summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorYoussef Kashef <youssef.kashef@gmail.com>2016-09-13 15:52:39 +0200
committerYoussef Kashef <youssef.kashef@gmail.com>2016-09-13 15:52:39 +0200
commitfc8f3eba6fa06be2f55d1b576f46664e07f5d0a6 (patch)
tree925b0153d5e460823bc649fe326f6c1e386dc13a
parent7f8f9e146d90172e457678866961b86ae4218824 (diff)
downloadcaffe-fc8f3eba6fa06be2f55d1b576f46664e07f5d0a6.tar.gz
caffe-fc8f3eba6fa06be2f55d1b576f46664e07f5d0a6.tar.bz2
caffe-fc8f3eba6fa06be2f55d1b576f46664e07f5d0a6.zip
fix comments in matlab classification demo
-rw-r--r--matlab/demo/classification_demo.m7
1 files changed, 4 insertions, 3 deletions
diff --git a/matlab/demo/classification_demo.m b/matlab/demo/classification_demo.m
index 2b603329..435c0778 100644
--- a/matlab/demo/classification_demo.m
+++ b/matlab/demo/classification_demo.m
@@ -8,7 +8,7 @@ function [scores, maxlabel] = classification_demo(im, use_gpu)
%
% ****************************************************************************
% For detailed documentation and usage on Caffe's Matlab interface, please
-% refer to Caffe Interface Tutorial at
+% refer to the Caffe Interface Tutorial at
% http://caffe.berkeleyvision.org/tutorial/interfaces.html#matlab
% ****************************************************************************
%
@@ -24,6 +24,7 @@ function [scores, maxlabel] = classification_demo(im, use_gpu)
% $ export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/usr/local/cuda-5.5/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
+% and what versions are installed.
%
% Usage:
% im = imread('../../examples/images/cat.jpg');
@@ -39,7 +40,7 @@ function [scores, maxlabel] = classification_demo(im, use_gpu)
% Data coming in from matlab needs to be in the order
% [width, height, channels, images]
% where width is the fastest dimension.
-% Here is the rough matlab for putting image data into the correct
+% Here is the rough matlab code for putting image data into the correct
% format in W x H x C with BGR channels:
% % permute channels from RGB to BGR
% im_data = im(:, :, [3, 2, 1]);
@@ -54,7 +55,7 @@ function [scores, maxlabel] = classification_demo(im, use_gpu)
% If you have multiple images, cat them with cat(4, ...)
-% Add caffe/matlab to you Matlab search PATH to use matcaffe
+% Add caffe/matlab to your Matlab search PATH in order to use matcaffe
if exist('../+caffe', 'dir')
addpath('..');
else