testing dataset

trainer/config_files/en_filtered_config.yaml

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+number: '0123456789'
+symbol: "!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ €"
+lang_char: 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz'
+experiment_name: 'en_filtered'
+train_data: 'all_data'
+valid_data: 'all_data/valid'
+manualSeed: 1111
+workers: 6
+batch_size: 32 #32
+num_iter: 300000
+valInterval: 20000
+saved_model: '' #'saved_models/en_filtered/iter_300000.pth'
+FT: False
+optim: False # default is Adadelta
+lr: 1.
+beta1: 0.9
+rho: 0.95
+eps: 0.00000001
+grad_clip: 5
+#Data processing
+select_data: 'train' # this is dataset folder in train_data
+batch_ratio: '1' 
+total_data_usage_ratio: 1.0
+batch_max_length: 34 
+imgH: 64
+imgW: 600
+rgb: False
+contrast_adjust: False
+sensitive: True
+PAD: True
+contrast_adjust: 0.0
+data_filtering_off: False
+# Model Architecture
+Transformation: 'ResNet'
+FeatureExtraction: 'VGG'
+SequenceModeling: 'BiLSTM'
+Prediction: 'CTC'
+num_fiducial: 20
+input_channel: 1
+output_channel: 256
+hidden_size: 256
+decode: 'greedy'
+new_prediction: False
+freeze_FeatureFxtraction: False
+freeze_SequenceModeling: False