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πŸš€ Allow validation splits from training data #1865

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Mar 20, 2024
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10 changes: 9 additions & 1 deletion src/anomalib/data/base/datamodule.py
Original file line number Diff line number Diff line change
Expand Up @@ -185,7 +185,15 @@ def _create_test_split(self) -> None:

def _create_val_split(self) -> None:
"""Obtain the validation set based on the settings in the config."""
if self.val_split_mode == ValSplitMode.FROM_TEST:
if self.val_split_mode == ValSplitMode.FROM_TRAIN:
# randomly sampled from train set
self.train_data, self.val_data = random_split(
self.train_data,
self.val_split_ratio,
label_aware=True,
seed=self.seed,
)
elif self.val_split_mode == ValSplitMode.FROM_TEST:
# randomly sampled from test set
self.test_data, self.val_data = random_split(
self.test_data,
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1 change: 1 addition & 0 deletions src/anomalib/data/utils/split.py
Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ class ValSplitMode(str, Enum):

NONE = "none"
SAME_AS_TEST = "same_as_test"
FROM_TRAIN = "from_train"
FROM_TEST = "from_test"
SYNTHETIC = "synthetic"

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