Add: fix image transform to float (#1902)

* 📚 Add action to check broken links (#1838)

* Fix broken links

* Add link checker

* Fix link in template

* linter

* nightly check

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Co-authored-by: Samet Akcay <[email protected]>

* Use LabelName ENUM for label assignment (#1881)

* Use LabelName ENUM for label assignment

* Update src/anomalib/deploy/inferencers/torch_inferencer.py

Co-authored-by: Samet Akcay <[email protected]>

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Co-authored-by: Samet Akcay <[email protected]>

* Changed prediction label assignment for OpenVINO inferencer (#1872)

* Update openvino_inferencer.py

Fixed incorrect label assignment.
Was True/False, now it's "Anomalous/Normal" as for the PyTorch inferencer in torch_inferencer.py

* Fix ruff

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Co-authored-by: Samet <[email protected]>

* Add: fix image transform to float

Signed-off-by: Bepitic <[email protected]>

* upd: video dtpe transform from torchvision

Signed-off-by: Bepitic <[email protected]>

* Added the scale.

Signed-off-by: Bepitic <[email protected]>

* Update src/anomalib/data/base/video.py

Co-authored-by: Dick Ameln <[email protected]>

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Signed-off-by: Bepitic <[email protected]>
Co-authored-by: Alexander Dokuchaev <[email protected]>
Co-authored-by: Samet Akcay <[email protected]>
Co-authored-by: TurboJonte <[email protected]>
Co-authored-by: Dick Ameln <[email protected]>

src/anomalib/data/base/video.py

@@ -10,6 +10,7 @@
 import torch
 from pandas import DataFrame
 from torchvision.transforms.v2 import Transform
+from torchvision.transforms.v2.functional import to_dtype_video
 from torchvision.tv_tensors import Mask
 
 from anomalib import TaskType
@@ -153,6 +154,7 @@ def __getitem__(self, index: int) -> dict[str, str | torch.Tensor]:
             msg = "self.indexer must be an instance of ClipsIndexer."
             raise TypeError(msg)
         item = self.indexer.get_item(index)
+        item["image"] = to_dtype_video(video=item["image"], scale=True)
         # include the untransformed image for visualization
         item["original_image"] = item["image"].to(torch.uint8)