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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Mehran Ghandehari <mehran.maps@gmail.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
37 lines
996 B
Python
37 lines
996 B
Python
# Ultralytics YOLO 🚀, GPL-3.0 license
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from torch.utils.tensorboard import SummaryWriter
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from ultralytics.yolo.utils import LOGGER
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writer = None # TensorBoard SummaryWriter instance
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def _log_scalars(scalars, step=0):
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if writer:
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for k, v in scalars.items():
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writer.add_scalar(k, v, step)
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def on_pretrain_routine_start(trainer):
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global writer
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try:
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writer = SummaryWriter(str(trainer.save_dir))
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except Exception as e:
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writer = None # TensorBoard SummaryWriter instance
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LOGGER.warning(f'WARNING ⚠️ TensorBoard not initialized correctly, not logging this run. {e}')
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def on_batch_end(trainer):
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_log_scalars(trainer.label_loss_items(trainer.tloss, prefix='train'), trainer.epoch + 1)
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def on_fit_epoch_end(trainer):
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_log_scalars(trainer.metrics, trainer.epoch + 1)
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callbacks = {
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'on_pretrain_routine_start': on_pretrain_routine_start,
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'on_fit_epoch_end': on_fit_epoch_end,
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'on_batch_end': on_batch_end}
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