from src.Unet import Unet
from src.loss import jaccard_loss
from src.metrics import IOU
from src.consts import EPOCHS, STEPS, SEED
from src.generators import create_generators
from tensorflow.keras.callbacks import ModelCheckpoint
import tensorflow as tf


if __name__ == "__main__":
    model = Unet(num_classes=1).build_model()

    compile_params ={
        'loss':jaccard_loss(smooth=90), 
        'optimizer':'rmsprop',
        'metrics':[IOU]
        }
        
                    
    model.compile(**compile_params)
    # tf.keras.utils.plot_model(model, show_shapes=True)

    model_name = "models/unet.h5"
    modelcheckpoint = ModelCheckpoint(model_name,
                                    monitor='val_loss',
                                    mode='auto',
                                    verbose=1,
                                    save_best_only=True)


    train_gen = create_generators('training', SEED)
    val_gen = create_generators('validation', SEED)

    history = model.fit_generator(train_gen,
                        validation_data=val_gen,
                        epochs=EPOCHS,
                        steps_per_epoch=STEPS,
                        validation_steps = STEPS,
                        shuffle=True,
    )