Reformat test for CER

1 files changed, 23 insertions, 0 deletions

diff --git a/tests/test_cer.py b/tests/test_cer.py
new file mode 100644
index 0000000..30d58b2
--- /dev/null
+++ b/tests/test_cer.py
@@ -0,0 +1,23 @@
+"""Test the CER metric."""
+import torch
+
+from text_recognizer.models.metrics import CharacterErrorRate
+
+
+def test_character_error_rate() -> None:
+    """Test CER computation."""
+    metric = CharacterErrorRate([0, 1])
+    preds = torch.Tensor(
+        [
+            [0, 2, 2, 3, 3, 1],  # error will be 0
+            [0, 2, 1, 1, 1, 1],  # error will be 0.75
+            [0, 2, 2, 4, 4, 1],  # error will be 0.5
+        ]
+    )
+
+    targets = torch.Tensor([[0, 2, 2, 3, 3, 1], [0, 2, 2, 3, 3, 1], [0, 2, 2, 3, 3, 1]])
+    metric(preds, targets)
+    print(metric.compute())
+    assert metric.compute() == float(sum([0, 0.75, 0.5]) / 3)
+
+