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docs: clarify train base-dir option
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@ -24,6 +24,14 @@ __all__ = ["train_command"]
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"training starts from a fresh model config."
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"training starts from a fresh model config."
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),
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),
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)
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)
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@click.option(
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"--base-dir",
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type=click.Path(exists=True),
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help=(
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"Base directory used to resolve relative paths inside the training "
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"and validation dataset configs."
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),
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)
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@click.option(
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@click.option(
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"--targets",
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"--targets",
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"targets_config",
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"targets_config",
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@ -111,6 +119,7 @@ def train_command(
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model_path: Path | None = None,
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model_path: Path | None = None,
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ckpt_dir: Path | None = None,
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ckpt_dir: Path | None = None,
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log_dir: Path | None = None,
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log_dir: Path | None = None,
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base_dir: Path | None = None,
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targets_config: Path | None = None,
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targets_config: Path | None = None,
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model_config: Path | None = None,
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model_config: Path | None = None,
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training_config: Path | None = None,
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training_config: Path | None = None,
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@ -191,7 +200,10 @@ def train_command(
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model_conf = model_conf.model_copy(update={"targets": target_conf})
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model_conf = model_conf.model_copy(update={"targets": target_conf})
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logger.info("Loading training dataset...")
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logger.info("Loading training dataset...")
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train_annotations = load_dataset_from_config(train_dataset)
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train_annotations = load_dataset_from_config(
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train_dataset,
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base_dir=base_dir,
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)
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logger.debug(
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logger.debug(
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"Loaded {num_annotations} training examples",
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"Loaded {num_annotations} training examples",
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num_annotations=len(train_annotations),
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num_annotations=len(train_annotations),
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@ -199,7 +211,10 @@ def train_command(
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val_annotations = None
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val_annotations = None
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if val_dataset is not None:
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if val_dataset is not None:
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val_annotations = load_dataset_from_config(val_dataset)
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val_annotations = load_dataset_from_config(
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val_dataset,
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base_dir=base_dir,
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)
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logger.debug(
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logger.debug(
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"Loaded {num_annotations} validation examples",
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"Loaded {num_annotations} validation examples",
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num_annotations=len(val_annotations),
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num_annotations=len(val_annotations),
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