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# Ultralytics YOLO π, GPL-3.0 license | |
from ultralytics.yolo.utils import LOGGER, TESTS_RUNNING | |
from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params | |
try: | |
import comet_ml | |
assert not TESTS_RUNNING # do not log pytest | |
assert hasattr(comet_ml, '__version__') # verify package is not directory | |
except (ImportError, AssertionError): | |
comet_ml = None | |
def on_pretrain_routine_start(trainer): | |
try: | |
experiment = comet_ml.Experiment(project_name=trainer.args.project or 'YOLOv8') | |
experiment.set_name(trainer.args.name) | |
experiment.log_parameters(vars(trainer.args)) | |
except Exception as e: | |
LOGGER.warning(f'WARNING β οΈ Comet installed but not initialized correctly, not logging this run. {e}') | |
def on_train_epoch_end(trainer): | |
experiment = comet_ml.get_global_experiment() | |
if experiment: | |
experiment.log_metrics(trainer.label_loss_items(trainer.tloss, prefix='train'), step=trainer.epoch + 1) | |
if trainer.epoch == 1: | |
for f in trainer.save_dir.glob('train_batch*.jpg'): | |
experiment.log_image(f, name=f.stem, step=trainer.epoch + 1) | |
def on_fit_epoch_end(trainer): | |
experiment = comet_ml.get_global_experiment() | |
if experiment: | |
experiment.log_metrics(trainer.metrics, step=trainer.epoch + 1) | |
if trainer.epoch == 0: | |
model_info = { | |
'model/parameters': get_num_params(trainer.model), | |
'model/GFLOPs': round(get_flops(trainer.model), 3), | |
'model/speed(ms)': round(trainer.validator.speed['inference'], 3)} | |
experiment.log_metrics(model_info, step=trainer.epoch + 1) | |
def on_train_end(trainer): | |
experiment = comet_ml.get_global_experiment() | |
if experiment: | |
experiment.log_model('YOLOv8', file_or_folder=str(trainer.best), file_name='best.pt', overwrite=True) | |
callbacks = { | |
'on_pretrain_routine_start': on_pretrain_routine_start, | |
'on_train_epoch_end': on_train_epoch_end, | |
'on_fit_epoch_end': on_fit_epoch_end, | |
'on_train_end': on_train_end} if comet_ml else {} | |