1 files changed, 0 insertions, 36 deletions
diff --git a/text_recognizer/models/metrics.py b/text_recognizer/models/metrics.py
deleted file mode 100644
index 3cb16b5..0000000
--- a/text_recognizer/models/metrics.py
+++ /dev/null
@@ -1,36 +0,0 @@
-"""Character Error Rate (CER)."""
-from typing import Sequence
-
-import editdistance
-import torch
-from torch import Tensor
-from torchmetrics import Metric
-
-
-class CharacterErrorRate(Metric):
-    """Character error rate metric, computed using Levenshtein distance."""
-
-    def __init__(self, ignore_indices: Sequence[Tensor]) -> None:
-        super().__init__()
-        self.ignore_indices = set(ignore_indices)
-        self.add_state("error", default=torch.tensor(0.0), dist_reduce_fx="sum")
-        self.add_state("total", default=torch.tensor(0), dist_reduce_fx="sum")
-        self.error: Tensor
-        self.total: Tensor
-
-    def update(self, preds: Tensor, targets: Tensor) -> None:
-        """Update CER."""
-        bsz = preds.shape[0]
-        for index in range(bsz):
-            pred = [p for p in preds[index].tolist() if p not in self.ignore_indices]
-            target = [
-                t for t in targets[index].tolist() if t not in self.ignore_indices
-            ]
-            distance = editdistance.distance(pred, target)
-            error = distance / max(len(pred), len(target))
-            self.error += error
-        self.total += bsz
-
-    def compute(self) -> Tensor:
-        """Compute CER."""
-        return self.error / self.total