test_data.py
6.37 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
__author__ = 'chunk'
from ..common import *
from ..mdata import ILSVRC, ILSVRC_S
from ..mmodel.svm import SVM2
def test_ILSVRC(category='Train_100'):
timer = Timer()
# dil = ILSVRC.DataILSVRC(base='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Train')
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=category,host='master')
# dil = ILSVRC.DataILSVRC(base='/media/chunk/Elements/D/data/ImageNet/img/ILSVRC2013_DET_val', category='Train_1')
print '[time]category:', category
timer.mark()
print '[time]formatting...'
dil.format()
timer.report()
timer.mark()
print '[time]embedding...'
dil.embed(rate=0.2)
timer.report()
timer.mark()
print '[time]extracting...'
dil.extract_feat(feattype='ibd')
timer.report()
# dil.extract_feat(feattype='hog')
timer.mark()
dil.store_img()
timer.report()
timer.mark()
dil.store_tag()
timer.report()
timer.mark()
dil.store_info()
timer.report()
timer.mark()
dil.store_feat()
timer.report()
def train_embed_and_feat_local(category='Train_100',feat_type = 'ibd'):
timer = Timer()
timer.mark()
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=category,host='master')
dil.delete_table()
dil.format()
dil.store_img()
timer.report()
dils = ILSVRC_S.DataILSVRC_S(base='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=category,host='master')
# dils._extract_data(mode='hbase', writeback=True)
# dils._embed_data(mode='hbase', rate=0.1, readforward=True, writeback=True)
# dils._extract_feat( mode='hbase', feattype='ibd', readforward=True, writeback=True)
dils._extract_data(mode='hbase', writeback=False)
dils._embed_data(mode='hbase', rate=0.1, readforward=False, writeback=False)
dils._extract_feat(mode='hbase', feattype=feat_type, readforward=False, writeback=True)
timer.report()
def train_embed_and_feat_spark(category='Train_100', feat_type = 'ibd'):
timer = Timer()
timer.mark()
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=categor,host='master')
dil.delete_table()
dil.format()
dil.store_img()
timer.report()
#return
dils = ILSVRC_S.DataILSVRC_S(base='ILSVRC2013_DET_val', category=category,host='master')
timer.mark()
dils._extract_data(mode='spark', writeback=False)
dils._embed_data(mode='spark', rate=0.2, readforward=False, writeback=False)
dils._extract_feat(mode='spark', feattype=feat_type, readforward=False, writeback=True,withdata=True)
timer.report()
def train_feat_label_spark(category='Train_100',label_file = '',feat_type = 'ibd'):
timer = Timer()
timer.mark()
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=category,host='master',label_file = label_file)
dil.delete_table()
dil.format()
dil.store_img()
dil.store_tag()
dil.store_info()
timer.report()
#return
dils = ILSVRC_S.DataILSVRC_S(base='ILSVRC2013_DET_val', category=category,host='master')
timer.mark()
dils._extract_feat_1(mode='spark', feattype=feat_type, readforward=True, writeback=True, withdata=False)
timer.report()
def train_new_model(table_name = '',model_path = 'res/svm_sklearn1.model', feat_type ='ibd'):
timer = Timer()
timer.mark()
dil = ILSVRC.DataILSVRC(tablename = table_name,host='master')
timer.mark()
X,Y = dil.load_data(mode='hbase', feattype= feat_type,tagtype = 'class')
classifer = SVM2.ModelSVM(toolset = 'sklearn')
classifer.train(X,Y,model_path)
timer.report()
def analysis_local_data_spark(category='Train_100', table_name='', model_path = 'res/svm_sklearn.model', feat_type = 'ibd'):
timer = Timer()
timer.mark()
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=category,host='master')
dil.delete_table()
dil.format()
dil.store_img()
dil.store_tag()
dil.store_info()
timer.report()
# return
dils = ILSVRC_S.DataILSVRC_S(base='ILSVRC2013_DET_val', category=category,host='master')
timer.mark()
dils._extract_data(mode='analysis', writeback=False,withdata = False)
timer.report()
timer.mark()
dils._analysis(mode='analysis', model_path = 'res/svm_sklearn.model', feattype='ibd', readforward=False, writeback=True, withdata=False)
timer.report()
def analysis_hbase_data_spark(table_name='MSPIDER', model_path = 'res/svm_sklearn.model',feat_type = 'ibd'):
timer = Timer()
# timer.mark()
# dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=category,host='master')
# dil.delete_table()
# # dil.format()
# dil.store_img()
# timer.report()
# # return
dils = ILSVRC_S.DataILSVRC_S(tablename=table_name,host='master')
timer.mark()
dils._extract_data(mode='analysis', writeback=False)
timer.report()
timer.mark()
dils._analysis(mode='analysis', model_path = model_path,feattype=feat_type, readforward=False, writeback=True, withdata=False)
timer.report()
def export_hbase_to_dir(type_name = 'tagged', table_name = 'MSPIDER',dst_dir = ''):
timer = Timer()
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', tablename = table_name,host='master')
dil.export_data(mode = 'hbase',tagtype='class',type_name = type_name, dst_dir = dst_dir)
timer.mark()
timer.report()
def test_ILSVRC_S():
# test_ILSVRC_S_LOCAL()
test_ILSVRC_S_SPARK()
def test_ILSVRC_IMPORT(category='Train_1000'):
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=category,host='master')
dil.delete_table()
# dil.format()
dil.store_img()
def test_ILSVRC_EXPORT(category='Train_1000'):
pass
def test_pipeline():
timer = Timer()
timer.mark()
dils = ILSVRC_S.DataILSVRC_S(base='MSPIDER', category=None)
dils._extract_data(mode='spark', writeback=False)
dils._embed_data(mode='spark', rate=0.1, readforward=False, writeback=False)
dils._extract_feat(mode='spark', feattype='ibd', readforward=False, writeback=True, withdata=True)
timer.report()
if __name__ == '__main__':
# test_MSR()
# test_CV()
# test_ILSVRC()
# test_ILSVRC_S()
test_pipeline()
print 'helllo'