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standard_0.2.2_EasyOcrEngine

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add model

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Files changed (3) hide show
  1. log_train.txt +198 -0
  2. opt.txt +46 -0
  3. weights.pth +3 -0
log_train.txt ADDED
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+ [10000/600000] Train loss: 0.00013, Valid loss: 0.02668, Elapsed_time: 1182.74204
2
+ Current_accuracy : 98.885, Current_norm_ED : 0.9964
3
+ Best_accuracy : 98.885, Best_norm_ED : 0.9964
4
+ --------------------------------------------------------------------------------
5
+ Ground Truth | Prediction | Confidence Score & T/F
6
+ --------------------------------------------------------------------------------
7
+ DPH | DPH | 0.7733 True
8
+ Brzobohatý | Brzobohatý | 0.9511 True
9
+ --------------------------------------------------------------------------------
10
+ [20000/600000] Train loss: 0.00010, Valid loss: 0.03090, Elapsed_time: 3317.90422
11
+ Current_accuracy : 98.812, Current_norm_ED : 0.9961
12
+ Best_accuracy : 98.885, Best_norm_ED : 0.9964
13
+ --------------------------------------------------------------------------------
14
+ Ground Truth | Prediction | Confidence Score & T/F
15
+ --------------------------------------------------------------------------------
16
+ 11.09.2014 | 11.09.2014 | 0.4928 True
17
+ Repablic, | Repabl | 0.9941 False
18
+ --------------------------------------------------------------------------------
19
+ [30000/600000] Train loss: 0.00009, Valid loss: 0.02857, Elapsed_time: 5415.99760
20
+ Current_accuracy : 98.861, Current_norm_ED : 0.9965
21
+ Best_accuracy : 98.885, Best_norm_ED : 0.9965
22
+ --------------------------------------------------------------------------------
23
+ Ground Truth | Prediction | Confidence Score & T/F
24
+ --------------------------------------------------------------------------------
25
+ +420 | +420 | 0.5632 True
26
+ systémom | systémom | 0.9998 True
27
+ --------------------------------------------------------------------------------
28
+ [40000/600000] Train loss: 0.00005, Valid loss: 0.02820, Elapsed_time: 7492.65551
29
+ Current_accuracy : 98.877, Current_norm_ED : 0.9965
30
+ Best_accuracy : 98.885, Best_norm_ED : 0.9965
31
+ --------------------------------------------------------------------------------
32
+ Ground Truth | Prediction | Confidence Score & T/F
33
+ --------------------------------------------------------------------------------
34
+ mieru | mieru | 0.7051 True
35
+ ks | ks | 0.9998 True
36
+ --------------------------------------------------------------------------------
37
+ [50000/600000] Train loss: 0.00004, Valid loss: 0.02849, Elapsed_time: 9607.50675
38
+ Current_accuracy : 98.889, Current_norm_ED : 0.9966
39
+ Best_accuracy : 98.889, Best_norm_ED : 0.9966
40
+ --------------------------------------------------------------------------------
41
+ Ground Truth | Prediction | Confidence Score & T/F
42
+ --------------------------------------------------------------------------------
43
+ Marienloher | Marienloher | 0.9984 True
44
+ e-shopy | e-shopy | 0.9997 True
45
+ --------------------------------------------------------------------------------
46
+ [60000/600000] Train loss: 0.00014, Valid loss: 0.02656, Elapsed_time: 11741.39700
47
+ Current_accuracy : 98.878, Current_norm_ED : 0.9965
48
+ Best_accuracy : 98.889, Best_norm_ED : 0.9966
49
+ --------------------------------------------------------------------------------
50
+ Ground Truth | Prediction | Confidence Score & T/F
51
+ --------------------------------------------------------------------------------
52
+ 1/19 | 1/19 | 0.9621 True
53
+ Magdalena | Magdalena | 0.9987 True
54
+ --------------------------------------------------------------------------------
55
+ [70000/600000] Train loss: 0.00004, Valid loss: 0.02820, Elapsed_time: 13946.53728
56
+ Current_accuracy : 98.878, Current_norm_ED : 0.9965
57
+ Best_accuracy : 98.889, Best_norm_ED : 0.9966
58
+ --------------------------------------------------------------------------------
59
+ Ground Truth | Prediction | Confidence Score & T/F
60
+ --------------------------------------------------------------------------------
61
+ VtZ | VtZ | 0.6862 True
62
+ 20% | 20% | 0.9362 True
63
+ --------------------------------------------------------------------------------
64
+ [80000/600000] Train loss: 0.00002, Valid loss: 0.02772, Elapsed_time: 16144.25462
65
+ Current_accuracy : 98.865, Current_norm_ED : 0.9965
66
+ Best_accuracy : 98.889, Best_norm_ED : 0.9966
67
+ --------------------------------------------------------------------------------
68
+ Ground Truth | Prediction | Confidence Score & T/F
69
+ --------------------------------------------------------------------------------
70
+ ks | ks | 0.9997 True
71
+ Popis | Popis | 0.8870 True
72
+ --------------------------------------------------------------------------------
73
+ [90000/600000] Train loss: 0.00002, Valid loss: 0.02819, Elapsed_time: 18321.24083
74
+ Current_accuracy : 98.850, Current_norm_ED : 0.9964
75
+ Best_accuracy : 98.889, Best_norm_ED : 0.9966
76
+ --------------------------------------------------------------------------------
77
+ Ground Truth | Prediction | Confidence Score & T/F
78
+ --------------------------------------------------------------------------------
79
+ 4,7900 | 4,7900 | 0.8148 True
80
+ 07.03.2017 | 07.03.2017 | 0.9939 True
81
+ --------------------------------------------------------------------------------
82
+ [100000/600000] Train loss: 0.00005, Valid loss: 0.03023, Elapsed_time: 20504.32582
83
+ Current_accuracy : 98.923, Current_norm_ED : 0.9967
84
+ Best_accuracy : 98.923, Best_norm_ED : 0.9967
85
+ --------------------------------------------------------------------------------
86
+ Ground Truth | Prediction | Confidence Score & T/F
87
+ --------------------------------------------------------------------------------
88
+ 0% | 0% | 1.0000 True
89
+ ks | ks | 0.9993 True
90
+ --------------------------------------------------------------------------------
91
+ [110000/600000] Train loss: 0.00001, Valid loss: 0.03090, Elapsed_time: 22644.60142
92
+ Current_accuracy : 98.924, Current_norm_ED : 0.9966
93
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
94
+ --------------------------------------------------------------------------------
95
+ Ground Truth | Prediction | Confidence Score & T/F
96
+ --------------------------------------------------------------------------------
97
+ 21, | 21, | 1.0000 True
98
+ kifizetéshez | kifizetéshez | 0.9635 True
99
+ --------------------------------------------------------------------------------
100
+ [120000/600000] Train loss: 0.00002, Valid loss: 0.03099, Elapsed_time: 24836.55918
101
+ Current_accuracy : 98.880, Current_norm_ED : 0.9964
102
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
103
+ --------------------------------------------------------------------------------
104
+ Ground Truth | Prediction | Confidence Score & T/F
105
+ --------------------------------------------------------------------------------
106
+ CZ50359476 | CZ50359476 | 0.9879 True
107
+ su | su | 1.0000 True
108
+ --------------------------------------------------------------------------------
109
+ [130000/600000] Train loss: 0.00001, Valid loss: 0.02965, Elapsed_time: 27015.41863
110
+ Current_accuracy : 98.906, Current_norm_ED : 0.9965
111
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
112
+ --------------------------------------------------------------------------------
113
+ Ground Truth | Prediction | Confidence Score & T/F
114
+ --------------------------------------------------------------------------------
115
+ MEBR, | MEBR, | 0.9800 True
116
+ systémom | systémom | 0.9659 True
117
+ --------------------------------------------------------------------------------
118
+ [140000/600000] Train loss: 0.00002, Valid loss: 0.02901, Elapsed_time: 29187.46824
119
+ Current_accuracy : 98.910, Current_norm_ED : 0.9966
120
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
121
+ --------------------------------------------------------------------------------
122
+ Ground Truth | Prediction | Confidence Score & T/F
123
+ --------------------------------------------------------------------------------
124
+ Bruttó | Bruttó | 0.9133 True
125
+ 3674556006 | 3674556006 | 0.8864 True
126
+ --------------------------------------------------------------------------------
127
+ [150000/600000] Train loss: 0.00000, Valid loss: 0.03044, Elapsed_time: 31361.23967
128
+ Current_accuracy : 98.906, Current_norm_ED : 0.9965
129
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
130
+ --------------------------------------------------------------------------------
131
+ Ground Truth | Prediction | Confidence Score & T/F
132
+ --------------------------------------------------------------------------------
133
+ dle | dle | 0.9995 True
134
+ a. | a. | 0.9021 True
135
+ --------------------------------------------------------------------------------
136
+ [160000/600000] Train loss: 0.00001, Valid loss: 0.02916, Elapsed_time: 33517.03673
137
+ Current_accuracy : 98.904, Current_norm_ED : 0.9967
138
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
139
+ --------------------------------------------------------------------------------
140
+ Ground Truth | Prediction | Confidence Score & T/F
141
+ --------------------------------------------------------------------------------
142
+ - | - | 0.9987 True
143
+ Variabilní | Variabilní | 0.9768 True
144
+ --------------------------------------------------------------------------------
145
+ [170000/600000] Train loss: 0.00001, Valid loss: 0.02863, Elapsed_time: 35692.03879
146
+ Current_accuracy : 98.924, Current_norm_ED : 0.9966
147
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
148
+ --------------------------------------------------------------------------------
149
+ Ground Truth | Prediction | Confidence Score & T/F
150
+ --------------------------------------------------------------------------------
151
+ 1/19 | 1/19 | 0.9522 True
152
+ 290,00 | 290,00 | 0.9056 True
153
+ --------------------------------------------------------------------------------
154
+ [180000/600000] Train loss: 0.00000, Valid loss: 0.02965, Elapsed_time: 37855.54278
155
+ Current_accuracy : 98.897, Current_norm_ED : 0.9965
156
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
157
+ --------------------------------------------------------------------------------
158
+ Ground Truth | Prediction | Confidence Score & T/F
159
+ --------------------------------------------------------------------------------
160
+ CZ89 1339 0000 0096 8323 9123 | CZ89 1339 0000 0096 8323 9123 | 0.5330 True
161
+ FAKTURA | FAKTURA | 0.9281 True
162
+ --------------------------------------------------------------------------------
163
+ [190000/600000] Train loss: 0.00000, Valid loss: 0.02984, Elapsed_time: 40018.55844
164
+ Current_accuracy : 98.924, Current_norm_ED : 0.9966
165
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
166
+ --------------------------------------------------------------------------------
167
+ Ground Truth | Prediction | Confidence Score & T/F
168
+ --------------------------------------------------------------------------------
169
+ 1,88 | 1,88 | 0.9995 True
170
+ č.1201700086 | č.1201700086 | 0.9963 True
171
+ --------------------------------------------------------------------------------
172
+ [200000/600000] Train loss: 0.00000, Valid loss: 0.03088, Elapsed_time: 42135.11022
173
+ Current_accuracy : 98.906, Current_norm_ED : 0.9965
174
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
175
+ --------------------------------------------------------------------------------
176
+ Ground Truth | Prediction | Confidence Score & T/F
177
+ --------------------------------------------------------------------------------
178
+ 20.06.2014 | 20.06.2014 | 0.4149 True
179
+ 0008 | 0008 | 0.9781 True
180
+ --------------------------------------------------------------------------------
181
+ [210000/600000] Train loss: 0.00000, Valid loss: 0.03055, Elapsed_time: 44298.50288
182
+ Current_accuracy : 98.907, Current_norm_ED : 0.9965
183
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
184
+ --------------------------------------------------------------------------------
185
+ Ground Truth | Prediction | Confidence Score & T/F
186
+ --------------------------------------------------------------------------------
187
+ ks | ks | 0.9977 True
188
+ 20% | 20% | 0.9954 True
189
+ --------------------------------------------------------------------------------
190
+ [220000/600000] Train loss: 0.00000, Valid loss: 0.03005, Elapsed_time: 46481.53236
191
+ Current_accuracy : 98.902, Current_norm_ED : 0.9965
192
+ Best_accuracy : 98.924, Best_norm_ED : 0.9967
193
+ --------------------------------------------------------------------------------
194
+ Ground Truth | Prediction | Confidence Score & T/F
195
+ --------------------------------------------------------------------------------
196
+ 2,39 | 2,39 | 0.7849 True
197
+ 31.7.2015 | 31.7.2015 | 0.9620 True
198
+ --------------------------------------------------------------------------------
opt.txt ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ------------ Options -------------
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+ number:
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+ symbol:
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+ lang_char: !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ªÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõöøùúûüýþÿĀāĂ㥹ĆćČčĎďĐđĒēĖėĘęĚěĞğĨĩĪīĮįİıĶķĹĺĻļĽľŁłŃńŅņŇňŒœŔŕŘřŚśŞşŠšŤťŨũŪūŮůŲųŸŹźŻżŽžƏƠơƯưȘșȚțə̇ḌḍḶḷṀṁṂṃṄṅṆṇṬṭẠạẢảẤấẦầẨẩẪẫẬậẮắẰằẲẳẴẵẶặẸẹẺẻẼẽẾếỀềỂểỄễỆệỈỉỊịỌọỎỏỐốỒồỔổỖỗỘộỚớỜờỞởỠỡỢợỤụỦủỨứỪừỬửỮữỰựỲỳỴỵỶỷỸỹ€
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+ experiment_name: continued_experiment
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+ train_data: all_data
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+ valid_data: all_data/valid
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+ manualSeed: 1111
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+ workers: 6
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+ batch_size: 32
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+ num_iter: 600000
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+ valInterval: 10000
13
+ saved_model: saved_models/extended_dataset/best_accuracy.pth
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+ FT: False
15
+ optim: Adam
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+ lr: 1.0
17
+ beta1: 0.9
18
+ rho: 0.95
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+ eps: 1e-08
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+ grad_clip: 5
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+ select_data: ['train']
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+ batch_ratio: ['1']
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+ total_data_usage_ratio: 1.0
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+ batch_max_length: 34
25
+ imgH: 64
26
+ imgW: 600
27
+ rgb: False
28
+ contrast_adjust: 0.0
29
+ sensitive: True
30
+ PAD: True
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+ data_filtering_off: False
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+ Transformation: None
33
+ FeatureExtraction: VGG
34
+ SequenceModeling: BiLSTM
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+ Prediction: CTC
36
+ num_fiducial: 20
37
+ input_channel: 1
38
+ output_channel: 256
39
+ hidden_size: 256
40
+ decode: greedy
41
+ new_prediction: False
42
+ freeze_FeatureFxtraction: False
43
+ freeze_SequenceModeling: False
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+ character: !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ªÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõöøùúûüýþÿĀāĂ㥹ĆćČčĎďĐđĒēĖėĘęĚěĞğĨĩĪīĮįİıĶķĹĺĻļĽľŁłŃńŅņŇňŒœŔŕŘřŚśŞşŠšŤťŨũŪūŮůŲųŸŹźŻżŽžƏƠơƯưȘșȚțə̇ḌḍḶḷṀṁṂṃṄṅṆṇṬṭẠạẢảẤấẦầẨẩẪẫẬậẮắẰằẲẳẴẵẶặẸẹẺẻẼẽẾếỀềỂểỄễỆệỈỉỊịỌọỎỏỐốỒồỔổỖỗỘộỚớỜờỞởỠỡỢợỤụỦủỨứỪừỬửỮữỰựỲỳỴỵỶỷỸỹ€
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+ num_class: 352
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+ ---------------------------------------
weights.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:046a8cca01e67fba0c9abfaedd5d8acfec5f85d960a6df33e7b98fdc6b5cbc7a
3
+ size 15404555