tf_crnn
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tf_crnn
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B
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C
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D
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I
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K
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P
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T
A
Alphabet (class in tf_crnn.config)
alphabet_units (tf_crnn.config.Alphabet attribute)
augment_data() (in module tf_crnn.data_handler)
B
blank_symbol (tf_crnn.config.Alphabet attribute)
C
check_input_file_alphabet() (tf_crnn.config.Alphabet method)
codes (tf_crnn.config.Alphabet attribute)
create_lookup_from_labels() (tf_crnn.config.Alphabet class method)
crnn_fn() (in module tf_crnn.model)
D
data_loader() (in module tf_crnn.data_handler)
deep_bidirectional_lstm() (in module tf_crnn.model)
deep_cnn() (in module tf_crnn.model)
I
import_params_from_json() (in module tf_crnn.config)
K
keep_prob_dropout (tf_crnn.config.Params attribute)
N
n_classes (tf_crnn.config.Alphabet attribute)
P
padding_inputs_width() (in module tf_crnn.data_handler)
Params (class in tf_crnn.config)
predict() (tf_crnn.loader.PredictionModel method)
PredictionModel (class in tf_crnn.loader)
R
random_padding() (in module tf_crnn.data_handler)
random_rotation() (in module tf_crnn.data_handler)
S
serving_single_input() (in module tf_crnn.data_handler)
show_experiment_params() (tf_crnn.config.Params method)
T
tf_crnn (module)
tf_crnn.config (module)
tf_crnn.data_handler (module)
tf_crnn.loader (module)
tf_crnn.model (module)
to_dict() (tf_crnn.config.TrainingParams method)
TrainingParams (class in tf_crnn.config)
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