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https://github.com/THU-MIG/yolov10.git
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
147 lines
3.1 KiB
Python
147 lines
3.1 KiB
Python
# Ultralytics YOLO base callbacks
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# Trainer callbacks ----------------------------------------------------------------------------------------------------
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def on_pretrain_routine_start(trainer):
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pass
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def on_pretrain_routine_end(trainer):
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pass
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def on_train_start(trainer):
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pass
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def on_train_epoch_start(trainer):
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pass
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def on_train_batch_start(trainer):
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pass
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def optimizer_step(trainer):
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pass
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def on_before_zero_grad(trainer):
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pass
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def on_train_batch_end(trainer):
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pass
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def on_train_epoch_end(trainer):
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pass
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def on_fit_epoch_end(trainer):
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pass
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def on_model_save(trainer):
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pass
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def on_train_end(trainer):
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pass
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def on_params_update(trainer):
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pass
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def teardown(trainer):
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pass
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# Validator callbacks --------------------------------------------------------------------------------------------------
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def on_val_start(validator):
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pass
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def on_val_batch_start(validator):
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pass
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def on_val_batch_end(validator):
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pass
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def on_val_end(validator):
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pass
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# Predictor callbacks --------------------------------------------------------------------------------------------------
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def on_predict_start(predictor):
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pass
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def on_predict_batch_start(predictor):
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pass
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def on_predict_batch_end(predictor):
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pass
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def on_predict_end(predictor):
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pass
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# Exporter callbacks ---------------------------------------------------------------------------------------------------
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def on_export_start(exporter):
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pass
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def on_export_end(exporter):
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pass
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default_callbacks = {
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# Run in trainer
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'on_pretrain_routine_start': on_pretrain_routine_start,
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'on_pretrain_routine_end': on_pretrain_routine_end,
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'on_train_start': on_train_start,
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'on_train_epoch_start': on_train_epoch_start,
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'on_train_batch_start': on_train_batch_start,
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'optimizer_step': optimizer_step,
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'on_before_zero_grad': on_before_zero_grad,
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'on_train_batch_end': on_train_batch_end,
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'on_train_epoch_end': on_train_epoch_end,
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'on_fit_epoch_end': on_fit_epoch_end, # fit = train + val
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'on_model_save': on_model_save,
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'on_train_end': on_train_end,
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'on_params_update': on_params_update,
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'teardown': teardown,
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# Run in validator
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'on_val_start': on_val_start,
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'on_val_batch_start': on_val_batch_start,
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'on_val_batch_end': on_val_batch_end,
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'on_val_end': on_val_end,
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# Run in predictor
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'on_predict_start': on_predict_start,
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'on_predict_batch_start': on_predict_batch_start,
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'on_predict_batch_end': on_predict_batch_end,
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'on_predict_end': on_predict_end,
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# Run in exporter
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'on_export_start': on_export_start,
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'on_export_end': on_export_end}
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def add_integration_callbacks(instance):
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from .clearml import callbacks as clearml_callbacks
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from .hub import callbacks as hub_callbacks
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from .tensorboard import callbacks as tb_callbacks
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from .wb import callbacks as wb_callbacks
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for x in clearml_callbacks, hub_callbacks, tb_callbacks, wb_callbacks:
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for k, v in x.items():
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instance.callbacks[k].append(v) # callback[name].append(func)
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