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rcnn_load_model.m
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rcnn_load_model.m
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function rcnn_model = rcnn_load_model(rcnn_model_or_file, use_gpu)
% rcnn_model = rcnn_load_model(rcnn_model_or_file, use_gpu)
% Takes an rcnn_model structure and loads the associated Caffe
% CNN into memory. Since this is nasty global state that is carried
% around, a randomly generated 'key' (or handle) is returned.
% Before making calls to caffe it's a good idea to check that
% rcnn_model.cnn.key is the same as caffe('get_init_key').
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
if isstr(rcnn_model_or_file)
assert(exist(rcnn_model_or_file, 'file') ~= 0);
ld = load(rcnn_model_or_file);
rcnn_model = ld.rcnn_model; clear ld;
else
rcnn_model = rcnn_model_or_file;
end
% rcnn_model.cnn.init_key = ...
% caffe('init', rcnn_model.cnn.definition_file, rcnn_model.cnn.binary_file);
rcnn_model.cnn.model = caffe.Net(rcnn_model.cnn.definition_file, rcnn_model.cnn.binary_file, 'test');
if exist('use_gpu', 'var') && ~use_gpu
caffe.set_mode_cpu();
else
caffe.set_mode_gpu();
caffe.set_device(0);
end
% caffe('set_phase_test');
% rcnn_model.cnn.layers = caffe('get_weights');
rcnn_model.cnn.layers = rcnn_model.cnn.model.params('conv5',1).get_data();