rm accidentally added file

matlab/init_cnn_model.m

-function cnn = init_cnn_model(varargin)
-% cnn = init_cnn_model
-% Initialize a CNN with caffe
-%
-% Optional arguments
-% net_file   network binary file
-% def_file   network prototxt file
-% use_gpu    set to false to use CPU (default: true)
-% use_caffe  set to false to avoid using caffe (default: true)
-%            useful for running on the cluster (must use cached pyramids!)
-
-% ------------------------------------------------------------------------
-% Options
-ip = inputParser;
-
-% network binary file
-ip.addParamValue('net_file', ...
-    './data/caffe_nets/ilsvrc_2012_train_iter_310k', ...
-    @isstr);
-
-% network prototxt file
-ip.addParamValue('def_file', ...
-    './model-defs/pyramid_cnn_output_conv5_scales_7_plane_1713.prototxt', ...
-    @isstr);
-
-% Set use_gpu to false to use the CPU
-ip.addParamValue('use_gpu', true, @islogical);
-
-% Set use_caffe to false to avoid using caffe
-% (must be used in conjunction with cached features!)
-ip.addParamValue('use_caffe', true, @islogical);
-
-ip.parse(varargin{:});
-opts = ip.Results;
-% ------------------------------------------------------------------------
-
-cnn.binary_file = opts.net_file;
-cnn.definition_file = opts.def_file;
-cnn.init_key = -1;
-
-% load the ilsvrc image mean
-data_mean_file = 'ilsvrc_2012_mean.mat';
-assert(exist(data_mean_file, 'file') ~= 0);
-% input size business isn't likley necessary, but we're doing it
-% to be consistent with previous experiments
-ld = load(data_mean_file);
-mu = ld.image_mean; clear ld;
-input_size = 227;
-off = floor((size(mu,1) - input_size)/2)+1;
-%mu = mu(off:off+input_size-1, off:off+input_size-1, :);
-%mu = sum(sum(mu, 1), 2) / size(mu, 1) / size(mu, 2);
-cnn.mu = reshape([102.9801, 115.9465, 122.7717], [1 1 3]);
-
-if opts.use_caffe
-  cnn.init_key = ...
-      caffe('init', cnn.definition_file, cnn.binary_file);
-  caffe('set_phase_test');
-  if opts.use_gpu
-    caffe('set_mode_gpu');
-  else
-    caffe('set_mode_cpu');
-  end
-end