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Alexander Freytag ff55002afa support of filelists with relative filenames		vor 8 Jahren
.gitignore	943926a51a first commit, supports loading of networks, image preparation, feat extraction for single image	vor 9 Jahren
README.md	d089a282f2 added small readme	vor 8 Jahren
caffe_features_multiple_images.m	ff55002afa support of filelists with relative filenames	vor 8 Jahren
caffe_features_single_image.m	76f292a096 safety check for normalization, no division by zero	vor 9 Jahren
caffe_load_network.m	9b6c843a8d adaptation towards recent caffe layout, made location globally known	vor 8 Jahren
caffe_prepare_image.m	943926a51a first commit, supports loading of networks, image preparation, feat extraction for single image	vor 9 Jahren
getFieldWithDefault.m	c21c1976ce feature extraction supports bilinear pooling and logm transformation	vor 9 Jahren
initWorkspaceCaffeTools.m	4072de12c2 minor adaptation in init script	vor 8 Jahren

Summary

A small wrapper library to extract activations of deep neural networks using the popular Caffe toolbox.

Requirements / Dependencies

A compiled version of Caffe, tested with 2016-08-20 (hash 14643685a4 )
The source code was developed in Matlab 8.2

Installation

setup required paths and 3rd-party dependencies via initWorkspaceCaffeTools.m (if caffe is not found on your system, a possible code mirror is suggested)

Common errors

Do not forget to add caffe's dependencies (e.g., cuda, gflgs, protobuf, leveldb, lmdb, and mkl) to your LD_LIBRARY_PATH and PATH variable before starting Matlab