You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: ZF_for_Faster_RCNN_VOC2007.m
    path of file: ./repos/faster_rcnn/experiments/+Model
    
    the code of the file until where you have to start completion: function model = ZF_for_Faster_RCNN_VOC2007(model)

    
function model = ZF_for_Faster_RCNN_VOC2007(model)

model.mean_image                                = fullfile(pwd, 'models', 'pre_trained_models', 'ZF', 'mean_image');
model.pre_trained_net_file                      = fullfile(pwd, 'models', 'pre_trained_models', 'ZF', 'ZF.caffemodel');
% Stride in input image pixels at the last conv layer
model.feat_stride                               = 16;

%% stage 1 rpn, inited from pre-trained network
model.stage1_rpn.solver_def_file                = fullfile(pwd, 'models', 'rpn_prototxts', 'ZF', 'solver_60k80k.prototxt');
model.stage1_rpn.test_net_def_file              = fullfile(pwd, 'models', 'rpn_prototxts', 'ZF', 'test.prototxt');
model.stage1_rpn.init_net_file                  = model.pre_trained_net_file;

% rpn test setting
model.stage1_rpn.nms.per_nms_topN              	= -1;
model.stage1_rpn.nms.nms_overlap_thres        	= 0.7;
model.stage1_rpn.nms.after_nms_topN           	= 2000;

%% stage 1 fast rcnn, inited from pre-trained network
model.stage1_fast_rcnn.solver_def_file          = fullfile(pwd, 'models', 'fast_rcnn_prototxts', 'ZF', 'solver_30k40k.prototxt');
model.stage1_fast_rcnn.test_net_def_file        = fullfile(pwd, 'models', 'fast_rcnn_prototxts', 'ZF', 'test.prototxt');
model.stage1_fast_rcnn.init_net_file            = model.pre_trained_net_file;

%% stage 2 rpn, only finetune fc layers
model.stage2_rpn.solver_def_file                = fullfile(pwd, 'models', 'rpn_prototxts', 'ZF_fc6', 'solver_60k80k.prototxt');
model.stage2_rpn.test_net_def_file              = fullfile(pwd, 'models', 'rpn_prototxts', 'ZF_fc6', 'test.prototxt');

% rpn test setting
model.stage2_rpn.nms.per_nms_topN             	= -1;
model.stage2_rpn.nms.nms_overlap_thres       	= 0.7;
model.stage2_rpn.nms.after_nms_topN           	= 2000;

%% stage 2 fast rcnn, only finetune fc layers
model.stage2_fast_rcnn.solver_def_file          = fullfile(pwd, 'models', 'fast_rcnn_prototxts', 'ZF_fc6', 'solver_30k40k.prototxt');
model.stage2_fast_rcnn.test_net_def_file        = fullfile(pwd, 'models', 'fast_rcnn_prototxts', 'ZF_fc6', 'test.prototxt');

%% final test
model.final_test.nms.per_nms_topN            	= 6000; % to speed up nms
model.final_test.nms.nms_overlap_thres       	= 0.7;
model.final_test.nms.after_nms_topN          	= 300;
end