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    Metadata details:
    filename: fast_rcnn_demo.m
    path of file: ./repos/refinenet/libs/matconvnet/examples/fast_rcnn
    
    the code of the file until where you have to start completion: function fast_rcnn_demo(varargin)
%FAST_RCNN_DEMO  Demonstrates Fast-RCNN
%
% Copyright (C) 2016 Abhishek Dutta and Hakan Bilen.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

run(fullfile(fileparts(mfilename('fullpath')), ...
  '..', '..', 'matlab', 'vl_setupnn.m')) ;

addpath(fullfile(vl_rootnn,'examples','fast_rcnn','bbox_functions')) ;

opts.modelPath = '' ;
opts.classes = {'car'} ;
opts.gpu = [] ;
opts.confThreshold = 0.5 ;
opts.nmsThreshold = 0.3 ;
opts = vl_argparse(opts, varargin) ;

% Load or download the Fast RCNN model
paths = {opts.modelPath, ...
         './fast-rcnn-vgg16-dagnn.mat', ...
         fullfile(vl_rootnn, 'data', 'models', 'fast-rcnn-vgg16-pascal07-dagnn.mat'), ...
         fullfile(vl_rootnn, 'data', 'models-import', 'fast-rcnn-vgg16-pascal07-dagnn.mat')} ;
ok = min(find(cellfun(@(x)exist(x,'file'), paths))) ;

if isempty(ok)
  fprintf('Downloading the Fast RCNN model ... this may take a while\n') ;
  opts.modelPath = fullfile(vl_rootnn, 'data', 'models', 'fast-rcnn-vgg16-pascal07-dagnn.mat') ;
  mkdir(fileparts(opts.modelPath)) ;
  urlwrite('http://www.vlfeat.org/matconvnet/models/fast-rcnn-vgg16-pascal07-dagnn.mat', ...

    
function fast_rcnn_demo(varargin)
%FAST_RCNN_DEMO  Demonstrates Fast-RCNN
%
% Copyright (C) 2016 Abhishek Dutta and Hakan Bilen.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

run(fullfile(fileparts(mfilename('fullpath')), ...
  '..', '..', 'matlab', 'vl_setupnn.m')) ;

addpath(fullfile(vl_rootnn,'examples','fast_rcnn','bbox_functions')) ;

opts.modelPath = '' ;
opts.classes = {'car'} ;
opts.gpu = [] ;
opts.confThreshold = 0.5 ;
opts.nmsThreshold = 0.3 ;
opts = vl_argparse(opts, varargin) ;

% Load or download the Fast RCNN model
paths = {opts.modelPath, ...
         './fast-rcnn-vgg16-dagnn.mat', ...
         fullfile(vl_rootnn, 'data', 'models', 'fast-rcnn-vgg16-pascal07-dagnn.mat'), ...
         fullfile(vl_rootnn, 'data', 'models-import', 'fast-rcnn-vgg16-pascal07-dagnn.mat')} ;
ok = min(find(cellfun(@(x)exist(x,'file'), paths))) ;

if isempty(ok)
  fprintf('Downloading the Fast RCNN model ... this may take a while\n') ;
  opts.modelPath = fullfile(vl_rootnn, 'data', 'models', 'fast-rcnn-vgg16-pascal07-dagnn.mat') ;
  mkdir(fileparts(opts.modelPath)) ;
  urlwrite('http://www.vlfeat.org/matconvnet/models/fast-rcnn-vgg16-pascal07-dagnn.mat', ...
           opts.modelPath) ;
else
  opts.modelPath = paths{ok} ;
end