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author | aktersnurra <gustaf.rydholm@gmail.com> | 2020-11-08 14:54:44 +0100 |
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committer | aktersnurra <gustaf.rydholm@gmail.com> | 2020-11-08 14:54:44 +0100 |
commit | dc28cbe2b4ed77be92ee8b2b69a20689c3bf02a4 (patch) | |
tree | 1b5fc0d06952e13727e85c4f973a26d277068453 /src/text_recognizer/models/character_model.py | |
parent | e181195a699d7fa237f256d90ab4dedffc03d405 (diff) |
new updates
Diffstat (limited to 'src/text_recognizer/models/character_model.py')
-rw-r--r-- | src/text_recognizer/models/character_model.py | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/src/text_recognizer/models/character_model.py b/src/text_recognizer/models/character_model.py index 50e94a2..f9944f3 100644 --- a/src/text_recognizer/models/character_model.py +++ b/src/text_recognizer/models/character_model.py @@ -47,8 +47,9 @@ class CharacterModel(Model): swa_args, device, ) + self.pad_token = dataset_args["args"]["pad_token"] if self._mapper is None: - self._mapper = EmnistMapper() + self._mapper = EmnistMapper(pad_token=self.pad_token,) self.tensor_transform = ToTensor() self.softmax = nn.Softmax(dim=0) @@ -65,6 +66,7 @@ class CharacterModel(Model): Tuple[str, float]: The predicted character and the confidence in the prediction. """ + self.eval() if image.dtype == np.uint8: # Converts an image with range [0, 255] with to Pytorch Tensor with range [0, 1]. |