Comply with torchvision 0.21 custom transforms (#665)

lerobot/common/datasets/transforms.py

@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import collections
-from typing import Any, Callable, Dict, Sequence
+from typing import Any, Callable, Sequence
 
 import torch
 from torchvision.transforms import v2
@@ -129,11 +129,12 @@ class SharpnessJitter(Transform):
 
         return float(sharpness[0]), float(sharpness[1])
 
-    def _generate_value(self, left: float, right: float) -> float:
+    def make_params(self, flat_inputs: list[Any]) -> dict[str, Any]:
-        return torch.empty(1).uniform_(left, right).item()
+        sharpness_factor = torch.empty(1).uniform_(self.sharpness[0], self.sharpness[1]).item()
+        return {"sharpness_factor": sharpness_factor}
 
-    def _transform(self, inpt: Any, params: Dict[str, Any]) -> Any:
+    def transform(self, inpt: Any, params: dict[str, Any]) -> Any:
-        sharpness_factor = self._generate_value(self.sharpness[0], self.sharpness[1])
+        sharpness_factor = params["sharpness_factor"]
         return self._call_kernel(F.adjust_sharpness, inpt, sharpness_factor=sharpness_factor)
 
 

pyproject.toml

@@ -41,7 +41,7 @@ numba = ">=0.59.0"
 torch = ">=2.2.1"
 opencv-python = ">=4.9.0"
 diffusers = ">=0.27.2"
-torchvision = ">=0.17.1"
+torchvision = ">=0.21.0"
 h5py = ">=3.10.0"
 huggingface-hub = {extras = ["hf-transfer", "cli"], version = ">=0.25.2"}
 gymnasium = "==0.29.1" # TODO(rcadene, aliberts): Make gym 1.0.0 work