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Alexander Freytag 061c83ef85 license issue il y a 8 ans
.gitignore 943926a51a first commit, supports loading of networks, image preparation, feat extraction for single image il y a 9 ans
README.md 061c83ef85 license issue il y a 8 ans
caffe_features_multiple_images.m ff55002afa support of filelists with relative filenames il y a 8 ans
caffe_features_single_image.m 76f292a096 safety check for normalization, no division by zero il y a 8 ans
caffe_load_network.m 9b6c843a8d adaptation towards recent caffe layout, made location globally known il y a 8 ans
caffe_prepare_image.m 943926a51a first commit, supports loading of networks, image preparation, feat extraction for single image il y a 9 ans
getFieldWithDefault.m c21c1976ce feature extraction supports bilinear pooling and logm transformation il y a 9 ans
initWorkspaceCaffeTools.m 4072de12c2 minor adaptation in init script il y a 8 ans

README.md

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

COPYRIGHT

This software is licensed under the non-commercial license Creative Commons Attribution 4.0 International License. For usage beyond the scope of this license, please contact Alex Freytag.