ultralytics 8.0.44
export and task fixes (#1088)
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>
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@ -29,7 +29,7 @@ def on_pretrain_routine_start(trainer):
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auto_connect_frameworks={'pytorch': False})
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task.connect(vars(trainer.args), name='General')
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except Exception as e:
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LOGGER.warning(f'WARNING ⚠️ ClearML not initialized correctly, not logging this run. {e}')
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LOGGER.warning(f'WARNING ⚠️ ClearML installed but not initialized correctly, not logging this run. {e}')
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def on_train_epoch_end(trainer):
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@ -41,9 +41,9 @@ def on_fit_epoch_end(trainer):
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task = Task.current_task()
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if task and trainer.epoch == 0:
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model_info = {
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'Parameters': get_num_params(trainer.model),
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'GFLOPs': round(get_flops(trainer.model), 3),
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'Inference speed (ms/img)': round(trainer.validator.speed[1], 3)}
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'model/parameters': get_num_params(trainer.model),
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'model/GFLOPs': round(get_flops(trainer.model), 3),
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'model/speed(ms)': round(trainer.validator.speed['inference'], 3)}
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task.connect(model_info, name='Model')
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@ -16,7 +16,7 @@ def on_pretrain_routine_start(trainer):
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experiment = comet_ml.Experiment(project_name=trainer.args.project or 'YOLOv8')
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experiment.log_parameters(vars(trainer.args))
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except Exception as e:
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LOGGER.warning(f'WARNING ⚠️ Comet not initialized correctly, not logging this run. {e}')
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LOGGER.warning(f'WARNING ⚠️ Comet installed but not initialized correctly, not logging this run. {e}')
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def on_train_epoch_end(trainer):
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@ -36,7 +36,7 @@ def on_fit_epoch_end(trainer):
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model_info = {
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'model/parameters': get_num_params(trainer.model),
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'model/GFLOPs': round(get_flops(trainer.model), 3),
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'model/speed(ms)': round(trainer.validator.speed[1], 3)}
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'model/speed(ms)': round(trainer.validator.speed['inference'], 3)}
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experiment.log_metrics(model_info, step=trainer.epoch + 1)
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@ -2,17 +2,24 @@
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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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for k, v in scalars.items():
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writer.add_scalar(k, v, step)
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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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writer = SummaryWriter(str(trainer.save_dir))
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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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