https://github.com/bartoszzielinski/deep-fbanks
Revision 7b91f2919d63064cad53cf733f334d9de5c08bc9 authored by Bartosz Zieliński on 22 January 2018, 15:40:09 UTC, committed by Bartosz Zieliński on 22 January 2018, 15:40:09 UTC
1 parent 7520cd0
Tip revision: 7b91f2919d63064cad53cf733f334d9de5c08bc9 authored by Bartosz Zieliński on 22 January 2018, 15:40:09 UTC
Why should I trust you analysis
Why should I trust you analysis
Tip revision: 7b91f29
run_experiments.m
function run_experiments()
% export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6:/usr/lib/x86_64-linux-gnu/libprotobuf.so.9
setup;
if ismac
dataDir = '../../BigData/bacteria/';
else
dataDir = '/media/bz/C4048A7D048A71EA/BigData/bacteria/';
end
path_model_vgg_m = [dataDir, 'data/models/imagenet-vgg-m.mat'];
path_model_vgg_vd = [dataDir, 'data/models/imagenet-vgg-verydeep-19-OLD.mat'];
path_model_alexnet = [dataDir, 'data/models/imagenet-caffe-alex.mat'];
% RCNN (FC-CNN) flavors
rcnn.name = 'rcnn' ;
rcnn.opts = {...
'type', 'rcnn', ...
'model', path_model_vgg_m, ...
'layer', 19} ;
rcnnalx.name = 'rcnnalx' ;
rcnnalx.opts = {...
'type', 'rcnn', ...
'model', path_model_alexnet, ...
'layer', 19} ;
rcnnvd.name = 'rcnnvd' ;
rcnnvd.opts = {...
'type', 'rcnn', ...
'model', path_model_vgg_vd, ...
'layer', 41} ;
dcnnalx.name = 'dcnnalxfv' ;
dcnnalx.opts = {...
'type', 'dcnn', ...
'model', path_model_alexnet, ...
'layer', 13, ...
'numWords', 64, ...
'encoderType', 'fv'};
dcnn.name = 'dcnnfv' ;
dcnn.opts = {...
'type', 'dcnn', ...
'model', path_model_vgg_m, ...
'layer', 13, ...
'numWords', 64, ...
'encoderType', 'fv'};
dcnnbovw.name = 'dcnnbovw' ;
dcnnbovw.opts = {...
'type', 'dcnn', ...
'model', path_model_vgg_m, ...
'layer', 13, ...
'numWords', 4096, ...
'encoderType', 'bovw'} ;
dcnnvlad.name = 'dcnnvlad' ;
dcnnvlad.opts = {...
'type', 'dcnn', ...
'model', path_model_vgg_m, ...
'layer', 13, ...
'numWords', 64, ...
'encoderType', 'vlad'} ;
dcnnvd.name = 'dcnnvdfv' ;
dcnnvd.opts = {...
'type', 'dcnn', ...
'model', path_model_vgg_vd, ...
'layer', 35, ...
'numWords', 64, ...
'encoderType', 'fv'} ;
dsift.name = 'dsift' ;
dsift.opts = {...
'type', 'dsift', ...
'numWords', 256, ...
'numPcaDimensions', 80} ;
% Set of experiments to run
%{
setupNameList = {'dsift', ...
'rcnn', 'dcnn', 'rdcnn', 'srdcnn', ...
'rcnnalx', 'dcnnalx', 'rdcnnalx', 'srdcnnalx', ...
'rcnnvd', 'dcnnvd', 'rdcnnvd', 'srdcnnvd'} ;
encoderList = {{dsift}, ...
{rcnn}, {dcnn}, {rcnn dcnn}, {rcnn dcnn dsift}, ...
{rcnnalx}, {dcnnalx}, {rcnnalx dcnnalx}, {rcnnalx dcnnalx dsift}, ...
{rcnnvd}, {dcnnvd}, {rcnnvd dcnnvd}, {rcnnvd dcnnvd dsift}} ;
%}
setupNameList = {'dsift', 'dcnn'};
encoderList = {{dsift}, {dcnn}};
datasetList = {{'bacteriaTrust', 1}} ;
%datasetList = {{'bacteriaGray', 5}, {'bacteriaGray5', 5}, {'bacteriaGray3', 5}} ;
classifiers = {''} ;
for ii = 1 : numel(datasetList)
dataset = datasetList{ii} ;
if iscell(dataset)
numSplits = dataset{2} ;
dataset = dataset{1} ;
else
numSplits = 1 ;
end
for classifierIndex = 1 : numel(classifiers)
for seedIndex = 1 : numSplits
for ee = 1 : numel(encoderList)
os_train(...
'dataset', dataset, ...
'seed', seedIndex, ...
'encoders', encoderList{ee}, ...
'prefix', 'exp01', ...
'suffix', setupNameList{ee}, ...
'printDatasetInfo', ee == 1, ...
'writeResults', true, ...
'vocDir', [dataDir, 'data/VOC2007'], ...
'useGpu', false, ...
'gpuId', 1, ...
'classifier', classifiers{classifierIndex});
end
end
end
end
end
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