This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Project Description

Bob interface for feature extraction using Caffe

This package contains functionality to extract features from CNNs trained with caffe http://caffe.berkeleyvision.org/

Installation

To install this package – alone or together with other Packages of Bob – please read the Installation Instructions. For Bob to be able to work properly, some dependent packages are required to be installed. Please make sure that you have read the Dependencies for your operating system.

Documentation

For further documentation on this package, please read the Latest Version of the documentation.

Warning

For this package it is assumed that you followed ALL the installation instructions for the package caffe (http://caffe.berkeleyvision.org/installation.html). The code below is one option to make caffe visible inside this python package:

$ export PYTHONPATH=$PYTHONPATH:/<CAFFE-DIR>/python

This package also wrapps the VGG face model trained by Oxford (http://www.robots.ox.ac.uk/~vgg/software/vgg_face/). To automatically download the model, please run the script below. More details on how to use it, please go to the reference manual.

$ ./bin/download_VGG.py download

Warning

For pycaffe, if you are at IDIAP, I recommend to install all the caffe python dependencies in a virtualenv or with miniconda.

Release History

Release History

1.0.1

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
bob.ip.caffe_extractor-1.0.1.zip (168.1 kB) Copy SHA256 Checksum SHA256 Source Sep 21, 2016

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