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| author | Ross Girshick <rbg@eecs.berkeley.edu> | 2013-11-22 14:16:58 -0800 |
|---|---|---|
| committer | Ross Girshick <rbg@eecs.berkeley.edu> | 2013-11-22 14:16:58 -0800 |
| commit | 3f57281121e8f86aa63be69f2903c752eadd1f51 (patch) | |
| tree | b86105b1fa0f19fca47c66ec46f6d1b31a1cfada /matlab | |
| parent | 41617345dba672add8ccd101ecb49a503c724d26 (diff) | |
| download | caffeonacl-3f57281121e8f86aa63be69f2903c752eadd1f51.tar.gz caffeonacl-3f57281121e8f86aa63be69f2903c752eadd1f51.tar.bz2 caffeonacl-3f57281121e8f86aa63be69f2903c752eadd1f51.zip | |
update Makefile and add some more docs
Diffstat (limited to 'matlab')
| -rw-r--r-- | matlab/caffe/matcaffe_demo.m | 10 |
1 files changed, 10 insertions, 0 deletions
diff --git a/matlab/caffe/matcaffe_demo.m b/matlab/caffe/matcaffe_demo.m index d0702684..3eb4f107 100644 --- a/matlab/caffe/matcaffe_demo.m +++ b/matlab/caffe/matcaffe_demo.m @@ -9,6 +9,16 @@ function scores = matcaffe_demo(im, use_gpu) % % output % scores 1000-dimensional ILSVRC score vector +% +% You may need to do the following before you start matlab: +% $ export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/usr/local/cuda/lib64 +% $ export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6 +% Or the equivalent based on where things are installed on your system +% +% Usage: +% im = imread('../../examples/cat.jpg'); +% scores = matcaffe_demo(im, 1); +% [score, class] = max(scores); model_def_file = '../../examples/imagenet_deploy.prototxt'; % NOTE: you'll have to get the pre-trained ILSVRC network |