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.
54 lines
1.8 KiB
54 lines
1.8 KiB
from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params |
|
|
|
try: |
|
import clearml |
|
from clearml import Task |
|
|
|
assert hasattr(clearml, '__version__') |
|
except (ImportError, AssertionError): |
|
clearml = None |
|
|
|
|
|
def _log_images(imgs_dict, group="", step=0): |
|
task = Task.current_task() |
|
if task: |
|
for k, v in imgs_dict.items(): |
|
task.get_logger().report_image(group, k, step, v) |
|
|
|
|
|
def on_pretrain_routine_start(trainer): |
|
# TODO: reuse existing task |
|
task = Task.init(project_name=trainer.args.project if trainer.args.project != 'runs/train' else 'YOLOv8', |
|
task_name=trainer.args.name, |
|
tags=['YOLOv8'], |
|
output_uri=True, |
|
reuse_last_task_id=False, |
|
auto_connect_frameworks={'pytorch': False}) |
|
task.connect(dict(trainer.args), name='General') |
|
|
|
|
|
def on_train_epoch_end(trainer): |
|
if trainer.epoch == 1: |
|
_log_images({f.stem: str(f) for f in trainer.save_dir.glob('train_batch*.jpg')}, "Mosaic", trainer.epoch) |
|
|
|
|
|
def on_val_end(trainer): |
|
if trainer.epoch == 0: |
|
model_info = { |
|
"Parameters": get_num_params(trainer.model), |
|
"GFLOPs": round(get_flops(trainer.model), 1), |
|
"Inference speed (ms/img)": round(trainer.validator.speed[1], 1)} |
|
Task.current_task().connect(model_info, name='Model') |
|
|
|
|
|
def on_train_end(trainer): |
|
Task.current_task().update_output_model(model_path=str(trainer.best), |
|
model_name=trainer.args.name, |
|
auto_delete_file=False) |
|
|
|
|
|
callbacks = { |
|
"on_pretrain_routine_start": on_pretrain_routine_start, |
|
"on_train_epoch_end": on_train_epoch_end, |
|
"on_val_end": on_val_end, |
|
"on_train_end": on_train_end} if clearml else {}
|
|
|