mediapipe_model_maker.object_detector.HParams

The hyperparameters for training object detectors.

Inherits From: BaseHParams

mediapipe_model_maker.object_detector.HParams(
    learning_rate: float = 0.3,
    batch_size: int = 8,
    epochs: int = 30,
    steps_per_epoch: Optional[int] = None,
    class_weights: Optional[Mapping[int, float]] = None,
    shuffle: bool = False,
    repeat: bool = False,
    export_dir: str = tempfile.mkdtemp(),
    distribution_strategy: str = 'off',
    num_gpus: int = 0,
    tpu: str = '',
    cosine_decay_epochs: Optional[int] = None,
    cosine_decay_alpha: float = 1.0
)

Attributes
learning_rate	Learning rate to use for gradient descent training.
batch_size	Batch size for training.
epochs	Number of training iterations over the dataset.
cosine_decay_epochs	The number of epochs for cosine decay learning rate. See https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/schedules/CosineDecay for more info.
cosine_decay_alpha	The alpha value for cosine decay learning rate. See https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/schedules/CosineDecay for more info.
steps_per_epoch	Dataclass field
class_weights	Dataclass field
shuffle	Dataclass field
repeat	Dataclass field
export_dir	Dataclass field
distribution_strategy	Dataclass field
num_gpus	Dataclass field
tpu	Dataclass field

Methods

get_strategy

View source

get_strategy()

__eq__

__eq__(
    other
)

Class Variables
batch_size	8
class_weights	None
cosine_decay_alpha	1.0
cosine_decay_epochs	None
distribution_strategy	'off'
epochs	30
export_dir	'/tmpfs/tmp/tmpnt_h4p9w'
learning_rate	0.3
num_gpus	0
repeat	False
shuffle	False
steps_per_epoch	None
tpu	''