advanced_east.py

import os
from keras.callbacks import EarlyStopping, ModelCheckpoint
from keras.optimizers import Adam

import cfg
from network import East
from losses import quad_loss
from data_generator import gen

east = East()
east_network = east.east_network()
east_network.summary()
east_network.compile(loss=quad_loss, optimizer=Adam(lr=cfg.lr,
                                                    # clipvalue=cfg.clipvalue,
                                                    decay=cfg.decay))
if cfg.load_weights and os.path.exists(cfg.saved_model_weights_file_path):
    east_network.load_weights(cfg.saved_model_weights_file_path)

east_network.fit_generator(generator=gen(),
                           steps_per_epoch=cfg.steps_per_epoch,
                           epochs=cfg.epoch_num,
                           validation_data=gen(is_val=True),
                           validation_steps=cfg.validation_steps,
                           verbose=1,
                           initial_epoch=cfg.initial_epoch,
                           callbacks=[
                               EarlyStopping(patience=cfg.patience, verbose=1),
                               ModelCheckpoint(filepath=cfg.model_weights_path,
                                               save_best_only=True,
                                               save_weights_only=True,
                                               verbose=1)])
east_network.save(cfg.saved_model_file_path)
east_network.save_weights(cfg.saved_model_weights_file_path)