chore: remove repetitive words (#2902)

* chore: remove repetitive words

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

docs/source/models/segment_anything.rst

@@ -173,7 +173,7 @@ Read more about the :code:`SegmentationResults` on :ref:`the official docs<ancho
 
 Load from config
 ^^^^^^^^^^^^^^^^
-You can build a SAM model by specifying the encoder parameters on the the :code:`SamConfig`, or from the model type. The
+You can build a SAM model by specifying the encoder parameters on the :code:`SamConfig`, or from the model type. The
 :code:`from_config` method will first try to build the model based on the model type, otherwise will try from the specified
 parameters. If a checkpoint URL or path for a file is seted, the method will automatically load it.
 

kornia/feature/laf.py

@@ -68,8 +68,8 @@ def get_laf_orientation(LAF: Tensor) -> Tensor:
 
 
 def rotate_laf(LAF: Tensor, angles_degrees: Tensor) -> Tensor:
-    """Apply additional rotation to the the LAFs. Compared to `set_laf_orientation`, the resulting rotation is
-    original LAF orientation plus angles_degrees.
+    """Apply additional rotation to the LAFs. Compared to `set_laf_orientation`, the resulting rotation is original
+    LAF orientation plus angles_degrees.
 
     Args:
         LAF: :math:`(B, N, 2, 3)`

kornia/geometry/calibration/distort.py

@@ -12,7 +12,7 @@ def tilt_projection(taux: torch.Tensor, tauy: torch.Tensor, return_inverse: bool
     Args:
         taux: Rotation angle in radians around the :math:`x`-axis with shape :math:`(*, 1)`.
         tauy: Rotation angle in radians around the :math:`y`-axis with shape :math:`(*, 1)`.
-        return_inverse: False to obtain the the tilt projection matrix. True for the inverse matrix.
+        return_inverse: False to obtain the tilt projection matrix. True for the inverse matrix.
 
     Returns:
         torch.Tensor: Inverse tilt projection matrix with shape :math:`(*, 3, 3)`.

kornia/geometry/ransac.py

@@ -160,15 +160,15 @@ def validate_inputs(self, kp1: Tensor, kp2: Tensor, weights: Optional[Tensor] =
             KORNIA_CHECK_SHAPE(kp2, ["N", "2"])
             if not (kp1.shape[0] == kp2.shape[0]) or (kp1.shape[0] < self.minimal_sample_size):
                 raise ValueError(
-                    "kp1 and kp2 should be                                  equal shape at at least"
+                    "kp1 and kp2 should be                                  equal shape at least"
                     f" [{self.minimal_sample_size}, 2],                                  got {kp1.shape}, {kp2.shape}"
                 )
         if self.model_type == "homography_from_linesegments":
             KORNIA_CHECK_SHAPE(kp1, ["N", "2", "2"])
             KORNIA_CHECK_SHAPE(kp2, ["N", "2", "2"])
             if not (kp1.shape[0] == kp2.shape[0]) or (kp1.shape[0] < self.minimal_sample_size):
                 raise ValueError(
-                    "kp1 and kp2 should be                                  equal shape at at least"
+                    "kp1 and kp2 should be                                  equal shape at least"
                     f" [{self.minimal_sample_size}, 2, 2],                                  got {kp1.shape},"
                     f" {kp2.shape}"
                 )