Revert "much stricter ruff linting"

This reverts commit 310dbf1574.

modules/control/proc/segment_anything/__init__.py

@@ -53,7 +53,7 @@ class SamDetector:
 
     def __call__(self, input_image: Union[np.ndarray, Image.Image]=None, detect_resolution=512, image_resolution=512, output_type="pil", **kwargs) -> Image.Image:
         if "image" in kwargs:
-            warnings.warn("image is deprecated, please use `input_image=...` instead.", DeprecationWarning, stacklevel=2)
+            warnings.warn("image is deprecated, please use `input_image=...` instead.", DeprecationWarning)
             input_image = kwargs.pop("image")
         if input_image is None:
             raise ValueError("input_image must be defined.")

modules/control/proc/segment_anything/modeling/sam.py

@@ -25,8 +25,8 @@ class Sam(nn.Module):
         image_encoder: Union[ImageEncoderViT, TinyViT],
         prompt_encoder: PromptEncoder,
         mask_decoder: MaskDecoder,
-      pixel_mean: List[float] | None = None,
-      pixel_std: List[float] | None = None,
+        pixel_mean: List[float] = None,
+        pixel_std: List[float] = None,
     ) -> None:
         """
         SAM predicts object masks from an image and input prompts.

modules/control/proc/segment_anything/modeling/transformer.py

@@ -79,7 +79,7 @@ class TwoWayTransformer(nn.Module):
           torch.Tensor: the processed image_embedding
         """
         # BxCxHxW -> BxHWxC == B x N_image_tokens x C
-        _bs, _c, _h, _w = image_embedding.shape
+        bs, c, h, w = image_embedding.shape
         image_embedding = image_embedding.flatten(2).permute(0, 2, 1)
         image_pe = image_pe.flatten(2).permute(0, 2, 1)
 

modules/control/proc/segment_anything/utils/onnx.py

@@ -10,7 +10,7 @@ from torch.nn import functional as F
 
 from typing import Tuple
 
-from ..modeling import Sam  # noqa: TID252
+from ..modeling import Sam
 from .amg import calculate_stability_score