You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
46 lines
1.5 KiB
46 lines
1.5 KiB
# Ultralytics YOLO 🚀, GPL-3.0 license
|
|
|
|
from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params
|
|
|
|
try:
|
|
import comet_ml
|
|
|
|
except ImportError:
|
|
comet_ml = None
|
|
|
|
|
|
def on_pretrain_routine_start(trainer):
|
|
experiment = comet_ml.Experiment(project_name=trainer.args.project or 'YOLOv8')
|
|
experiment.log_parameters(vars(trainer.args))
|
|
|
|
|
|
def on_train_epoch_end(trainer):
|
|
experiment = comet_ml.get_global_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()
|
|
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[1], 3)}
|
|
experiment.log_metrics(model_info, step=trainer.epoch + 1)
|
|
|
|
|
|
def on_train_end(trainer):
|
|
experiment = comet_ml.get_global_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 {}
|