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standard_0.2.1_EasyOcrEngine

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add model

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  1. log_train.txt +72 -0
  2. opt.txt +46 -0
  3. weights.pth +3 -0
log_train.txt ADDED
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+ [10000/100000] Train loss: 0.00977, Valid loss: 0.02701, Elapsed_time: 1183.17881
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+ Current_accuracy : 98.435, Current_norm_ED : 0.9948
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+ Best_accuracy : 98.435, Best_norm_ED : 0.9948
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+ --------------------------------------------------------------------------------
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+ Ground Truth | Prediction | Confidence Score & T/F
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+ --------------------------------------------------------------------------------
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+ AG | AG | 0.9997 True
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+ - | - | 0.9941 True
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+ --------------------------------------------------------------------------------
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+ [20000/100000] Train loss: 0.00413, Valid loss: 0.02341, Elapsed_time: 3572.28949
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+ Current_accuracy : 98.625, Current_norm_ED : 0.9958
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+ Best_accuracy : 98.625, Best_norm_ED : 0.9958
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+ --------------------------------------------------------------------------------
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+ Ground Truth | Prediction | Confidence Score & T/F
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+ --------------------------------------------------------------------------------
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+ číslo účtu | číslo účtu | 0.7434 True
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+ Mgug | Mgug | 0.9971 True
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+ --------------------------------------------------------------------------------
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+ [30000/100000] Train loss: 0.00255, Valid loss: 0.02955, Elapsed_time: 5857.75674
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+ Current_accuracy : 98.648, Current_norm_ED : 0.9957
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+ Best_accuracy : 98.648, Best_norm_ED : 0.9958
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+ --------------------------------------------------------------------------------
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+ Ground Truth | Prediction | Confidence Score & T/F
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+ --------------------------------------------------------------------------------
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+ 23.03.2015 | 23.03.2015 | 0.9311 True
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+ 17,05 | 17,05 | 0.2697 True
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+ --------------------------------------------------------------------------------
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+ [40000/100000] Train loss: 0.00133, Valid loss: 0.02647, Elapsed_time: 8329.73750
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+ Current_accuracy : 98.750, Current_norm_ED : 0.9961
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+ Best_accuracy : 98.750, Best_norm_ED : 0.9961
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+ --------------------------------------------------------------------------------
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+ Ground Truth | Prediction | Confidence Score & T/F
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+ --------------------------------------------------------------------------------
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+ 20% | 20% | 0.9784 True
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+ DPH | DPH | 0.4893 True
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+ --------------------------------------------------------------------------------
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+ [50000/100000] Train loss: 0.00101, Valid loss: 0.02697, Elapsed_time: 11029.32858
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+ Current_accuracy : 98.784, Current_norm_ED : 0.9962
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+ Best_accuracy : 98.784, Best_norm_ED : 0.9962
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+ --------------------------------------------------------------------------------
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+ Ground Truth | Prediction | Confidence Score & T/F
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+ --------------------------------------------------------------------------------
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+ s.r.o. | s.r.o. | 0.6294 True
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+ ex | ev | 0.9961 False
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+ --------------------------------------------------------------------------------
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+ [60000/100000] Train loss: 0.00081, Valid loss: 0.02747, Elapsed_time: 13747.31382
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+ Current_accuracy : 98.760, Current_norm_ED : 0.9962
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+ Best_accuracy : 98.784, Best_norm_ED : 0.9962
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+ --------------------------------------------------------------------------------
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+ Ground Truth | Prediction | Confidence Score & T/F
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+ --------------------------------------------------------------------------------
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+ kkk | kkk | 0.9318 True
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+ Tanierik | Tanierik | 0.9536 True
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+ --------------------------------------------------------------------------------
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+ [70000/100000] Train loss: 0.00038, Valid loss: 0.02468, Elapsed_time: 16488.95510
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+ Current_accuracy : 98.316, Current_norm_ED : 0.9954
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+ Best_accuracy : 98.784, Best_norm_ED : 0.9962
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+ --------------------------------------------------------------------------------
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+ Ground Truth | Prediction | Confidence Score & T/F
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+ --------------------------------------------------------------------------------
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+ 13.04.2015 | 13.04.2015 | 0.4573 True
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+ DPH | DPH | 0.9934 True
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+ --------------------------------------------------------------------------------
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+ [80000/100000] Train loss: 0.00038, Valid loss: 0.02959, Elapsed_time: 19175.65204
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+ Current_accuracy : 98.788, Current_norm_ED : 0.9963
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+ Best_accuracy : 98.788, Best_norm_ED : 0.9963
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+ --------------------------------------------------------------------------------
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+ Ground Truth | Prediction | Confidence Score & T/F
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+ --------------------------------------------------------------------------------
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+ 37 | 37 | 0.6510 True
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+ č.201700013 | č.201700013 | 0.8365 True
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+ --------------------------------------------------------------------------------
opt.txt ADDED
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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: extended_dataset
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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: 100000
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+ valInterval: 10000
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+ saved_model: saved_models/extended_dataset/latin.pth
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+ FT: False
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+ optim: Adam
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+ lr: 1.0
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+ beta1: 0.9
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+ 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
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+ imgH: 64
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+ imgW: 600
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+ rgb: False
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+ contrast_adjust: 0.0
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+ sensitive: True
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+ PAD: True
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+ data_filtering_off: False
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+ Transformation: None
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+ FeatureExtraction: VGG
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+ SequenceModeling: BiLSTM
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+ Prediction: CTC
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+ num_fiducial: 20
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+ input_channel: 1
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+ output_channel: 256
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+ hidden_size: 256
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+ decode: greedy
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+ new_prediction: False
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+ freeze_FeatureFxtraction: False
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+ 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
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:90a0c2b80f7e8f72660e00923dac70c6caf25ffe4c898d212a4785e14832f88b
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+ size 15404555