''' Copyright 2024 Image Processing Research Group of University Federico II of Naples ('GRIP-UNINA'). All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ''' from .dataset import create_dataloader from .training import TrainingModel class EarlyStopping: def __init__(self, init_score=None, patience=1, verbose=False, delta=0): self.best_score = init_score self.patience = patience self.delta = delta self.verbose = verbose self.count_down = self.patience self.early_stop = False def __call__(self, score): if self.best_score is None: if self.verbose: print(f'Score set to {score:.6f}.') self.best_score = score self.count_down = self.patience return True elif score <= self.best_score + self.delta: self.count_down -= 1 if self.verbose: print(f'EarlyStopping count_down: {self.count_down} on {self.patience}') if self.count_down <= 0: self.early_stop = True return False else: if self.verbose: print(f'Score increased from ({self.best_score:.6f} to {score:.6f}).') self.best_score = score self.count_down = self.patience return True def reset_counter(self): self.count_down = self.patience self.early_stop = False