Glenn Jocher 701fba4770
ultralytics 8.0.54 TFLite export improvements and fixes (#1447)
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2023-03-16 15:42:44 +01:00

43 lines
1.3 KiB
Python

# Ultralytics YOLO 🚀, GPL-3.0 license
from ultralytics.yolo.utils import LOGGER, TESTS_RUNNING, colorstr
try:
from torch.utils.tensorboard import SummaryWriter
assert not TESTS_RUNNING # do not log pytest
except (ImportError, AssertionError):
SummaryWriter = None
writer = None # TensorBoard SummaryWriter instance
def _log_scalars(scalars, step=0):
if writer:
for k, v in scalars.items():
writer.add_scalar(k, v, step)
def on_pretrain_routine_start(trainer):
if SummaryWriter:
try:
global writer
writer = SummaryWriter(str(trainer.save_dir))
prefix = colorstr('TensorBoard: ')
LOGGER.info(f"{prefix}Start with 'tensorboard --logdir {trainer.save_dir}', view at http://localhost:6006/")
except Exception as e:
LOGGER.warning(f'WARNING ⚠️ TensorBoard not initialized correctly, not logging this run. {e}')
def on_batch_end(trainer):
_log_scalars(trainer.label_loss_items(trainer.tloss, prefix='train'), trainer.epoch + 1)
def on_fit_epoch_end(trainer):
_log_scalars(trainer.metrics, trainer.epoch + 1)
callbacks = {
'on_pretrain_routine_start': on_pretrain_routine_start,
'on_fit_epoch_end': on_fit_epoch_end,
'on_batch_end': on_batch_end}