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Fix model_formats arg missing in cli #942

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Merged
Josef-Haupt merged 1 commit into from
Jul 6, 2026
Merged

Fix model_formats arg missing in cli #942

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11 changes: 6 additions & 5 deletions birdnet_analyzer/cli.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
MODEL_LANGUAGES,
)

from birdnet_analyzer.config import AUTOTUNE_METRICS
from birdnet_analyzer.config import AUTOTUNE_METRICS, TRAINED_MODEL_OUTPUT_FORMATS

SCRIPT_DIR = os.path.abspath(os.path.dirname(__file__))
ASCII_LOGO = r"""
Expand Down Expand Up @@ -888,10 +888,11 @@ def train_parser():
help="Upsampling mode.",
)
parser.add_argument(
"--model_format",
default="tflite",
choices=["tflite", "raven", "both"],
help="Model output format.",
"--model_formats",
nargs="+",
default=["tflite"],
choices=get_args(TRAINED_MODEL_OUTPUT_FORMATS),
help="Model output format(s). One or more of 'tflite', 'raven', 'detached'.",
Comment on lines +891 to +895
)
parser.add_argument(
"--model_save_mode",
Expand Down
2 changes: 1 addition & 1 deletion birdnet_analyzer/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,6 @@
SAMPLE_CROP_MODES = Literal["center", "first", "segments", "smart"]
NON_EVENT_CLASSES: list[str] = ["noise", "other", "background", "silence"]
UPSAMPLING_MODES = Literal["repeat", "mean", "smote"]
TRAINED_MODEL_OUTPUT_FORMATS = Literal["tflite", "raven", "both"]
TRAINED_MODEL_OUTPUT_FORMATS = Literal["tflite", "raven", "detached"]
TRAINED_MODEL_SAVE_MODES = Literal["replace", "append"]
AUTOTUNE_METRICS = Literal["val_loss", "val_AUPRC", "val_AUROC"]
9 changes: 5 additions & 4 deletions birdnet_analyzer/train/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,8 @@ def train(
mixup: bool = False,
upsampling_ratio: float = 0.0,
upsampling_mode: UPSAMPLING_MODES = "repeat",
model_format: TRAINED_MODEL_OUTPUT_FORMATS = "tflite",
model_formats: list[TRAINED_MODEL_OUTPUT_FORMATS]
| TRAINED_MODEL_OUTPUT_FORMATS = "tflite",
model_save_mode: TRAINED_MODEL_SAVE_MODES = "replace",
save_cache_to: str | None = None,
threads: int = 1,
Expand Down Expand Up @@ -80,8 +81,8 @@ def train(
classes. Defaults to 0.0.
upsampling_mode (Literal["repeat", "mean", "smote"], optional): Mode for
upsampling. Defaults to "repeat".
model_format (Literal["tflite", "raven", "both"], optional): Format to save the
trained model. Defaults to "tflite".
model_formats (list[Literal["tflite", "raven", "detached"]] | str, optional):
One or more formats to save the trained model. Defaults to "tflite".
model_save_mode (Literal["replace", "append"], optional): Save mode for the
model. Defaults to "replace".
save_cache_to (str | None, optional): Path to save the cache file.
Expand Down Expand Up @@ -128,7 +129,7 @@ def train(
mixup=mixup,
upsampling_ratio=upsampling_ratio,
upsampling_mode=upsampling_mode,
model_format=model_format,
model_formats=model_formats,
model_save_mode=model_save_mode,
save_cache_to=save_cache_to,
threads=threads,
Expand Down
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