The toolbox is written in a mix of Python and C++ and is designed to be both efficient and reduce development time. It is composed of a reasonably large number of packages that implement tools for image, audio & video processing, machine learning & pattern recognition, and a lot more task specific packages.

Please visit our website for more information.

For the maintainers

Below are some instructions for the maintainers of the package.

Adding/Removing a dependency package

The list of bob packages here should be in sync with bob.nightlies. You may use the bdt gitlab update-bob command for automatic update of the list of packages.

Releasing a new version of Bob

See bob.devtools documentation.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Amir.Mohammadi from gravatar.com Amir.Mohammadi Avatar for anjos from gravatar.com anjos Avatar for biometrics from gravatar.com biometrics Avatar for idiap from gravatar.com idiap Avatar for laurentes from gravatar.com laurentes Avatar for siebenkopf from gravatar.com siebenkopf Avatar for smarcel from gravatar.com smarcel Avatar for tiagofrepereira from gravatar.com tiagofrepereira Avatar for ydayer from gravatar.com ydayer

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Release history Release notifications | RSS feed

12.1.1

12.1.0

12.0.0

11.3.0

11.2.0

11.1.1

11.1.0

11.0.0

10.0.0

9.0.0

This version

8.0.0

7.0.0

6.1.2

6.1.1

6.1.0

6.0.0

5.0.0

4.0.1

4.0.0

3.0.0

2.7.0

2.6.2

2.6.1

2.6.0

2.5.1

2.5.0

2.4.0

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.0

2.1.0

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.2.0

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.6

1.0.5

1.0.4

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