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authoraktersnurra <gustaf.rydholm@gmail.com>2020-11-08 14:54:44 +0100
committeraktersnurra <gustaf.rydholm@gmail.com>2020-11-08 14:54:44 +0100
commitdc28cbe2b4ed77be92ee8b2b69a20689c3bf02a4 (patch)
tree1b5fc0d06952e13727e85c4f973a26d277068453 /src/text_recognizer/models/metrics.py
parente181195a699d7fa237f256d90ab4dedffc03d405 (diff)
new updates
Diffstat (limited to 'src/text_recognizer/models/metrics.py')
-rw-r--r--src/text_recognizer/models/metrics.py5
1 files changed, 4 insertions, 1 deletions
diff --git a/src/text_recognizer/models/metrics.py b/src/text_recognizer/models/metrics.py
index 6a26216..42c3c6e 100644
--- a/src/text_recognizer/models/metrics.py
+++ b/src/text_recognizer/models/metrics.py
@@ -17,7 +17,10 @@ def accuracy(outputs: Tensor, labels: Tensor) -> float:
float: The accuracy for the batch.
"""
- _, predicted = torch.max(outputs.data, dim=1)
+ # eos_index = torch.nonzero(labels == eos, as_tuple=False)
+ # eos_index = eos_index[0].item() if eos_index.nelement() else -1
+
+ _, predicted = torch.max(outputs, dim=-1)
acc = (predicted == labels).sum().float() / labels.shape[0]
acc = acc.item()
return acc