1 files changed, 0 insertions, 46 deletions
diff --git a/text_recognizer/data/transforms/load_transform.py b/text_recognizer/data/transforms/load_transform.py
deleted file mode 100644
index e8c57bc..0000000
--- a/text_recognizer/data/transforms/load_transform.py
+++ /dev/null
@@ -1,46 +0,0 @@
-"""Load a config of transforms."""
-from pathlib import Path
-from typing import Callable
-
-import torchvision.transforms as T
-from hydra.utils import instantiate
-from loguru import logger as log
-from omegaconf import DictConfig, OmegaConf
-
-TRANSFORM_DIRNAME = (
-    Path(__file__).resolve().parents[3] / "training" / "conf" / "datamodule"
-)
-
-
-def _load_config(filepath: str) -> DictConfig:
-    log.debug(f"Loading transforms from config: {filepath}")
-    path = TRANSFORM_DIRNAME / Path(filepath)
-    with open(path) as f:
-        cfgs = OmegaConf.load(f)
-    return cfgs
-
-
-def _load_transform(transform: DictConfig) -> Callable:
-    """Loads a transform."""
-    if "ColorJitter" in transform._target_:
-        return T.ColorJitter(brightness=list(transform.brightness))
-    if transform.get("interpolation"):
-        transform.interpolation = getattr(
-            T.functional.InterpolationMode, transform.interpolation
-        )
-    return instantiate(transform, _recursive_=False)
-
-
-def load_transform_from_file(filepath: str) -> T.Compose:
-    """Loads transforms from a config."""
-    cfgs = _load_config(filepath)
-    transform = load_transform(cfgs)
-    return transform
-
-
-def load_transform(cfgs: DictConfig) -> T.Compose:
-    transforms = []
-    for cfg in cfgs.values():
-        transform = _load_transform(cfg)
-        transforms.append(transform)
-    return T.Compose(transforms)