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import threading
class Callbacks:
""""
Handles all registered callbacks for YOLOv5 Hooks
"""
def __init__(self):
# Define the available callbacks
self._callbacks = {
'on_pretrain_routine_start': [],
'on_pretrain_routine_end': [],
'on_train_start': [],
'on_train_epoch_start': [],
'on_train_batch_start': [],
'optimizer_step': [],
'on_before_zero_grad': [],
'on_train_batch_end': [],
'on_train_epoch_end': [],
'on_val_start': [],
'on_val_batch_start': [],
'on_val_image_end': [],
'on_val_batch_end': [],
'on_val_end': [],
'on_fit_epoch_end': [], # fit = train + val
'on_model_save': [],
'on_train_end': [],
'on_params_update': [],
'teardown': [],}
self.stop_training = False # set True to interrupt training
def register_action(self, hook, name='', callback=None):
"""
Register a new action to a callback hook
Args:
hook: The callback hook name to register the action to
name: The name of the action for later reference
callback: The callback to fire
"""
assert hook in self._callbacks, f"hook '{hook}' not found in callbacks {self._callbacks}"
assert callable(callback), f"callback '{callback}' is not callable"
self._callbacks[hook].append({'name': name, 'callback': callback})
def get_registered_actions(self, hook=None):
""""
Returns all the registered actions by callback hook
Args:
hook: The name of the hook to check, defaults to all
"""
return self._callbacks[hook] if hook else self._callbacks
def run(self, hook, *args, thread=False, **kwargs):
"""
Loop through the registered actions and fire all callbacks on main thread
Args:
hook: The name of the hook to check, defaults to all
args: Arguments to receive from YOLOv5
thread: (boolean) Run callbacks in daemon thread
kwargs: Keyword Arguments to receive from YOLOv5
"""
assert hook in self._callbacks, f"hook '{hook}' not found in callbacks {self._callbacks}"
for logger in self._callbacks[hook]:
if thread:
threading.Thread(target=logger['callback'], args=args, kwargs=kwargs, daemon=True).start()
else:
logger['callback'](*args, **kwargs)