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16 コミット

Alexander Freytag ff55002afa support of filelists with relative filenames		9 年前
.gitignore	943926a51a first commit, supports loading of networks, image preparation, feat extraction for single image	10 年前
README.md	d089a282f2 added small readme	9 年前
caffe_features_multiple_images.m	ff55002afa support of filelists with relative filenames	9 年前
caffe_features_single_image.m	76f292a096 safety check for normalization, no division by zero	9 年前
caffe_load_network.m	9b6c843a8d adaptation towards recent caffe layout, made location globally known	9 年前
caffe_prepare_image.m	943926a51a first commit, supports loading of networks, image preparation, feat extraction for single image	10 年前
getFieldWithDefault.m	c21c1976ce feature extraction supports bilinear pooling and logm transformation	10 年前
initWorkspaceCaffeTools.m	4072de12c2 minor adaptation in init script	9 年前

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