summaryrefslogtreecommitdiff
path: root/text_recognizer/models/metrics/cer.py
diff options
context:
space:
mode:
authorGustaf Rydholm <gustaf.rydholm@gmail.com>2022-09-27 23:16:33 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2022-09-27 23:16:33 +0200
commit626cf824526b00b18043315322f86789278939fa (patch)
treefffd36187cdc056011a2db2cb2b3016a4f720886 /text_recognizer/models/metrics/cer.py
parent9c7dbb9ca70858b870f74ecf595d3169f0cbc711 (diff)
Refactor metrics
Diffstat (limited to 'text_recognizer/models/metrics/cer.py')
-rw-r--r--text_recognizer/models/metrics/cer.py23
1 files changed, 0 insertions, 23 deletions
diff --git a/text_recognizer/models/metrics/cer.py b/text_recognizer/models/metrics/cer.py
deleted file mode 100644
index 238ecc3..0000000
--- a/text_recognizer/models/metrics/cer.py
+++ /dev/null
@@ -1,23 +0,0 @@
-"""Character Error Rate (CER)."""
-from typing import Sequence
-
-import torch
-import torchmetrics
-
-
-class CharacterErrorRate(torchmetrics.CharErrorRate):
- """Character error rate metric, allowing for tokens to be ignored."""
-
- def __init__(self, ignore_tokens: Sequence[int], *args):
- super().__init__(*args)
- self.ignore_tokens = set(ignore_tokens)
-
- def update(self, preds: torch.Tensor, targets: torch.Tensor) -> None:
- preds_l = [
- [t for t in pred if t not in self.ignore_tokens] for pred in preds.tolist()
- ]
- targets_l = [
- [t for t in target if t not in self.ignore_tokens]
- for target in targets.tolist()
- ]
- super().update(preds_l, targets_l)