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'''
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
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