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| author | aktersnurra <gustaf.rydholm@gmail.com> | 2020-07-05 22:27:08 +0200 | 
|---|---|---|
| committer | aktersnurra <gustaf.rydholm@gmail.com> | 2020-07-05 22:27:08 +0200 | 
| commit | 5a78fc2e33c28968a69d033cb10d638f4f63fed1 (patch) | |
| tree | e11cea8366c848e5500f85968ee5369ff8d96b00 /src/text_recognizer/models/metrics.py | |
| parent | 7c4de6d88664d2ea1b084f316a11896dde3e1150 (diff) | |
Working on getting experiment loop.
Diffstat (limited to 'src/text_recognizer/models/metrics.py')
| -rw-r--r-- | src/text_recognizer/models/metrics.py | 19 | 
1 files changed, 19 insertions, 0 deletions
diff --git a/src/text_recognizer/models/metrics.py b/src/text_recognizer/models/metrics.py new file mode 100644 index 0000000..e2a30a9 --- /dev/null +++ b/src/text_recognizer/models/metrics.py @@ -0,0 +1,19 @@ +"""Utility functions for models.""" + +import torch + + +def accuracy(outputs: torch.Tensor, labels: torch.Tensro) -> float: +    """Computes the accuracy. + +    Args: +        outputs (torch.Tensor): The output from the network. +        labels (torch.Tensor): Ground truth labels. + +    Returns: +        float: The accuracy for the batch. + +    """ +    _, predicted = torch.max(outputs.data, dim=1) +    acc = (predicted == labels).sum().item() / labels.shape[0] +    return acc  |