From 1ee1acf8adfd2a856e0f6c356ad83d5f4ff5cc52 Mon Sep 17 00:00:00 2001 From: Simon Alibert <75076266+aliberts@users.noreply.github.com> Date: Thu, 30 Jan 2025 22:06:11 +0100 Subject: [PATCH] Comply with torchvision 0.21 custom transforms (#665) --- lerobot/common/datasets/transforms.py | 11 +- poetry.lock | 5302 +++++++++++++------------ pyproject.toml | 2 +- 3 files changed, 2739 insertions(+), 2576 deletions(-) diff --git a/lerobot/common/datasets/transforms.py b/lerobot/common/datasets/transforms.py index 899f0d66..a907ca5a 100644 --- a/lerobot/common/datasets/transforms.py +++ b/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: - return torch.empty(1).uniform_(left, right).item() + def make_params(self, flat_inputs: list[Any]) -> dict[str, Any]: + 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: - sharpness_factor = self._generate_value(self.sharpness[0], self.sharpness[1]) + def transform(self, inpt: Any, params: dict[str, Any]) -> Any: + sharpness_factor = params["sharpness_factor"] return self._call_kernel(F.adjust_sharpness, inpt, sharpness_factor=sharpness_factor) diff --git a/poetry.lock b/poetry.lock index 576d7e60..34655247 100644 --- a/poetry.lock +++ b/poetry.lock @@ -11,125 +11,122 @@ files = [ {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"}, ] +[[package]] +name = "addict" +version = 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