Face Feature extraction using caffe pre-trained models
This package is part of the signal-processing and machine learning toolbox Bob. This package is part of the bob.bio packages, which allow to run comparable and reproducible biometric recognition experiments on publicly available databases.
This package contains functionality to run face recognition experiments. It is an extension to the bob.bio.base package, which provides the basic scripts. With this package it is possible to run feature extraction using pre-trained models of Caffe.
Installation
Complete Bob’s installation instructions. Then, to install this package, run:
$ conda install bob.bio.caffe_face
Contact
For questions or reporting issues to this software package, contact our development mailing list.
6 maintainers
Release files for bob.bio.caffe-face 1.1.3
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Source distribution (sdist)
| File | Size | Uploaded | |
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| bob.bio.caffe_face-1.1.3.zip | 23.9 kB | Details |
Release files / bob.bio.caffe_face-1.1.3.zip
| Download URL | bob.bio.caffe_face-1.1.3.zip |
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| Size | 23.9 kB |
| Tags | Source |
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twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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