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author | aktersnurra <gustaf.rydholm@gmail.com> | 2020-12-07 22:54:04 +0100 |
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committer | aktersnurra <gustaf.rydholm@gmail.com> | 2020-12-07 22:54:04 +0100 |
commit | 25b5d6983d51e0e791b96a76beb7e49f392cd9a8 (patch) | |
tree | 526ba739714b3d040f7810c1a6be3ff0ba37fdb1 /src/text_recognizer/datasets/transforms.py | |
parent | 5529e0fc9ca39e81fe0f08a54f257d32f0afe120 (diff) |
Segmentation working!
Diffstat (limited to 'src/text_recognizer/datasets/transforms.py')
-rw-r--r-- | src/text_recognizer/datasets/transforms.py | 18 |
1 files changed, 17 insertions, 1 deletions
diff --git a/src/text_recognizer/datasets/transforms.py b/src/text_recognizer/datasets/transforms.py index 1ec23dc..016ec80 100644 --- a/src/text_recognizer/datasets/transforms.py +++ b/src/text_recognizer/datasets/transforms.py @@ -4,7 +4,7 @@ from PIL import Image import torch from torch import Tensor import torch.nn.functional as F -from torchvision.transforms import Compose, RandomAffine, ToTensor +from torchvision.transforms import Compose, RandomAffine, RandomHorizontalFlip, ToTensor from text_recognizer.datasets.util import EmnistMapper @@ -77,3 +77,19 @@ class ApplyContrast: """Apply mask binary mask to input tensor.""" mask = x > np.random.RandomState().uniform(low=self.low, high=self.high) return x * mask + + +class Unsqueeze: + """Add a dimension to the tensor.""" + + def __call__(self, x: Tensor) -> Tensor: + """Adds dim.""" + return x.unsqueeze(0) + + +class Squeeze: + """Removes the first dimension of a tensor.""" + + def __call__(self, x: Tensor) -> Tensor: + """Removes first dim.""" + return x.squeeze(0) |