51708346
 Chunk
final experiments...
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0x02 Performance
(1)file sum = 100
serial:
(format)time elapsed: 0.583396s
(embed)time elapsed: 30.847788s
(extract)time elapsed: 57.884814s
spark happybase:
(read table)time elapsed: 1.471087s
(process)time elapsed: 29.364628s
(write table)time elapsed: 9.114235s
spark happybase compressed:
(read table)time elapsed: 1.449816s
(process)time elapsed: 27.079774s
(write table)time elapsed: 8.836868s
spark distributed:
(process)time elapsed: 49.995647s
spark distributed compressed:
(process)time elapsed: 55.280739s
(2)file sum = 200
serial:
(format)time elapsed: 1.147411s
(embed)time elapsed: 62.815709s
(extract)time elapsed: 118.217859s
spark happybase:
(read table)time elapsed: 3.008692s
(process)time elapsed: 37.920278s
(write table)time elapsed: 19.589578s
spark happybase compressed:
(read table)time elapsed: 2.948173s
(process)time elapsed: 38.491461s
(write table)time elapsed: 19.783102s
spark distributed:
(process)time elapsed: 76.258928s
spark distributed compressed:
(process)time elapsed: 83.836657s
(3)file sum = 500
serial:
(format)time elapsed: 2.763806s
(embed)time elapsed: 162.806317s
(extract)time elapsed: 299.778606s
spark happybase:
(read table)time elapsed: 6.817050s
(process)time elapsed: 88.291989s
(write table)time elapsed: 73.446282s
spark happybase compressed:
(read table)time elapsed: 6.949767s
(process)time elapsed: 88.241193s
(write table)time elapsed: 57.661072s
spark distributed:
(process)time elapsed: 177.039349s
spark distributed compressed:
(process)time elapsed: 143.524813s
(4)file sum = 1000
serial:
(format)time elapsed: 6.372794s
(embed)time elapsed: 329.023151s
(extract)time elapsed: 600.438977s
spark happybase:
(read table)time elapsed: 15.644418s
(process)time elapsed: 159.951099s
(write table)time elapsed: 186.335413s
spark happybase compressed:
(read table)time elapsed: 10.591560s
(process)time elapsed: 158.694248s
(write table)time elapsed: 161.767895s
spark distributed:
(process)time elapsed: 467.126756s
spark distributed compressed:
(process)time elapsed: 315.578952s
(5)file sum = 2000
serial:
(format)time elapsed: 14.960961s
(embed)time elapsed: 679.357936s
(extract)time elapsed: 1256.341536s
spark happybase:
(read table)time elapsed: 31.699596s
(process)time elapsed: 313.154748s
(write table)time elapsed: 387.063702s
spark happybase compressed:
(read table)time elapsed: 30.227347s
(process)time elapsed: 313.085707s
(write table)time elapsed: 360.762862s
spark distributed:
(process)time elapsed: 802.138669s
spark distributed compressed:
(process)time elapsed: 734.133909s
(6)file sum = 5000
serial:
(format)time elapsed: 39.880657s
(embed)time elapsed: 1652.537536s
(extract)time elapsed: 3067.980390s
spark happybase:
(read table)time elapsed: 73.070203s
(process)time elapsed: 694.454719s
(write table)time elapsed: 898.458633s
spark happybase compressed:
(read table)time elapsed: 65.254218s
(process)time elapsed: 717.603061 s
(write table)time elapsed: 833.214014s
spark distributed:
(process)time elapsed: 1860.610954s
spark distributed compressed:
(process)time elapsed: 1677.044038s
0x03 training performance
embed rate = 0.2, F5(k=1)
test_size : 0.4
(1)data size = 2000
sklearn:
(train)time elapsed: 0.596740s
(test)time elapsed: 0.240658s
accuracy: (0.053, 0.9714434060228453, 0.95899133978604179)
libsvm:
(train)time elapsed: 2.936864s
(test)time elapsed: 0.497595s
accuracy: (95.89913397860418, 0.04100866021395823, 0.8432814964024421)
opencv:
(train)time elapsed: 4.166550s
(test)time elapsed: 0.114133s
(2)data size = 4000
sklearn:
(train)time elapsed: 1.929259s
(test)time elapsed: 0.953919s
libsvm:
(train)time elapsed: 12.814600s
(test)time elapsed: 1.902628s
opencv:
(train)time elapsed: 6.986697s
(test)time elapsed: 0.169895s
(3)data size = 10000
sklearn:
(train)time elapsed: 11.268877s
(test)time elapsed: 5.840925s
libsvm:
(train)time elapsed: 85.663243s
(test)time elapsed: 4.935881s
opencv:
(train)time elapsed: 10.817804s
(test)time elapsed: 0.415325s
spark MLlib 100 iters):
(train)time elapsed: 102.71s
(test)time elapsed: 1.398681s
0x04 detecting performance
online: 110p/min
(1)data size = 1000
offline:
(read&detect&write)time elapsed: 176.679302s
(2)data size = 2000
offline:
(read&detect&write)time elapsed: 333.238773s
(3)data size = 5000
offline:
(read&detect&write)time elapsed: 749.348792s
0x03 MPB accuracy
sklearn (svm.SVC(C=4, kernel='linear', shrinking=False))
(FP,TP,AR)
(1)data size = 2000
F5 1 0.2 (0.07506053268765134, 0.9662618083670715, 0.94447989789406506)
F5 1 0.1 (0.168141592920354, 0.7255154639175257, 0.77919591576260372)
F5 1 0.05 (0.28846153846153844, 0.3760217983651226, 0.55427841634738184)
F5 2 0.2 (0.06892382103990327, 0.9702702702702702, 0.94958519463943847)
F5 2 0.1 (0.10709677419354839, 0.8042929292929293, 0.8481174218251436)
F5 2 0.05 (0.12626262626262627, 0.3152454780361757, 0.5977011494252874)
(2)data size = 4000
F5 1 0.2 (0.07142857142857142, 0.9820971867007673, 0.95530012771392081)
F5 1 0.1 (0.16876574307304787, 0.7927461139896373, 0.8122605363984674)
F5 1 0.05 (0.2661782661782662, 0.4625668449197861, 0.60433950223356736)
F5 2 0.2 (0.06234413965087282, 0.9790575916230366, 0.95785440613026818)
F5 2 0.1 (0.09535452322738386, 0.8048128342245989, 0.85696040868454659)
F5 2 0.05 (0.1964512040557668, 0.42287917737789205, 0.61455009572431396)
(3)data size = 10000
F5 1 0.2 (0.05196770938446014, 0.970679012345679, 0.95924605196128376)
F5 1 0.1 (0.13636363636363635, 0.8643451143451143, 0.86398369842078448)
F5 1 0.05 (0.2801400700350175, 0.5962636222106902, 0.65919510952623539)
F5 2 0.2 (0.03944083874188717, 0.9776391055642226, 0.96892511462047881)
F5 2 0.1 (0.09855649576903933, 0.9181011997913406, 0.9095771777890983)
F5 2 0.05 (0.23769269020387868, 0.7289817232375979, 0.7460519612837494)
0x03 Gets accuracy
params = {
dataset size:10000
crop:200*200
test_interval: 200
base_lr: 0.001
momentum: 0.9
weight_decay: 0.0005
gamma: 0.0001
power: 0.75
batch_size: 200
scale: 1.0
feature map:10,20
conv filter:3-1,8-4
pool:2*2,2*2
activation function:ReLU
solver_mode: GPU
}
(1)embed rate = 0.05
F5(1) J(1) iters:10000 0.6811 1.42341
F5(1) J(2) iters:10000 0.7096 1.58573
F5(2) J(1) iters:10000 0.7408 0.867403
F5(2) J(2) iters:10000 0.6077 2.1331
(2)embed rate = 0.1
F5(1) J(1) iters:10000 0.8172 0.827023
F5(1) J(2) iters:10000 0.8396 0.65971
F5(2) J(1) iters:10000 0.9166 0.234032
F5(2) J(2) iters:10000 0.7919 0.99669
(3)embed rate = 0.2
F5(1) J(1) iters:10000 0.9426 0.164854
F5(1) J(2) iters:10000 0.9591 0.103902
F5(2) J(1) iters:10000 0.9852 0.0592344
F5(2) J(2) iters:10000 0.9629 0.106968
0x04 Environment
A: CPU : Intel(R) Core(TM) i7-4820K CPU @ 3.70GHz
Memory : 16GB
OS : CentOS release 6.6 (Final)
Kernel : Linux 2.6.32-504.el6.x86_64
B: CPU : Intel(R) Core(TM) i3-2100 CPU @ 3.10GHz
Memory : 16GB
OS : Scientific Linux release 6.6 (Carbon)
Kernel : Linux 2.6.32-504.1.3.el6.x86_64
C: CPU : Intel(R) Core(TM) i5 CPU 750 @ 2.67GHz
Memory : 10GB
OS : CentOS release 6.6 (Final)
Kernel : Linux 2.6.32-71.el6.x86_64
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