Skip to main content

badge doc badge pipeline badge coverage badge gitlab

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 Python 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.

Installation

This package does nothing by itself. You should not need to install it, it will be installed as dependency of the utility package you use like bob.bio.face.

For the maintainers

The bob packages are developed using idiap-devtools. Please refer to their documentation for release procedures.

Release files for bob 12.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for bob 12.1.1
File Size Uploaded
bob-12.1.1.tar.gz 24.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for bob 12.1.1
File Interpreter ABI Platform
bob-12.1.1-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 29.4 kB

Release files / bob-12.1.1.tar.gz

Download URL bob-12.1.1.tar.gz
Size 24.4 kB
Tags Source
SHA-256 checksum
How to use checksums
e406385f9b641bd0d57fd81736b2db02073dabb71549c12c02ce04e7ecb0ec93
BLAKE2b-256 checksum
How to use checksums
578938a0d87e64975162679f05968b936258bc14a74ad32d5434157c24337cc3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.14

Release files / bob-12.1.1-py2.py3-none-any.whl

Download URL bob-12.1.1-py2.py3-none-any.whl
Size 4.9 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
248541429173be72e7fd53c6c182cd05bd4a8f2423de022bbf1fd799e9332fa9
BLAKE2b-256 checksum
How to use checksums
0237acc3670c863de3e7decb57af64003490eb0e4b3857916a32ff7047e33a43
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.14

Release history Release notifications | RSS feed

This release

12.1.1 This release

2 release files

12.1.0

2 release files

12.0.0

2 release files

11.3.0

1 release file

11.2.0

1 release file

11.1.1

1 release file

11.1.0

1 release file

11.0.0

1 release file

10.0.0

1 release file

9.0.0

1 release file

8.0.0

1 release file

7.0.0

1 release file

6.1.2

1 release file

6.1.1

1 release file

6.1.0

1 release file

6.0.0

1 release file

5.0.0

1 release file

4.0.1

1 release file

4.0.0

1 release file

3.0.0

1 release file

2.7.0

1 release file

2.6.2

1 release file

2.6.1

1 release file

2.6.0

1 release file

2.5.1

1 release file

2.5.0

1 release file

2.4.0

1 release file

2.3.4

1 release file

2.3.3

1 release file

2.3.2

1 release file

2.3.1

1 release file

2.3.0

1 release file

2.2.0

1 release file

2.1.0

1 release file

2.0.7

1 release file

2.0.6

1 release file

2.0.5

1 release file

2.0.4

1 release file

2.0.3

1 release file

2.0.2

1 release file

2.0.1

2.0.0

1 release file

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

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page