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save model after fitting

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This commit is contained in:
Maciej Sobkowiak 2022-02-16 22:47:40 +01:00
parent af76c778d7
commit 8d02fa043c
1 changed files with 4 additions and 3 deletions
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7
main.py
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@ -4,6 +4,7 @@ from src.loss import jaccard_loss
from src.metrics import IOU from src.metrics import IOU
from src.consts import EPOCHS, STEPS, SEED from src.consts import EPOCHS, STEPS, SEED
from src.generators import create_generators from src.generators import create_generators
from src.helpers import create_folder
from tensorflow.keras.callbacks import ModelCheckpoint from tensorflow.keras.callbacks import ModelCheckpoint
import tensorflow as tf import tensorflow as tf
@ -16,10 +17,8 @@ if __name__ == "__main__":
'optimizer':'rmsprop', 'optimizer':'rmsprop',
'metrics':[IOU] 'metrics':[IOU]
} }
model.compile(**compile_params) model.compile(**compile_params)
# tf.keras.utils.plot_model(model, show_shapes=True)
model_name = "models/unet.h5" model_name = "models/unet.h5"
modelcheckpoint = ModelCheckpoint(model_name, modelcheckpoint = ModelCheckpoint(model_name,
@ -38,4 +37,6 @@ if __name__ == "__main__":
steps_per_epoch=STEPS, steps_per_epoch=STEPS,
validation_steps = STEPS, validation_steps = STEPS,
shuffle=True, shuffle=True,
) )
create_folder('models', '.')
model.save(filepath=model_name)